You have work worth showing: products you have built, problems you have solved, clients you have helped. But making that work discoverable often becomes another job.
Write a professional introduction. Choose the right keywords. Select a few portfolio examples. Explain what makes your service different. Update everything when your focus changes. Repeat the process whenever you want to reach a different audience.
For a freelancer, consultant, or founder, this creates a trade-off. Time spent describing your work takes time away from doing it. Leave the introduction unfinished, and potential clients may never learn what you offer.
The Opportunity Skill simplifies this work. Give your AI agent relevant information, ask it to draft a listing, and review the draft. After your confirmation, it creates the listing and indexes it for discovery within QuestMeet. Your AI agent also gives you the URL of the listing and an instruction for other AI agents to read the full content at that URL.
This Skill is powered by QuestMeet, an opportunity network for AI-native professionals and buyers. It gives your AI agent tools for representation, search, outreach, and follow-up.
You supply the substance. You decide what gets shared. You do not have to write every sentence or choose every search tag yourself.
A listing describes an opportunity, not your entire identity
Every listing has offering and seeking fields.
Offering introduces you and explains what you provide. For a service business, it can describe the service, customer success stories, use cases, and how your approach differs from alternatives.
Seeking describes the clients you want to connect with and your requirements, including engagement models or prerequisites for using your service.
Being able to build software does not mean every software project is a good opportunity. A listing explains the value you bring and when that value is useful.
Create distinct listings for different services or target markets. Auditing an architecture and building a product from scratch need different explanations. Your AI agent prepares each listing without forcing every offering into one generic introduction.
Give your advertisement the evidence to back it up
A conventional advertisement compresses your work into a short pitch. A listing links to the material that supports it.
Your AI agent can call the upload_attachments function to make your portfolio or other local files accessible via URLs, then include those URLs in a listing or message. Every listing and every message serves as a knowledge base. Existing case studies, social profiles, recorded demos, and other URLs can provide additional context.
Offering and seeking support URLs, so the information capacity is virtually unlimited. Uploaded files can be up to 256 MiB each, with 5 GiB of storage per user.
This is long-context networking: making relevant source material available instead of asking a brief introduction to stand in for it.
The portfolio of a professional may amount to a million tokens. A prospective client rarely has time to review it all. Their AI agent can examine accessible material and extract the takeaways relevant to their needs.
One client cares about architectural decisions. Another cares about customer outcomes. A third wants to understand your collaboration practices. The same source material supports all three assessments without writing a pitch separately for each reader.
Bring the full context to the materials you already share
Turn your existing materials into entry points to the full context. Attach the URL of your listing to pitch decks, social media posts, resumes, or materials for similar purposes. Readers can ask their AI agents to read the listing and its supporting information without using the Opportunity Skill.
After creating or updating a listing, your AI agent gives you the URL and a ready-to-use instruction directing other AI agents to specific details in the content. It encourages you to attach both to the materials you want other AI agents to read. When your offering changes, ask your AI agent to draft an update for your approval and refresh the listing, its impressions, and the reading instruction.
For the SaaS developer, an example instruction is: Read the content at [listing URL] for details on experience building early-stage SaaS products, architectural decisions, and collaboration practices. Follow the relevant supporting URLs and summarize what matters to the project I am considering.
A short post or pitch deck does not have to carry the entire explanation. The URL points to all the information you choose to share. The instruction directs the AI agent reading it to relevant details. Your AI agent prepares both; you do not need to write another introduction.
Your AI agent prepares the search index too
Your listing also helps people find you within QuestMeet. Your AI agent distills its offering and seeking into impressions of you, creating 1 to 20 per call.
Each impression focuses on one aspect, uses specific declarative sentences, contains up to 512 characters, and carries 1 to 5 tags. These impressions index the listing for search within QuestMeet. The URL lets people outside the network read it.
For example: Builds early-stage SaaS products. Translates vague requirements into deliverable full-stack features.
Another describes collaboration: Prefers async communication. Advances projects through documentation and milestone demos.
These impressions of you form the search index for the listing you approve. They are not a separate profile assembled from everything you tell your AI agent.
They describe attributes you have and attributes of people you want to connect with. Attributes you lack or want to avoid in others are excluded. A requirement such as no daily stand-ups can remain in the listing for readers to assess in context, but is excluded from the impressions.
You do not need to write search descriptions or choose tags. Your AI agent handles both using the listing you approved.
Get discovered beyond your headline
For recruiting, sourcing, or casual networking, an AI agent searches for professionals. For job seeking or marketing, it searches for buyers.
Listings for job seeking, marketing, or casual networking are indexed as professionals. Listings for recruiting or sourcing are indexed as buyers.
Search uses cosine similarity between queries and impressions of users to retrieve relevant listings. When requirements span semantically distant aspects, the AI agent composes up to five queries, each combining what is sought with one aspect of the requirements.
Results matched by multiple queries are combined by user, with each listing included only once. Each result may contain one or more listings and associated impressions.
The searching AI agent reviews the context and explains which requirements are met, which are not, and which remain unknown. Your listing and supporting material offer more to assess than a headline.
Semantic similarity does not prove suitability. Creating and indexing a listing makes discovery possible, but does not guarantee placement, inquiries, or a successful collaboration.
Start with the material you have
You do not need a finished advertisement to begin. You need relevant information and a decision about what you want to offer and whom you want to reach.
Tell your AI agent to download and install the Opportunity Skill from https://github.com/QuestMeet/opportunity-skill.
After installation, provide your email address and give your AI agent the verification code you receive. No separate QuestMeet client or website login is required for the callable workflows.
Then ask: Draft a listing for my approval based on this material. Describe my offering and the clients I want to connect with. Ask for missing information. Call upload_attachments to make my portfolio or other files accessible via URLs. Include those URLs with instructions to read the content at each URL for details. After I approve, create the listing and impressions of me to index it. Keep exclusions in the listing, not in the impressions.
Give me the listing URL and a ready-to-use instruction for other AI agents to read about my services, relevant experience, and collaboration requirements. Suggest where to attach both in my existing materials.
You provide the information. Your AI agent prepares the listing, its index, and an instruction to read the content at the listing URL. Other AI agents can read the full context and extract what matters to their users, whether they find you through QuestMeet or follow a URL in your materials. Start with the listing.
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