DEV Community: belva2192

Podcast Workflow

belva2192 — Fri, 07 Aug 2026 09:14:00 +0000

Build a complete podcast production system via OpenClaw Ultra. From episode planning and script generation to AI audio cleanup, social clip creation, and multi-platform distribution, manage your entire podcast operation from a single chat interface.

Core System Overview

💡 INFO:
This is a closed-loop podcast production workflow. OpenClaw Ultra handles episode planning, script drafting, AI audio cleanup guidance, transcript review, content repurposing, clip creation, and performance analysis, so you can publish consistently without spending every weekend editing.

System Layer	Core Function	Final Output
Planning Layer	Topic research, episode outlining, guest research, content calendar	Scheduled episodes with outlines ready to record
Script Layer	Episode script generation, intro/outro writing, segment structuring	Recording-ready scripts in natural speaking language
Recording Layer	Recording setup guidance, guest briefing, prep checklists	Clean recording session with minimal technical issues
Cleanup Layer	AI audio editing guidance, filler word removal, noise reduction, leveling	Polished audio ready for post-production
Transcript Layer	Automated transcription, show notes, chapter markers, episode description	Searchable transcript and episode metadata
Repurposing Layer	Content extraction, blog post generation, newsletter copy, audiogram scripting	20+ content assets from one recording
Clips Layer	AI clip detection, short-form clip extraction, caption generation	Platform-ready social clips for TikTok, Reels, Shorts, LinkedIn
Distribution Layer	RSS publishing, platform submission, social scheduling, performance tracking	Live episode across all platforms with promotion assets
Review Layer	Episode performance analysis, audience feedback synthesis, workflow tuning	Data-driven improvements for next episode

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
Recording Setup	Microphone, headphones, quiet recording space
Audio Hosting Account	(Recommended) Riverside, Descript, Podbean, Buzzsprout, or Transistor for RSS hosting
Transcription Service	(Recommended) Riverside (free unlimited), Otter.ai, or Descript
Clip Repurposing Tool	(Recommended) Opus Clip, Kapwing, or Descript for AI clip generation
Email Marketing Tool	(Recommended) ConvertKit, Mailchimp, or Beehiiv for newsletter distribution

Step 0 — Initialize Your Podcast Production System

Set up OpenClaw Ultra as your podcast production manager.

Operation Steps

Open a new chat session on OpenClaw Ultra
Have your podcast concept, existing episode list, and recording workflow ready
Paste the initialization prompt
For content repurposing beyond podcast audio, see the SEO Content Workflow

Ready-to-Use Prompt

Act as my podcast production manager.

My show:
- Podcast name: [name]
- Format: [solo / interview / co-host / hybrid]
- Niche/topic: [brief description]
- Target audience: [who listens and why]
- Current episode count: [number]
- Publishing cadence: [weekly / biweekly / monthly]
- Average episode length: [minutes]

My biggest production problems:
- I spend [6-12] hours on post-production editing per episode, mostly removing filler words and dead air
- I never have time to create social clips — my episodes get zero promotion
- Show notes and episode descriptions are an afterthought, if I write them at all
- I have [dozens / hundreds] of past episodes that never got repurposed into clips or blog posts
- My content calendar runs dry every few weeks and I scramble for episode ideas
- Transcription takes forever and I never review it for accuracy

Build me a production system that:
- Plans episodes weeks in advance so I never scramble for ideas
- Generates episode outlines and scripts that sound like natural speech, not written prose
- Guides me through AI-powered audio cleanup so editing takes minutes instead of hours
- Creates a transcript that's accurate enough to publish as show notes and a blog post
- Extracts 15-30 social clips per episode automatically
- Turns every recording into blog posts, newsletter copy, quote cards, and LinkedIn posts
- Tracks episode performance so I know what topics resonate and what to do next

Step 1 — Plan Your Episode Calendar

Replace the last-minute scramble with a planned content pipeline that generates episodes weeks ahead.

1.1 Generate Episode Ideas for the Next 8 Weeks

Prompt

Generate 8 episode topics for my podcast: [podcast name], about [niche], for [target audience].

For each episode, provide:
- Episode title (3 options — punchy, searchable, shareable)
- Core thesis (one sentence: what will listeners learn or feel after this episode)
- 3 main talking points
- Ideal format (solo deep-dive / interview with a specific guest type / panel / case study)
- Suggested guest if applicable (role + the angle they'd bring)
- Hook (one compelling line to use in episode intro or promo)

Rules:
- Vary the formats so not every episode is the same type
- Include 1-2 episodes that address common misconceptions in your niche
- Include 1 episode tied to a current event or trend in [industry]
- Distribute difficulty: some should be evergreen, some timely
- Match the publishing cadence of [weekly / biweekly] in mind

Return as a table: Episode #, Title Option, Format, Guest (if any), Core Talking Points (3 bullets), Hook.

1.2 Create a Deep-Dive Episode Outline

Prompt

Build a detailed outline for an episode about: [topic from your calendar].

Format: [solo / interview / panel]
Target length: [30-45] minutes
Audience level: [beginner / intermediate / advanced]

Structure requirements:
- Opening hook (first 60 seconds — grab attention immediately)
- Context setting (why this topic matters right now, 1-2 minutes)
- Main body: [4-6] segments, each with a specific point, evidence, and transition
- Each segment should be [5-8] minutes
- Q&A or listener questions segment (if applicable)
- Closing summary (3 key takeaways)
- Call to action (what should listeners do after this episode — subscribe, rate, visit site, etc.)

For each segment:
- Segment name and purpose
- Key points to hit (bullet format)
- Story or example to include
- Transition line to next segment

Rules:
- Outline should be skimmable — I need to see the structure at a glance during recording
- Include specific questions if this is an interview episode
- Note where I should pause for listener engagement (questions to ask the audience)
- Flag any segments that overlap with recent episodes so you can avoid repetition

Step 2 — Draft Your Episode Script

Write scripts that sound like natural conversation, not written essays.

2.1 Generate a Full Episode Script

Prompt

Write a complete episode script for my podcast about: [topic].

Format: [solo / interview]
Target length: [30-45] minutes
Tone: [conversational / authoritative / interview-style / storytelling]

Write the script in natural spoken language — this will be read aloud, not read silently.

Rules:
- Use short sentences. Spoken English runs 130-160 words per minute; a 40-minute episode needs [5,200-6,400] words
- Avoid passive voice and academic phrasing
- Include placeholders for: [story or example you'd share here], [data point to verify], [transition phrase]
- For interview episodes: write the host questions in full, write brief framing for guest answers (let the guest bring the substance)
- Add [PAUSE] markers before key transitions
- Add [SOUND EFFECTS] or [MUSIC] cues where appropriate
- Don't over-script the intro — make it feel natural, not read from a teleprompter

Format the output with clear section headers so I can navigate quickly during recording.

