📊 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 reference implementations for AI skills exist, a centralized, monetized marketplace has yet to be built. This gap presents an opportunity for companies to establish dominant positions in AI ecosystem infrastructure.
Despite the existence of an open standard for portable AI skills, there is currently no dedicated marketplace layer to discover, verify, or monetize these skills, creating a significant gap in the AI ecosystem infrastructure.
The open standard for AI skills, published by Anthropic in December 2025 at agentskills.io, defines a simple YAML-based format for skills that can be loaded across multiple AI models and platforms. Major players like OpenAI, Anthropic, Microsoft, Google, and Vercel have adopted or integrated this standard into their tools and reference implementations, but no commercial marketplace or app store exists for these skills. Currently, discovery relies on GitHub stars and community word of mouth, with no revenue sharing, vetting, or security auditing pipeline beyond source trust. Skills are free, with no monetization or licensing mechanisms, and cross-surface portability remains limited, as skills uploaded to one platform are not automatically available on others. This fragmentation hampers widespread adoption and the commercial potential of skills as an infrastructure layer. Experts suggest that the next 9 to 18 months will be critical for developing a marketplace that can support discovery, security, and monetization, which could establish a new dominant layer in AI ecosystems.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.
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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 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.
Why a Skills Marketplace Is a Critical Missing Link
The absence of a dedicated marketplace for AI skills limits the ecosystem’s growth, making it difficult for developers, enterprises, and platforms to discover, verify, and monetize skills efficiently. Building this layer could shift value from individual models to an ecosystem of reusable, portable artifacts, enabling new business models and increasing AI adoption across industries. Companies that establish a trusted, secure, and monetized skills marketplace will gain a defensible position in the post-model-commoditization era, where the ability to package organizational knowledge into portable skills could become a key competitive advantage.
The Evolution of AI Skills Infrastructure to Date
Since Anthropic’s publication of the open standard in December 2025, the ecosystem has seen rapid adoption of the format across major AI players. Reference implementations from Anthropic and OpenAI have made skills accessible in their products, but the ecosystem remains fragmented without a centralized marketplace. Existing discovery layers, such as SkillsMP, ClaudeWorld, and GitHub repositories, are community-driven and non-commercial. The standard’s simplicity—using YAML frontmatter and Markdown instructions—makes it accessible for non-engineers but also highlights the lack of formal commercialization, vetting, or security protocols. The industry is still in the early stages of transitioning from a model-centric paradigm to a skills-centric infrastructure, with the marketplace layer yet to be built, representing a critical missing piece in the AI ecosystem.
“The marketplace layer for AI skills does not yet exist, despite the standard and reference implementations being in place. This is the gap that will determine who controls the AI ecosystem in the coming years.”
— Thorsten Meyer
Unresolved Challenges in Building a Skills Marketplace
It remains unclear which company or consortium will successfully develop and dominate the skills marketplace. Key issues such as security vetting, monetization models, cross-surface portability, and enterprise compliance are still unresolved. Additionally, the timeline for widespread adoption and the emergence of a trusted, scalable platform is uncertain, with industry insiders estimating 9 to 18 months for significant progress.
Next Steps Toward a Commercial Skills Ecosystem
Efforts are underway by smaller companies and industry alliances to develop marketplace prototypes that address discovery, security, and monetization. Major AI platform providers are expected to announce or integrate marketplace features within the next year, aiming to establish standards for vetting, revenue sharing, and cross-platform portability. The success of these initiatives will determine which ecosystem gains dominance and how quickly the infrastructure matures.
Key Questions
Why is a marketplace for AI skills important?
A dedicated marketplace would enable easier discovery, verification, and monetization of skills, fostering ecosystem growth and enabling new business models.
Who is likely to build the first successful skills marketplace?
It is currently uncertain, but smaller, agile companies or industry alliances with a focus on security and monetization may lead the way within the next 9–18 months.
What are the main challenges in creating this marketplace?
Key challenges include establishing trust and security protocols, developing cross-surface portability, creating monetization models, and gaining enterprise adoption.
How will a skills marketplace impact AI development?
It could shift value from model providers to ecosystem builders, enabling organizations to package and reuse organizational knowledge efficiently, thus accelerating AI deployment across industries.
Source: ThorstenMeyerAI.com
