📊 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 and directories for AI skills have been established, a centralized marketplace layer with monetization, vetting, and discovery is not yet built. This gap represents a significant opportunity for innovation and ecosystem growth.
Despite the existence of an open standard for portable AI skills and multiple community directories, there is currently no dedicated marketplace layer that facilitates discovery, vetting, security, or monetization of skills, representing a critical gap in the AI ecosystem.
Since December 2025, the open standard for AI skills, hosted at agentskills.io, has provided a common format (SKILL.md) for describing and sharing skills across different models and platforms. Major players like Anthropic, OpenAI, Microsoft, Google, and Vercel have adopted or integrated this standard into their tools, creating a foundation for portability and interoperability.
However, despite these technical advances, there is no marketplace layer akin to app stores for mobile platforms. Currently, discovery relies on GitHub stars, community word-of-mouth, and free directories such as SkillsMP and ClaudeSkills.info. There are no revenue-sharing models, no vetting or security audits beyond trusting the source, and no cross-surface portability beyond basic standardization.
This absence leaves a significant gap: the ecosystem lacks a centralized, trusted platform for users to find, evaluate, and pay for skills, which could hinder widespread adoption and enterprise deployment. The existing directories are purely discovery tools, not marketplaces with transaction or security infrastructure.
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.
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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 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.
Why a Skills Marketplace Is a Critical Missing Piece
The lack of a dedicated skills marketplace limits the growth and monetization potential of the AI skills ecosystem. Without a platform for discovery, vetting, and payment, developers and organizations face barriers to sharing and adopting skills at scale. Building such a marketplace could unlock new revenue streams, improve security and trust, and accelerate AI adoption across industries, making it a strategic opportunity for companies willing to lead the space.
Ecosystem Development and the Missing Marketplace Layer
The AI skills ecosystem has rapidly evolved over the past six months, with open standards and reference implementations establishing technical interoperability. These developments follow a pattern similar to early web standards, where foundational protocols precede the creation of vibrant marketplaces. Currently, the ecosystem is fragmented, with discovery limited to community-curated directories and no formal transaction infrastructure.
Major technology firms have adopted the standard internally and offer skills in their products, but external developers and enterprises lack a unified platform to commercialize or securely share skills. The window to build this marketplace is estimated to be roughly 9 to 18 months, with smaller companies positioned to capture this opportunity before larger incumbents.
“The marketplace layer for AI skills does not yet exist, despite the open standard and directories. This is the critical gap that will define the next phase of ecosystem growth.”
— Thorsten Meyer
Unclear Timing and Business Models for the Marketplace
It remains uncertain when a comprehensive skills marketplace will emerge, who will lead its development, and how monetization, vetting, and security will be structured. While smaller firms are positioned to build early versions, the dominant players have yet to commit to a solution, and regulatory or security concerns could influence the timeline.
Next Steps for Ecosystem Builders and Companies
In the coming months, expect startups and smaller firms to experiment with marketplace prototypes, focusing on discovery, security, and payment integration. Larger firms may either acquire or partner with emerging players or develop their own solutions. Industry standards and community efforts will likely shape the regulatory and security frameworks, influencing how the marketplace evolves.
Key Questions
Why is there no marketplace layer yet despite open standards?
Building a marketplace involves complex issues around security, vetting, monetization, and trust, which have not yet been addressed at scale. The ecosystem is still in an early stage of standard adoption and community organization.
Who is most likely to build the first successful skills marketplace?
Smaller, agile startups with existing community directories or specialized security and vetting solutions are best positioned to pioneer early marketplace models, potentially gaining a competitive advantage.
What benefits would a marketplace bring to AI developers and users?
A dedicated marketplace would improve discovery, facilitate trusted transactions, enable monetization, and accelerate enterprise adoption by providing a secure, standardized platform for sharing and deploying skills.
When might we see mainstream adoption of a skills marketplace?
Industry estimates suggest a window of 9 to 18 months for initial marketplace prototypes and early adoption, with broader mainstream deployment depending on security, vetting, and business model development.
What are the main barriers to building this marketplace?
Key barriers include establishing security and vetting protocols, creating trust among users, developing monetization models, and aligning industry standards for discovery and transaction processes.
Source: ThorstenMeyerAI.com