Return the full script with word count per section. Target word count: [X].

2.2 Write Episode Intro and Outro

Prompt

Write the intro and outro for my episode about: [topic].

Intro requirements:
- Duration: [30-60] seconds
- Hook: open with a striking fact, question, or statement that makes someone listen to the end of the intro
- Name drop: mention the show name and this episode's focus clearly
- Guest intro (if applicable): [X] sentence bio that establishes credibility
- Preview: one sentence on what listeners will get from this episode
- Tone: energetic but not fake — conversational confidence

Outro requirements:
- Duration: [45-90] seconds
- Recap: three key takeaways in one sentence each
- Call to action: subscribe, rate, review, share (pick the one that matters most right now)
- Teaser: hint at next episode topic or a reason to come back
- Sign-off: consistent closing phrase I'll use every episode

Return as two separate scripts with timing estimates. The intro should work standalone if someone finds you mid-episode and needs context.

Step 3 — Guide AI Audio Cleanup

Walk through your post-production workflow using AI tools, from raw recording to polished episode.

3.1 Create Your Cleanup Checklist by File

Prompt

I've just exported the raw audio from my recording session. The file is: [filename / URL].

Walk me through a step-by-step cleanup in this order:

Step 1 — Backup and organize
- Save the raw file as an archive before touching anything
- Create a project folder: [podcast name] - Episode [XX] - [YYYY-MM-DD]
- Name the raw file: raw_[episode number].wav

Step 2 — Noise reduction
- Use [Descript / Adobe Podcast Enhance Speech / Auphonic / Cleanvoice] to run a noise reduction pass
- Settings to use: [your preferred tool and settings]
- Listen to 30 seconds before and after to check for artifacts (robotic tinny quality = too aggressive)

Step 3 — Filler word removal
- Run filler word detection: um, uh, like, you know, basically, actually, I mean, so yeah
- Do NOT remove every instance — only remove the ones that disrupt the flow or repeat within [5] seconds
- Review each flagged section before approving removal
- Target: reduce filler word density by [60-70]%, not [100]%

Step 4 — Dead air and silence trimming
- Remove silences longer than [2] seconds
- Check for accidental long pauses mid-sentence — trim those
- Don't remove all silence — natural speech needs breathing room

Step 5 — Audio leveling
- Normalize loudness to [-16 LUFS] for podcast standard
- Check for volume spikes (guest laughing, coughing) and reduce to match
- Run a final pass with [Auphonic / Lumen5] for consistent leveling

Step 6 — Intro/outro insertion
- Add intro music (file: [path]) at [0:00], fade in over [2] seconds
- Add outro music (file: [path]) starting at [timestamp of end], fade out over [3] seconds
- Include sponsor read placement marker if applicable

Return a checklist I can tick off as I go through each step. Note which tools to use and where to find them.

3.2 Flag Audio Issues for Human Review

Prompt



Review the cleaned audio for [episode name] and flag any issues that need human attention.

Check for:
1. Sentences that got cut awkwardly by AI filler word removal
2. Places where the audio cuts feel abrupt (should have a soft transition)
3. Cross-talk moments where both speakers talk over each other
4. Audio glitches: clipping, dropouts, echo
5. Names or numbers that the AI might have transcribed incorrectly
6. The first and last [30] seconds of the episode — these need extra quality review

Return a table: timestamp, issue type, what I hear, recommended fix. For anything that could just be a weird quirk of the recording (not an actual problem), mark it as "keep as-is."

Rules:
- Flag real problems only. If it sounds fine, say so.
- For cross-talk: decide if both voices matter or if one should be reduced
- For name mis-transcriptions: provide the correct spelling

## Step 4 — Generate Transcripts and Show Notes
Turn your audio into searchable, publishable written content.


Showing 5/11 sections. Full content: [Podcast Workflow](https://openclaw.aiondesktop.com/tutorials/36)

OpenClaw Customer Success Workflow

belva2192 — Thu, 06 Aug 2026 10:16:57 +0000

Build a complete customer success management system via OpenClaw Ultra. From sales-to-CS handoff and structured onboarding to health monitoring, value reviews, renewal management, expansion, and churn intervention, run your entire customer success operation from a single chat interface.

Core System Overview

💡 INFO
This is a closed-loop customer success workflow. OpenClaw Ultra handles account handoff, onboarding execution, health scoring, business reviews, renewal management, expansion identification, and churn intervention, so you can retain and grow your book of business without jumping between your CRM, CS platform, and inbox.

System Layer	Core Function	Final Output
Handoff Layer	Sales-to-CS transition, account setup, success plan creation	Onboarded account with documented success criteria
Onboarding Layer	Kickoff execution, implementation tracking, training, milestone management	Customer at first value with active engagement
Health Layer	Health score calculation, usage monitoring, risk signal detection	Scored portfolio with risk-ranked accounts
Value Layer	Outcome tracking, ROI documentation, QBR preparation	Documented value evidence and executive summaries
Renewal Layer	Pipeline management, stakeholder mapping, negotiation, contract processing	Signed renewals (ideally with expansion)
Expansion Layer	Opportunity detection, business case development, cross-sell coordination	Qualified expansion pipeline
Intervention Layer	Churn signal response, save plan creation, escalation management	Executed save plans with outcome tracking
Optimization Layer	Portfolio analysis, playbook refinement, process iteration	Improved retention and expansion rates

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
CRM Account	Active account with API access (HubSpot, Salesforce, Pipedrive, or similar)
CRM API Credentials	API key or OAuth token with read/write permissions
Customer Portfolio	List of managed accounts with contract terms and renewal dates
Product Usage Data	(Recommended) Access to product analytics or usage logs for health scoring
Support Ticketing	(Recommended) Access to support platform (Zendesk, Intercom, Freshdesk) for ticket volume data

Step 0 — Initialize Your Customer Success System

Set up OpenClaw Ultra as your dedicated customer success manager.

Operation Steps

Open OpenClaw Ultra new chat session
Gather your CRM credentials, portfolio data, and any CS platform integrations
Paste the initialization prompt

Ready-to-Use Prompt

Act as my customer success manager.

