📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
Despite the emergence of open standards and reference implementations for AI skills, no dedicated marketplace exists. This gap limits discovery, security, and monetization, leaving a key layer of AI infrastructure unbuilt.
While open standards and reference implementations for AI skills are in place, there is currently no dedicated marketplace layer to facilitate discovery, security, and monetization of these skills, representing a significant gap in the AI infrastructure ecosystem.
As of May 2026, over 140 free AI agent skills are available across community directories, with official standards published by Anthropic and adoption by companies like OpenAI, Microsoft, Google, and Vercel. These skills are defined by a simple, open standard at agentskills.io, which specifies a YAML-based SKILL.md format that enables portability across different AI models and runtimes.
Despite this progress, there is no dedicated marketplace akin to an app store for AI skills. Existing platforms like SkillsMP, ClaudeWorld, and GitHub host discovery but lack monetization, vetting, or security pipelines. Skills are currently free, with no revenue share or verified author controls, and are not cross-surface portable beyond the standard.
This gap means organizations and developers lack a centralized, secure, and scalable way to discover, share, and monetize AI skills, limiting the ecosystem’s growth and the potential for value capture beyond model commoditization.
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.
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 2025The 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
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 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 AI Skills Marketplace
The absence of a dedicated skills marketplace hampers the development of a robust AI ecosystem, constrains security and trust, and limits monetization opportunities for creators. Without a centralized platform, discovery remains fragmented, and organizations cannot easily leverage or exchange skills at scale, potentially slowing innovation and adoption.
This gap represents a strategic vulnerability for companies aiming to build competitive AI products, as the marketplace layer is where customer-specific judgment, organizational expertise, and procedural knowledge are packaged into portable artifacts that create long-term value. The first to establish a secure, scalable marketplace could dominate the post-model-commoditization landscape, capturing significant ecosystem value.
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Progress and Limitations in AI Skills Infrastructure
The current AI skills ecosystem is built on five layers, starting with an open standard published by Anthropic in December 2025, which enables portability of skills across different models and runtimes. Reference implementations from Anthropic and OpenAI, along with community directories like SkillsMP and GitHub, facilitate discovery but do not support monetization or security vetting.
While the open standard and reference implementations are in place, the marketplace layer—where skills could be bought, sold, and securely vetted—is missing. Existing discovery platforms are limited to community sharing without revenue models or enterprise controls. This disconnect leaves a critical gap between the technical standard and commercial ecosystem.
Experts see this as the next major development phase in AI infrastructure, with a window of roughly 9–18 months for a marketplace to emerge and gain traction, likely led by smaller, more agile companies rather than the current tech giants.
“The marketplace layer does not exist yet, and it is the missing piece that will determine who leads in the post-model-commoditization AI economy.”
— Thorsten Meyer
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Unresolved Challenges in Building the Skills Marketplace
It remains unclear which company or consortium will lead the development of the skills marketplace, and whether the ecosystem will adopt a standardized, secure, and monetizable platform within the next 9–18 months. Security, vetting, and revenue models are still under discussion, and regulatory considerations may influence implementation.
Additionally, the level of industry cooperation needed to establish a trusted, open marketplace is uncertain, as competing interests and proprietary concerns could slow progress.
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Next Steps for Ecosystem Development and Adoption
Key industry players are expected to begin piloting marketplace concepts within the next 6 months, focusing on security, vetting, and monetization frameworks. Standardization efforts will likely intensify, and smaller companies may emerge as early leaders due to their agility. Regulatory and security considerations will shape the final ecosystem design, with broader adoption anticipated over the next 12 to 18 months.
Monitoring these developments will be critical for organizations and developers aiming to leverage AI skills at scale and establish competitive advantage in the evolving AI landscape.
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Key Questions
Why is there no dedicated AI skills marketplace yet?
Despite open standards and community directories, a centralized, secure, and monetizable marketplace has not been built due to technical, security, and business model challenges. Companies have yet to establish a trusted platform that supports discovery, vetting, and revenue sharing at scale.
Who is likely to lead the development of the skills marketplace?
It is uncertain, but smaller, agile companies or consortiums are expected to initiate pilot platforms within the next 6 months. Larger tech firms may adopt or acquire emerging solutions as the ecosystem matures over the next 12–18 months.
What are the main barriers to building this marketplace?
Key barriers include establishing security and vetting protocols, creating sustainable revenue models, achieving industry consensus on standards, and addressing regulatory concerns related to trust and proprietary data.
How will a skills marketplace impact AI development?
A dedicated marketplace would enable easier discovery, sharing, and monetization of skills, accelerating innovation, reducing duplication, and enabling organizations to build more customized, secure, and scalable AI solutions.
When can we expect a fully operational skills marketplace?
Industry estimates suggest a 9–18 month window for the emergence of a viable, widely adopted marketplace, with initial pilots and prototypes likely within the next 6 months.
Source: ThorstenMeyerAI.com
