📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
Despite the existence of open standards, reference implementations, and community directories for AI skills, a centralized, monetized marketplace remains absent as of May 2026. This gap represents a key opportunity for companies to capture value in the evolving AI infrastructure layer.
Open standards and reference implementations for AI skills have been established, but a dedicated marketplace for buying, selling, or vetting skills remains absent as of May 2026. This gap could define the next phase of AI infrastructure development and ecosystem monetization.
Since late 2025, the AI skills ecosystem has been characterized by an open standard published by Anthropic, with implementations from companies like OpenAI, Microsoft, and Vercel. Over 140 free skills are listed across community directories such as SkillsMP, ClaudeWorld, and GitHub, all following a common SKILL.md format that enables interoperability across models and runtimes.
However, despite these technical foundations, there is no dedicated marketplace akin to an app store where skills can be discovered, vetted, or monetized. Current discovery relies on community-driven repositories and word-of-mouth, with no revenue sharing or vetting process beyond trust in source. The absence of a marketplace limits the ability for developers and organizations to monetize or standardize their skills, creating a significant gap in the ecosystem.
Major AI companies have built reference implementations and directories, but the marketplace layer—where users can find, buy, and sell skills with security, verification, and monetization—remains unbuilt. Industry insiders suggest that this missing layer is critical for capturing value as AI models become commoditized and organizations seek to embed organizational expertise into portable artifacts.
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
Winning Without Persuading: A New Framework for Leading with Curiosity and Story Discovery
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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
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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?”
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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.
Potential for Ecosystem Monetization and Standardization
The lack of a dedicated skills marketplace limits the ability for organizations and developers to monetize their skills, creating a significant opportunity for companies to establish a dominant platform. Building such a marketplace could enable secure vetting, discoverability, and transaction facilitation, unlocking new revenue streams and strengthening ecosystem lock-in.
As AI models become interchangeable commodities, the real value shifts to the skills—customized, organizational, procedural knowledge—that sit on top. A marketplace would allow this value to be captured more effectively, making it a strategic imperative for AI vendors and platform builders.
The Evolution of AI Skills Ecosystem and Missing Marketplace Layer
Since the open standard for AI skills was published by Anthropic in December 2025, the ecosystem has seen rapid growth in reference implementations, community directories, and cross-surface compatibility. Major AI vendors have adopted the format, and numerous free repositories have emerged. Despite this progress, no commercial marketplace has materialized to facilitate discovery, vetting, or monetization of skills.
Historically, platform success has depended on a marketplace layer—such as Apple’s App Store or Google Play—that enables discovery and monetization. The AI skills ecosystem has yet to develop this critical layer, leaving a gap that industry insiders believe will be addressed in the next 9–18 months.
“The skills ecosystem exists in standard and implementation form, but the marketplace layer remains absent, creating a significant gap for future development.”
— Thorsten Meyer
Unresolved Challenges in Building the Skills Marketplace
It remains unclear which company or consortium will lead the development of the marketplace, how security and vetting will be standardized at scale, and whether monetization models will emerge quickly enough to attract broad participation. Additionally, regulatory and security concerns around trust and verification are still being addressed.
Next Steps for Ecosystem Builders and Industry Stakeholders
Key players are expected to begin developing marketplace prototypes within the next 6 to 12 months, focusing on vetting, discoverability, and secure transactions. Industry collaborations or standards bodies may emerge to facilitate interoperability and security, accelerating the ecosystem’s maturation. Monitoring these developments will be critical for organizations aiming to leverage AI skills for strategic advantage.
Key Questions
Why is a skills marketplace important for AI development?
A marketplace would enable discovery, vetting, and monetization of skills, fostering ecosystem growth and allowing organizations to capture value from organizational and procedural knowledge embedded in AI artifacts.
Who is likely to lead the development of the skills marketplace?
Industry insiders suggest that smaller, innovative companies or consortiums that have built the open standard and reference implementations may be best positioned to create the first viable marketplace.
What are the main barriers to building the skills marketplace?
Security, trust, vetting, and monetization models remain unresolved. Additionally, the lack of a clear industry leader or standard enforcement could slow progress.
When can we expect a functional skills marketplace?
Industry sources estimate that a functional marketplace could emerge within 9 to 18 months, depending on industry collaboration and investor interest.
How will a marketplace impact AI model usage?
It would shift value from the underlying models to the portable, organization-specific skills built on top, enabling more tailored, secure, and monetizable AI solutions.
Source: ThorstenMeyerAI.com