My company:
- Product: [product name]
- Industry: [industry]
- CRM platform: [HubSpot / Salesforce / Pipedrive / other]
- CRM credentials: [API key or token]
- CS platform: [Gainsight / ChurnZero / Totango / none]
- Support platform: [Zendesk / Intercom / Freshdesk / none]

My portfolio:
- Number of accounts: [count]
- Typical contract value: [$ range]
- Renewal cycle: [monthly / annual / multi-year]
- Average time-to-first-value: [days or weeks]

My biggest operational pain points:
- I manage [40-80+] accounts and spend most afternoons firefighting instead of doing proactive work
- Account context is scattered across CRM, support tickets, product analytics, billing, and spreadsheets
- I often build relationships with daily users but miss the executive sponsor who controls the renewal
- I own renewal and expansion targets but get little commercial training or negotiation support
- My current health score feels unreliable — it misses churn risks or cries wolf too often

Build a complete customer success management system that directly addresses these pain points. The system must:
- Surface only the accounts that actually need my attention this week (no noise)
- Pull fragmented data into one place so I don't have to check five tabs before every call
- Map executive sponsors and renewal decision-makers, not just friendly users
- Generate renewal and expansion packages with concrete talking points and counteroffers
- Use a health score built mostly on leading behavioral signals, not gut feel or lagging surveys

Step 1 — Onboard New Customers

Bring new accounts into the system and get them to first value fast.

1.1 Execute Sales-to-CS Handoff

Prompt

I have a new customer that just closed. Run a sales-to-CS handoff.

Customer details:
- Company: [customer name]
- Contract value: [$ amount]
- Term: [length]
- Stakeholders: [names and roles]
- Champion: [name]
- Implementation deadline: [date]

From the sales notes, I need:
1. What was promised during the sales cycle — features, timelines, support level
2. Their stated goals and success criteria for year one
3. Any red flags or concerns raised during negotiations
4. The technical setup requirements and who handles each piece
5. Key relationships — who advocated for us and who was skeptical

Because I have too many accounts to dig through scattered notes, create a single handoff record I can trust. For every missing piece, flag it as a data gap with the exact person or system I need to fill it, and do not make assumptions.

Create the initial account record in the CRM with:
- A verified CRM entry with all contract details
- A stakeholder map showing relationships and influence levels
- A handoff summary document for my records
- A list of data gaps that still need to be filled from sales

1.2 Run Kickoff and Build Success Plan

Prompt

Prepare a structured kickoff and 30-60-90 day success plan for [customer name].

Customer profile:
- Industry: [industry]
- Company size: [employees]
- Primary use case: [what they bought the product for]
- Decision criteria: [what they evaluated us against]
- Go-live date: [date]
- Integration requirements: [list any technical integrations needed]

The success plan must include:
- Week 1: Technical setup, user provisioning, admin training
- Days 8-30: Core use case enablement, first workflow live, first value milestone defined
- Days 31-60: Feature expansion, additional user onboarding, process integration
- Days 61-90: Full adoption, measurable outcome review, QBR scheduling

For each phase, specify:
- The concrete action the customer needs to take
- What successful completion looks like
- How we will measure it
- Who owns each action (us vs. customer)

Given my portfolio size, I cannot babysit every account. Build this plan so a customer can self-execute most steps with checkpoints, and I only intervene when a milestone is missed.

Return a calendar timeline with specific milestone dates and a shared tracking document.

💡 INFO
Time-to-first-value is the single strongest predictor of retention. Customers who hit their first value milestone within 30 days retain at significantly higher rates. Structure every onboarding plan to compress this timeline.

Step 2 — Monitor Account Health

Build a system that continuously tracks account health and flags risks before they become churn. For lead qualification signals that feed into onboarding, see the AI SDR Workflow.

2.1 Set Up Health Scoring

Prompt

Build a health scoring model for my portfolio.

Available data sources:
- CRM: [HubSpot / Salesforce / other] — last activity date, deal history, support tickets
- Product usage: [source] — login frequency, feature adoption, session depth
- Support: [Zendesk / Intercom / other] — ticket volume, sentiment, response time
- Billing: [Stripe / Chargebee / other] — payment status, plan changes
- Survey: NPS / CSAT scores if available

Design a scoring model with:
1. Four health tiers: Green (on track), Yellow (attention needed), Orange (at risk), Red (critical)
2. Weighted signals — use 80% leading indicators (login frequency, feature breadth, stakeholder engagement) and 20% lagging indicators (NPS, CSAT)
3. Automated alerts when an account drops from Green to Yellow or below

For each tier, define:
- The specific signal thresholds that trigger that tier
- The recommended CSM action for accounts in that tier
- The escalation path if an account stays in Orange or Red for more than [X] days

I do not trust vague health scores. Calibrate every threshold to a behavior I can verify in the data, not a subjective score. Show me exactly how each account landed in its tier.

Apply the model to my current portfolio and return a ranked list from most to least at risk.

2.2 Run Weekly Health Scan

Prompt

Run my weekly portfolio health scan.

For each account, check:
1. Login frequency this week compared to baseline — flag any account below 70% of normal
2. Feature adoption — list features with declining usage across the portfolio
3. Open support tickets — flag accounts with 3+ open tickets or tickets older than 5 days
4. Stakeholder changes — any departures, new hires, or role changes at key accounts
5. Contract milestones — upcoming renewals, expirations, or price increases due

Return:
- Accounts that moved down a health tier since last week (with reason)
- Accounts that moved up a health tier (with reason)
- Accounts that need human attention this week (max 3 priority accounts)
- Any patterns across the portfolio I should know about

Do not give me a long list of every account. I have too many. Give me only the 3 I must act on this week, with the one specific action for each, plus the single portfolio pattern I should escalate internally.

Step 3 — Deliver Business Reviews

Connect product usage to measurable business outcomes and keep executive stakeholders engaged.

3.1 Prepare a Quarterly Business Review

Prompt

Prepare a Quarterly Business Review for [customer name].

Customer context:
- Account age: [months since go-live]
- Product: [product name and edition]
- Users: [licensed vs. active users]
- Annual contract value: [$ amount]
- Previous QBR outcomes: [notes from last review]

Data to pull:
1. Usage trends — login frequency, active users, feature adoption over the quarter
2. Support history — ticket volume, resolution time, common issues
3. Outcomes achieved — what they said they wanted vs. what they accomplished
4. Expansion signals — new use cases, new departments expressing interest, power user behavior
5. Risk signals — declining usage, stakeholder departures, unresolved escalations

Structure the QBR deck:
- Executive summary (one page): what happened, what it means, what we recommend
- Usage and adoption section with trend lines, not static numbers
- ROI section connecting usage data to business outcomes
- Joint success plan for next quarter with specific, measurable commitments from both sides
- Risk section if applicable — be direct about issues, don't bury them
- Stakeholder map update: identify the executive sponsor who controls the renewal and any new influencers or detractors

Return the full QBR script with slide-by-slide talking points.

⚠️ WARNING !!!
If you cannot document concrete ROI in a QBR, the renewal is at risk. Do not present feature adoption metrics as value — executives care about outcomes, not login counts. If the data shows the customer hasn't achieved measurable results, address it directly in the review rather than papering over it with activity metrics.

3.2 Document Account ROI

Prompt

Document the ROI achieved by [customer name] since onboarding.

