📊 Full opportunity report: The Skills Marketplace Nobody Is Building Yet on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
While an open standard and directories for AI skills are in place, a formal, monetized marketplace remains undeveloped. This gap represents a key opportunity for future platform builders.
Despite the existence of an open standard for portable AI skills and multiple community directories, there is currently no dedicated marketplace for these skills, creating a significant gap in the AI ecosystem.
In May 2026, over 140 free AI skills are available across various community directories, with an open standard established at agentskills.io in December 2025. Major companies like Anthropic, OpenAI, Microsoft, Google, and Vercel have published collections of skills and adopted the standard, but no marketplace akin to an app store exists. The current ecosystem relies on discovery via GitHub stars and word of mouth, with no revenue sharing, vetting, or security audit pipeline. Skills are free, and cross-surface portability is limited, as skills uploaded to one platform are not available on others.
While the standard facilitates interoperability, the absence of a dedicated marketplace means there is no centralized platform for discovery, monetization, or security verification. This situation leaves a gap in the AI infrastructure layer that could be exploited by future entrants, potentially shaping the post-model-commoditization AI stack.
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
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.
agentskills.io · Anthropic + OpenAI · Dec 2025AI developer skills directory
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.
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
Develop a Face Recognition Tool with OpenCV: For Security and Verification
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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 Future of Video Platforms: AI, Streaming, and the Next Digital Revolution (Smarter Content Creation & Monetization)
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.
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 Piece
The lack of a dedicated skills marketplace limits the ability for developers and organizations to monetize, discover, and securely share AI skills at scale. Building this marketplace could establish a new platform layer that captures significant value, much like app stores did for mobile ecosystems. Without it, the ecosystem remains fragmented, and the potential for scalable, secure, and monetized skill sharing is unrealized. Companies that establish this marketplace early could secure a dominant position in the evolving AI infrastructure.
The Evolution of AI Skills Infrastructure
Since late 2025, an open standard for AI skills has been in place, enabling interoperability across platforms. Major AI providers have adopted this standard, releasing their own collections of skills and SDKs. Community directories have aggregated hundreds of free skills, but these are discovery tools rather than transactional platforms. Historically, platform ecosystems like app stores or plugin marketplaces have driven value creation and monetization, but no such platform exists for AI skills yet. The current ecosystem is akin to early mobile app markets before the rise of dedicated app stores.
“The standard exists. The marketplace does not. The window is roughly 9–18 months.”
— Thorsten Meyer
Unresolved Challenges in Building the Skills Marketplace
It remains unclear who will take the lead in building a comprehensive, secure, and monetized skills marketplace. Questions about vetting processes, security protocols, revenue sharing, and cross-surface compatibility are still open. Additionally, the regulatory and enterprise compliance frameworks that will govern such a marketplace are not yet defined. The timing and adoption rate of a standardized marketplace platform are also uncertain.
Next Steps Toward a Unified Skills Ecosystem
Key players in AI infrastructure are likely to accelerate efforts to develop a dedicated marketplace within the next 9 to 18 months. Industry consortia, major AI providers, and startups may collaborate or compete to establish standards, security protocols, and monetization models. The first successful, scalable marketplace could become the dominant platform for AI skill sharing, discovery, and monetization. Watching for early pilot programs or platform launches will be critical in the coming months.
Key Questions
Why is there no dedicated marketplace for AI skills yet?
While standards and directories exist, a full marketplace with discovery, security, and monetization features has not been developed, partly due to technical, security, and business model challenges.
Who stands to benefit most from building the skills marketplace?
Early entrants with strong security, vetting, and monetization capabilities could capture significant ecosystem value and establish dominant positions in AI infrastructure.
What are the main obstacles to creating a skills marketplace?
Challenges include establishing trust, security protocols, vetting standards, cross-surface compatibility, and developing sustainable revenue models.
When is a skills marketplace likely to emerge?
Industry experts estimate a window of roughly 9 to 18 months for a scalable, secure, and widely adopted marketplace to materialize.
How would a marketplace change the AI ecosystem?
It would enable scalable discovery, secure sharing, monetization, and standardization, significantly accelerating AI product development and enterprise adoption.
Source: ThorstenMeyerAI.com
