📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
While a standard for portable AI skills exists and reference implementations are available, there is no active marketplace layer with discovery, security, or monetization. This gap represents a key opportunity for companies to capture a foundational infrastructure layer in AI.
Despite the existence of an open standard for portable AI skills, there is currently no active marketplace layer that enables discovery, vetting, or monetization, creating a significant gap in the AI ecosystem.
The open standard for AI skills was published at agentskills.io in December 2025, with reference implementations from Anthropic, OpenAI, and others. However, there is no marketplace that supports discovery, vetting, or revenue sharing for these skills. Existing directories like SkillsMP and GitHub host community skills, but these are not monetized or secured at scale.
Major tech companies such as Microsoft, Google, and Vercel are publishing skill collections, but they do not operate a unified marketplace or app store for skills. The current landscape is fragmented: skills are free, unverified, and lack cross-surface portability—meaning a skill uploaded to Claude.ai is not available via API for other platforms.
Industry insiders note that this gap represents a critical infrastructure opportunity. Companies that build a trusted, discoverable, and monetizable skills marketplace could establish a defensible position in the post-model-commoditization era of AI.
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 2025AI skill discovery tools
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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 security verification software
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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 monetization solutions
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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 Will Transform AI Ecosystems
This missing layer is crucial because it will enable organizations and developers to discover, share, and monetize skills across different AI platforms. A marketplace would foster innovation, reduce vendor lock-in, and create new revenue streams. Without this infrastructure, the value remains locked in individual models or proprietary ecosystems, limiting the growth of an open, interoperable AI economy.
The Evolution and Current State of AI Skills Infrastructure
The concept of portable AI skills emerged in late 2025 with the publication of an open standard by Anthropic. Since then, reference implementations from Anthropic, OpenAI, and others have demonstrated the technical feasibility. However, the marketplace layer—where discovery, vetting, and monetization happen—remains undeveloped. This is similar to the early days of app stores before Apple’s App Store became dominant, leaving a significant gap in ecosystem development.
Existing directories like SkillsMP and GitHub list hundreds of free skills, but these are non-monetized and lack security or vetting pipelines. Major cloud and AI providers have published skill collections but do not offer a unified discovery or monetization platform, leaving a fragmented landscape.
Industry analysts warn that without a marketplace, the ecosystem risks stagnation and vendor lock-in, as the true unit of value shifts from models to the portable skills artifacts that organizations create and own.
“The marketplace layer does not exist yet, and that creates a critical gap in the AI ecosystem. Whoever builds it will capture a foundational position.”
— Thorsten Meyer
Unresolved Challenges in Building the Skills Marketplace
It is still unclear which company or consortium will successfully create and operate the first comprehensive skills marketplace. Questions remain about security standards, vetting processes, revenue models, and cross-surface compatibility. The timeline for development is estimated at 9–18 months, but no definitive plans have been announced.
Next Steps for Ecosystem Development and Adoption
Key industry players and startups are expected to begin pilot programs to build out discovery and vetting pipelines. Standardization efforts will likely evolve, and early marketplaces may emerge within the next year. These efforts will determine which platform gains dominance and how quickly the ecosystem matures.
Key Questions
Why is there no marketplace for AI skills yet?
The open standard exists, but the industry has yet to develop a trusted, monetizable marketplace layer that supports discovery, vetting, and cross-surface compatibility.
Who stands to benefit most from a skills marketplace?
Organizations that create and own valuable skills, as well as developers and startups that can build discovery and vetting platforms, are positioned to benefit.
When might a functional skills marketplace emerge?
Industry estimates suggest within 9 to 18 months, but timelines depend on standard adoption, security protocols, and ecosystem collaboration.
What are the main barriers to building this marketplace?
Key challenges include establishing security and vetting standards, creating sustainable revenue models, and achieving cross-platform compatibility.
Source: ThorstenMeyerAI.com
