📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
A standardized, open skills layer for AI agents exists, but no dedicated marketplace has been built. This gap presents a strategic opportunity for companies to capture ecosystem value.
While the open standard for portable AI skills has been established and adopted by major players, a dedicated marketplace layer remains absent, creating a significant gap in the AI ecosystem.
In May 2026, over 140 free AI agent skills are available through community directories, and an open standard at agentskills.io has been published, enabling interoperability across different AI platforms. Major companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have published collections of skills or integrated the standard into their tools. Despite this, there is no dedicated marketplace akin to an app store, with no revenue sharing, vetting, or security pipeline beyond basic trust in sources.
The current ecosystem is fragmented: skills are hosted on GitHub, community directories, and partner listings, but discovery is limited to community reputation and stars, with no monetization or cross-surface portability. Skills are free, and there is no formal verification or enterprise compliance pipeline. This leaves a significant gap in the infrastructure needed for scalable, secure, and monetized AI skill distribution.
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
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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?”
Combating Cyberattacks Targeting the AI Ecosystem: Assessing Threats, Risks, and Vulnerabilities
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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 absence of a dedicated marketplace limits the ability for developers and organizations to monetize skills, hampers discoverability, and creates security and trust challenges. Companies that establish a robust, secure, and discoverable skills marketplace could dominate the emerging AI ecosystem, capturing significant value and establishing a defensible position in the post-model-commoditization landscape.
Background of the Skills Ecosystem Development
Since late 2025, an open standard for AI agent skills has been established, enabling interoperability across platforms. Major AI companies have published collections and integrated the standard into their tools, but the marketplace layer—where skills are discoverable, monetized, and securely managed—is still missing. This gap is reminiscent of the early days of app stores, where the infrastructure for distribution and monetization was absent, until platforms like iOS created dedicated marketplaces.
The current ecosystem relies on community directories, GitHub repositories, and partner listings, which are limited in scope. The lack of vetting, security, and monetization mechanisms constrains growth and trust, leaving an open opportunity for new entrants to build a scalable, secure, and profitable marketplace infrastructure.
“The marketplace layer does not exist yet, and that is the gap that companies are poised to fill in the next 9–18 months.”
— Thorsten Meyer
Uncertainties About Market Adoption and Security
It remains unclear which company or consortium will successfully build and dominate the first comprehensive AI skills marketplace. Security, vetting, and monetization pipelines are still in development, and adoption by enterprises and developers is not yet assured. The timeline for a fully operational marketplace is estimated to be between 9 and 18 months, but these projections could shift based on technological, security, or regulatory challenges.
Next Steps for Building the Skills Marketplace
Key developments to watch include the launch of security and vetting pipelines, the establishment of monetization models, and the integration of the marketplace into major AI platforms. Smaller companies and startups are likely to lead initial efforts, aiming to create secure, discoverable, and scalable distribution channels. Industry alliances and standard bodies may also play a role in formalizing governance and interoperability. Expect announcements and pilot programs within the next 9–12 months.
Key Questions
Why is a skills marketplace important for AI development?
A dedicated marketplace enables discoverability, monetization, security, and trust, facilitating broader adoption and innovation in AI applications.
Who is most likely to build the first successful skills marketplace?
Smaller, agile companies or consortiums that can innovate quickly on security, discoverability, and monetization are best positioned in the next 9–18 months.
What are the main challenges in creating this marketplace?
Key challenges include establishing security and vetting pipelines, creating sustainable monetization models, and gaining enterprise trust and adoption.
Will the marketplace be cross-surface compatible?
Ideally, yes. The open standard supports interoperability, but practical cross-surface portability depends on platform cooperation and security protocols, which are still under development.
How will this impact AI companies and users?
A robust marketplace will streamline skill discovery, enable monetization, and foster a more vibrant ecosystem, ultimately benefiting both developers and end-users.
Source: ThorstenMeyerAI.com
