Lesson 3: Distribution and Discovery
Course: Monetizing AI Skills
Estimated time: 20 minutes
Difficulty: Advanced Builder
Building the skill is the easy part. Getting people to find it is the actual work.
This isn't unique to skills. It's true of every product. The builder who ships a great product that nobody sees loses to the builder who ships a good product that everyone finds. Distribution isn't an afterthought you do after the skill is ready. It's a design decision you make before you write the first line of SKILL.md.
The good news: skills distribution has some structural advantages over SaaS distribution. A great skill is inherently shareable, linkable, and searchable in ways that a SaaS product dashboard isn't. People can see the value without buying it. That makes free-to-paid conversion more natural here than almost anywhere else.
Where to Publish
Each platform has a different audience with different intent. Publish on the one that matches who you're trying to reach, not on all of them at once.
GitHub. The widest reach for technical audiences. Builders searching for solutions to specific problems find things on GitHub first. A skill on GitHub with a strong README, good commit history, and some stars shows up in search results for the problem it solves.
The GitHub strategy is the free-skills-as-marketing play. You publish a polished, genuinely useful free skill. People find it, use it, star it, and share it. Some percentage of them want more - the premium version, the full bundle, the course, or your consulting time. GitHub is top of funnel, not revenue.
To get traction on GitHub: the README matters more than the skill itself for discovery. Write a README that describes the problem this skill solves in plain language, shows a clear before/after example, and links to a paid or premium version. Put a screenshot of example output in the README. Screenshots dramatically increase clicks.
ClawHub. The native marketplace for OpenClaw skills. Smaller audience than GitHub, but more qualified: people browsing ClawHub are actively looking for skills to add to their agents. They're buyers, not just readers.
ClawHub works well for skills that integrate tightly with the OpenClaw platform, or for builders who already have an OpenClaw audience. If you don't have that audience, start with GitHub and let ClawHub be a secondary distribution point.
skillsmp.com. A dedicated skill marketplace for the broader agent market. Still early and relatively small, but growing. The advantage of being on a dedicated marketplace is that the entire audience is looking to buy something. The disadvantage is the smaller audience size.
List on skillsmp if you have a premium skill or a bundle you're pricing above $20. The intent there is higher than on GitHub, which means less browsing and more buying.
Your own site. For premium products - $49+ skills, bundles, subscriptions - selling from your own site keeps more margin and lets you control the relationship. The trade-off is that your site has less discovery than GitHub or a marketplace. You need to drive traffic to it yourself.
Own-site sales make sense when: you have an existing audience (newsletter, X/Twitter following, YouTube channel), you're selling bundles or subscriptions rather than individual skills, or the buyer needs some education before purchasing (your site can do that job better than a marketplace listing can).
The default recommendation for a first skill:
- Publish the free version on GitHub with a strong README
- List the premium version on skillsmp.com or ClawHub
- Link from the GitHub README to the premium version
- Write about it publicly (X, newsletter, relevant communities)
That covers discovery, intent matching, and conversion in one coherent strategy.
Free Skills as Marketing
The counterintuitive thing about free skills: publishing something genuinely valuable for free often generates more revenue than charging for everything.
Here's the mechanism. Someone finds your free skill, uses it, and gets real value from it. They now trust you. They know your quality level. When you publish a premium skill or a bundle, they're not evaluating whether to trust an unknown seller - they've already seen your work. That trust converts at dramatically higher rates than cold discovery.
The pattern that works:
- Free skill solves a real problem (not a toy example)
- Free skill is obviously the work of someone who actually knows this domain
- Free skill links to a premium version that solves the adjacent harder problem, or a bundle of related skills
- Free skill includes your newsletter signup or a link to follow you somewhere
What makes a free skill work as a marketing asset:
Solve a real problem, completely. A free skill that's intentionally hobbled ("only works for 3 inputs" or "misses the most important steps") doesn't build trust. It frustrates people. The free skill should fully solve a real problem. It just shouldn't be the hardest or most valuable problem in the domain.
Show the quality bar. The instructions, examples, and formatting of your free skill are your resume. If they're sloppy, your premium skills look sloppy before anyone buys them. If they're excellent, buyers assume your premium skills are at least as good.
