📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
While open standards and reference implementations for AI skills exist, there is no dedicated marketplace layer for discovery, monetization, or security. This gap presents an opportunity for companies to establish a dominant position in AI infrastructure.
There is currently no dedicated marketplace platform for AI skills, despite the existence of open standards, reference implementations, and community directories. This gap remains a critical missing piece in the AI ecosystem and offers an opportunity for a company to establish dominance in AI infrastructure.
Since December 2025, an open standard for AI skills has been established at agentskills.io, with multiple reference implementations from Anthropic, OpenAI, and other major players. These skills are simple, YAML-based artifacts that can be loaded into various AI models, enabling interoperability and portability across different agent runtimes.
However, despite this standardization, there is no dedicated marketplace that offers discovery, vetting, security, or monetization for these skills. Existing directories like SkillsMP, ClaudeWorld, and GitHub host community-created skills, but they lack formal vetting, security audits, or revenue-sharing mechanisms. The absence of a marketplace layer means that users have limited ways to find, trust, or pay for skills, and developers lack monetization pathways.
Major AI companies such as Anthropic, OpenAI, Microsoft, Google, and Vercel have published skill collections and support for the standard, but none have built a comprehensive marketplace infrastructure. This fragmentation leaves a significant gap in the AI ecosystem, which could be exploited by smaller firms or new entrants.
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.
A.I. Destroyer (The A.I. Series)
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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
The 90-Day Irreplaceability Audit: A Practical Program for Proving Your Value in the Age of AI
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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
The Future of Video Platforms: AI, Streaming, and the Next Digital Revolution (Smarter Content Creation & Monetization)
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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 developer marketplace
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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 a Missing AI Skills Marketplace
The lack of a dedicated skills marketplace hampers discovery, trust, and monetization, limiting the growth and commercialization of AI skills. Building such a platform could create a new revenue stream, establish a standard for security and vetting, and position a company as a key player in AI infrastructure. This gap also affects enterprise adoption, as organizations seek secure, manageable, and scalable ways to deploy skills across their AI tools.
Development of AI Skills Standards and Ecosystem
Since late 2025, the AI community has converged around an open standard for skills, enabling interoperability across models and platforms. Major tech firms have adopted the standard in their tools, but the ecosystem remains fragmented without a formal marketplace. Community directories and open-source repositories serve as discovery layers, but they lack vetting, security, and monetization features. The ecosystem is poised for a platform-level development, but none has yet emerged.
“While the standard exists and reference implementations are available, the missing marketplace layer leaves a significant gap in AI infrastructure.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It remains unclear which company or consortium will successfully develop and dominate the skills marketplace. Key challenges include establishing security and vetting protocols, creating effective discovery and ranking mechanisms, and developing monetization models that incentivize developers. Additionally, questions about cross-surface portability and enterprise compliance standards are still open.
Next Steps for Ecosystem Development
Within the next 9 to 18 months, expect efforts to emerge from smaller firms or industry consortia to build foundational marketplace platforms. Major AI companies may either partner or develop their own solutions. Focus areas will include security auditing, discovery algorithms, and monetization frameworks. Adoption of standards and community engagement will be critical to establishing a robust ecosystem.
Key Questions
Why is there no marketplace for AI skills yet?
While standards and directories exist, a dedicated marketplace layer has not been built due to technical, security, and monetization challenges, along with the lack of a dominant platform or ecosystem leader.
Who stands to benefit most from a skills marketplace?
Companies that develop secure, discoverable, and monetized platforms could capture significant value by becoming the central hub for AI skills, establishing a competitive advantage in AI infrastructure.
What are the main obstacles to creating a skills marketplace?
Major obstacles include establishing security and vetting processes, creating effective discovery and ranking systems, developing monetization models, and ensuring cross-surface portability and enterprise compliance.
When might we see a major skills marketplace emerge?
Industry insiders suggest a window of approximately 9 to 18 months for a significant platform to develop, depending on industry collaboration and investment.
Source: ThorstenMeyerAI.com
