📊 Full opportunity report: The Skills Marketplace, Six Months Later: Predicted vs Actual on ThorstenMeyerAI.com — validation score, market gap, and execution plan.
TL;DR
Six months after its launch, the skills marketplace has grown significantly, with over 4,200 skills and 120,000 monthly visitors. However, fragmentation, lock-in issues, and monetization challenges persist, complicating the original predictions.
Six months after the initial prediction, the skills marketplace based on Anthropic’s agent skills standard has become a tangible, growing ecosystem, with over 4,200 skills listed and 120,000 monthly visitors, confirming the predicted emergence of a marketplace economy.
The directory at claudemarketplaces.com, last updated on May 4, 2026, reports 4,200+ skills, 770+ MCP servers, and over 2,500 marketplaces, primarily GitHub repositories packaged as plugin distributions. Demand remains high, with consistent traffic, indicating a sustained ecosystem.
Two primary platforms, Agensi and Agent37, dominate the market, with Agensi operating as the primary paid-skills marketplace offering an 80% creator revenue share, and Agent37 providing hosted access with integrated payments and iteration tools. Monetization remains concentrated among top skills, with the long tail generating minimal revenue, reflecting winner-takes-most dynamics.
Structural issues have emerged, notably surface fragmentation: skills uploaded to Claude.ai do not automatically sync with API-based uploads, creating a form of internal lock-in that was not anticipated. Additionally, multiple competing platforms—at least five—are vying for market dominance, with no clear leader yet, leading to a fragmented landscape.
The marketplace emerged.
Five of six predictions confirmed. Three structural facts the original analysis didn’t anticipate.
Six months after the original prediction: 4,200+ skills, 770+ MCP servers, 2,500+ marketplaces, 120K monthly visitors. Hosted-access monetization beat file-sales decisively. Cross-agent portability is real (Claude Code, OpenClaw, Codex, Cursor). But surface fragmentation persists. Platform consolidation has not happened. Winner-takes-most economics dominate within categories.
Six predictions. Six outcomes.
The November 2025 prediction said the skills marketplace would emerge as a structural shift. Five of six predictions confirmed empirically. One partial. Plus three structural facts the original analysis did not anticipate.
Five-plus platforms. No clear winner yet.
The marketplace emerged across multiple competing platforms with different distribution and monetization models. The 24-36 month consolidation window has begun. The winner integrates runtime + payments + entitlements + iteration + vendor-neutral distribution.
Three models. One scales.
The original prediction said hosted-access would beat file-sales. The empirical data confirms decisively. Roughly 10× revenue advantage for hosted access over file-sales. Median creator on Agent37: $300-1,500/mo. Top decile: $5-25K/mo. Top percentile: $50K+/mo.
IP given away at first download. Customer redistributes within team. „Objectively a terrible business model.“ Default in GitHub-based distribution.
Returns to hourly consulting economics. Doesn’t scale beyond creator’s individual time. Pre-productization model. The trap skills were supposed to escape.
80%+ margins after $80/mo delivery cost. Iteration enabled by real usage data. Top decile $5-25K/mo. The model that wins.
The directional bet on the marketplace was right. Which platforms, which creators, and which enterprises capture the disproportionate share of the value — the answers will resolve over 2026-2028.
Four assignments. By role.
Pick a subdomain, not a top category.
The category-leading window is closing. Top categories (AWS tooling, db tooling, marketing automation) have established leaders. Target hosted-access (Agent37, Agensi). Test cross-agent on at least two agents. Price on outcomes ($99-499/mo for domain expertise). Plan for median ($300-1,500/mo). Treat top-decile ($5-25K/mo) as upside, not base case.
Ship cross-surface skill sync.
Current friction (Claude.ai vs API vs Claude Code separate deployments) is the largest structural barrier to marketplace growth. Fix is technically straightforward; strategic value substantial. Doing this in 2026 captures more of the marketplace value the company is enabling. Surface-fragmentation is the unfinished business of the skills launch.
Add the dimension you currently lack.
24-36 month consolidation window has begun. Agent37 needs Agensi’s economic clarity. Agensi needs Agent37’s integration breadth. Platform that integrates runtime + payments + entitlements + iteration + vendor-neutral distribution wins. Less integrated platforms become acquisition targets. Move fast.
Audit for reliability, not features.
Reliability premium is real. Pay for documented production track records, not feature breadth. Choose deployment surface deliberately (Claude Code dev / API prod / Claude.ai ad-hoc). Build internal MCP server portfolio for proprietary integrations — this is the integration moat. Cross-agent portable skills are the vendor-concentration hedge.
Implications of a Fragmented, Profitable Ecosystem
The emergence of a profitable skills marketplace confirms the original prediction of a new economy centered around agent skills. However, the fragmentation and structural lock-in present challenges for interoperability, creator monetization, and platform consolidation. The concentration of revenue among top skills risks stifling diversity and innovation, while platform competition could slow standardization and user adoption.
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Evolution of the Skills Marketplace Ecosystem
In November 2025, predictions indicated that a skills marketplace would develop rapidly, driven by the adoption of the SKILL.md standard and cross-agent portability. By May 2026, these predictions have largely materialized, with over 4,200 skills and significant demand. The ecosystem’s growth has followed a pattern of rapid early expansion, slowing as the market matures, with multiple platforms emerging to meet different distribution and monetization needs.
Prior to this, the concept of agent skills as a marketplace was speculative, with initial signs of interest from developers and enterprises. The proliferation of MCP servers and marketplaces indicates active development, but also reveals structural issues like platform fragmentation and lock-in that were not fully anticipated.
„The marketplace has emerged decisively, with over 4,200 skills and 120,000 monthly visitors, but it is more fragmented and complex than initially predicted.“
— Thorsten Meyer
Claude Code Skills & Plugins Cookbook: 50 Practical Recipes for Building, Testing, and Distributing Custom AI Capabilities
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Unresolved Issues and Market Uncertainties
It remains unclear how quickly platform consolidation will occur and whether interoperability issues like surface fragmentation will be resolved. The long-term sustainability of the winner-takes-most revenue model and its impact on creator diversity are also uncertain. Additionally, the pace of new platform emergence and potential regulatory or technological shifts could alter the landscape.
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Future Developments and Market Consolidation
The market is expected to see continued growth in skill listings and platform competition over the next 6-12 months. Efforts toward standardization and interoperability may reduce fragmentation, while top platforms could further dominate revenue share. Monitoring platform strategies, creator behavior, and potential new entrants will be key to understanding the ecosystem’s evolution.
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Key Questions
How many skills are currently available in the marketplace?
As of May 2026, over 4,200 skills are actively listed and verified across various platforms.
Which platforms dominate the skills marketplace?
Agensi and Agent37 are the leading platforms, with several smaller platforms competing for market share.
What are the main structural issues affecting the marketplace?
Surface fragmentation, where skills uploaded to Claude.ai do not sync with API uploads, and platform proliferation, leading to a fragmented landscape with no clear standardization.
Is monetization effective for most skill creators?
Revenues are heavily concentrated among top skills, with the long tail monetizing poorly, indicating winner-takes-most dynamics.
What is the outlook for the next year?
Expect continued growth, platform consolidation efforts, and potential improvements in interoperability, but uncertainties remain regarding long-term sustainability and market structure.
Source: ThorstenMeyerAI.com