Data to analyze:
- Time saved: compare pre-product manual process time vs. current automated time
- Cost reduction: any headcount reallocation, tool consolidation, or efficiency gains
- Revenue impact: any revenue generated through or because of the product
- Productivity lift: output per user before and after adoption
- Risk reduction: errors eliminated, compliance gaps closed, SLAs improved

For each category:
1. Pull the actual numbers from usage data and customer-provided metrics
2. Dollarize the impact where possible — time saved = hourly rate x hours
3. Use the customer's own stated goals from the kickoff as the benchmark
4. Flag any category where we don't have data — note what we need to track next quarter

Return a one-page ROI summary suitable for an executive audience. No jargon. Specific numbers. Clear before-and-after comparison.

Step 4 — Manage Renewals

Build a renewal pipeline that gives you 90 days of visibility and structured preparation.

Showing 5/11 sections. Full content: https://openclaw.aiondesktop.com/tutorials/34

OpenClaw Notion Workflow

belva2192 — Tue, 04 Aug 2026 09:49:39 +0000

Build a complete Notion workspace management system via OpenClaw Ultra. From creating databases and pages to querying content and generating status reports, operate your entire Notion workspace from a single chat interface.

Core System Overview

ℹ️ Info

This is a closed-loop Notion workspace management workflow. OpenClaw Ultra handles database operations, page creation, content search, task tracking, and report generation via the Notion API, so you can manage your workspace without opening the Notion app.

System Layer	Core Function	Final Output
Connection Layer	API token setup, workspace authentication, connection verification	Verified Notion API connection
Database Layer	Create databases, query entries, manage schemas	Structured database with defined properties
Content Layer	Create pages, update blocks, manage page hierarchy	Published pages and documents
Search Layer	Workspace search, content retrieval, cross-database queries	Ranked search results with context
Task Layer	Task databases, status tracking, due date management	Tracked task pipeline
Reporting Layer	Database summaries, status reports, workspace analytics	Periodic workspace reports
Optimization Layer	Workspace structure review, automation rule suggestions, template creation	Improved workspace organization

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
Notion Account	Active workspace with admin or write access
Notion Integration Token	Internal integration token from notion.com/my-integrations

Step 0 — Initialize Your Notion System

Set up OpenClaw Ultra as your dedicated Notion workspace manager.

Operation Steps

Open OpenClaw Ultra new chat session
Create a Notion internal integration and copy the token
Share the relevant databases/pages with your integration
Paste the initialization prompt

Ready-to-Use Prompt

Act as my Notion workspace manager.

My Notion workspace:
- Workspace name: [name]
- Integration token: [token]
- Key databases: [list of database names and their purposes]

Build a complete Notion management system that covers:
- database creation and querying
- page creation and editing
- content search and retrieval
- task tracking
- status reporting

Step 1 — Connect to the Notion API

Establish a verified connection between OpenClaw Ultra and your Notion workspace.

1.1 Create and Configure an Integration

Walk me through creating a Notion internal integration.

I need:
1. A token from notion.com/my-integrations
2. The integration shared with the databases I want to manage
3. The Notion-Version header to use

When done, test the connection by listing the databases shared with the integration.

1.2 Verify Connection and List Databases

Test my Notion API connection using this token: [token]

Run these checks:
1. Call GET /v1/users/me to verify the token works
2. Call POST /v1/search with filter "value": "data_source" to list all shared databases
3. For each database, return: its name, ID, and data source IDs

If any step fails, explain what is wrong and how to fix it.

Step 1 Output

Verified Notion API connection with a list of accessible databases and their IDs.

Step 2 — Create and Configure Databases

Build structured databases directly from chat.

2.1 Create a New Database

Create a Notion database with these specifications:

Title: [database name]
Parent page: [page ID or "workspace"]
Properties:
- Name: title (default)
- Status: select with options: To Do, In Progress, Done
- Priority: select with options: Low, Medium, High, Urgent
- Due Date: date
- Assignee: people
- Tags: multi-select

After creation, return the database ID, data source ID, and a confirmation that it is ready.

2.2 Add Database Properties

Add these properties to the database [database ID or name]:

- [property name]: [type — text / number / select / date / people / relation]
- [property name]: [type]

Use the Update Data Source API. Confirm each property was added by retrieving the schema.

2.3 Query Database Entries

Query the database [database ID or name] with these filters:

Filters:
- Status contains "To Do" OR Status contains "In Progress"
- Due Date is not empty

Sort by Due Date ascending, limit to 20 results.

Return:
- Total matching entries
- Each entry: page name, status, due date, assignee
- Any entries past their due date flagged as overdue

Step 2 Output

Configured databases with defined properties and queryable data.

Showing 5/11 sections. Full content: https://openclaw.aiondesktop.com/tutorials/30

PPC Campaign Strategist

belva2192 — Mon, 03 Aug 2026 10:23:40 +0000

Build a complete pay-per-click advertising management system via OpenClaw Ultra. From keyword research to ad copy creation to landing page optimization to bid strategy to A/B testing to performance analysis, manage your entire PPC operation from a single chat interface.

Core System Overview

INFO
This is a closed-loop PPC campaign workflow. OpenClaw Ultra researches keywords, writes ad copy, generates negative keyword lists, reviews landing pages, recommends bid strategies, designs A/B tests, and analyzes performance — so you can maximize ROI on your ad spend.

System Layer	Core Function	Final Output
Keyword Research Layer	Keyword discovery, search volume analysis, intent classification	Keyword list with metrics
Ad Copy Layer	Headline generation, description writing, extension creation	Complete ad sets
Negative Keyword Layer	Irrelevant term identification, waste spend prevention	Negative keyword lists
Landing Page Layer	Page review, CRO recommendations, message match verification	Landing page optimization report
Bid Strategy Layer	Budget allocation, bid recommendations, campaign structure	Bid strategy configuration
A/B Testing Layer	Test design, variant creation, success metric definition	A/B test plan
Performance Layer	Metrics analysis, ROI calculation, optimization recommendations	Performance reports with actions

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
Ad Platform Access	Google Ads, Meta Ads, Microsoft Ads, or other PPC platform
Product/Service Details	What you're advertising, pricing, unique selling points
Target Audience	Demographics, interests, geographic targeting
Budget	Daily or monthly ad spend budget
Landing Page (Recommended)	Existing page to send traffic to

Step 0 — Initialize Your PPC System

Set up OpenClaw Ultra as your dedicated PPC campaign manager.

Operation Steps

Open OpenClaw Ultra new chat session
Paste the initialization prompt
Fill in your business and campaign details

Ready-to-Use Prompt

Act as my PPC campaign strategist.

