📊 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 for portable AI skills has been established and some reference implementations exist, there is currently no dedicated marketplace for these skills. This gap presents a strategic opportunity for companies to capture value in the evolving AI stack.
Despite the existence of an open standard for portable AI skills and several reference implementations, no dedicated marketplace has been created to host, discover, or monetize these skills, representing a significant gap in the AI ecosystem.
In May 2026, more than 140 free AI agent skills are available across community directories, with official skills published by companies like Anthropic, Microsoft, Google, and Vercel. These skills follow a standardized format (SKILL.md) and are designed to be portable across different AI models and runtimes. The open standard for skills was published by Anthropic in December 2025 at agentskills.io, and adoption by tools like OpenAI’s Codex CLI has begun.
However, despite the technical groundwork, there is no dedicated marketplace or app store for these skills. Existing discovery layers are community-driven and free, with no monetization or vetting process beyond trust in the source. The marketplace layer, which would enable discovery, curation, security, and revenue sharing, remains absent. This creates a significant gap, as the ecosystem lacks a centralized, secure, and monetizable platform for deploying and managing skills at scale.
Industry insiders suggest that the next 9 to 18 months will be critical for building this marketplace, with smaller companies positioned to potentially lead due to their flexibility and focus on open standards. Major players have yet to establish a formal platform, leaving an opening for innovative entrants.
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 app
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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
AI skill monetization tools
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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?”
AI standard compliance software
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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.
Strategic Opportunity in AI Skills Marketplace Development
The absence of a dedicated skills marketplace limits the ability for organizations to discover, validate, and monetize AI skills, which could slow innovation and adoption. Building this layer would enable a more vibrant ecosystem, facilitate enterprise compliance, and allow for better security and vetting processes. For smaller firms and startups, this represents a chance to establish a defensible position before larger incumbents attempt to dominate the space. Ultimately, the development of a marketplace could shift value capture from model providers to the organizations and developers creating and curating skills, making it a critical infrastructure layer in the AI stack.
Open Standard and Ecosystem Development to Date
The open standard for AI skills was published by Anthropic in December 2025, establishing a common format (SKILL.md) that enables portability across different models and runtimes. Several reference implementations are available, including Anthropic’s native integrations and OpenAI’s Codex CLI, which adopted the standard quickly. Community directories like SkillsMP, ClaudeWorld, and GitHub host over 140 free skills, serving as discovery layers but lacking monetization or vetting mechanisms.
Despite these advances, the marketplace layer—where these skills could be packaged, discovered, and monetized—remains unbuilt. Industry analysts note that this gap is a strategic choke point, with the potential to determine who controls the next phase of AI infrastructure. The current ecosystem is fragmented, relying on trust and community reputation rather than formal security or revenue models.
“The standard exists. The marketplace does not. The window is roughly 9–18 months. The companies in position to capture it are smaller than the assumed candidates, and that asymmetry is the thesis.”
— Thorsten Meyer
Unclear Timing and Market Adoption Pace
It is not yet clear when a fully developed marketplace layer will emerge or how quickly industry players will adopt standardized discovery and monetization mechanisms. Larger companies may attempt to build proprietary solutions, or smaller firms might lead open ecosystem efforts, but the timeline remains uncertain.
Next Steps for Ecosystem Builders and Companies
Key developments to watch include the formation of industry consortia, the launch of pilot marketplaces by smaller firms, or major platform providers integrating skills marketplaces into their offerings. Stakeholders should focus on establishing security, vetting, and monetization standards to accelerate adoption and secure a competitive position in this emerging infrastructure layer.
Key Questions
Why is there no marketplace for AI skills yet?
While the open standard and reference implementations exist, the marketplace layer—enabling discovery, security, and monetization—has not been built, partly due to technical, security, and business model challenges.
Who is likely to lead the development of this marketplace?
Smaller, agile companies focused on open standards and modular AI infrastructure are best positioned to build and lead the initial marketplace, before larger incumbents attempt to dominate.
What are the main obstacles to building a skills marketplace?
Major challenges include establishing security and vetting processes, creating a sustainable revenue model, and gaining industry-wide adoption of standard discovery and deployment mechanisms.
How will a skills marketplace impact AI development?
A dedicated marketplace would facilitate faster innovation, enable organizations to monetize their skills, improve security and compliance, and create a more vibrant, competitive ecosystem.
Source: ThorstenMeyerAI.com
