📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
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TL;DR
While open standards and directories for AI skills exist, a formal, monetized marketplace layer has not yet been built. This gap could shape the future value and control of AI ecosystems.
Despite the existence of an open standard and multiple reference implementations for AI skills, there is currently no dedicated marketplace layer that enables discovery, monetization, or vetting of skills, representing a significant gap in the AI ecosystem.
In May 2026, over 140 open-source AI skills are available through community directories like skills.info and GitHub, and major companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have published collections of skills. These skills are built on an open standard (agentskills.io) that was published in December 2025, facilitating interoperability across different AI models and runtimes.
However, the marketplace layer—analogous to app stores for mobile apps—remains absent. There is no centralized, monetized platform for discovering, vetting, or securely distributing skills. Current discovery relies on GitHub stars, community word of mouth, and free directories, with no revenue sharing, no verified author system, and limited security controls beyond source trust.
This gap leaves a strategic vulnerability: without a dedicated marketplace, the ecosystem risks fragmentation, limited monetization, and security concerns. The lack of cross-surface portability—skills not being available across different AI providers—further complicates ecosystem growth and user trust.
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.
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 2025The 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
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?”
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 AI Skills Marketplace Layer
The absence of a dedicated skills marketplace could hinder the growth and monetization of AI ecosystems, limiting the ability for developers and organizations to capitalize on their skill artifacts. It also creates security and trust challenges, as there is no standardized vetting process or audit pipeline beyond source trust.
Building this marketplace could establish a defensible position for companies that control it, shaping the future of AI infrastructure. As the AI model layer becomes commoditized, the skills layer—containing customer-specific judgment and organizational knowledge—may become the most valuable asset.
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Current State of AI Skills Infrastructure and Gaps
The open standard for AI skills was published in December 2025, enabling interoperability across various AI models and runtimes. Major players have adopted the format, and community directories host hundreds of free skills. Despite this progress, the marketplace—where these skills could be monetized, vetted, and distributed securely—remains undeveloped.
Historically, app stores like Apple’s App Store or Google Play have played a crucial role in building ecosystems around software distribution and monetization. Similar infrastructure is missing for AI skills, which could limit the ecosystem’s scalability and commercial potential.
“The marketplace layer for AI skills does not exist yet, and this gap is the most significant opportunity for strategic advantage in the AI infrastructure space.”
— Thorsten Meyer
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Unresolved Challenges in Building the Skills Marketplace
It is still unclear which company or group will take the lead in creating a standardized, secure, and monetized AI skills marketplace. Questions remain about how to implement vetting, security, and revenue sharing at scale, and whether regulatory or security concerns will slow development.
Additionally, the competitive dynamics—whether existing AI platform providers will build their own marketplaces or third-party players will emerge—are still uncertain.
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Next Steps Toward a Functional AI Skills Marketplace
Within the next 9 to 18 months, expect efforts from major AI companies and startups to prototype or launch marketplace platforms. Focus will likely include establishing vetting protocols, security standards, and monetization models. Monitoring these developments will be key to understanding how the ecosystem evolves.
Further, industry consortia or open standards bodies may formalize governance or certification processes to support marketplace trust and adoption.
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Key Questions
Why is a marketplace layer important for AI skills?
A marketplace would enable discovery, secure distribution, vetting, and monetization of skills, fostering ecosystem growth and protecting users.
Who is likely to build the first AI skills marketplace?
Major AI platform providers like Anthropic, OpenAI, or Google could lead, but smaller startups or industry consortia may also emerge as key players.
What are the main challenges in creating this marketplace?
Key challenges include establishing security and vetting standards, creating monetization and revenue-sharing models, and gaining broad industry adoption.
When might we see a fully operational AI skills marketplace?
Experts estimate a window of roughly 9 to 18 months for initial prototypes or launches, with full adoption potentially taking longer.
Source: ThorstenMeyerAI.com
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