📊 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 dedicated, monetized marketplace has not yet been built. This gap presents a strategic opportunity for companies to capture value in the evolving AI infrastructure.
As of May 2026, a widely adopted open standard for AI skills exists, but no dedicated marketplace or revenue-generating platform has been built to host, discover, or monetize these skills.
The open standard for AI skills was published in December 2025 by Anthropic, with support from major players like OpenAI, Microsoft, Google, and Vercel. This standard defines a portable format for skills—small, YAML-based configuration packages that can be loaded across different AI models and runtimes.
Despite this, there is no dedicated marketplace akin to an app store. Existing directories, such as SkillsMP and GitHub repositories, host community skills but do not support monetization, vetting, or security audits beyond source trust. Major corporations have integrated skills into their products, but these remain siloed, with no cross-surface portability or revenue sharing.
Currently, the ecosystem is characterized by open directories, reference implementations, and community contributions, but lacks a centralized, discoverable platform for commercial deployment or enterprise management. The gap is the absence of a marketplace layer that could facilitate discovery, vetting, security, and monetization, which is seen as a critical missing piece for scaling the ecosystem.
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
Winning Without Persuading: A New Framework for Leading with Curiosity and Story Discovery
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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
Claude Code Skills: Stop Prompting, Start Building Real AI Systems with Custom Commands
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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?”
The Future of Video Platforms: AI, Streaming, and the Next Digital Revolution (Smarter Content Creation & Monetization)
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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 Importance of a Skills Marketplace
The absence of a dedicated skills marketplace limits the ecosystem’s growth potential and the ability of companies to monetize their AI assets. Building such a platform could establish a new revenue stream, enhance security and trust, and accelerate enterprise adoption of AI skills. The companies that develop this marketplace early could gain a defensible position in the AI infrastructure stack, capturing significant value as the ecosystem matures.
Ecosystem Development and Standardization Efforts
Since the publication of the Agent Skills standard in December 2025, the ecosystem has seen rapid adoption of the format across multiple providers. Anthropic, OpenAI, and others have integrated skills into their products, with open directories hosting hundreds of community-developed skills. However, these efforts have focused on discovery and interoperability, not commercialization.
The underlying model landscape is shifting towards interchangeable, model-agnostic artifacts, with skills serving as the portable, reusable units of organizational knowledge and customer-specific judgment. The current ecosystem resembles early app stores before monetization was introduced, highlighting the opportunity for a dedicated marketplace layer.
“The marketplace layer for AI skills does not yet exist, but it is the missing piece that could unlock significant value and scale in the AI ecosystem.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It is still unclear which company or consortium will successfully build and dominate the skills marketplace. Questions remain about security standards, vetting processes, revenue models, and how to ensure cross-surface portability and trust. The timing for widespread adoption and monetization is uncertain, with estimates ranging from 9 to 18 months.
Next Steps for Ecosystem Maturation
Key developments include the potential emergence of dedicated marketplaces, platform providers integrating monetization features, and security standards for enterprise use. Companies that establish a trusted, discoverable, and secure marketplace early could secure a dominant position in the evolving AI infrastructure. Monitoring these developments over the next year will be critical for stakeholders looking to capitalize on this opportunity.
Key Questions
Why is a skills marketplace important?
A dedicated marketplace would enable discovery, security, vetting, and monetization of AI skills, accelerating enterprise adoption and creating new revenue streams.
Who is currently leading the development of this marketplace?
No single company has yet announced a comprehensive marketplace; the ecosystem is still in the standardization and early adoption phase.
When might a skills marketplace become widely available?
Industry estimates suggest it could happen within 9 to 18 months, but timing remains uncertain due to technical and strategic challenges.
What are the main barriers to building this marketplace?
Challenges include establishing security and vetting standards, creating a trusted discovery and ranking system, and developing a sustainable revenue model.
How will a skills marketplace impact AI development?
It could centralize and streamline the deployment of organizational knowledge, enable more secure and scalable AI solutions, and shift value capture from models to organizational artifacts.
Source: ThorstenMeyerAI.com
