📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
While open standards and directories for AI skills are established, a formal marketplace layer has yet to be built. This gap limits discoverability, security, and monetization, creating a significant opportunity for companies to capture this infrastructure layer.
Despite the emergence of an open standard for AI skills and multiple community directories, there is currently no dedicated marketplace layer for AI skills, creating a significant gap in the ecosystem.
In May 2026, over 140 free AI agent skills are available on community platforms, with official skills published by Anthropic and other tech giants like Microsoft, Google, and Vercel. An open standard for skills, defined at agentskills.io, has been adopted by major tools such as OpenAI’s Codex CLI and Anthropic’s Claude. However, there is no dedicated marketplace akin to app stores for these skills, meaning discovery is limited to GitHub stars, word of mouth, and community directories like SkillsMP and claudeskills.info.
Current infrastructure allows for cross-surface portability of skills within the standard, but no commercial or vetting process exists. All skills are free, with no revenue sharing or vetting beyond ‘trust the source.’ Security gaps include the lack of an official audit pipeline, and the marketplace layer remains undeveloped. The window for building this marketplace is roughly 9 to 18 months, with smaller companies positioned to capture this opportunity.
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
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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
CRAFTERIAN Horror Tarot Cards, 78 Cards Deck with Foil Edges, Original for Beginners and Experts with Guide Book, Fortune Telling Game, Divination Tools for All Skill Levels.
Terrifying Artwork: Explore the depths of fear and fascination with the Horror Tarot Deck, featuring spine-chilling artwork that…
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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-Powered Software Audits: Revolutionizing Audit, Compliance, Risk, Security, and Governance for Organizations: Harnessing AI to Automate Compliance, and Strengthen Governance in the Digital era
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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?”
101 Claude Code Tips – Master Hooks, Skills, MCP, and Agentic Workflows: A Battle-Tested Field Guide to CLAUDE.md, Subagents, Plan Mode, and Verification in Claude Code
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.
Why a Skills Marketplace Is a Critical Infrastructure Layer
Building a dedicated skills marketplace would address key challenges in AI ecosystem development, including discoverability, security, and monetization. It would enable organizations to share, verify, and monetize their custom skills, creating a new revenue stream and competitive moat. Without it, the ecosystem remains fragmented, limiting the potential for scalable, enterprise-grade AI deployment and innovation.
The Evolution of AI Skills Ecosystem and Missing Market Layer
The concept of skills as portable artifacts emerged in late 2025, with the open standard at agentskills.io and multiple reference implementations. These skills are simple YAML-based configurations that can be loaded into various models and runtimes, making them interchangeable. Despite this progress, the ecosystem lacks a formal marketplace layer for discovery, vetting, and monetization, leaving a significant gap between the existing standards and practical commercial deployment. Major players have published skills and directories, but no platform consolidates or facilitates transactions.
“The marketplace layer for AI skills does not exist yet, and that’s the gap that will define the next phase of AI infrastructure development.”
— Thorsten Meyer
Uncertain Aspects of Building the Skills Marketplace
It is still unclear which company or consortium will successfully build and dominate the skills marketplace layer. The regulatory, security, and monetization frameworks are also not yet defined, and adoption hurdles remain. Additionally, the impact of potential proprietary or closed-marketplace models on open standards is uncertain.
Next Steps for Developing the Skills Marketplace Layer
Over the next 9 to 18 months, industry players, startups, and large tech firms are expected to develop marketplace platforms that address discoverability, vetting, and monetization. Building security audit pipelines, establishing vetting standards, and enabling seamless cross-surface portability will be key milestones. Watch for major AI vendors to announce marketplace initiatives or partnerships that could define this new layer of AI infrastructure.
Key Questions
Why is there no marketplace for AI skills yet?
While standards and directories exist, the ecosystem lacks a dedicated platform that supports discovery, vetting, security, and monetization, which are essential for a robust marketplace.
Who could build the first AI skills marketplace?
Smaller startups or existing AI platform providers with established community engagement and technical standards are most likely to lead the development of this marketplace layer.
What are the main challenges in creating a skills marketplace?
Key challenges include establishing security and vetting protocols, creating a revenue model, ensuring cross-surface compatibility, and gaining trust from enterprise users.
How would a skills marketplace impact AI development?
It would facilitate easier discovery, sharing, and monetization of skills, accelerating innovation and enterprise adoption while creating new revenue opportunities for developers and vendors.
Source: ThorstenMeyerAI.com
