📊 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 centralized, monetized marketplace has not yet emerged. This gap presents an opportunity for companies to capture value in AI infrastructure.
As of May 2026, the open standard for portable AI skills exists, but a dedicated marketplace layer has not been built, leaving a significant gap in AI infrastructure that companies are poised to exploit.
Open standards for AI skills, such as the SKILL.md format published by Anthropic and adopted by OpenAI’s Codex CLI, have created a common framework for portable AI artifacts. These skills are simple, YAML-based configurations that can be loaded into multiple AI models and runtimes, making them highly interchangeable and reusable across platforms.
Despite this, there is no dedicated marketplace akin to app stores, with no revenue sharing, vetting, or discovery mechanisms beyond GitHub stars and community word of mouth. The existing directories are free and community-driven, but lack monetization, security audits, or enterprise controls. This leaves a clear gap in the ecosystem, which smaller firms and startups are well-positioned to fill within the next 9 to 18 months.
Major AI companies like Anthropic, Microsoft, Google, and Vercel have published collections of skills and participate in open standards, but have not yet created a commercial marketplace for these assets, leaving the space open for new entrants.
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.
Potential for Value Capture in a New AI Infrastructure Layer
The absence of a dedicated skills marketplace means that the economic value associated with reusable AI components remains unclaimed. Companies that develop a secure, discoverable, and monetized platform could establish a dominant position, capturing the value of customer-specific, organizational, or procedural AI artifacts. This could shift the AI ecosystem from model-centric to artifact-centric, making skills the core unit of value and differentiation.
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Standards, Tools, and Community Efforts Set the Stage
The open standard for AI skills was published in December 2025, establishing a common format and baseline for interoperability. Major AI players have adopted the standard into their tooling, but the marketplace layer—where these skills could be bought, sold, and curated—remains undeveloped. Existing directories and repositories are free, community-maintained, and lack monetization or enterprise security features. The ecosystem is at a critical inflection point, with the potential for a marketplace to emerge in the next 9 to 18 months.
“The standard exists. The marketplace does not. The window is roughly 9–18 months.”
— Thorsten Meyer
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Unclear Who Will Lead or Build the Marketplace
It remains uncertain which companies or entities will establish the first comprehensive, monetized AI skills marketplace. While smaller firms and startups are positioned to capitalize on the gap, no major player has yet announced a definitive plan. Security, vetting, and discovery mechanisms are also still under development, and regulatory or enterprise adoption hurdles could influence the timeline.
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Next Steps for Ecosystem Development and Market Formation
In the coming months, expect startups and established AI companies to prototype or launch marketplace platforms that leverage the open standard. Key milestones include establishing vetting processes, security audits, discovery algorithms, and monetization models. Industry alliances or standards bodies may also formalize governance or certification protocols to accelerate adoption.
enterprise AI skill security audit
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Key Questions
Why is there no marketplace for AI skills yet?
While standards and directories exist, building a secure, discoverable, and monetized marketplace requires significant infrastructure, trust, and enterprise adoption, which are still in development.
Who are the likely candidates to build this marketplace?
Smaller AI startups, cloud providers, or consortiums of industry players that want to control the ecosystem and monetize AI artifacts are best positioned to develop the marketplace first.
What benefits would a skills marketplace bring?
It would enable easier discovery, sharing, and monetization of AI components, fostering innovation, reducing duplication, and creating new revenue streams for providers.
How does this gap impact AI product development?
Without a marketplace, organizations may struggle to scale reusable AI assets, leading to fragmented ecosystems and slower innovation cycles.
Source: ThorstenMeyerAI.com
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