📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
A standardized skills ecosystem for AI agents has emerged, with open standards and reference implementations, but a dedicated marketplace with monetization and security is still absent. Industry players are positioned to capture this layer within 9-18 months.
Industry experts have confirmed that a standardized open format for AI skills exists, but a dedicated marketplace platform with monetization, security, and discovery features remains unbuilt as of May 2026.
Since late 2025, an open standard for AI skills has been established at agentskills.io, allowing various AI models like Claude, GPT, and Llama to load portable, configurable skills defined by YAML frontmatter. Major companies such as Anthropic, OpenAI, Microsoft, Google, and Vercel have published or adopted skills collections and reference implementations, creating a foundational ecosystem.
However, despite this technical groundwork, the marketplace layer—where these skills would be discoverable, monetized, vetted, and securely managed—remains absent. Currently, discovery relies on GitHub stars and community word of mouth, with no revenue share, no vetting process, and no cross-surface portability between different AI providers’ APIs. There is also no security pipeline beyond “trust the source,” and no paid skills are available.
Industry insiders suggest that the next 9 to 18 months could see this gap filled by smaller companies positioned to build the marketplace infrastructure, capturing a critical layer of AI ecosystem value. The key challenge remains the absence of a unified platform that supports discovery, security, and monetization at scale.
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
Supply Chain Software Security: AI, IoT, and Application Security
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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.
Implications of a Missing AI Skills Marketplace
The lack of a dedicated marketplace for AI skills limits the ability for organizations to discover, share, and monetize their custom skills, which could slow innovation and reduce competitive differentiation. Building this marketplace could shift value from model providers to organizations that develop proprietary skills, creating a new economic layer in AI infrastructure. It also represents a strategic choke point: whoever controls this layer could dominate the post-model-commoditization era of AI.
Evolution of AI Skills Ecosystem and Standards
Since the open standard was published at agentskills.io in December 2025, multiple companies and communities have adopted it, creating reference implementations and directories. Anthropic, OpenAI, and other tech giants have integrated skills into their products, reinforcing the importance of this layer. Despite these advances, the marketplace remains unbuilt, with discovery and monetization still handled informally or via third-party directories. The ecosystem is at a critical inflection point, with the technical foundation laid but the commercial infrastructure missing.
“The marketplace layer does not exist yet, and that gap is the key to capturing the next wave of AI infrastructure value.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It remains unclear which company or consortium will successfully develop and standardize the marketplace platform, how security and vetting will be managed at scale, and whether monetization models will emerge. The timeline for widespread adoption and the integration with existing AI providers’ APIs are still uncertain.
Next Steps for Ecosystem Development
Over the coming 9 to 18 months, smaller firms and ecosystem players are expected to develop marketplace prototypes, integrate security and vetting processes, and experiment with monetization models. Industry-wide collaboration, perhaps driven by the open standard, could accelerate the creation of a secure, discoverable, and revenue-generating marketplace platform that becomes the new core of AI ecosystem infrastructure.
Key Questions
Why is a skills marketplace important for AI development?
A dedicated marketplace would enable organizations to discover, share, and monetize custom AI skills, fostering innovation, reducing duplication, and creating a new economic layer in AI infrastructure.
Who is positioned to build the first viable AI skills marketplace?
Smaller companies and ecosystem-focused startups are best positioned to develop the marketplace, leveraging open standards and existing community directories to gain early traction.
What are the main challenges in creating this marketplace?
Key challenges include establishing security and vetting protocols, enabling cross-surface portability, creating monetization models, and gaining industry-wide adoption.
When might we see a fully operational AI skills marketplace?
Industry experts estimate that a functional marketplace could emerge within 9 to 18 months, depending on ecosystem collaboration and investment.
How does this gap affect AI users and developers today?
Without a dedicated marketplace, users and developers rely on informal discovery, limiting monetization opportunities and increasing security risks, which could hinder broader ecosystem growth.
Source: ThorstenMeyerAI.com