My business:
- Product/Service: [what you sell]
- Target audience: [who buys it]
- Unique selling proposition: [why they should choose you]
- Price point: [pricing]
- Geographic target: [countries/regions]

My PPC goals:
- Primary objective: [leads / sales / traffic / brand awareness]
- Target CPA (cost per acquisition): [amount]
- Target ROAS (return on ad spend): [X:1]
- Monthly budget: [amount]

Platforms I use:
- [Google Ads / Meta Ads / Microsoft Ads / other]

Build a complete PPC management system covering:
- keyword research
- ad copy creation
- negative keyword management
- landing page optimization
- bid strategy
- A/B testing
- performance analysis

Step 1 — Research & Select Keywords

Discover high-intent keywords that drive conversions.

1.1 Seed Keyword Expansion

Prompt

Expand my seed keywords for PPC campaigns:

Seed keywords:
- [keyword 1]
- [keyword 2]
- [keyword 3]

For each seed keyword, generate:
- Exact match variations
- Phrase match variations
- Long-tail variations (3+ words)
- Question-based keywords (how, what, where, why)
- Commercial intent keywords (buy, price, cost, best, review)

Also suggest:
- Related keywords I may have missed
- Competitor keywords to target
- Seasonal keyword opportunities

Output: expanded keyword list grouped by theme.

1.2 Keyword Analysis & Scoring

Prompt

Analyze and score my keyword list:

[paste keyword list]

For each keyword, assess:
- Search intent: informational / navigational / commercial / transactional
- Competition level: low / medium / high
- Estimated CPC range: [low] - [high]
- Conversion potential: low / medium / high
- Recommendation: target / test / avoid

Scoring criteria:
- Transactional intent: +3 points
- High conversion potential: +2 points
- Low competition: +1 point
- Brand keywords: +2 points
- Informational intent: -1 point

Output: keyword list sorted by priority score.

1.3 Keyword Grouping & Match Types

Prompt

Organize keywords into ad groups:

[paste scored keyword list]

Grouping rules:
- 5-20 keywords per ad group
- Group by theme/intent (not just similarity)
- Each group should have a clear ad message

For each ad group:
- Ad group name
- Theme description
- Keywords with match types:
  - Exact: [high-intent, ready-to-convert]
  - Phrase: [research-stage, comparing options]
  - Broad: [discovery, top-of-funnel] (use with caution)

Output: campaign structure with ad groups and keyword assignments.

Step 1 Output

Organized keyword list with ad groups, match types, and priority scores.

Step 2 — Create High-Converting Ad Copy

Write compelling ads that drive clicks and conversions.

2.1 Search Ad Copy

Prompt

Write search ads for each ad group:

Ad group: [name]
Theme: [description]
Keywords: [list]
Landing page: [URL]
Unique selling points: [list]

For each ad, provide:
- Headline 1 (30 chars max): [include primary keyword]
- Headline 2 (30 chars max): [benefit or offer]
- Headline 3 (30 chars max): [CTA or trust signal]
- Description 1 (90 chars max): [expand on offer + CTA]
- Description 2 (90 chars max): [secondary benefit + urgency]

Write 3 ad variations per group for A/B testing.

Also suggest:
- Sitelink extensions (4 minimum)
- Callout extensions (4 minimum)
- Structured snippet extensions

2.2 Responsive Search Ad (RSA)

Prompt

Create a Responsive Search Ad for [ad group]:

Requirements:
- 15 headlines (30 chars each)
- 4 descriptions (90 chars each)

Headline mix:
- 5 headlines with primary keyword
- 3 headlines with secondary keywords
- 3 headlines with benefits/offers
- 2 headlines with CTAs
- 2 headlines with trust signals (awards, reviews, stats)

Description mix:
- 2 descriptions focused on benefits
- 1 description focused on features
- 1 description with urgency/social proof

Pin critical headlines to position 1 (if needed for brand compliance).

2.3 Ad Copy for Other Platforms

Prompt

Adapt my ad copy for [Meta Ads / LinkedIn Ads / other]:

Original search ad: [paste ad copy]

For [platform]:
- Primary text (125 chars): [hook + benefit]
- Headline (40 chars): [clear value proposition]
- Description (30 chars): [CTA]
- Call-to-action button: [Learn More / Shop Now / Sign Up / etc.]

Additional formats:
- Carousel card headlines (if applicable)
- Video ad script (15s / 30s)
- Story ad text overlay

Maintain message consistency across platforms while adapting to format.

Step 2 Output

Complete ad copy sets ready for campaign launch.

Step 3 — Build Negative Keyword Lists

Prevent wasted spend on irrelevant clicks.

3.1 Standard Negative Keywords

Prompt

Generate negative keyword lists for my campaigns:

My business: [description]
My product/service: [what I sell]

Standard negatives to add:
- Job seekers: jobs, careers, hiring, salary, resume
- Free seekers: free, cheap, discount, torrent, download
- DIY/DYI: how to, tutorial, DIY, make your own
- Research-only: definition, meaning, what is, history
- Competitor brands (if not targeting): [list]
- Irrelevant industries: [list]

Category-specific negatives:
- [Campaign 1]: [relevant negatives]
- [Campaign 2]: [relevant negatives]

Output: negative keyword lists organized by campaign and match type.

3.2 Search Query Mining

Prompt

Analyze these search queries for negative keyword candidates:

[paste search query report data]

For each query:
- Is it relevant to my business? Yes/No
- Should I add it as a negative? Yes/No
- Match type: exact / phrase / broad
- Reason: [why negative or not]

Flag queries that:
- Have clicks but zero conversions
- Are clearly unrelated to my offering
- Are competitor brand searches (unless intentional)
- Indicate wrong intent (research vs. purchase)

Output: recommended negative keywords to add.

Step 3 Output

Comprehensive negative keyword lists to eliminate wasted spend.

Step 4 — Optimize Landing Pages

Ensure your landing pages convert the traffic you're sending.

Showing 5/11 sections. Full content: https://openclaw.aiondesktop.com/tutorials/28

OpenClaw Finance Tracker

belva2192 — Thu, 30 Jul 2026 10:08:58 +0000

Build an automated personal or business finance tracking system via OpenClaw Ultra. From transaction import to categorization to budget monitoring to financial reporting, manage your entire financial picture from a single chat interface.

Core System Overview

ℹ️ Info

This is a closed-loop finance tracking workflow. OpenClaw Ultra imports your financial data, automatically categorizes transactions, monitors budgets, analyzes spending patterns, generates reports, and alerts you to anomalies — so you can maintain full visibility and control over your finances.

