📊 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 layer for AI agents is nearing completion, but a dedicated marketplace does not yet exist. This gap could influence AI product ecosystems and value capture.
As of May 2026, a standardized, open skills layer for AI agents exists, but a dedicated marketplace for these skills has not yet been built, representing a major gap in the AI ecosystem.
Multiple industry players—including Anthropic, OpenAI, Microsoft, Google, and Vercel—have contributed to a growing ecosystem of portable AI skills, underpinned by open standards like agentskills.io and supported by reference implementations and community directories. Despite this progress, there is no dedicated marketplace—no app store equivalent—for discovering, vetting, or monetizing these skills. Current discovery relies on GitHub stars and word of mouth, and all skills are offered freely without revenue sharing or vetting pipelines.
The skills are defined via a simple YAML-based format, enabling cross-surface portability and model interchangeability. This configuration-based approach allows non-engineers to create skills tailored to organizational needs, making the artifact the core unit of value, rather than the underlying model. However, the absence of a formal marketplace means there is no monetization, no security audit pipeline beyond trust, and no systematic discovery or ranking mechanism.
While the standard and directories are in place, the marketplace layer—the platform where these skills can be bought, sold, and curated—is still missing. Industry insiders suggest this gap could be filled within 9 to 18 months, with smaller companies poised to benefit most from 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
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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 agent skills 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
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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?”
Technical Innovation, solving the Data Spaces and Marketplaces Interoperability Problems for the Global Data-Driven Economy (River Publishers Series … and Information Science and Technology)
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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 Skills Marketplace
The absence of a dedicated marketplace limits the potential for monetization, vetting, and organized discovery of AI skills, slowing ecosystem growth and value capture for organizations. Building such a platform could enable organizations to better leverage their organizational knowledge and procedural expertise, creating a new layer of AI-driven productivity and customization. As the skills layer becomes the primary asset in AI deployment, the lack of a marketplace could hinder widespread adoption and innovation, giving an advantage to smaller firms or startups that develop this infrastructure first.
Growth of Portable AI Skills Ecosystem
Since the open standard for AI skills was published by Anthropic in December 2025, multiple companies and community projects have adopted the format, creating directories and reference implementations. Major AI providers like OpenAI, Anthropic, and others have integrated skills into their products, but the ecosystem remains fragmented without a unified marketplace. Historically, ecosystems like app stores or plugin marketplaces have driven monetization and discovery, but in AI, this layer has yet to materialize. The current focus has been on standardization, interoperability, and community discovery, but the commercial infrastructure remains absent.
“The marketplace layer for AI skills does not yet exist, despite open standards and directories. This gap is the key to unlocking monetization and ecosystem growth.”
— Thorsten Meyer
What Will Drive the Creation of an AI Skills Marketplace
It is still unclear which company or consortium will take the lead in building the first comprehensive AI skills marketplace. The timeframe is estimated at 9 to 18 months, but specifics about funding, standards enforcement, or security vetting processes are still emerging. The roles smaller firms or open-source communities might play in this development are also uncertain.
Next Steps for Building the Skills Marketplace
Key industry players are expected to begin experimenting with marketplace prototypes within the next year, focusing on discovery, vetting, and monetization features. Standardization efforts will likely evolve to include security and compliance pipelines, while community and enterprise stakeholders will push for integrations with existing app stores or enterprise platforms. The first successful marketplace could set the precedent for a new AI ecosystem infrastructure, potentially transforming how AI capabilities are packaged and traded.
Key Questions
Why is there no marketplace for AI skills yet?
While standards and directories exist, the ecosystem lacks a dedicated platform for discovery, vetting, and monetization, primarily due to the complexity of security, trust, and business models in AI.
Who is likely to build the first AI skills marketplace?
Smaller companies or open-source communities, possibly in collaboration with larger AI providers, are positioned to develop the first viable marketplace within the next 9 to 18 months.
What are the main challenges in creating an AI skills marketplace?
Key challenges include establishing security and vetting pipelines, creating discovery and ranking mechanisms, and developing sustainable monetization models.
How will a marketplace impact AI ecosystem growth?
A dedicated marketplace could accelerate discovery, enable monetization, and foster innovation, leading to more customized AI solutions and broader adoption.
What is the difference between a skills standard and a marketplace?
The standard defines how skills are formatted and shared, while a marketplace provides the platform for discovery, trading, and management of these skills.
Source: ThorstenMeyerAI.com
