📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
A standard for portable AI skills has emerged, with multiple reference implementations and directories. However, a dedicated marketplace layer with security, verification, and monetization is still absent, representing a significant gap in AI infrastructure.
Despite the existence of an open standard for AI skills and several reference implementations, no dedicated marketplace currently exists to host, verify, and monetize these skills at scale, creating a significant gap in the AI ecosystem.
Since December 2025, an open standard for AI skills has been established at agentskills.io, adopted by major players like Anthropic, OpenAI, Microsoft, Google, and Vercel. This standard defines a format for portable, reusable AI skills—configurations, instructions, and resources—that can be loaded into different AI models and runtimes. Several reference implementations and free directories, such as SkillsMP and ClaudeSkills.info, facilitate discovery but do not support monetization, security verification, or cross-surface portability beyond GitHub stars and community word of mouth.
While the technical foundation is in place, a comprehensive marketplace layer—featuring vetting, security audits, revenue sharing, and discoverability—has not yet been built. Currently, skills are free and unverified, relying on trust and community reputation, which limits their commercial potential and enterprise adoption. The lack of a marketplace means that organizations and developers cannot easily buy, sell, or securely share skills, impeding wider ecosystem growth.
Industry insiders recognize this gap as a strategic opportunity. Building a secure, scalable marketplace could position the first entrants as dominant players in the post-model-commoditization AI stack, where the value increasingly resides in portable, organizationally specific skills rather than the underlying models.
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
AI Programming Made Practical: A Step-by-Step Guide to Building AI-Powered Applications, Writing Better Code Faster, and Using Modern AI Tools with Confidence
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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
Auditing Artificial Intelligence
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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 a Skills Marketplace Is a Critical Missing Piece
The absence of a dedicated marketplace hampers the development of a robust AI ecosystem where skills can be securely bought, sold, and shared. Such a marketplace would enable organizations to monetize their proprietary skills, improve discoverability, and ensure security and compliance through vetting and audits. This infrastructure is vital for scaling enterprise AI adoption and establishing a competitive advantage in the evolving AI landscape. Companies that lead in creating this marketplace could dominate the next phase of AI infrastructure, similar to how app stores transformed mobile ecosystems.
Emergence of a Standard and the Missing Marketplace Layer
Since late 2025, an open standard for AI skills has been adopted by major AI developers, with reference implementations and discovery directories emerging. These efforts have laid the groundwork for portable, reusable AI artifacts that can be integrated across different models and runtimes. However, despite widespread adoption of the standard and growing community interest, no commercial or enterprise-grade marketplace has been established. The ecosystem remains fragmented, with discovery limited to community platforms and no monetization or security vetting in place.
This gap reflects a broader industry challenge: the technical standard exists, but the marketplace infrastructure—necessary for scaling, security, and monetization—is still missing. Industry analysts believe that building such a marketplace within the next 9-18 months is critical for unlocking the full potential of AI skills as an infrastructure layer.
“The standard exists. The marketplace does not. The window is roughly 9–18 months. The companies in position to capture it are smaller than the assumed candidates, and that asymmetry is the thesis.”
— Thorsten Meyer
Unresolved Challenges in Building a Secure, Monetized Marketplace
It remains unclear which company or consortium will successfully develop and dominate the skills marketplace. Key challenges include establishing security verification, vetting processes, revenue sharing models, and cross-surface compatibility. Additionally, the timeline for widespread adoption and enterprise integration is still uncertain, with industry experts estimating a 9-18 month window for meaningful progress.
Next Steps for Ecosystem Builders and Industry Players
Major AI companies and startups are likely to begin investing in marketplace platforms within the next year, focusing on security, vetting, and monetization features. Partnerships, standards refinement, and early pilot programs could emerge as early indicators of market leadership. Industry observers will watch for announcements regarding formal marketplace launches, security protocols, and developer tools that facilitate trusted, scalable transactions of AI skills.
Key Questions
Why is there no existing skills marketplace yet?
While the technical standard for AI skills is established, a comprehensive marketplace with security, vetting, and monetization features has not been built. The ecosystem is still in the early stages of development, and commercial platforms are yet to emerge.
Who stands to benefit most from a skills marketplace?
Organizations with proprietary skills, AI platform providers, and developers seeking monetization opportunities will benefit most. A well-designed marketplace would enable secure sharing, buying, and selling of skills at scale.
When is a marketplace likely to become mainstream?
Industry estimates suggest a 9- to 18-month window for the development and adoption of a robust skills marketplace, depending on industry momentum and strategic investments.
What are the main hurdles in creating this marketplace?
Key challenges include establishing security and verification protocols, developing revenue-sharing models, ensuring cross-surface portability, and achieving enterprise trust and compliance.
Source: ThorstenMeyerAI.com
