📊 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 exist, a formal marketplace has not yet developed. This gap presents an opportunity for companies to establish a dominant position in AI infrastructure.
As of May 2026, a comprehensive open standard for AI skills has been established, but a dedicated marketplace layer remains absent. This gap represents a critical opportunity for companies to capture the future of AI infrastructure, as the ecosystem shifts from model-centric to artifact-centric value.
Since December 2025, the open standard for AI skills, hosted at agentskills.io, has enabled interoperability across multiple AI models and platforms, including Anthropic, OpenAI, and others. Over 140 free skills are available in community directories, but there is no dedicated marketplace with monetization, vetting, or security protocols. This leaves a significant gap in the ecosystem, where skills are discoverable but not commodified.
Current implementations include Anthropic’s Claude and OpenAI’s Codex CLI, which support the standard, but they lack a unified marketplace or revenue-sharing mechanism. The existing directories serve as discovery layers but do not facilitate transactions or formal curation. The absence of a marketplace inhibits scaling, security auditing, and enterprise adoption, which are essential for mainstream deployment.
Industry experts suggest that the next 9–18 months will be critical for establishing a marketplace infrastructure that can serve as the primary distribution layer for AI skills, similar to app stores in mobile ecosystems. Smaller firms and startups are positioned to dominate this space due to their agility and focus on open standards, whereas larger companies are still building their strategies.
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
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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 Dominance in AI Infrastructure
The development of a dedicated skills marketplace could significantly shift the AI ecosystem’s power dynamics. Companies that establish a trusted, secure, and scalable marketplace will control distribution, security standards, and monetization, creating a defensible position in the post-model-commoditization era. This layer will become the primary interface for enterprise and consumer AI applications, making it a critical battleground for future market share.
Evolution of the AI Skills Ecosystem
In late 2025, the open standard for AI skills was introduced, enabling interoperability across models and platforms. Prior to this, AI deployment was heavily model-dependent, with little portability or standardization. The emergence of SKILL.md as a configuration format allowed non-engineers to create and share skills, shifting the value from models to the artifacts authored by organizations.
Despite the rapid adoption of the standard and community-built directories, a formal marketplace has yet to materialize. Industry analysis indicates that the ecosystem is at a pivotal point, where the absence of a marketplace could slow down enterprise adoption and user trust, while a well-designed marketplace could accelerate growth and monetization opportunities.
“The standard exists, but the marketplace does not. The window to build it is roughly 9 to 18 months, and those who act now will shape the future of AI infrastructure.”
— Thorsten Meyer
Unresolved Challenges in Building the Marketplace
It remains unclear which company or consortium will successfully establish the dominant marketplace layer. Questions about security protocols, vetting processes, monetization models, and cross-surface compatibility are still open. Additionally, the pace of enterprise adoption and the willingness of large firms to rely on open standards for critical infrastructure are still uncertain.
Next Steps for Ecosystem Development
Within the next 9 to 18 months, efforts are expected to focus on developing a secure, scalable marketplace platform that supports monetization, vetting, and cross-surface portability. Key players—particularly smaller firms and startups—are likely to lead these efforts, leveraging open standards. Industry collaborations and pilot programs may emerge to test marketplace models, setting the stage for broader adoption and standardization.
Key Questions
Why is a marketplace layer important for AI skills?
A marketplace layer would enable discovery, monetization, security, and cross-platform compatibility, fostering ecosystem growth and enterprise trust.
Who is most likely to build the dominant skills marketplace?
Smaller, agile companies focused on open standards and interoperability are best positioned to establish a trusted, scalable marketplace within the next 9–18 months.
What are the main challenges in creating this marketplace?
Key challenges include establishing security protocols, vetting and verification processes, monetization models, and ensuring cross-surface compatibility.
How will this development impact AI deployment in enterprises?
A robust marketplace will simplify discovery, security, and integration, accelerating enterprise adoption and enabling more sophisticated AI workflows.
Source: ThorstenMeyerAI.com
