The Skills Marketplace Nobody Is Building Yet

📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.

TL;DR

An open standard for portable AI skills has been established, but no dedicated marketplace exists yet. This gap represents a key opportunity for ecosystem development and value capture.

While an open standard for AI agent skills has been established and several reference implementations exist, there is currently no dedicated marketplace platform to host, discover, or monetize these skills. This gap leaves the ecosystem fragmented and limits the potential for widespread adoption and value capture, making it a critical development to watch.

In December 2025, Anthropic published the Agent Skills standard at agentskills.io, creating a common format for portable AI skills. This standard, adopted by OpenAI’s Codex CLI and other major players, enables skills to be shared across different models and runtimes, with the core format comprising YAML frontmatter, instructions, and optional scripts. Despite this progress, there is no dedicated marketplace akin to an app store for AI skills, with no revenue sharing, vetting, or discovery mechanisms beyond GitHub stars and word of mouth. The existing ecosystem includes free directories such as SkillsMP, ClaudeWorld, and GitHub repositories, but these are discovery layers, not capture or monetization platforms. The industry is at a pivotal point: the infrastructure for portable skills exists, but the marketplace layer that would facilitate discovery, trust, and commercial activity has yet to be built. This represents a significant opportunity for smaller players to establish a defensible position, as the standard provides a foundation for a new ecosystem that could reshape AI application deployment and monetization.

The Skills Marketplace Nobody Is Building Yet
DISPATCH / MAY 2026 SKILLS MARKETPLACE · PLATFORM LAYER · 18-MONTH WINDOW

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.

140+
Free skills · live today
Across SkillsMP, ClaudeWorld, GitHub
17
Anthropic official · Apache 2.0
Document, design, MCP, comms
5
Capture gaps · unsolved
Portability · trust · revenue · etc.
0
Paid skills
No revenue share exists
The unit · what a skill actually is

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.

healthcare-billing-coding/SKILL.md
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 five layers · what’s built · what’s not
Amazon

AI skills marketplace platform

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

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.

Skills ecosystem · May 2026
Built layers (green) · partial (amber) · capture gaps (red).
Open standard
agentskills.io · Anthropic + OpenAI · Dec 2025
Built
Reference implementations
Claude.ai · Claude Code · Codex CLI · ChatGPT · Agent SDK
Built
Free directories
SkillsMP · ClaudeWorld · claudeskills.info · 140+ free skills
Built
Partner curation
Atlassian · Canva · Cloudflare · Figma · Notion · Ramp · Sentry
Built
±
Enterprise admin tooling
Team/Enterprise admins control provisioning · no SIEM yet
Partial
The five capture gaps where a marketplace gets built
Cross-surface portability
Claude.ai ↛ API · Code ↛ .ai · per-surface re-upload required today
Gap
Author verification & security audit
“Trust the source” is the current architecture. After Vercel, this matters.
Gap
Revenue share for skill authors
No paid skill exists. The 50,000th skill author needs 70/30 to write at scale.
Gap
Discovery & ranking
GitHub stars + community curation. No usage telemetry. No editorial signal.
Gap
Enterprise compliance & audit trail
No SOC 2 attestation per skill · no centralized incident response · no SIEM
Gap
Why the labs won’t build it · structural
Amazon

AI agent skills discovery tool

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

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.

Anthropic / OpenAI

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
A neutral marketplace

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
Who builds it · three realistic candidates
AI Monetization Mastery(English) : Earning from AI Skills – Build Smart Income Streams Using Artificial Intelligence (Book no:6) (AI Automation Series)

AI Monetization Mastery(English) : Earning from AI Skills – Build Smart Income Streams Using Artificial Intelligence (Book no:6) (AI Automation Series)

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Smaller than you assumed. Closer than you think.

Candidate 01
A focused new entrant.

~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.

Highest probability
Horizontal market
Candidate 02
Developer-tooling incumbent.

GitHub (= Microsoft, conflict). Cursor. Replit. Linear. The most legible path is “GitHub Skills” — but Microsoft competes at the model layer, reproducing the original problem.

