📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
A standardized skills ecosystem for AI agents exists since late 2025, but no marketplace or monetization platform has been developed. This gap presents a major opportunity for future AI ecosystem builders.
Despite the existence of an open standard for AI agent skills and several reference implementations, no dedicated skills marketplace has yet been built, leaving a significant gap in the AI ecosystem.
Since December 2025, the agent skills standard at agentskills.io has provided a common format for creating portable, interoperable AI skills. Major companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have adopted or support the standard through their tools and collections. However, there is no dedicated marketplace or platform that facilitates discovery, monetization, or vetting of these skills. Currently, discovery relies on GitHub stars, community directories, and word of mouth, while all skills are offered freely without revenue sharing or security vetting pipelines.
This absence of a marketplace layer means that organizations and developers lack a centralized, secure, and monetized environment to share and sell skills, limiting the ecosystem’s growth and adoption. The existing reference implementations and directories are valuable but do not provide the commercial infrastructure necessary for widespread ecosystem development.
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 2025
Radkit Cookbook: Practical Recipes for Building AI Agents in Rust (AI Agent 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 skills vetting and security platform
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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?”
The Future of Video Platforms: AI, Streaming, and the Next Digital Revolution (Smarter Content Creation & Monetization)
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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 dedicated skills marketplace limits the growth, security, and monetization potential of the AI skills ecosystem. Building such a platform could enable new business models, foster innovation, and solidify the ecosystem as a critical layer in AI infrastructure. Companies that develop this marketplace early may gain a defensible position in the post-model-commoditization era, where skills and artifacts become the primary units of value rather than the models themselves.Emergence of the Skills Standard and Ecosystem Gaps
The open standard for AI agent skills was published in December 2025, establishing a universal format for creating, sharing, and deploying skills across different AI models and runtimes. Major AI companies have adopted or support this standard, recognizing the potential for a portable, interoperable skills layer. Despite this, no commercial marketplace or ecosystem has emerged to facilitate discovery, vetting, or monetization of these skills. Prior efforts have focused on directories and community repositories, but these lack the infrastructure for scalable, secure, and revenue-generating exchanges.
This gap mirrors early internet infrastructure issues before the rise of app stores and marketplaces, highlighting a critical opportunity for new entrants to establish a dominant platform in the AI ecosystem.
“The standard exists. The marketplace does not. The window is roughly 9–18 months. The companies in position to capture it are smaller than the assumed candidates, and that asymmetry is the thesis.”
— Thorsten Meyer
Uncertainties About Ecosystem Development and Adoption
It remains unclear which company or consortium will successfully build and dominate the skills marketplace. The timing for widespread adoption of a dedicated platform is uncertain, with estimates ranging from 9 to 18 months. Additionally, questions about security vetting, monetization models, and enterprise compliance frameworks are still unresolved, which could impact adoption and trust.
Next Steps for Building the Skills Marketplace Ecosystem
Within the next 9 to 18 months, companies and startups are expected to develop and launch dedicated marketplaces or platforms that address discovery, security, and monetization. Industry collaboration on standards and security protocols will likely accelerate. Early movers who establish a trusted, scalable ecosystem could secure a dominant position in the emerging AI infrastructure layer, influencing how AI capabilities are packaged, shared, and monetized in the future.
Key Questions
Why is there no existing skills marketplace yet?
While the open standard and reference implementations exist, no dedicated platform has been built to facilitate discovery, vetting, or monetization of skills. The ecosystem is still in early development, and building a secure, scalable marketplace requires overcoming technical, security, and business model challenges.
Who stands to benefit most from a skills marketplace?
Small and medium-sized AI companies, enterprises seeking custom integrations, and developers who create reusable skills are positioned to benefit most. A well-designed marketplace could enable monetization, secure sharing, and widespread adoption of skills, creating a new revenue layer in AI services.
What are the main challenges in building this marketplace?
Key challenges include establishing security and vetting pipelines, creating discovery and ranking mechanisms, developing monetization models, and ensuring cross-surface portability. Addressing enterprise compliance and trust concerns is also critical for enterprise adoption.
When might we see a fully operational skills marketplace?
Industry estimates suggest that a mature, widely adopted marketplace could emerge within 9 to 18 months, depending on company initiatives, standard adoption, and enterprise engagement.
Source: ThorstenMeyerAI.com
