📊 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 agent skills exist, a dedicated marketplace layer is missing. This gap represents a key opportunity for companies to capture value in the evolving AI stack.
Open standards for AI agent skills have been formalized and adopted by major players, yet a dedicated marketplace layer to facilitate discovery, monetization, and security remains absent, creating a significant opportunity for innovation.
In May 2026, over 140 free agent skills are available across community directories, with official skills published by Anthropic, OpenAI, and other tech giants. The open standard at agentskills.io, adopted by OpenAI’s Codex CLI, provides a common format (SKILL.md with YAML frontmatter) that enables interoperability across different AI models and runtimes.
Despite these developments, there is no dedicated marketplace akin to an app store for AI skills. Current discovery mechanisms rely on GitHub stars, community word of mouth, and free directories like SkillsMP and ClaudeWorld. There is no revenue sharing, vetting, or security auditing pipeline beyond trust in the source, and skills are currently free with limited enterprise controls.
This gap leaves a significant opportunity for companies to build a marketplace layer that can facilitate discovery, vetting, monetization, and cross-surface portability, potentially capturing substantial value in the AI ecosystem.
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 agent 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
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?”
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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 Link
The absence of a dedicated skills marketplace hampers the development of a scalable, secure, and monetizable AI ecosystem. Building such a marketplace could enable organizations to package, share, and monetize their proprietary skills, creating a new revenue stream and strengthening their competitive position.
It also addresses key issues such as security, vetting, and discoverability, which are currently managed informally. As AI models become commoditized, the ability to differentiate through proprietary skills and organizational expertise will become a vital moat, making the marketplace layer the most defensible position in the AI stack.
The Evolution of the AI Skills Ecosystem and Its Missing Marketplace
The open standard for AI agent skills was published in December 2025, following internal testing by Anthropic and adoption by OpenAI. Reference implementations from Anthropic and OpenAI have been integrated into their respective platforms, enabling interoperability of skills across models and runtimes.
Community directories have emerged, listing over 140 free skills, but these serve primarily as discovery layers without monetization or vetting capabilities. The ecosystem currently relies on informal discovery mechanisms, which limits scalability and security.
Despite the technical standard and growing community, no dedicated marketplace exists. Industry experts see this as a critical gap that, if filled, could accelerate the adoption and monetization of AI skills, creating a new layer of infrastructure in the AI ecosystem.
“The open standard exists, but the marketplace layer does not. This is the biggest gap in the AI skills ecosystem today.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It remains unclear how quickly a comprehensive, secure, and monetizable marketplace layer will be developed. Key issues include establishing vetting and security protocols, creating a revenue-sharing model, and enabling cross-surface portability of skills across different AI providers and platforms.
Additionally, the market’s adoption rate depends on whether organizations see enough value to participate actively, and how regulatory and security concerns will be addressed at scale.
Next Steps for Developing a Skills Marketplace Infrastructure
Major AI companies and ecosystem builders are likely to start investing in marketplace infrastructure within the next 9 to 18 months. This could include launching pilot platforms, establishing vetting and security standards, and integrating monetization features.
Furthermore, industry consortia or open-source initiatives might emerge to define standards and best practices, accelerating the ecosystem’s development and adoption.
Key Questions
Why is there no existing marketplace for AI skills?
While open standards and directories exist, a dedicated marketplace layer has not been built due to technical, security, and business model challenges, including vetting, monetization, and cross-platform compatibility.
Who stands to benefit most from a skills marketplace?
Organizations with proprietary skills, AI platform providers, and third-party developers can benefit by monetizing and securely sharing their skills, creating new revenue streams and competitive advantages.
When might we see a functional skills marketplace?
Industry estimates suggest that a marketplace could emerge within the next 9 to 18 months, as companies recognize its strategic importance and invest in infrastructure.
What are the main barriers to building this marketplace?
Key barriers include establishing security and vetting protocols, creating a fair revenue-sharing model, and enabling cross-surface portability of skills across different AI models and platforms.
How will a skills marketplace impact AI development and adoption?
It could accelerate adoption by making skills easier to discover, share, and monetize, fostering a more vibrant ecosystem and enabling organizations to differentiate through proprietary, reusable artifacts.
Source: ThorstenMeyerAI.com
