📊 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 for AI skills has been established and community directories exist, no dedicated marketplace or monetization platform has emerged. This gap represents a significant opportunity for companies to capture future value.
Despite the existence of an open standard for AI skills and multiple community directories, no marketplace or platform has yet been built to facilitate discovery, monetization, or cross-surface portability of these skills, representing a significant gap in AI infrastructure.
In May 2026, over 140 free AI skills are available via community directories like SkillsMP and GitHub, and a formal open standard at agentskills.io has been adopted by major AI providers such as Anthropic and OpenAI. These skills are small configuration artifacts, stored as YAML frontmatter, which can be loaded into various AI models and runtimes. However, there is no dedicated marketplace akin to an app store, no revenue-sharing mechanism, and no vetting or security pipeline beyond source trust. Skills are currently discovered through community channels, with no monetization or cross-surface compatibility—skills uploaded to Claude are not available via OpenAI’s API, and vice versa. The ecosystem is in an early stage, with the standard established but the marketplace layer missing. This creates a critical opportunity for companies to develop a platform that enables discovery, vetting, security, and monetization of AI skills, which could become a foundational layer of AI infrastructure in the coming 9 to 18 months.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 2025
Winning Without Persuading: A New Framework for Leading with Curiosity and Story Discovery
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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
Supply Chain Software Security: AI, IoT, and Application Security
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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?”
The Future of Video Platforms: AI, Streaming, and the Next Digital Revolution (Smarter Content Creation & Monetization)
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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.
Why Building a Skills Marketplace Matters Now
The absence of a dedicated skills marketplace leaves a significant gap in the AI ecosystem, limiting discovery, security, and monetization of AI skills. Companies that build this layer could capture a defensible position, similar to how app stores transformed mobile ecosystems. As AI models become interchangeable, the ability to package and deploy organizational knowledge and customer-specific judgment as portable skills will be critical for competitive advantage. The current ecosystem favors community discovery but lacks a monetization or vetting process, which is necessary for scaling trust and enterprise adoption. This gap also means that the value is currently concentrated in model providers and community directories, not in a standardized marketplace platform that could enable broader adoption and monetization, especially for enterprise use cases.
The Evolution of AI Skills and Ecosystem Gaps
The concept of AI skills as portable, reusable artifacts emerged in late 2025, with the publication of the open standard at agentskills.io. Major AI providers like Anthropic, OpenAI, Microsoft, Google, and Vercel have published skill collections and integrated the format into their tools. Community directories such as SkillsMP, ClaudeWorld, and GitHub host over 140 open-source skills, all free and discovery-focused. Despite this progress, no marketplace or platform exists to facilitate monetization, vetting, or cross-surface portability. The ecosystem currently relies on community discovery, with no formal security or compliance pipeline, and skills are not exchangeable across different AI models or providers. The standard’s adoption has created a foundation, but the missing marketplace layer is a critical gap that could define the next phase of AI infrastructure development.
“The skills ecosystem in AI has a formal open standard and reference implementations, but no dedicated marketplace or platform has yet been built to facilitate discovery, monetization, or cross-surface portability.”
— Thorsten Meyer
Unclear Next Steps for Marketplace Development
It is not yet clear when a comprehensive skills marketplace will emerge or who will lead its development. Major AI providers have yet to coordinate on a unified platform, and the commercial incentives for building such a marketplace are still evolving. Additionally, questions remain about security standards, vetting processes, and monetization models that will be adopted at scale. The timeframe for this development is estimated to be within 9 to 18 months, but specific industry commitments or standards are still pending.
Future Development and Industry Moves in Skills Ecosystem
Next steps include the potential emergence of dedicated platforms by major AI providers or third-party ecosystem builders, focusing on discovery, security, and monetization features. Standardization efforts are likely to mature, enabling broader adoption. Industry collaborations or consortia could accelerate the creation of a marketplace layer, and enterprise-specific solutions may start pilot programs within the next year. Monitoring these developments will be key to understanding who captures the future dominant platform.
Key Questions
Why is there no marketplace for AI skills yet?
While a standard and community directories exist, the ecosystem has not yet developed a dedicated platform for discovery, vetting, security, or monetization, partly due to the early stage of standard adoption and lack of commercial incentives.
What are the main barriers to building a skills marketplace?
Key barriers include establishing security and vetting pipelines, creating monetization models, enabling cross-surface portability, and aligning industry standards for trust and compliance.
Who could lead the development of such a marketplace?
Potential leaders include major AI providers like Anthropic, OpenAI, or third-party ecosystem builders who can develop a platform with discovery, security, and monetization features.
How soon could a skills marketplace impact AI deployment?
If development accelerates, a marketplace could emerge within 9 to 18 months, fundamentally changing how organizations package and monetize AI capabilities.
What does this mean for enterprise AI adoption?
A dedicated marketplace could simplify the deployment of organizational knowledge, improve security and compliance, and open new revenue streams, making enterprise adoption more scalable and trustworthy.
Source: ThorstenMeyerAI.com