System Layer	Core Function	Final Output
Data Import Layer	Bank CSV/API import, transaction parsing, data cleaning	Structured transaction dataset
Categorization Layer	Auto-categorization rules, merchant mapping, split transactions	Categorized transaction ledger
Budget Layer	Budget setting, spending limits, category thresholds	Budget tracking dashboard
Analysis Layer	Spending trends, income vs. expense, cash flow analysis	Financial health insights
Reporting Layer	Monthly summaries, category breakdowns, year-over-year comparison	Financial reports
Alert Layer	Budget overages, unusual spending, bill reminders	Proactive financial alerts

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
Transaction Data	CSV export from bank, credit card, or accounting software
Budget Categories (Optional)	Pre-defined spending categories and limits
Financial Goals (Optional)	Savings targets, debt payoff plans, investment goals

Step 0 — Initialize Your Finance Tracking System

Set up OpenClaw Ultra as your dedicated financial manager.

Operation Steps

Open OpenClaw Ultra new chat session
Prepare your transaction data (CSV export)
Paste the initialization prompt

Ready-to-Use Prompt

Act as my personal finance tracker and analyst.

My financial profile:
- Currency: [USD / EUR / CNY / other]
- Income type: [salary / freelance / business / mixed]
- Tracking scope: [personal / business / both]
- Primary accounts: [checking, credit card, savings, etc.]

My financial goals:
- Monthly savings target: [amount]
- Debt payoff: [if applicable]
- Budget limits by category: [if pre-defined]

Data I can provide:
- Bank transaction CSV exports
- Credit card statements
- Manual transaction entries

Build a complete finance tracking system covering:
- transaction import and categorization
- budget monitoring
- spending analysis
- monthly reporting
- anomaly detection and alerts

Step 1 — Import & Clean Transaction Data

Load your financial data and prepare it for analysis.

1.1 CSV Import

Prompt

Import my bank/credit card transactions:

[paste CSV data or upload file]

Column mapping:
- Date: [column name]
- Description: [column name]
- Amount: [column name]
- Type: [debit/credit or column name]
- Category: [if available]

Tasks:
1. Parse the CSV format
2. Standardize date format (YYYY-MM-DD)
3. Clean merchant names (remove extra codes, abbreviations)
4. Remove duplicates
5. Flag any parsing errors

Output: cleaned transaction count and sample rows.

1.2 Multi-Account Consolidation

Prompt

Consolidate transactions from multiple accounts:

Account 1: [name] — [paste data]
Account 2: [name] — [paste data]
Account 3: [name] — [paste data]

Tasks:
1. Merge all transactions into single ledger
2. Add account identifier column
3. Sort by date (newest first)
4. Remove inter-account transfers (to avoid double counting)
5. Generate consolidated summary

Output: unified transaction ledger with account tags.

Step 1 Output

Clean, consolidated transaction dataset ready for categorization.

Step 2 — Auto-Categorize Transactions

Apply intelligent categorization rules to your transactions.

2.1 Category Definition

Prompt

Set up my transaction categories:

Default categories:
- Housing: rent, mortgage, property tax, HOA
- Utilities: electric, gas, water, internet, phone
- Food: groceries, restaurants, coffee, delivery
- Transport: gas, parking, rideshare, public transit, insurance
- Shopping: clothing, electronics, home goods, Amazon
- Health: medical, pharmacy, gym, insurance
- Entertainment: streaming, events, hobbies, books
- Education: courses, books, subscriptions
- Income: salary, freelance, refunds, gifts
- Savings: investments, emergency fund, retirement
- Other: uncategorized, miscellaneous

Custom categories I want to add:
- [category 1]: [description]
- [category 2]: [description]

Save as my permanent category structure.

2.2 Auto-Categorization Rules

Prompt

Create auto-categorization rules for my transactions:

Merchant patterns:
- "WALMART" → Shopping (Groceries if < $100)
- "NETFLIX" → Entertainment
- "SHELL" → Transport
- "AMAZON" → Shopping (review needed)
- [add your common merchants]

Rule types:
- Exact match: merchant name equals [string]
- Contains match: merchant name contains [string]
- Amount-based: if amount > [X], category = [Y]
- Split rules: if merchant = [X], split between [Y] and [Z]

Apply these rules to my imported transactions.
Flag any transactions that don't match a rule for manual review.

2.3 Manual Override & Learning

Prompt

Process uncategorized transactions:

[paste flagged transactions]

For each, suggest:
- Most likely category based on merchant name
- Confidence level (high/medium/low)
- If low confidence, provide 2-3 options for me to choose

After I confirm, add the merchant-to-category mapping to my rules.

Step 2 Output

Fully categorized transaction ledger with learned rules.

Showing 5/11 sections. Full content: https://openclaw.aiondesktop.com/tutorials/26

TikTok Growth Workflow

belva2192 — Wed, 29 Jul 2026 10:18:38 +0000

Build a complete TikTok growth system via OpenClaw Ultra. From trend discovery to script creation to posting schedule to data analysis, manage your entire TikTok content operation from a single chat interface.

Core System Overview

ℹ️ Info

This is a closed-loop TikTok growth workflow. OpenClaw Ultra monitors trends, generates video scripts, creates shooting guides, plans posting schedules, manages engagement, and analyzes performance — so you can grow your TikTok presence systematically.

System Layer	Core Function	Final Output
Trend Discovery Layer	Trending audio, hashtag, and topic monitoring	Daily trend report with opportunities
Script Creation Layer	Video script writing, hook generation, CTA optimization	Ready-to-shoot video scripts
Shooting Guide Layer	Shot list, visual direction, timing breakdown	Production-ready shooting plan
Publishing Layer	Posting schedule, hashtag selection, caption optimization	Publication-ready video metadata (manual upload via TikTok app)
Engagement Layer	Comment response, duet/stitch strategy, community interaction	Consistent engagement activity
Analytics Layer	Performance tracking, audience growth, content analysis	Weekly growth report
Iteration Layer	Top content analysis, format testing, strategy refinement	Data-driven content strategy

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
TikTok Account	Active account with defined niche
Content Niche	Clear topic focus (e.g., tech tips, cooking, fitness, business)
Posting Frequency	Target videos per week (recommended: 5-7 for growth)
TikTok Analytics Platform	Exolyt account with API access (for trend monitoring and performance data) — or Pentos as alternative

Step 0 — Initialize Your TikTok Growth System

Set up OpenClaw Ultra as your dedicated TikTok content strategist.

Operation Steps

Open OpenClaw Ultra new chat session
Paste the initialization prompt
Fill in your niche and growth goals

Ready-to-Use Prompt

Act as my TikTok growth strategist.

My profile:
- Niche: [your niche — e.g., tech reviews, cooking hacks, fitness]
- Target audience: [who you want to reach]
- Content style: [educational / entertaining / storytelling / tutorial]
- Account goal: [followers / engagement / brand deals / traffic]

My posting schedule: [X videos per week]
Video length preference: [15s / 30s / 60s / mix]

Build a complete TikTok growth system covering:
- daily trend monitoring
- script generation
- shooting guides
- posting schedule
- engagement rules
- performance tracking

Step 1 — Monitor Trends & Opportunities

Stay ahead of what's working on TikTok right now.