Distribution advantage
Acquisition target
Candidate 03
Vertical-to-horizontal.

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?”

Regulated verticals
Trust moat
For skill authors · the move now
Technical Innovation, solving the Data Spaces and Marketplaces Interoperability Problems for the Global Data-Driven Economy (River Publishers Series ... and Information Science and Technology)

Technical Innovation, solving the Data Spaces and Marketplaces Interoperability Problems for the Global Data-Driven Economy (River Publishers Series … and Information Science and Technology)

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

The 2026 H2 author looks like the 2007 YouTube creator.

Author playbook · the early window

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.

# Five steps. Six months. Position before the market. $ 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
Early-mover advantage when the marketplace ships is real and asymmetric. GitHub stars compound into discoverable authorship.

The directory exists. The marketplace doesn’t. Whoever builds it captures the most defensible position in the post-model AI stack.

What to do this quarter

Four assignments. By role.

Engineers & Specialists

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.

Founders

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.

Enterprise CIOs

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.

Dev-Tool Cos

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 Piece

The absence of a dedicated skills marketplace limits the ecosystem’s growth potential, hindering discovery, vetting, and monetization of AI skills. Without a platform, organizations and developers cannot easily share, trust, or monetize their skills, which slows innovation and adoption. Building this layer could unlock new revenue streams, enable organizational control over proprietary skills, and foster a vibrant ecosystem that extends the value of AI models beyond simple APIs. Smaller companies and startups are positioned to capitalize on this opportunity, potentially establishing a competitive advantage as the industry matures.

Progress and Gaps in the AI Skills Ecosystem

Since the open standard was published in December 2025, multiple reference implementations and directories have emerged, but these are primarily discovery tools without monetization capabilities. Major AI companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have published skills collections and adopted the standard within their tooling. However, the marketplace layer—where skills can be hosted, discovered, and monetized—is still absent. The ecosystem resembles the early days of app stores before the launch of Apple’s App Store: the infrastructure exists, but the platform to connect creators and users is missing. Industry insiders suggest that the next 9 to 18 months will be critical for building this marketplace, which could become the dominant layer in the AI stack for enterprise and consumer applications.

“The standard exists. The marketplace does not. The window to build it is roughly 9 to 18 months.”

— Thorsten Meyer

Unresolved Challenges in Building the Skills Marketplace

It remains unclear which company or consortium will lead the development of the marketplace platform, or whether it will be built by a single entity or a coalition. Additionally, questions about security, vetting, monetization, and cross-surface compatibility are still open. The regulatory and enterprise compliance requirements for such a marketplace are also not yet defined, creating uncertainty about how quickly and widely it will be adopted.

Next Steps Toward a Functional Skills Marketplace

Key industry players are expected to begin investing in marketplace infrastructure over the next 9 to 18 months, with potential pilot platforms emerging from smaller firms or open-source communities. Major AI companies may also collaborate or develop proprietary solutions. The focus will likely be on establishing security protocols, vetting mechanisms, and discovery features. Monitoring these developments will be crucial to understanding how the ecosystem will evolve and which players will emerge as leaders in this space.

Key Questions

Why is there no marketplace for AI skills yet?

While the open standard for portable AI skills exists, a dedicated marketplace platform has not been built due to technical, security, and commercial challenges, and the lack of a clear industry leader to drive its development.

Who benefits most from a skills marketplace?

Developers, organizations with proprietary skills, and AI platform providers stand to benefit by enabling discovery, trust, and monetization, which can accelerate innovation and adoption.

When is a marketplace likely to emerge?

Industry sources suggest that a functional marketplace could be built within the next 9 to 18 months, with initial pilots and prototypes already in development.

What are the main challenges to building this marketplace?

Key challenges include establishing security and vetting protocols, ensuring cross-surface portability, creating discovery and ranking mechanisms, and developing a sustainable revenue model.

Source: ThorstenMeyerAI.com

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