📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
While an open standard and reference implementations for AI skills are in place, a comprehensive marketplace layer remains undeveloped. This gap could define future dominance in AI infrastructure.
As of May 2026, a formal open standard for AI skills exists, but a dedicated marketplace layer for discovery, monetization, and security remains absent.
There are over 140 free, community-hosted AI skills, with official standards published by Anthropic and adoption by OpenAI’s Codex CLI. These skills are portable across models and runtimes, with a standardized format (SKILL.md) that simplifies creation and sharing.
Despite this, there is no dedicated marketplace akin to app stores for AI skills, lacking features such as revenue sharing, vetting, security audits, and cross-surface discoverability. Current discovery relies on community directories, GitHub stars, and word of mouth.
This gap leaves the ecosystem vulnerable to fragmentation, with no centralized platform for organizations or developers to monetize or securely distribute skills, potentially hindering widespread adoption and enterprise deployment.
The skills marketplace.
The directory exists. The marketplace doesn’t. Here’s the gap — and who closes it.
There are 140+ free Agent Skills on community marketplaces today. 17 official Anthropic skills under Apache 2.0. A published open standard at agentskills.io that OpenAI’s Codex CLI adopted. Microsoft, Google, Vercel publishing skill collections. And no skills equivalent of the App Store. No revenue share. No vetted-author verification. No security audit pipeline. No paid skills at all.
Folder. Frontmatter. Instructions.
A skill is a directory containing a SKILL.md file with YAML frontmatter and Markdown instructions, plus optional scripts and templates. Progressive disclosure: the agent loads only metadata into context until the skill becomes relevant. The format is simple. The implication is significant.
AI skills marketplace platform
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The directory exists. The marketplace doesn’t.
Five layers, in roughly the order they emerged. The first five are real and growing. The last five are the capture gaps — each is a real product, each is uncaptured, and any company that solves four of five wins the layer.
agentskills.io · Anthropic + OpenAI · Dec 2025AI skill discovery tools
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The platform owner’s incentives do not align with the developer’s.
Same structural problem that produced the App Store / Play Store / Steam separation in mobile and gaming. The platform owner extracts rent at the marketplace layer; the developer wants to publish once and distribute everywhere. The two only align if a third party owns the marketplace.
Skills as a platform retention feature.
- Cross-surface friction is a soft retention mechanism, not a bug
- Partner directory is curated to drive distribution into their stack
- Revenue share competes with the lab’s own enterprise sales motion
- Verified-publisher status is awkward when the auditor is also the model vendor
- Skills tied to one model = same problem the standard was built to solve
Three fronts the labs cannot credibly compete on.
- Cross-surface neutrality — “publish once, run on any model”
- Verified-publisher status as a paid security service
- 70/30 revenue share creates incentives for vertical specialists
- Trust calculation is cleaner: auditor ≠ model vendor
- Wins by being the only neutral broker between labs and enterprise
AI security audit software
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Smaller than you assumed. Closer than you think.
~20 engineers · $30–50M Series A · founded 2026 H2 / 2027 H1. Reference: Replicate’s positioning in model hosting — neutral, multi-vendor, developer-first. The challenge is distribution.
GitHub (= Microsoft, conflict). Cursor. Replit. Linear. The most legible path is “GitHub Skills” — but Microsoft competes at the model layer, reproducing the original problem.
Harvey in legal · a healthcare-AI company yet to emerge · Bloomberg in finance. Slower path, structurally stronger trust position. Customer never has to ask “is this skill safe?”
AI monetization platform
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The 2026 H2 author looks like the 2007 YouTube creator.
Write the skills now. Capture when the marketplace ships.
The capture mechanism does not yet exist. Skills you write today have no way to charge for themselves. This is a feature, not a bug, for the next 12 months. Write skills, accumulate authorship reputation, build a portfolio that becomes legible the moment a marketplace with revenue share goes live.
The directory exists. The marketplace doesn’t. Whoever builds it captures the most defensible position in the post-model AI stack.
Four assignments. By role.
Start writing skills now.
The marketplace doesn’t exist yet but the reputation system runs on what you publish in 2026. The early-mover advantage when the marketplace ships is real. GitHub stars compound into discoverable authorship.
The window is open. Funding is favorable through Q3.
The standard is set, the demand is forming, the labs won’t build it themselves, and the second-mover penalty in marketplaces is severe. The “App Store of agents” thesis is investable today.
Demand a skill governance roadmap.
If your AI vendor’s answer is “we trust Anthropic to vet skills,” the answer is incomplete. Demand SIEM integration, audit logging, enterprise approval workflows. Current admin controls are a starting line.
The position is winnable in 2026 H2.
Natural fits: GitHub, Cursor, Replit. If you build developer tooling but aren’t one of those, you have 12 months to figure out whether your product becomes a skills publishing channel — or watches the value flow past it.
Implications of the Missing AI Skills Marketplace
The absence of a formal marketplace could slow the commercialization and enterprise integration of AI skills, limiting the ecosystem’s growth and security. Companies that establish a trusted, monetized platform may gain a competitive advantage, shaping the future of AI infrastructure.
Development of AI Skills Standard and Ecosystem Gaps
Since late 2025, an open standard for AI skills has been established, enabling portability and interoperability across platforms. Major players like Anthropic, OpenAI, Microsoft, Google, and Vercel have adopted or announced collections of skills, but the ecosystem remains fragmented without a dedicated marketplace layer.
Current discovery relies on community-curated directories, and no monetization or vetting mechanisms are in place. The standard’s adoption is growing, but the marketplace infrastructure needed for widespread commercial use is still missing, with an estimated window of 9–18 months to develop.
“The marketplace layer for AI skills does not yet exist, and this gap could determine who controls the future AI ecosystem.”
— Thorsten Meyer
Unclear Aspects of Marketplace Development Timeline
It is not yet clear when a comprehensive, secure, and monetized AI skills marketplace will be built, or which company or ecosystem will lead this development. The exact features and standards for such a marketplace remain under discussion.
Next Steps Toward Building the Skills Marketplace
Key industry players are likely to begin formalizing marketplace features within the next 9–18 months, including vetting, security, discovery, and monetization mechanisms. Watch for announcements from major AI platform providers and ecosystem alliances that may establish the dominant infrastructure.
Key Questions
Why is the AI skills marketplace important?
A marketplace would enable discovery, monetization, security, and standardization, accelerating enterprise adoption and ecosystem growth.
Who is likely to build the first comprehensive AI skills marketplace?
Smaller, agile companies or alliances that control the standards and tooling around AI skills may establish the first viable marketplace, gaining strategic advantage.
What are the main challenges in creating this marketplace?
Developing trust, security protocols, vetting processes, and establishing a revenue model are key hurdles to building a secure and scalable marketplace layer.
How does the lack of a marketplace affect AI developers and enterprises?
Without a marketplace, discovery remains community-driven and fragmented, limiting monetization opportunities and raising security concerns for enterprise deployment.
When can we expect a fully operational AI skills marketplace?
Industry estimates suggest a window of approximately 9 to 18 months before a mature, secure, and monetized marketplace begins to emerge.
Source: ThorstenMeyerAI.com
