📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
While an open standard and reference implementations for AI skills exist, a dedicated marketplace layer with monetization, security, and discovery remains undeveloped. This gap could define future AI ecosystem leaders.
Despite the existence of an open standard, reference implementations, and community directories, there is no dedicated skills marketplace for AI skills that offers monetization, vetting, or discovery tools, creating a significant gap in the AI ecosystem.
Since December 2025, an open standard for AI agent skills has been established at agentskills.io, enabling interoperability across models like Claude, GPT, and Llama. Major companies such as Anthropic, OpenAI, Microsoft, Google, and Vercel have published collections of skills and integrated the standard into their tools.
However, there is no dedicated marketplace akin to app stores, with features like revenue sharing, vetting, or security audits. Current discovery relies on GitHub stars and word of mouth, and all skills are free, with no monetization or formal verification processes in place. This leaves a security gap and limits the commercial potential of the skills ecosystem.
The absence of a marketplace layer means that while skills are portable and standardized, they remain fragmented, with no central platform to curate, monetize, or securely distribute them. This gap represents a strategic opportunity for smaller firms to establish dominance in the AI infrastructure layer.
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
Transforming Cybersecurity Audit Practices with Agility and Artificial Intelligence (AI) (Security, Audit and Leadership Series)
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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 Monetization Mastery(English) : Earning from AI Skills – Build Smart Income Streams Using Artificial Intelligence (Book no:6) (AI Automation Series)
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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 developer vetting tools
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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.
Implications of the Missing Skills Marketplace
The lack of a dedicated skills marketplace hampers the growth of a robust AI ecosystem by limiting discoverability, trust, and monetization. Building such a marketplace could enable new business models, improve security, and foster innovation, positioning early movers as dominant players in AI infrastructure.Development Timeline and Ecosystem Foundations
The open standard for AI skills was published in December 2025, with reference implementations and community directories following. Major tech companies have adopted the standard, integrating skills into their products. Despite this, the marketplace layer — where skills can be bought, sold, and securely vetted — remains unbuilt, representing a critical missing piece in the ecosystem. This situation reflects a broader industry shift towards modular, portable AI artifacts, but also highlights the current fragmentation and security concerns.
“The marketplace layer does not exist yet, and that’s the major gap that will define who leads the next phase of AI infrastructure.”
— Thorsten Meyer
Unresolved Challenges and Security Concerns
It is not yet clear when a dedicated skills marketplace will emerge or what form it will take. Key issues include establishing vetting and security protocols, creating monetization models, and enabling cross-surface portability with security guarantees. The industry consensus on these points remains evolving, and regulatory considerations are still emerging.
Next Steps for Building the Skills Marketplace
In the next 9 to 18 months, industry players are expected to experiment with marketplace prototypes, develop security and vetting standards, and possibly introduce initial monetization frameworks. Smaller firms and startups are poised to capitalize on this gap, potentially establishing dominant positions if they move quickly. Major platforms may also seek to integrate or create their own marketplaces to lock in users and developers.
Key Questions
Why is there no existing skills marketplace yet?
While standards and reference implementations are in place, the industry has yet to develop a dedicated platform that offers discovery, security, vetting, and monetization features necessary for a robust ecosystem.
What are the main barriers to building a skills marketplace?
Key challenges include establishing security and vetting protocols, creating sustainable monetization models, and ensuring cross-surface portability without security risks.
Who stands to benefit most from a dedicated skills marketplace?
Smaller companies and startups that can innovate quickly may dominate, while larger platforms could seek to integrate or control such marketplaces to maintain ecosystem lock-in.
How will the lack of a marketplace affect AI development?
It limits discoverability, trust, and monetization, potentially slowing innovation and reducing incentives for third-party developers to create and share skills.
Source: ThorstenMeyerAI.com