Create a natural upgrade path. The free skill should solve problem A. The premium skill or bundle should solve the adjacent problem B that people discover after solving A. The free skill is the top of a funnel, and the bottom of the funnel should be obvious from inside the free skill.
SEO for Skills: How People Find Them
Skills get found through search in two ways: searching on the specific platform (GitHub search, skillsmp search) and organic web search.
For platform search (GitHub especially), the signal is keywords in your README and repository name, plus stars and forks. The way to improve your visibility:
Use the exact terms people would search for in your README. Not "communication improvement" but "cold email." Not "text transformation workflow" but "editing and proofreading." The person searching is naming the task, not the solution category.
Stars matter for ranking. Getting early stars means asking: post in relevant communities, share with people you know in the space, mention it in your newsletter. Don't buy stars. Get real ones from people who actually use it.
For organic web search, your GitHub README or your skill's landing page needs to:
- Include the problem the skill solves in the title and first paragraph
- Include specific use cases (not just "improve your workflow" but "write cold emails for B2B SaaS sales")
- Include the name of any tool or platform the skill works with ("OpenClaw," "Claude," "ChatGPT")
The searcher who finds your skill via Google is usually searching for something like "AI agent skill for [specific task]" or "[specific problem] + AI + agent." Your README should include those phrases naturally, not stuffed.
The content marketing supplement. If you write about building the skill - the decisions you made, the problems you solved, the testing process - that content drives discovery. A post on X: "I packaged my 5-year cold email process into an agent skill. Here's what made it hard and how I solved it [link]" gets clicks and shares from people in the audience who care about both AI and sales. That's your buyer. The post is the discovery mechanism.
Publishing Your First Free Skill to GitHub
This is the exercise for this lesson, but first the mechanics.
Your GitHub repo structure:
your-skill-name/
├── SKILL.md (the front door - required)
├── instructions.md (the expertise - required)
├── README.md (for GitHub discovery - required)
├── tools/
│ └── your-tool.py (any tools the skill uses - if needed)
├── resources/
│ └── template.md (reference material - if needed)
└── examples/
├── example-01.md
├── example-02.md
└── example-03.md
The README.md is different from SKILL.md. SKILL.md is for agents. README.md is for humans browsing GitHub. Your README should:
- State the problem in the first sentence (not "this skill helps with X" but "X takes too long manually and produces inconsistent results")
- Show an example input and the resulting output (copy from your examples directory)
- Explain who this is for and what experience is needed to use it
- Include a quick start section (how to add this skill to an agent in 2 steps)
- Link to any premium versions or related skills
Make the README good. Spend as much time on it as you did on your instructions. The README is what most people will read before deciding whether to try the skill.
Exercise: Publish Your First Free Skill
Take the skill you built in Lesson 2 and publish it.
Step 1: Create the repository.
Create a new GitHub repository. Use a clear, searchable name: cold-email-writer-skill, seo-content-brief-skill, technical-architecture-review-skill. Not my-skill-v1 or agent-stuff.
Step 2: Write the README.
Follow the structure above. First sentence names the problem. Second shows what the skill produces. Quick start tells them how to use it. Examples show quality. Link to any premium version.
Step 3: Add all your files.
SKILL.md, instructions.md, and your examples. If you have tools, add those. If you have resources, add those.
Step 4: Publish and share.
Make the repository public. Then share it in at least two places: your X/Twitter account (if you're building in public), and one relevant community where your target audience hangs out (a Discord server, a subreddit, an Indie Hackers post).
When you share it, don't just drop a link. Write two sentences about what problem it solves and who it's for. "I packaged the cold email process our sales team uses into an agent skill - works with OpenClaw and raw Claude API. It handles prospect research prompts, email structure, and quality checks. Sharing the free version here, would love feedback."
Step 5: Watch the first 48 hours.
Check GitHub insights to see if people are viewing the repository. Check if anyone stars or forks it. Read any comments or issues. That feedback is your product research for v2.
Key Takeaway
Distribution is a design decision, not an afterthought. The best skill in the world that nobody finds makes you no money. Pick your primary platform before you publish, write a README that speaks to searchers, and use free skills as the top of a funnel that leads somewhere.
What's Next
You know how to package and distribute skills. Lesson 4 is the business layer: how to price them, which platforms handle payments without tax headaches, and how to build a content flywheel that compounds into real revenue.