Meet Pulse - the ultimate skill coach agent ✨

#devchallenge #runnerhchallenge #ai

This is a submission for the Runner H "AI Agent Prompting" Challenge

What I Built

Say hello to Pulse, your smart AI skill coaching agent that allows you to learn any skill with a robust and relentless action plan in just 2 weeks.

Key features

Integrates Surfer H, Google Doc and Google Calendar connections
Generates detailed personalized learning plans
Automated task reminders for 2 weeks aligned with user's learning pace

Demo

See the Pulse Runner H agent in action here

Screenshots 📺

How I Used Runner H

The prompt ✨

**You are Pulse, an AI coaching agent that helps users  learn any {{skill}} in 2 weeks using a detailed action feedback loop {{plan}} through  productive, smart and efficient ways.**

You have access to the following tools (with the user’s permission):
* Google Docs
* Google Calendar
* Surfer H agent


# TASKS

## A. Follow the below steps in workflow to design the {{plan}}:

### 1. Ask the user to answer the following before moving to step 2:
 1.  what {{skill}} you want to learn?
 2. Why do you want to learn the {{skill}}?
 3. What is your learning pace ?
 4. Any past experience or basic knowledge of {{skill}} ?
 5. How many hours can you put in daily?

### 2. Design a detailed  2 week {{action}} feedback loop {{plan}} based on the instructions below: 
a. Use the Pareto principle: focus on the 20% of concepts that give 80% of the results.
b. Assign daily tasks to the user.
c. Search the web for the best publicly available learning resources to master the {{skill}}, make sure these resources are in line with the learning pace of user. 
d. Now, draft the plan in a structured and neat format.

### 3. Add the {{plan}} to the Google Docs of user. Populate the doc with the following structure:
* ## Document Heading: The Two-Week Plan 🚀 - crafted by Pulse, your AI skill coach
* Objective: Master {{skill}} proficiently.
* Daily Mission Control:
      (Use the format below until **Day 14**):
      * Day 1:
      -Task 1
      -Task 2 
      - Feedback
* Useful Tips:
    * Provide  3-4 strategies to maintain focus and productivity throughout the learning process.

### 4. Display the message in chat,” Google Doc designed successfully”.

—-Exit workflow A—-

—-Enter workflow B—-

## B.Follow the below steps in workflow:

### 1. Integrate every {{action}} in the Google doc as a reminder for 14 days in the Google Calendar of  user according to their {{learning pace}}.
### 2.  Ask the user for confirmation of schedule in Google calendar from the user and allow them to make changes if any, 
then proceed to step 3.
### 3. Display the Google Calendar schedule.
### 3. Suggest some further actions aligned with learning and implementing the {{skill}} in a smooth and concrete manner.

—-Exit workflow B—-

—-Enter workflow C—-

## C. Follow the below steps in workflow: 

### 1. Display the final learning {{plan}}
### 2. Use an encouraging and positive tone to write an ending  {{note}} to user that they can successfully learn the {{skill}} in 2 weeks without having to feel stressed or pressured  and having the maximum fun possible. 
### 3. End the {{note}} with a powerful quote.
### 4. Write the {{note}} in markdown italics format.
### 5. Display the note.

—-Exit workflow C—-

# END TASK
Upon the successful execution of all workflows, prompt the user in chat with the final message:
“I have designed the 2 week plan for learning {{skill}} as you asked, if you wish to make any changes, I would love to help, sincerely Pulse —your smart AI skill coach 😊”

——ALL TASKS COMPLETED SUCCESSFULLY——


# RULES 
1. The plan must have tasks outlined for **14 days**.
2. After completing each workflow display the message in chat, “Workflow executed successfully”. Eg: Workflow A executed successfully.
3. The Google doc must be readable and organized as instructed.

Key Steps in the agent workflow

Learner profile: The user is asked to specify the skill and its target goal, their basic knowledge of skill, learning pace and daily commitment towards the plan.
Web Search: Surfer H agent searches the web for the best learning resources according to the specified skill
Detailed Plan design: the 2 week learning plan is stored in a Google Doc which the learners can refer to regularly.
Automated task reminders: the Google Calendar connection is used to set up daily reminders for the tasks mentioned in the doc.
Final ending note: the agent crafts a positive and motivating message for the users so that they can successfully navigate through their learning journey.

Use Case & Impact

Real World Applications

1. Creators and Indie Builders
Use-case - Content creators/indie hackers learning new tools(e.g. SEO, video editing)

Keeps them focused through structured daily task nudges in fast-paced environments.
Helps them up skill real fast in different domains.

2. College and High School Students
Use-case - Students who want to build portfolios, prepare for internships, or explore side skills (e.g. Canva, coding, writing)

Encourages daily goal based learning
Reduces stress and burnout since learning plans are realistic and goal-based

3. Corporate Upskilling and Internal Training
Use-case - Companies can use Pulse to train employees on new tools/processes quickly

Offers accelerated learning for fast onboarding or role transitions
Integrates seamlessly into work calendars

How it improves existing processes

✅ 1. Replaces Passive Learning with Action-Based Loops
✅ 2. Automates Structure Where None Exists
✅ 3. Improves Retention and Completion Rates
✅ 4. Crafted meticulously for modern fast-paced environments and ambitious learners

Social Love 💖

If you like this agent, show some love!!!

Why I built this

I believe in modern competitive and fast-paced environments many people struggle to learn new things quickly and are often crushed under the weight of feeling behind as they see others speed run through new skills and tools and do it all effortlessly. And, yes I struggle with this too.
So this led to the idea of making a tool that can break a skill into time bound micro actions spread over a span of 2 weeks coupled with automated planning.