📊 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 emergence, the skills marketplace has grown significantly, with over 4,200 skills and 120,000 monthly visitors. While cross-agent portability is confirmed, platform fragmentation and revenue concentration remain key issues.
Six months after Thorsten Meyer predicted the rise of a skills marketplace based on the SKILL.md standard, the ecosystem has materialized with over 4,200 verified skills and 120,000 monthly visitors, confirming the core prediction of marketplace emergence.
The skills marketplace has expanded rapidly, with a directory at claudemarketplaces.com listing over 4,200 skills, and more than 770 MCP servers facilitating cross-agent communication. Platforms such as Agensi and Agent37 dominate monetization, with Agensi offering an 80 percent creator revenue share via Stripe, and Agent37 providing hosted access and tooling. Despite the growth, the ecosystem is fragmented: skills uploaded to Claude.ai do not sync with API uploads, creating a surface-level lock-in that the original analysis did not fully anticipate.
Five main platforms currently compete for market share, including Agensi, Agent37, ClawdHub, SkillsMP, and LobeHub, with no clear leader. Revenue distribution is highly concentrated among top skills, with the long tail monetizing poorly. The marketplace is profitable primarily for top creators and platforms, but the overall environment remains complex and uneven.
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 platform
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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.

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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.
creator revenue share platform
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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.

The Journalist’s Toolbox
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Impacts of Structural Fragmentation and Market Concentration
The emergence of a sizable, active skills marketplace confirms the predicted shift towards a platform economy centered on agent skills. However, the fragmentation across multiple platforms and the dominance of top skills highlight ongoing challenges for creators and vendors. This environment influences how enterprises source and deploy AI capabilities, and it underscores the importance of cross-platform compatibility and sustainable monetization models.
Evolution of the Skills Marketplace Ecosystem
Thorsten Meyer’s November 2025 prediction anticipated the rise of a skills marketplace driven by the SKILL.md standard, with initial estimates of 1,000-3,000 skills by mid-2026. Since then, the ecosystem has grown faster than expected, reaching over 4,200 skills and 120,000 visitors by May 2026. The ecosystem features a variety of platforms, each with different monetization and distribution strategies, reflecting a fragmented but active environment. The MCP protocol has facilitated cross-agent portability, but platform-specific limitations persist, affecting user and creator experiences.
Prior to this, the landscape was less defined, with early efforts focused on API-based skill sharing and file sales, which proved to be poor monetization strategies. The current state shows a maturing ecosystem with established marketplaces, although the long tail of less popular skills struggles to generate revenue.
“The marketplace has emerged decisively, but it’s more fragmented and complex than initially predicted.”
— Thorsten Meyer
Unresolved Challenges in Platform Integration and Monetization
It remains unclear how platform fragmentation will evolve, whether consolidation will occur, and how sustainable monetization models will develop for lower-tier skills. The long-term impact of surface lock-in and cross-agent portability is still being evaluated, and the full effects on creator incentives are uncertain.
Future Developments in Marketplace Consolidation and Standards
Expect ongoing platform competition, with potential consolidation among key players. Efforts to improve cross-agent interoperability and more sustainable monetization strategies are likely to emerge. Monitoring how these factors influence creator behavior and enterprise adoption will be critical in the coming months.
Key Questions
How many skills are currently available in the marketplace?
As of May 2026, over 4,200 verified skills are listed across various platforms, with estimates of up to 4,500 in active use.
Are skills uploaded to Claude.ai automatically available via API?
No, skills uploaded to Claude.ai do not sync with API uploads, creating a surface-level lock-in that complicates cross-platform portability.
Which platforms dominate the skills marketplace?
Agensi and Agent37 are currently the leading platforms, with several other competitors such as ClawdHub, SkillsMP, and LobeHub also active but less dominant.
Is monetization effective for most skills?
Monetization is highly concentrated among top skills and platforms; the long tail of less popular skills monetizes poorly, raising concerns about long-term sustainability for creators.
What are the main challenges facing the marketplace?
Fragmentation across platforms, limited cross-agent compatibility, and revenue concentration among top skills are the primary challenges impacting ecosystem growth and creator incentives.
Source: ThorstenMeyerAI.com