📊 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 skills exists and multiple reference implementations are available, a dedicated marketplace layer is missing. This creates an opportunity for companies to capture value in AI infrastructure.
Despite the existence of an open standard for AI skills and multiple reference implementations, no dedicated commercial marketplace for AI skills has been established as of May 2026. This gap presents a significant opportunity for companies to capture value in the emerging AI infrastructure layer, which remains largely unbuilt.
In December 2025, Anthropic published the Agent Skills specification as an open standard at agentskills.io. This standard facilitates the creation of portable, interoperable AI skills—configurations that contain instructions and optional scripts, which can be loaded into various AI models such as Claude, GPT, or Llama. Several reference implementations, including Anthropic’s products and OpenAI’s Codex CLI, have adopted this standard, enabling cross-model compatibility.
However, despite the technical groundwork, there is no dedicated marketplace layer akin to an app store where these skills can be discovered, bought, or sold. Current directories like SkillsMP, ClaudeWorld, and GitHub host community-created skills, but these are free and lack monetization, vetting, or enterprise-level security. The absence of a marketplace means that the potential for commercializing and scaling AI skills remains largely unrealized, with no revenue share models or security audits beyond trust in sources.
This situation leaves a significant gap: the infrastructure layer that would enable organizations to package, share, and monetize organizational expertise and procedural knowledge as portable skills has not yet been built. While the standard exists and initial implementations are in place, the marketplace layer remains an unaddressed opportunity.
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
AI Engineering: Building Applications with Foundation Models
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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
ENTERPRISE AI SOLUTIONS WITH GEMINI: Build Secure Cloud-Based AI Applications, Intelligent Workflows, and Scalable Automation Systems
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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 Monetization Mastery(English) : Earning from AI Skills – Build Smart Income Streams Using Artificial Intelligence (Book no:6) (AI Automation Series)
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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 Piece
The absence of a dedicated skills marketplace limits the growth of an AI ecosystem where organizations can easily share and monetize their proprietary skills. Building this layer could enable companies to capture value from their organizational knowledge, create new revenue streams, and foster innovation through shared skill libraries. It also represents a strategic opportunity to establish a defensible position in the evolving AI infrastructure landscape, especially as model and API commoditization accelerates.
Emergence of a Standard and the Missing Marketplace Layer
The open standard for AI skills was established in December 2025, creating a foundation for interoperability across different AI models and platforms. Multiple reference implementations have adopted this standard, demonstrating its viability. Despite this, the marketplace layer—where skills can be actively discovered, licensed, or sold—has not yet materialized. This gap is analogous to the early days of app stores before Apple or Google established dedicated platforms for distribution and monetization.
Historically, the AI industry has focused on model development and API access, leaving the ecosystem layer underdeveloped. The current environment resembles the pre-App Store era, where the infrastructure to facilitate a thriving market for AI skills is still missing. The window for building this marketplace is estimated to be roughly 9 to 18 months, with smaller firms positioned to capture the opportunity.
“The marketplace layer for AI skills does not yet exist, despite the open standard and reference implementations. This is the critical gap that will define the next phase of AI ecosystem development.”
— Thorsten Meyer
Unclear Next Steps and Market Adoption Challenges
It remains uncertain which company or group will successfully build and dominate the skills marketplace layer. Challenges include establishing vetting and security standards, creating sustainable revenue models, and gaining widespread adoption among organizations and developers. The timeline for development and the competitive landscape are still evolving, and it is not yet clear how quickly the marketplace will materialize or who will lead it.
Next Milestones for Building the Skills Marketplace Ecosystem
Over the next 9 to 18 months, startups and established firms are expected to develop dedicated marketplaces, implement security and vetting protocols, and explore monetization models. Industry alliances or standards bodies may emerge to formalize security and quality benchmarks. Watching which companies invest in these platforms and how they gain adoption will be key to understanding the future of AI ecosystem infrastructure.
Key Questions
Why is there no marketplace for AI skills yet?
Although the open standard exists and reference implementations are available, the industry has not yet built a dedicated marketplace layer for discovery, licensing, and monetization of skills. Challenges include establishing standards for vetting, security, and revenue sharing.
Who is most likely to build the first successful skills marketplace?
Smaller firms or startups with a focus on AI ecosystem infrastructure are in a strong position, but established AI companies like Anthropic, OpenAI, or cloud providers could also lead if they prioritize this layer.
What are the main barriers to creating a skills marketplace?
Key barriers include establishing security and trust protocols, creating sustainable monetization models, and achieving broad adoption among organizations and developers.
How will a skills marketplace impact AI development?
A dedicated marketplace could accelerate innovation by enabling organizations to share and monetize proprietary knowledge, foster a more vibrant ecosystem, and create new revenue streams for AI providers and users alike.
Source: ThorstenMeyerAI.com
