📊 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 are established, a comprehensive marketplace layer with discovery, security, and monetization is not yet built. This gap represents a significant opportunity for innovators in AI infrastructure.
Despite the existence of an open standard and multiple reference implementations for portable AI skills, there is currently no active marketplace layer that enables discovery, security, and monetization of these skills, leaving a major gap in AI infrastructure.
In May 2026, over 140 free AI agent skills are available across community repositories, with official skills published by companies like Anthropic, Microsoft, Google, and Vercel. A formal open standard for skills, defined at agentskills.io, has been adopted by major AI labs and integrated into tools such as OpenAI’s Codex CLI and Anthropic’s Claude. However, despite these technical foundations, there is no dedicated marketplace layer akin to an app store that facilitates discovery, vetting, security, or paid monetization of skills.
Current directories like SkillsMP, ClaudeSkills.info, and GitHub host community-shared skills, but these are purely discovery platforms without revenue sharing, vetting, or security pipelines. Skills are free, and there is no mechanism for monetization or enterprise compliance. Skills are portable across models and runtimes, but users cannot easily find or pay for high-quality, vetted skills across surfaces or platforms. This fragmentation limits the ecosystem’s growth and the potential for scalable, secure, and monetized AI skill deployment.
Industry insiders suggest that the absence of a marketplace layer hampers the full potential of the skills infrastructure, risking a scenario where the ecosystem remains siloed and less economically sustainable, similar to the early days of app stores before their dominance.
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
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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
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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 the Missing Piece
The lack of a dedicated marketplace for AI skills limits discovery, security, and monetization, hindering ecosystem growth and enterprise adoption. Building this layer could unlock new revenue streams, improve trust through vetting, and enable scalable deployment of AI capabilities across industries.
Established Foundations but No Marketplace Layer Yet
The open standard for skills was published in December 2025, and multiple reference implementations exist within leading AI companies. Community directories have aggregated hundreds of free skills, but these serve only as discovery repositories without monetization or security pipelines. The ecosystem resembles the early app store landscape—technically defined but lacking a centralized marketplace that facilitates discovery, vetting, and commercial transactions. The window to build this layer is roughly 9 to 18 months, and smaller firms are positioned to capitalize on this gap, as larger players focus on model and organization-level differentiation.
“The marketplace layer for AI skills does not exist yet, despite the open standard and reference implementations; this is the key gap in the ecosystem.”
— Thorsten Meyer
Unclear Timeline and Market Adoption Dynamics
It is not yet clear which companies or startups will successfully develop and dominate the skills marketplace layer, or how quickly this ecosystem will mature. The specific features, security standards, and monetization models that will gain industry acceptance remain to be seen.
Next Steps for Building a Scalable Skills Ecosystem
Developers and companies are expected to begin creating marketplace platforms that incorporate discovery, vetting, and payment features within the next 9 to 18 months. Major AI firms may either build proprietary marketplaces or adopt open standards for broader ecosystem participation. Industry standards and security pipelines are likely to evolve in response to early marketplace implementations, shaping the future of portable AI skills and their commercial viability.
Key Questions
Why is there no existing marketplace for AI skills yet?
While the open standard and reference implementations are established, the industry has not yet built a dedicated marketplace layer that supports discovery, security, vetting, and monetization, which remains a technical and organizational gap.
What are the main barriers to building a skills marketplace?
Key barriers include establishing security and vetting pipelines, creating trust mechanisms, enabling monetization, and gaining industry-wide adoption of standards and discovery protocols.
Who is most likely to build the first successful skills marketplace?
Smaller firms or startups that focus on modular AI infrastructure and ecosystem interoperability are positioned to develop and dominate the initial marketplace layer, leveraging the open standard and existing reference implementations.
How will a skills marketplace impact enterprise AI adoption?
A dedicated marketplace could improve discovery, vetting, and security, making it easier for enterprises to adopt and trust AI skills at scale, thus accelerating enterprise deployment and monetization.
Source: ThorstenMeyerAI.com
