📊 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 has been established and reference implementations are available, a true marketplace with discovery, security, and monetization features remains absent. This gap could shape the future of AI product ecosystems.
In May 2026, the open standard for portable AI skills has been officially established, but no dedicated marketplace exists to facilitate discovery, security, or monetization, creating a significant gap in the AI ecosystem.
Since December 2025, the open standard at agentskills.io has enabled the creation of portable AI skills, supported by reference implementations from companies like Anthropic and OpenAI. These skills are simple YAML-based configurations that can be loaded across multiple AI models and runtimes, making them a potential infrastructure layer for AI products.
Despite this progress, there is no dedicated marketplace akin to app stores for AI skills. Current discovery relies on GitHub stars, community directories, and word-of-mouth, with no formal vetting, security audits, or monetization mechanisms. All existing skills are free, and there is no revenue-sharing model in place.
Major tech firms such as Microsoft, Google, and Vercel have published skill collections, but these are siloed and lack cross-surface portability or a unified marketplace. The absence of a marketplace limits the ability for organizations to discover, verify, and monetize skills at scale, which could hinder the ecosystem’s growth and innovation.
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 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
AI security audit software
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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 monetization solutions
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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 a Missing AI Skills Marketplace
The lack of a dedicated marketplace for AI skills represents a critical bottleneck for ecosystem growth. Without discovery, vetting, and monetization tools, organizations and developers face barriers in sharing and deploying skills efficiently. This gap could slow innovation, limit interoperability, and prevent the development of a robust, scalable AI infrastructure. Companies that build a marketplace now could establish a dominant position, shaping the future of AI product ecosystems and value capture.Development of AI Skills Standard and Ecosystem Layers
The open standard for AI skills was published in December 2025, establishing a common format for portable, reusable AI artifacts. Reference implementations from Anthropic, OpenAI, and others have demonstrated the format’s viability across multiple platforms. Currently, discovery relies on community directories and GitHub repositories, with no formal marketplace or monetization channels. Major tech firms have begun publishing skill collections but lack interoperability and a unified platform for discovery and commerce. The ecosystem remains fragmented, with the market layer still undeveloped.“The standard exists, but the marketplace does not. This is the critical gap that will define the next phase of AI ecosystem growth.”
— Thorsten Meyer
Unresolved Challenges in Building the Skills Marketplace
It is still unclear when a comprehensive, secure, and monetizable AI skills marketplace will be launched. Key issues include establishing vetting and security protocols, creating a discovery and ranking system, and enabling monetization and revenue sharing. The roles of major tech firms and the competitive landscape remain uncertain, as does the willingness of organizations to adopt a centralized marketplace.
Next Steps for Ecosystem Development and Market Formation
Over the next 9 to 18 months, efforts are expected to focus on developing security standards, establishing vetting processes, and launching pilot marketplaces. Industry players, startups, and platform providers may collaborate to create a unified discovery and monetization platform. The success of these initiatives will determine the pace at which a vibrant AI skills marketplace emerges, influencing the broader AI ecosystem’s evolution.
Key Questions
Why is a marketplace important for AI skills?
A marketplace would enable easier discovery, vetting, and monetization of AI skills, fostering ecosystem growth, interoperability, and innovation.
Who is likely to build the first major AI skills marketplace?
Smaller, agile companies or collaborations among major tech firms could lead the development, leveraging the open standard and existing reference implementations.
What are the main barriers to creating this marketplace?
Key challenges include establishing security and vetting protocols, creating reliable discovery and ranking systems, and developing sustainable monetization models.
Will the lack of a marketplace limit AI ecosystem growth?
Yes, without a dedicated marketplace, discovery and sharing of skills will remain fragmented, potentially slowing innovation and adoption.
Source: ThorstenMeyerAI.com
