📊 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 predictions, the skills marketplace has grown significantly, with over 4,200 skills and 120,000 monthly visitors. However, structural issues like fragmentation and monetization challenges have emerged, complicating the original forecast.
Six months after Thorsten Meyer predicted the rise of a skills marketplace based on the SKILL.md standard, the ecosystem has become a sizable and active industry, with over 4,200 skills listed and 120,000 monthly visitors to marketplace directories.
The marketplace has seen rapid growth, with the directory at claudemarketplaces.com tracking more than 4,200 skills, 770 MCP servers, and over 2,500 marketplaces as of early May 2026. This growth aligns with initial forecasts of 1,000-3,000 skills by mid-2026, with actual numbers at the high end of that range.
Despite the growth, structural issues have surfaced. Skills uploaded to Claude.ai do not automatically sync with API-based uploads, creating a form of surface lock-in. The marketplace landscape is highly fragmented, with at least five competing platforms, including Agensi and Agent37, none of which have achieved clear dominance. Revenue distribution remains winner-takes-most, with top skills capturing most earnings while the long tail struggles.
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.
AI skills marketplace tools
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.

API Design for C++
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.

R For Marketing Research and Analytics (Use R!)
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
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.
cross-platform API connectors
As an affiliate, we earn on qualifying purchases.
As an affiliate, we earn on qualifying purchases.
Implications of Marketplace Fragmentation and Growth
The emergence of a sizable skills marketplace confirms the initial prediction of a new economic layer for AI agents. However, the fragmentation and lock-in issues highlight ongoing challenges for creators, vendors, and enterprises seeking seamless integration and monetization. The top players are benefiting disproportionately, which could influence future platform development and industry consolidation.
Evolution of the Skills Marketplace Ecosystem
In November 2025, Thorsten Meyer forecasted the rise of a skills marketplace driven by the SKILL.md standard, predicting rapid growth and widespread adoption. By May 2026, data confirms that the ecosystem has matured, with thousands of skills listed and multiple platforms competing for dominance. Structural issues such as surface fragmentation—skills uploaded to Claude.ai not syncing with API uploads—were not anticipated, adding complexity to the ecosystem’s development.
“The marketplace has emerged decisively, but it’s messier than expected, with fragmentation and winner-takes-most dynamics shaping the landscape.”
— Thorsten Meyer
Unresolved Challenges and Future Platform Dynamics
It remains unclear how the marketplace will consolidate over time, whether a dominant platform will emerge, and how creators will navigate the fragmentation and lock-in issues that have appeared. The long-term impact of these structural problems on monetization and ecosystem stability is still uncertain.
Next Steps in Marketplace Evolution and Industry Consolidation
The industry is likely to see ongoing platform competition, with potential mergers or standardization efforts to reduce fragmentation. Monitoring the growth of top skills and the development of new monetization models will be key indicators of future stability. Further data collection and analysis will clarify whether the ecosystem can overcome current structural hurdles.
Key Questions
How many skills are currently listed in the marketplace?
As of May 2026, over 4,200 skills are actively listed and verified across various directories.
What are the main structural challenges facing the marketplace?
Surface fragmentation, where skills uploaded to Claude.ai do not sync with API uploads, and the lack of a clear dominant platform, are key issues.
Who are the leading platform players now?
Agensi and Agent37 are the primary paid-skills marketplaces, with several other platforms like ClawdHub and skillsmp.com also active.
Will the marketplace consolidate into a single dominant platform?
It remains uncertain; current trends suggest ongoing fragmentation, but industry consolidation could occur if a clear leader emerges.
How does this affect creators and enterprises?
Creators face challenges in monetization and platform choice, while enterprises need to navigate a fragmented ecosystem to find reliable skills and integrations.
Source: ThorstenMeyerAI.com