📊 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, a centralized, monetized marketplace remains undeveloped. This gap could shape the future of AI ecosystem dominance.
Open standards and reference implementations for AI skills have been established, but a full-scale, monetized marketplace remains absent, creating a significant gap in the AI ecosystem.
Since December 2025, the industry has seen the emergence of an open standard for AI skills at agentskills.io, adopted by major players like Anthropic and OpenAI. These skills are simple YAML-based artifacts that can be loaded across different models and runtimes, making them portable and reusable. Despite this progress, there is no centralized marketplace where developers or organizations can buy, sell, or license skills, nor any revenue-sharing mechanism or vetting process beyond trust in source. Existing directories like SkillsMP and GitHub host community skills, but they lack monetization or enterprise-grade security features.
Major AI companies such as Anthropic, OpenAI, Microsoft, Google, and Vercel are publishing skill collections and standards, but the marketplace layer—where skills could be discovered, licensed, and monetized—is missing. This creates a gap that, if filled, could become a defensible position in the post-model-commoditization AI stack. Industry insiders indicate that this marketplace could emerge within 9 to 18 months, with smaller firms positioned to lead due to their agility.
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
Understanding Open Source and Free Software Licensing
Used Book in Good Condition
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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
Enterprise MCP Security: Securing AI Agents, Tools & LLM Operations
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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?”
Hands-On APIs for AI and Data Science: Python Development with FastAPI
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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 Ecosystems
The absence of a dedicated skills marketplace limits the ability for organizations to monetize their custom AI artifacts and hampers the development of a vibrant AI ecosystem. A standardized marketplace would enable discovery, licensing, and security vetting, fostering innovation and competition. It would also serve as a key strategic asset, allowing smaller firms to establish defensible positions before larger players consolidate control. The development of such a marketplace could shift the value capture from model licensing to skill creation and management, impacting how AI products are built and scaled.
Progress and Gaps in AI Skills Infrastructure
Since late 2025, the AI industry has made significant strides in establishing open standards for skills, with the publication of the Agent Skills spec by Anthropic and adoption by OpenAI’s Codex CLI. Reference implementations are integrated into major products, and community directories list over 140 free skills. However, the marketplace layer—where these skills could be bought, sold, or licensed—remains undeveloped. Existing efforts are limited to discovery and community sharing, with no monetization or enterprise security pipeline in place. This disconnect leaves a critical gap in the AI ecosystem, which industry analysts believe could be filled within the next 9 to 18 months.
“The marketplace layer does not exist yet, and that is the key gap that, if filled, could define the next phase of AI ecosystem development.”
— Thorsten Meyer
Unresolved Questions About Market Development
It is still unclear which company or consortium will lead the development of the skills marketplace, what business models will succeed, and how security, verification, and monetization will be handled at scale. The timeline for widespread adoption and the regulatory environment remain uncertain, as does the integration with existing enterprise workflows.
Next Steps Toward a Commercial Skills Ecosystem
Industry players are expected to accelerate efforts to build the marketplace infrastructure, including establishing vetting, licensing, and security protocols. Smaller firms and startups may emerge as early leaders, while larger corporations explore acquisition or partnership strategies. Developers and organizations should monitor announcements over the next 9 to 18 months for platform launches, standards adoption, and potential monetization frameworks.
Key Questions
Why is there no skills marketplace yet?
While open standards and reference implementations exist, the industry has yet to develop a centralized platform for discovery, licensing, and monetization, partly due to technical, security, and business model challenges.
Who is likely to lead the development of the skills marketplace?
Smaller, agile firms and startups are seen as best positioned to build and test early versions, with larger companies potentially acquiring or partnering to scale the platform.
What benefits would a skills marketplace bring?
It would enable easier discovery, licensing, and monetization of AI skills, fostering innovation, competition, and new revenue streams for creators and organizations.
When might we see a fully operational skills marketplace?
Industry experts estimate within 9 to 18 months, depending on technological, security, and business model developments.
What are the risks or challenges in building this marketplace?
Key challenges include establishing security and verification protocols, creating sustainable business models, and integrating with enterprise workflows and compliance requirements.
Source: ThorstenMeyerAI.com
