📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
A standardized skills format for AI agents has been established, but no comprehensive marketplace with monetization, security, and discovery features has been built yet. This gap represents a significant opportunity for future development.
While an open standard for AI agent skills has been published and adopted by major players, a full-featured marketplace for these skills remains undeveloped, creating a significant gap in the AI infrastructure landscape.
In December 2025, the open standard for AI agent skills was published at agentskills.io, enabling interoperability across different AI models and platforms. Major companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have created reference implementations and published collections of skills, but no dedicated marketplace exists that supports monetization, vetting, or secure discovery. Currently, skills are hosted on community directories such as SkillsMP, ClaudeWorld, and GitHub, with discovery based mainly on community reputation and stars. The marketplace layer, which would enable secure, verified, and monetized skill transactions, is still absent. This leaves a critical gap in the AI ecosystem, where the potential for scalable, portable, and organizationally trusted skills remains unrealized. The window to build this marketplace is estimated at roughly 9 to 18 months, and smaller firms are positioned to capitalize on this opportunity due to their agility and focus on open standards.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 2025secure AI 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
monetized AI agent skills marketplace
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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 skill verification software
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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 limits the growth and security of AI applications. Without a platform for verified, monetized, and discoverable skills, organizations face challenges in deploying reusable, trusted AI components at scale. Building this marketplace could establish a new layer of AI infrastructure, enabling more secure, portable, and organizationally aligned AI solutions, and potentially capturing a significant competitive advantage for early entrants.Open Standard and Ecosystem Development to Date
Since December 2025, the open standard for AI agent skills has facilitated interoperability across multiple platforms. Major players like Anthropic and OpenAI have integrated the format into their tools, creating reference implementations. Community directories host hundreds of free, open-source skills, but these lack monetization, vetting, and security features. The marketplace layer, which would enable secure transactions and discovery, remains unbuilt, representing a critical missing component in the AI ecosystem. Industry analysts suggest that the next 9 to 18 months will be decisive for establishing this infrastructure, with smaller firms poised to lead due to the open nature of the standard.“The marketplace layer does not exist. No revenue share, no vetted-author verification, no security audit pipeline beyond ‘trust the source.’ This is the gap.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It is not yet clear how the security, vetting, and monetization mechanisms will be implemented at scale. The industry has yet to agree on standards for author verification, security audits, and revenue sharing models. Additionally, cross-surface portability and discovery algorithms remain untested in a marketplace context, raising questions about adoption and trust.
Next Steps for Developing a Viable Skills Marketplace
Key developments will include establishing security and vetting protocols, implementing monetization models, and creating discovery and ranking algorithms. Industry collaborations and pilot platforms are expected to emerge within the next 9 to 18 months, aiming to test and refine these features before a broader rollout. Smaller firms and open-source projects are likely to lead these efforts, leveraging the open standard.
Key Questions
Why is there no existing skills marketplace yet?
While the standard exists and some references implementations are available, the industry has not yet developed a secure, monetized, and discoverable platform that supports trusted transactions and cross-surface portability.
Who stands to benefit most from a skills marketplace?
Organizations that want to deploy reusable, organizationally trusted AI components efficiently will benefit, along with smaller firms and open-source projects that can quickly build and adopt new platforms under the open standard.
What are the main obstacles to building this marketplace?
Challenges include establishing security and vetting protocols, defining revenue models, ensuring cross-platform portability, and creating effective discovery mechanisms, all while maintaining user trust and security.
When might we see a fully operational skills marketplace?
Industry estimates suggest that a viable marketplace could emerge within 9 to 18 months, depending on industry collaboration and technological development.
Source: ThorstenMeyerAI.com
