📊 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 for AI skills exists and reference implementations are available, a comprehensive marketplace layer has not yet been built. This gap presents opportunities for companies to capture value by developing a standardized, secure, and discoverable skills marketplace.
As of May 2026, a formal open standard for AI agent skills exists, but no dedicated marketplace platform has been developed to host, discover, or monetize these skills. This gap leaves a significant opportunity for innovation and ecosystem growth, with implications for AI product developers and organizations relying on portable skills.
The open standard for AI skills was published by Anthropic in December 2025 at agentskills.io, enabling interoperability across different AI models and runtimes. Reference implementations, such as Anthropic’s Claude and OpenAI’s Codex CLI, have adopted the format, allowing skills to be portable and reusable across platforms.
Despite these technical foundations, there is no dedicated marketplace akin to an app store for AI skills. Existing discovery layers include community directories like SkillsMP, ClaudeSkills.info, and GitHub repositories, but these are not monetized or vetted at scale. There is also no unified security or verification pipeline, relying instead on trust-based sourcing.
Major tech firms such as Microsoft, Google, and Vercel are publishing skill collections, but the ecosystem remains fragmented without a centralized marketplace layer to facilitate discovery, security audits, or monetization. This absence limits the commercial potential and scalability of the skills 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 skills marketplace platform
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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
Supply Chain Software Security: AI, IoT, and Application Security
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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?”
monetized AI skills marketplace
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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 Dedicated Skills Marketplace Is Critical
The absence of a formal marketplace hampers the growth and monetization of AI skills, leaving a strategic gap for companies that can establish a trusted, discoverable platform. Developing such a marketplace could become a key competitive advantage, enabling organizations to package proprietary knowledge as portable, reusable skills and capture value beyond model licensing. Without it, the ecosystem risks fragmentation, security vulnerabilities, and missed revenue opportunities, potentially stalling broader adoption and innovation in AI applications.Ecosystem Development and the Missing Link
Since the publication of the open standard in late 2025, the AI skills ecosystem has seen rapid growth in reference implementations and community directories. Major technology companies are publishing their own skill collections, emphasizing the importance of portability and interoperability. However, the critical missing component remains a marketplace that can unify discovery, security, and monetization, akin to app stores in mobile ecosystems. This gap is notable given the standard’s potential to underpin a new layer of AI infrastructure, making skills the core unit of value and organizational IP.“The marketplace layer for AI skills is the missing piece that will determine how quickly and securely organizations can adopt portable AI artifacts at scale.”
— Thorsten Meyer
Unclear Who Will Build the Market Layer First
It remains uncertain which company or consortium will take the lead in developing a comprehensive skills marketplace. While the open standard and reference implementations are established, the commercial and security infrastructure required for a trusted marketplace is still in formation. The timeline for this development is estimated to be within 9–18 months, but no clear frontrunner has emerged.Next Steps for Ecosystem Maturation
Key developments will include the creation of a secure, discoverable marketplace platform that supports vetting, security audits, and monetization of skills. Industry players, startups, and cloud providers are likely to compete or collaborate on building this infrastructure. Standardization efforts, security protocols, and integration with existing AI runtimes will be critical milestones over the next 9 to 18 months.
Key Questions
Why is a dedicated skills marketplace important?
A dedicated marketplace would enable discovery, security verification, and monetization of AI skills, fostering ecosystem growth and enabling organizations to capture value from their proprietary artifacts.
Who is likely to develop the first skills marketplace?
The leading candidates are smaller specialized startups or consortiums formed by major cloud providers, but no definitive leader has emerged yet.
What are the main challenges in building this marketplace?
Challenges include establishing security and verification protocols, creating discoverability and ranking mechanisms, and ensuring cross-surface portability and compliance at scale.
When can we expect a fully operational skills marketplace?
Industry estimates suggest a timeframe of approximately 9 to 18 months from now, depending on collaboration and standard adoption speed.
Source: ThorstenMeyerAI.com
