📊 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 AI agent skills has been established, a dedicated marketplace layer remains absent. This gap presents an opportunity for early movers to define the future of AI ecosystem infrastructure.
Despite the existence of an open standard and multiple reference implementations, no dedicated commercial skills marketplace has been built in the AI ecosystem as of May 2026.
A standard for AI agent skills was published by Anthropic in December 2025 at agentskills.io, followed by adoption by OpenAI’s Codex CLI and other major players like Microsoft, Google, and Vercel. Multiple free directories host community-created skills, but there is no monetized, vetted marketplace akin to an app store. The current ecosystem is fragmented, with no revenue share, security audit pipeline, or cross-surface portability, limiting commercialization and discovery. The gap between the standard and a functional marketplace creates a significant opportunity for smaller companies to establish dominance in this infrastructure layer, which could influence the future of AI ecosystem monetization and interoperability.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 agent 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?”
AI ecosystem monetization solutions
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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.
Why a Skills Marketplace Is a Critical Missing Link
The absence of a dedicated skills marketplace hampers the commercialization and scaling of AI agent capabilities. Building a trusted, discoverable, and monetized platform could enable organizations to better leverage their custom skills, foster innovation, and establish a competitive advantage. The development of such a marketplace could shape how AI services are packaged, sold, and integrated across industries, potentially becoming a key component of the AI ecosystem’s value chain.Evolution of the AI Skills Ecosystem and Standards
Since late 2025, the AI skills ecosystem has matured with the publication of the open standard by Anthropic and its adoption by major AI providers. Reference implementations and free directories have emerged, but a commercial marketplace remains absent. The ecosystem’s current state resembles early app stores before monetization, with discovery primarily via GitHub stars and community word of mouth. The standard’s existence indicates readiness for a marketplace, but the lack of one limits monetization, security, and organizational adoption. Industry insiders see this gap as a strategic opportunity, with the next 9-18 months critical for development.“The standard exists. The marketplace does not. The window is roughly 9–18 months.”
— Thorsten Meyer
Unresolved Challenges and Unknowns in Building the Marketplace
It is still unclear which company or consortium will take the lead in building the first fully functional, monetized skills marketplace. Questions remain about security standards, vetting processes, revenue models, and cross-surface portability. The pace of industry adoption and regulatory considerations are also uncertain, making the timeline and success of marketplace development unpredictable.
Next Steps in Developing a Functional Skills Marketplace
In the coming 9–18 months, industry players are expected to prototype and test marketplace concepts, establish governance standards, and potentially launch initial platforms. Smaller firms with agility may capitalize on this window to define the ecosystem’s standards and capture early market share. Key milestones include establishing vetting processes, security protocols, and monetization models that will determine the marketplace’s long-term viability.
Key Questions
Why is there no commercial skills marketplace yet?
While standards and directories exist, the ecosystem lacks a trusted, monetized platform that addresses security, vetting, and discovery at scale. Building such a marketplace requires coordination among industry players, which is still underway.
Who stands to benefit most from building this marketplace?
Smaller, agile companies that can quickly develop and deploy a trusted marketplace layer may gain a dominant position, capturing significant value in the AI ecosystem infrastructure.
What are the main technical challenges?
Key challenges include establishing security standards, vetting processes, cross-surface portability, and creating sustainable revenue models that incentivize participation.
When is a marketplace likely to emerge?
Industry insiders estimate the next 9–18 months will be critical for prototypes, testing, and initial launches, with full-scale adoption depending on early success and standardization efforts.
How might this impact AI product development?
A mature skills marketplace could shift value from model licensing to ecosystem services, enabling organizations to customize, share, and monetize their AI capabilities more effectively.
Source: ThorstenMeyerAI.com
