📊 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, there is no dedicated marketplace akin to app stores. This gap represents a significant missed opportunity for ecosystem growth and monetization.
Despite the emergence of open standards, reference implementations, and community directories for AI skills, there is currently no dedicated marketplace platform for buying, selling, or vetting skills, representing a critical gap in the AI ecosystem.
Since the publication of the open standard at agentskills.io in December 2025, several companies—including Anthropic, OpenAI, Microsoft, Google, and Vercel—have developed reference implementations and assembled directories of free, community-contributed skills. However, these efforts remain fragmented, with no centralized marketplace that facilitates discovery, monetization, or quality assurance for skills.
Current infrastructure offers open standards and reference tools but lacks a marketplace akin to app stores, with no revenue sharing, no vetting process, and limited security protocols beyond source trust. Skills are freely available, with no paid options or formal monetization channels, and cross-surface portability remains unimplemented, limiting practical deployment across different AI models and platforms.
Industry experts warn that without a dedicated marketplace, the ecosystem risks stagnation, as the potential for scalable distribution, quality control, and monetization remains unrealized. The absence of a marketplace also hampers the ability of organizations to package and sell their proprietary skills, potentially ceding advantage to larger platform providers.
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 skill vetting software
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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 app store development kit
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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 the Missing Skills Marketplace
The absence of a dedicated skills marketplace hampers the growth of an ecosystem where skills can be easily discovered, vetted, and monetized, limiting innovation and competitive differentiation. Without a centralized platform, smaller developers and organizations struggle to distribute their skills at scale, risking a concentration of power among a few large players.
This gap could slow the development of specialized AI applications, reduce incentives for quality improvements, and hinder the emergence of a vibrant third-party ecosystem. For companies aiming to build durable, portable AI assets, the lack of a marketplace constrains strategic options and revenue potential, possibly delaying the broader adoption of AI-driven workflows.
Existing Standards and Directory Efforts
The open standard for skills was published at agentskills.io in December 2025, establishing a common format for describing AI skills with YAML frontmatter and Markdown instructions. Major players like Anthropic and OpenAI have integrated the standard into their tools, creating reference implementations such as Claude.ai and Codex CLI. Community directories like SkillsMP, ClaudeWorld, and GitHub host hundreds of free skills, but these are discovery layers without monetization or vetting mechanisms.
While the technical foundation for a skills ecosystem exists, the marketplace layer—where users can buy, sell, and review skills—has not yet materialized. Current efforts focus on standardization and community sharing, but the critical commercial infrastructure remains absent, leaving a significant gap in the AI stack.
“The marketplace layer for skills is the missing piece that will unlock scalable distribution, monetization, and quality assurance in the AI ecosystem.”
— Thorsten Meyer
What Specific Features Will a Skills Marketplace Require?
It is still unclear what the definitive design, security protocols, vetting processes, and monetization models for a future skills marketplace will look like. No platform has yet announced comprehensive plans or standards for these features.Next Steps Toward Building a Skills Marketplace Layer
Industry stakeholders are expected to begin formal discussions and pilot projects within the next 9 to 18 months to establish a dedicated marketplace infrastructure. Key priorities include defining security and vetting standards, developing monetization models, and creating cross-surface compatibility. Smaller firms and open-source communities are likely to play a pivotal role in shaping the ecosystem’s future.
Progress will depend on industry collaboration, standard adoption, and investment in marketplace infrastructure, with potential platforms emerging as early as late 2026 or early 2027.
Key Questions
Why is there no skills marketplace yet, despite standards and directories?
The ecosystem has focused on standardization and community sharing, but the commercial infrastructure—such as vetting, monetization, and discovery—has not yet been developed.
Who stands to benefit most from a dedicated skills marketplace?
Smaller developers, organizations with proprietary skills, and third-party vendors would benefit from easier distribution, monetization, and quality assurance mechanisms.
What are the risks of not building a skills marketplace?
The ecosystem could become fragmented, with limited innovation, reduced incentives for quality, and a concentration of power among large platform providers, potentially slowing broader adoption of AI applications.
When might we see the first dedicated skills marketplace?
Industry experts suggest that a functional marketplace could emerge within the next 9 to 18 months, with pilot platforms potentially launching by late 2026 or early 2027.
Source: ThorstenMeyerAI.com