1.1 Daily Trend Scan

ℹ️ Info

Trend data must come from Exolyt API (or Pentos). OpenClaw cannot access TikTok directly. Paste the API response data into the prompt below.

First, fetch trend data via the Exolyt API:

curl -H "Authorization: Bearer ${EXOLYT_API_KEY}" \
  "https://api.exolyt.com/v1/trends?country=US&limit=20"

Then use this prompt to analyze the data:

Prompt

Analyze the following TikTok trend data and identify opportunities 
for my niche: [niche]

[paste API response here]

Analyze:
- Trending sounds with usage count and growth velocity
- Trending hashtags relevant to my niche
- Viral video formats gaining traction
- Trending topics/challenges I can participate in

For each trend, assess:
- Relevance to my niche (high/medium/low)
- Difficulty to execute (easy/medium/hard)
- Potential reach (based on current momentum)

Output: prioritized list of 5 trends I should act on today.

1.2 Competitor Monitoring

Prompt

Analyze these TikTok accounts in my niche:
[list 3-5 competitor/inspiration accounts]

For each account, track:
- Recent viral videos (top 3 by views)
- Content formats they're using
- Hook styles that work
- Posting frequency and timing
- Engagement patterns

Identify content gaps I can fill that they're missing.

Step 1 Output

Daily trend report with actionable content opportunities.

Step 2 — Generate Video Scripts

Create scroll-stopping scripts optimized for TikTok's format.

2.1 Single Video Script

Prompt

Write a TikTok video script about: [topic]

Requirements:
- Hook in first 1-3 seconds (critical for retention)
- Total length: [15s / 30s / 60s]
- Format: [talking head / voiceover / text overlay / skit]
- Include: visual direction, text overlays, timing marks

Script structure:
[0-3s] HOOK: [attention-grabbing opener]
[3-Xs] CONTENT: [main value/story]
[X-end] CTA: [follow / comment / share / save]

Also suggest:
- 3 trending sounds that fit
- 5 relevant hashtags
- Caption text

2.2 Batch Script Generation

Prompt

Generate [X] TikTok video scripts for this week's content plan.

Topics from my content calendar:
1. [topic 1]
2. [topic 2]
3. [topic 3]
...

For each script, provide:
- Full script with timing marks
- Hook variation options
- Visual direction notes
- Sound suggestion
- Hashtags and caption

Output in a table format for easy reference.

2.3 Hook Library

Prompt

Create a library of TikTok hooks for my niche: [niche]

Hook types:
1. Question hooks ("Did you know...")
2. Contrarian hooks ("Stop doing X...")
3. Story hooks ("This changed everything...")
4. List hooks ("3 things that...")
5. Challenge hooks ("Try this and thank me later")
6. Curiosity hooks ("Wait for it...")

Generate 5 hooks for each type, customized to my content pillars.

Step 2 Output

Ready-to-shoot video scripts with hooks, timing, and metadata.

Showing 5/12 sections. Full content: https://openclaw.aiondesktop.com/tutorials/23

Reddit Research Workflow

belva2192 — Tue, 28 Jul 2026 09:09:42 +0000

Turn Reddit into a structured market research engine — mine subreddits for pain points, trending topics, and competitor intelligence, all automated via OpenClaw Ultra.

Core System Overview

This is a closed-loop Reddit research system that converts raw Reddit discussions into actionable insights. From subreddit monitoring to sentiment analysis to report generation, everything runs autonomously.

System Layer	Core Function	Output Result
Intelligence Layer	Subreddit discovery, keyword tracking, trend identification	High-signal subreddit & topic list
Mining Layer	Post & comment scraping, sorting by relevance/virality	Structured raw data with metadata
Analysis Layer	Pain point extraction, sentiment analysis, topic clustering	Thematic insight clusters
Competitor Layer	Brand mentions, product discussions, sentiment breakdown	Competitive landscape report
Content Layer	Question-answer pairs, popular thread summaries	Ready-to-use content briefs
Reporting Layer	Daily/weekly digest, trend alerts, export to knowledge base	Scheduled deliverables

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed and running
Reddit Readonly Skill	reddit-readonly — no auth needed
Knowledge Base Skill (Optional)	knowledge-base for saving research output

Step 0 — Initialize Research System

Set up OpenClaw Ultra as your dedicated Reddit research analyst.

Operation Steps

Open OpenClaw Ultra new chat session
Install the reddit-readonly skill
Paste the initialization prompt

Ready-to-Use Prompt

Act as my dedicated Reddit research analyst.

I want to monitor and research: [your niche/industry/topic]

Build a Reddit research system that:
- finds the most active subreddits in my niche
- tracks trending discussions daily
- extracts user pain points and questions
- identifies competitor mentions
- delivers structured reports on schedule

Step 1 — Discover High-Signal Subreddits

Find the most active and relevant subreddits for your niche.

Prompt

Search Reddit for the most active subreddits related to: [niche]

For each subreddit, analyze:
- subscriber count & weekly post volume
- content quality (discussion vs memes vs spam)
- audience demographics (casual vs professional)
- recurring topic patterns

Rank them by research value and recommend the top 5 to monitor.

INFO
Output: Curated subreddit watchlist ranked by signal-to-noise ratio for your niche.

Step 2 — Configure Daily Topic Mining

Automatically pull trending posts and comments from your watchlist.

Prompt

Set up daily monitoring for these subreddits:
[list from Step 1]

Every day at [time], scan each subreddit for:
- top 10 hot posts with engagement metrics
- top 5 rising posts with growth potential
- top 20 most engaged comments per post

For each post, capture:
- title, URL, upvote ratio, comment count
- top 5 comments with sentiment
- any pain points or questions asked

Store results in my research memory.
Operation Prompt (One-Time)

Run an immediate scan of these subreddits: [list]
Output a full report of today's trending content.

Step 3 — Extract Pain Points & Opportunities

Transform raw Reddit data into structured market insights.

Showing 5/11 sections. Full content: https://openclaw.aiondesktop.com/tutorials/16

OpenClaw SEO Content Workflow

belva2192 — Mon, 27 Jul 2026 10:19:16 +0000

SEO Content Workflow

This guide helps you build a fully automated on-page SEO content system via OpenClaw Ultra. Deploy 3 dedicated independent AI Agents to finish keyword research, site data analysis, on-page content planning and WordPress auto publishing automatically, so you can grow organic traffic with minimal manual work.

