📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
A standardized format for AI skills has been established, but no dedicated marketplace exists yet. This gap presents an opportunity for companies to capture value in AI infrastructure.
As of May 2026, a formal open standard for portable AI skills exists, but no dedicated marketplace has been built to host, discover, or monetize these skills.
This gap represents a significant opportunity for companies to establish a dominant position in AI infrastructure, with implications for developers, enterprises, and AI vendors alike.
The open standard for AI skills was published by Anthropic in December 2025 at agentskills.io, enabling skills to be portable across different AI models and runtimes. Reference implementations from Anthropic and OpenAI support this standard, allowing skills to be loaded into multiple platforms without model lock-in.
Despite these advancements, there is no dedicated marketplace akin to an app store for skills. Existing discovery layers include community directories such as SkillsMP, ClaudeWorld, and GitHub repositories, but these are not monetized or vetted for security and compliance.
Current limitations include the absence of revenue sharing, security audits, cross-surface portability (skills are not available across different APIs), and verification of author credibility. This creates a friction point in scaling a vibrant, secure, and monetized skills ecosystem.
Industry players like Microsoft, Google, and Vercel are publishing skill collections, but the marketplace infrastructure—discovery, vetting, monetization—is still missing. Experts believe that the next 9 to 18 months will be critical for establishing this marketplace layer, which could become the most defensible position in post-model-commoditization AI stacks.
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 model integration tools
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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 security audit software
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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 absence of a dedicated skills marketplace limits the ability for developers and organizations to monetize and securely share their AI artifacts. Building this marketplace could shift the power dynamics in AI ecosystems, enabling new revenue streams and organizational efficiencies. Companies that establish a trusted, scalable platform now could dominate the future AI infrastructure, similar to how app stores transformed mobile ecosystems.
This gap also impacts enterprise AI adoption, as organizations seek secure, compliant ways to package and deploy their proprietary skills. Without a marketplace, the value remains fragmented, and the potential for a vibrant, standardized economy around AI skills is unrealized.
Development of the AI Skills Ecosystem to Date
In late 2025, the AI skills ecosystem transitioned from informal directories and community repositories to a formal open standard, with Anthropic leading the way. The standard defines a simple YAML-based format (SKILL.md) that allows non-engineers to create and share skills without coding expertise. Major AI vendors like OpenAI, Anthropic, and others have integrated this standard into their products, supporting cross-model compatibility.
While the technical foundation is set, the ecosystem remains incomplete. There is no marketplace infrastructure for discovery, vetting, or monetization. Existing discovery layers are community-driven and rely on GitHub stars or word of mouth, which are inadequate for large-scale enterprise adoption or commercial activity.
This situation echoes the early days of app stores, where the platform existed but lacked a unified marketplace. Industry insiders suggest that the next critical phase is building a secure, scalable marketplace that supports author verification, security audits, and monetization, which is still in development.
“The marketplace layer does not exist yet, despite the open standard and reference implementations. This is the missing piece that could unlock the full potential of AI skills as an infrastructure layer.”
— Thorsten Meyer
Unresolved Challenges in Building the Skills Marketplace
It is still unclear which company or consortium will lead the development of a secure, scalable marketplace. Questions remain about governance, security standards, monetization models, and enterprise compliance requirements. The timeline for launch and adoption is also uncertain, with estimates ranging from 9 to 18 months.
Additionally, it is not yet confirmed how cross-surface portability will be enforced, or how author verification and security audits will be integrated at scale.
Next Steps Toward a Viable Skills Marketplace
Major AI vendors and ecosystem players are expected to begin developing marketplace prototypes in the coming months, focusing on security, discoverability, and monetization features. Standardization efforts will likely intensify, with industry consortia or alliances forming around governance and interoperability.
The first commercially viable marketplaces could emerge within 12 to 18 months, driven by enterprise demand for secure, reusable AI assets. Companies that move quickly to establish a trusted platform may secure a dominant position in the evolving AI infrastructure landscape.
Key Questions
Why is a skills marketplace important for AI development?
A marketplace enables discovery, sharing, and monetization of AI skills, fostering ecosystem growth, innovation, and enterprise adoption by providing a trusted, scalable platform.
Who is likely to lead the development of the skills marketplace?
Major AI vendors like Anthropic, OpenAI, Microsoft, and emerging industry consortia are expected to play key roles, though no clear leader has emerged yet.
What are the main challenges in building this marketplace?
Key challenges include establishing security standards, author verification, governance, monetization models, and ensuring cross-surface portability of skills.
When can we expect a fully operational skills marketplace?
Industry estimates suggest a timeframe of roughly 9 to 18 months for the first mature, scalable marketplaces to launch, depending on industry cooperation and technological development.
Source: ThorstenMeyerAI.com
