📊 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 comprehensive marketplace layer is missing. This gap limits discovery, monetization, and security, creating a significant opportunity for future development.
Despite the existence of an open standard and multiple reference implementations for AI agent skills, no marketplace layer has yet been built to facilitate discovery, monetization, or security for these skills, creating a critical gap in the ecosystem.
In late 2025, the open standard for AI agent skills was published at agentskills.io, establishing a common format (SKILL.md) and enabling interoperability across different models and runtimes. Major companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have adopted or integrated this standard into their tools and platforms, creating a foundation for a skills ecosystem. Reference implementations are available in products such as Claude.ai, Codex CLI, and ChatGPT, which support skills natively. Community-maintained directories like SkillsMP, ClaudeWorld, and GitHub host over 140 free, open-source skills, serving as discovery layers. However, a dedicated marketplace for these skills—similar to app stores—does not yet exist. There are no mechanisms for monetization, vetting, or security audits beyond trusting the source, and cross-surface portability remains limited. This creates a significant gap in the infrastructure needed for widespread adoption and commercial viability of AI skills.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 agent skills 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
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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.
Implications of the Missing Skills Marketplace
The absence of a formal marketplace hampers the ability for developers and organizations to discover, share, and monetize AI skills at scale. Without vetting, security, or monetization mechanisms, trust remains limited, potentially slowing innovation and enterprise adoption. The development of such a marketplace could become a defensible position for companies aiming to dominate the AI ecosystem, making this a strategic opportunity in the post-model-commoditization era.Development Timeline of AI Skills Ecosystem
The open standard for AI skills was published in December 2025, following internal adoption by Anthropic in October. Reference implementations and native integrations by major AI providers have followed, establishing a technical foundation. Community directories have emerged to facilitate discovery, but no commercial marketplace or security framework has been developed. The ecosystem is still in its early stages, with a window of roughly 9 to 18 months for the marketplace to be built and scaled, according to industry analysts. Smaller firms and startups are positioned to capture this opportunity, given the current lack of dominant players in the marketplace layer.“The marketplace layer for AI skills is the missing link that will determine how quickly and securely organizations can adopt and monetize AI capabilities at scale.”
— Thorsten Meyer
Unconfirmed Details About Future Marketplace Development
It is not yet clear which company or consortium will ultimately build and dominate the skills marketplace. The timeline for development and adoption is estimated at 9–18 months, but specific milestones, funding, or standards enforcement remain uncertain. Security, vetting, and monetization models are still under discussion, and cross-surface compatibility beyond the standard is not yet established. The impact of potential regulatory or enterprise security requirements on marketplace development is also unknown.
Next Steps for Building the Skills Marketplace
Key industry players, startups, and possibly consortia are expected to begin developing dedicated marketplaces within the next 9 to 18 months. Focus areas include establishing vetting protocols, security standards, and monetization models. Companies that succeed in creating a trusted, discoverable, and scalable marketplace will position themselves as leaders in the post-model-commoditization AI landscape. Monitoring announcements from major AI providers and startups will be essential for tracking progress.
Key Questions
Why is a skills marketplace important for AI development?
A marketplace would enable easier discovery, sharing, security vetting, and monetization of AI skills, accelerating enterprise adoption and innovation.
Who is most likely to build the first AI skills marketplace?
Smaller AI startups, existing platform providers, or consortiums that can leverage the open standard are the most likely candidates in the near term.
What are the main challenges in building this marketplace?
Developing security protocols, vetting processes, monetization models, and cross-surface compatibility are key technical and trust-related hurdles.
When can we expect a fully operational AI skills marketplace?
Industry estimates suggest a window of roughly 9 to 18 months from May 2026, but this depends on strategic developments and industry coordination.
How will the lack of a marketplace affect AI enterprise adoption?
Without a dedicated marketplace, discovery and trust in skills are limited, potentially slowing enterprise deployment and the development of a vibrant ecosystem.
Source: ThorstenMeyerAI.com
