📊 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 community directories for AI skills exist, there is no dedicated marketplace akin to an app store. This gap offers a strategic opportunity for companies to lead in AI infrastructure.
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
Model Context Protocol (MCP) in Agentic RAG Systems: Building, Scaling, and Securing Agentic AI with MCP: Dynamic RAG, Tool Discovery, Interoperability, and Observability
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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 developer skills directory
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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-Powered Software Audits: Revolutionizing Audit, Compliance, Risk, Security, and Governance for Organizations: Harnessing AI to Automate Compliance, and Strengthen Governance in the Digital era
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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 a Skills Marketplace Matters for AI Ecosystem Leadership
The absence of a dedicated skills marketplace limits discovery, trust, and monetization, risking fragmentation and delaying the full potential of AI customization. Building this layer could enable a new wave of AI product innovation, open new revenue streams, and establish platform dominance. Companies that lead now can shape the future infrastructure, securing strategic advantage as AI models become commoditized and organizational expertise becomes the key differentiator.The Evolution of AI Skills Infrastructure and Missing Marketplace
Since late 2025, an open standard for AI skills has been adopted by major players, with reference implementations and community directories emerging. The standard, published by Anthropic, defines a YAML-based SKILL.md format that allows configuration, instructions, and resources to be packaged as portable artifacts. Despite these technical foundations, there is no dedicated marketplace platform for discovery, vetting, or monetization. Existing ecosystems rely on GitHub, community listings, and word-of-mouth, lacking formal security audits, revenue sharing, or cross-surface compatibility. This fragmentation underscores the opportunity for a new platform to unify and monetize the skills layer, which remains an unbuilt but highly strategic space.“The marketplace layer does not exist yet, despite the open standard and community efforts. This is the critical gap that companies are poised to fill.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It is not yet clear which company or consortium will successfully develop and dominate the skills marketplace layer. Questions remain about security, vetting processes, revenue models, and cross-surface compatibility. The timeline for widespread adoption and standardization is also uncertain, with estimates ranging from 9 to 18 months.Next Steps Toward a Fully Functional Skills Marketplace
Key developments to watch include the formation of dedicated platforms, security and vetting protocols, and monetization strategies. Major AI companies and startups are likely to announce marketplace initiatives within the next 12 months. Industry stakeholders will also focus on establishing governance, discoverability, and interoperability standards to accelerate ecosystem growth.Key Questions
Why is a skills marketplace important for AI development?
A dedicated marketplace would enable easier discovery, vetting, and monetization of AI skills, fostering innovation, trust, and organizational adoption at scale.Who is most likely to build the first skills marketplace?
Smaller, agile companies or emerging startups with strong technical standards and industry partnerships are best positioned to capitalize on this opportunity in the next 9–18 months.What are the main barriers to building a skills marketplace?
Challenges include establishing security and vetting protocols, creating a revenue model, ensuring cross-surface compatibility, and gaining industry-wide adoption.How does the open standard influence marketplace development?
The open standard provides a technical foundation for interoperability, but the marketplace layer itself requires dedicated infrastructure, governance, and business models to succeed.Source: ThorstenMeyerAI.com