Core System Overview

ℹ️ Info

This is a closed-loop unattended SEO workflow. Three dedicated AI Agents run tasks automatically in the background via cron jobs. OpenClaw will send complete SEO progress reports every single Monday.

System Layer	Core Function	Final Output
Keyword Intelligence Layer	Seed keyword mining, search volume check, user intent classification	High-value sorted keyword inventory
Site Data Analysis Layer	Google Search Console data crawling & weekly performance audit	High-leverage content optimization opportunities
Content Planning Layer	Competitor gap analysis, standard on-page SEO outline drafting	Complete SEO content brief document
Content Generation Layer	Intent-aligned long-form article writing	Fully optimized original article
On-Page Optimization Layer	Meta tag, heading structure, image alt text & internal link layout	100% standard on-page SEO finished content
Auto Publishing Layer	One-click push finished content to WordPress site	Officially published SEO blog page
Weekly Iteration Layer	Data summary, content effect review, next-stage priority arrangement	Weekly SEO operation report & task list

Prerequisites

Item	Specific Requirement
OpenClaw Ultra	Successfully installed, self-hosted or local deployment available
Keywords Everywhere API	Valid API key for search volume & difficulty query
Google Search Console	Complete site data access permission
WordPress Website	See WordPress REST API Integration
Scheduled Task Environment	Support cron job to trigger automatic workflow

Step 0 — Initialize Three Core SEO AI Agents

Complete environment configuration and agent activation before running automated SEO tasks.
You only need to install 3 official matching skills to enable the three independent agents.

Agent & Official Skill Correspondence

AI Agent Name	Matching OpenClaw Skill	Skill Access URL
🔍 Keyword Research Agent	keyword-research	https://clawhub.ai/skills/keyword-research
📊 Google Search Console Agent	google-search-console	https://clawhub.ai/skills/google-search-console
📝 Content Brief Agent	content-brief-generator	https://clawhub.ai/skills/content-brief-generator

Operation Steps

Create a new conversation session inside OpenClaw Ultra
Install the three official SEO skills above
Fill in all API credentials and site basic information

Ready-to-Use Initial Prompt

Act as my exclusive full-stack SEO operation system.
Enable three built-in independent AI Agents: Keyword Research Agent, GSC Analysis Agent and Content Brief Agent inside OpenClaw to take charge of all my daily SEO work automatically.
Configure weekly scheduled tasks, collect all SEO data and sorted content opportunities, then integrate into complete reports and deliver regularly.

Install SEO Dedicated Skills Prompt

Install skills: keyword-research, google-search-console, content-brief-generator

Step 1 — Enable Keyword Research Agent

Automatically expand seed keywords and obtain official search volume data to screen traffic-worthy target words.

Core Working Logic

Connect with Keywords Everywhere API, batch verify keyword difficulty, search intention and monthly search volume, eliminate invalid words and retain high conversion potential keywords.

Operation Prompt

Use Keywords Everywhere API to analyze my batch seed keywords:
[Paste your seed keyword list]

Classify by search intent, mark search volume and competition level, filter out high-potential target keywords suitable for my niche site.

ℹ️ Info

Output Result: Standard keyword table with dimension labels, directly used for subsequent content arrangement.

Step 2 — Enable Google Search Console Agent

Import real site operation data, dig out existing page ranking room and untapped content gaps.

Core Working Logic

Abandon generic industry SEO suggestions, fully base on your own website exposure, click volume, ranking fluctuation data, lock pages ranked between 8-20 for priority optimization.

Operation Prompt

Connect my Google Search Console account data, finish weekly site SEO health inspection.
Screen content that can quickly improve ranking, sort all optimization directions by priority, and mark feasible new content themes.

⚠️ Warning

This agent is the core of efficient SEO, all optimization suggestions are completely based on your real site data.

Showing 5/13 sections. Full content: https://openclaw.aiondesktop.com/tutorials/15

YouTube Workflow Full Guide

belva2192 — Fri, 24 Jul 2026 08:44:49 +0000

YouTube Workflow Full Guide

This guide turns YouTube into a repeatable AI-driven content system using OpenClaw Ultra. Every step includes actionable operations and ready-to-use prompts for OpenClaw Ultra.

Core System Overview

ℹ️ Info

This is a closed-loop YouTube content operation system. All video creation, optimization, growth and iteration can be fully automated via OpenClaw Ultra.

System Layer	Core Function	Output Result
Intelligence Layer	Mine niche trends & competitor analysis	Validated high-potential video ideas
Production Layer	Script writing & retention optimization	Ready-to-record complete script
CTR Layer	Title + Thumbnail concept design	High-click title & thumbnail solutions
Publishing Layer	Recording guidance & editing process	Standard video production checklist
SEO Layer	Upload package & keyword optimization	Complete release copy + tags + description
Growth Layer	Comment operation & community building	Audience retention & loyal fan base
Iteration Layer	Data analysis & content upgrade	Optimized next video ideas

Prerequisites

Item	Requirement
OpenClaw Ultra	Installed, configured and normal operation
Clear Niche Positioning	Confirm your YouTube vertical niche
Basic Video Resources	Recording equipment & simple editing tools

Step 0 — Initialize Your Content System

Complete system positioning before starting content creation, let OpenClaw Ultra lock your channel positioning.

Operation Steps

Open OpenClaw Ultra new chat session
Paste the initialization prompt and replace your niche

Ready-to-Use Prompt

Act as my YouTube content operating system.

My niche is: [your niche]

Help me build a scalable YouTube content system with:
- content ideas
- scripts
- titles
- thumbnails
- publishing plan
- growth loop

Step 1 — Find Winning Video Ideas (Intelligence Layer)

Mine niche hot topics, analyze competitors and disassemble popular videos to screen verified high-demand ideas.

1.1 Trend Discovery

Prompt

Find trending YouTube video ideas in my niche: [niche]

Return:
- top 10 trending topics
- why they work
- content patterns behind them

1.2 Competitor Analysis

Prompt

Analyze top YouTube creators in this niche: [niche]

Break down:
- their content structure
- recurring video formats
- most successful video types
- posting strategy patterns

1.3 Viral Video Transcript Breakdown

Prompt

Take this YouTube video transcript or URL:
[insert link]

Extract:
- hook strategy
- structure
- key insights
- reusable video ideas

ℹ️ Info

Output after Step 1: 10–20 validated video ideas, sorted by traffic potential and viral attribute.

Step 2 — Select ONE Best Video Idea

⚠️ Warning

Do not create multiple videos at one time. Only select one optimal idea for single video full-link production.

Ready-to-Use Prompt

From these video ideas:

[list ideas]

Choose the best one based on:
- audience demand
- clarity
- viral potential
- uniqueness

Explain why it is the best choice.

Learn more about Google Workspace by clicking:https://openclaw.aiondesktop.com/tutorials/12