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 are in place, a dedicated marketplace layer has yet to be built. This gap represents a strategic opportunity for companies to capture value in AI infrastructure.
As of May 2026, there is a confirmed open standard for AI skills, but no dedicated marketplace layer exists to host, discover, or monetize these skills, creating a significant gap in the AI ecosystem.
There are over 140 free AI agent skills listed on community platforms, with official standards published by Anthropic and adoption by companies like OpenAI, Microsoft, and Google. Despite this, the marketplace layer—where these skills could be discovered, shared, and monetized—is missing. Currently, skills are hosted on GitHub repositories, community directories, and open-source platforms, but there is no unified marketplace akin to an app store that supports monetization, vetting, or cross-surface portability.
This absence means that, although the infrastructure for creating and standardizing skills exists, there is no central platform to facilitate their commercial deployment or widespread adoption. Skills are free, with no revenue share, and security verification relies on trust rather than formal audits. This limits the ability for organizations to build sustainable ecosystems around their skills, and creates an opening for smaller firms or startups to develop the marketplace layer, which could become a critical component of the AI value chain.
The Skills Marketplace Nobody Is Building Yet
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.
● ANTHROPIC · OPENAI CODEX · CURSOR · ALL ADOPTED THE SPEC
● NO CROSS-SURFACE · CLAUDE.AI ↛ API
● NO REVENUE SHARE · NO PAID SKILLS · YET
● 7 PARTNERS · ATLASSIAN · CANVA · CLOUDFLARE · FIGMA · NOTION · RAMP · SENTRY
● 18-MONTH WINDOW · BUILD-OR-LOSE
● OPEN STANDARD · agentskills.io · DEC 2025
● ANTHROPIC · OPENAI CODEX · CURSOR · ALL ADOPTED THE SPEC
● NO CROSS-SURFACE · CLAUDE.AI ↛ API
● NO REVENUE SHARE · NO PAID SKILLS · YET
● 7 PARTNERS · ATLASSIAN · CANVA · CLOUDFLARE · FIGMA · NOTION · RAMP · SENTRY
● 18-MONTH WINDOW · BUILD-OR-LOSE
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.
name: healthcare-billing-coding
description: Codes ICD-10, CPT, HCPCS from clinical
notes. Use when reviewing encounter
documentation for billing accuracy.
—
# Healthcare Billing & Coding
When the user provides clinical documentation:
1. Extract diagnoses → ICD-10 codes
2. Extract procedures → CPT/HCPCS codes
3. Validate against medical-necessity rules
4. Flag # missing documentation, denial risks
# The skill is the IP. The model is the chip.
# Customer-specific. Portable across runtimes.
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.
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
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.
$ mkdir my-vertical-skill && cd my-vertical-skill
$ touch SKILL.md # YAML frontmatter + instructions
$ git init && git push # public repo · GitHub stars compound
$ publish to claudeskills.info / SkillsMP # discovery now
$ wait for marketplace · 9–18 months # reputation portfolio is the asset
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.
Source dossier · related dispatches
Your AI Vendor’s AI Vendor — Vercel × Context AI
Single Digits — open-weight inflection
AI-Washed — 47.9% / 9% layoff narrative gap
The 27% Problem — Anthropic’s enterprise lead
The Bubble Is Not in Valuations
The Agent Trap — feature vs. infrastructure
The Channel Move — Anthropic × Wall Street
Colophon
Set in IBM Plex Serif, Space Grotesk, & JetBrains Mono. Composed for ThorstenMeyerAI.com, May 2026. Free to embed with attribution.
thorstenmeyerai.com
Why the Missing Marketplace Layer Matters for AI Growth
The lack of a dedicated skills marketplace constrains the development of a vibrant AI ecosystem where skills can be easily discovered, shared, and monetized. Without a marketplace, organizations face barriers to scaling their custom skills, and innovation is limited by discovery friction. Building such a marketplace could enable new revenue streams, foster interoperability, and accelerate AI adoption across industries. The first company to establish a trusted, secure, and scalable marketplace could secure a dominant position in the post-model-commoditization era of AI.
Current State of AI Skills Ecosystem and Missing Infrastructure
By mid-2026, a standard for AI skills has been established via agentskills.io, with multiple reference implementations and community directories. Major AI players like Anthropic, OpenAI, Microsoft, and Google have adopted and integrated the standard into their tools. However, despite these technical foundations, there is no dedicated marketplace platform. Skills are shared via GitHub, community sites, and open directories, but these lack formal monetization, vetting, and discoverability features. The ecosystem remains fragmented, with a clear gap between the standard and a commercial marketplace that could support ongoing growth and adoption.
“The marketplace layer does not exist yet, and this is the gap that companies are poised to fill. Whoever builds it first will hold a strategic advantage in the AI infrastructure stack.”
— Thorsten Meyer
Unresolved Challenges in Building the Skills Marketplace
It is still unclear which organization or consortium will successfully develop and operate the first scalable, secure, and trusted AI skills marketplace. Questions remain about standards enforcement, security verification, monetization models, and cross-surface compatibility. Additionally, the timeline for widespread adoption and the competitive dynamics among potential entrants are still developing.
Next Steps for Developing a Viable Skills Marketplace
Within the next 9 to 18 months, expect startups or existing AI platform providers to attempt launching dedicated skills marketplaces. Key focus areas will include establishing security and vetting protocols, developing discovery and ranking algorithms, and integrating monetization features. Industry stakeholders will watch for early adopters and partnerships that demonstrate scalability and trustworthiness, potentially shaping the future of AI infrastructure.
Key Questions
Why is there no existing skills marketplace yet?
While standards and reference implementations exist, the marketplace layer has not been built due to technical, security, and business challenges. Companies are cautious about vetting, monetization, and cross-platform compatibility, which has delayed the development of a unified marketplace.
Who stands to benefit most from a skills marketplace?
Organizations with proprietary skills, AI platform providers, and startups aiming to facilitate discovery and monetization will benefit. A well-designed marketplace could also attract enterprise clients seeking scalable, secure AI integrations.
What are the main barriers to building this marketplace?
Key barriers include establishing security and vetting protocols, creating effective discovery algorithms, ensuring cross-surface portability, and developing sustainable monetization models. Trust and security remain primary concerns for enterprise adoption.
When might we see a functional AI skills marketplace?
Industry experts estimate that a viable marketplace could emerge within 9 to 18 months, as startups and platform providers begin to address the technical and trust challenges identified.
Source: ThorstenMeyerAI.com