The Skills Marketplace, Six Months Later: Predicted vs Actual

📊 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, fragmentation, platform proliferation, and revenue concentration complicate the landscape. The ecosystem is profitable mainly for top creators, with ongoing structural issues.

Six months after Thorsten Meyer predicted the emergence of a skills marketplace based on the SKILL.md standard, the ecosystem has indeed materialized, with over 4,200 skills and 120,000 monthly visitors, confirming the core prediction. However, the marketplace’s structure is more complex and fragmented than initially forecasted, with multiple competing platforms and significant surface lock-in issues.

The directory at claudemarketplaces.com, last updated on May 4, 2026, reports 4,200+ actively listed skills, with growth rates of approximately 4-6× per quarter early, slowing to 1.5-2× as the ecosystem matures. The number of MCP servers exceeds 770, indicating widespread adoption of the Model Context Protocol for cross-agent communication. About 2,500 marketplaces, mostly GitHub repositories, are cataloged, though only a subset are meaningful distribution platforms.

Two major platforms, Agensi and Agent37, dominate the monetization landscape, with Agensi offering an 80% creator revenue share via Stripe, and Agent37 providing hosted access and tooling. The marketplace is profitable primarily for top skills, with the long tail generating little revenue. Platform proliferation—more than five competing marketplaces—has resulted in a fragmented environment, with no clear winner yet. Structural issues include surface fragmentation: skills uploaded to Claude.ai do not sync with API-based skills, creating a form of internal lock-in that was not anticipated in the original analysis.

The Skills Marketplace, Six Months Later — Predicted vs Actual
DISPATCH / MAY 2026 SKILLS MARKETPLACE · 6 MONTHS LATER · PREDICTED vs ACTUAL
6-Month Audit 5 of 6 confirmed
Skills Marketplace · Predicted vs Actual

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.

4,200+
Skills indexed · May 2026
claudemarketplaces.com · verified
5/6
Predictions confirmed
1 partial · 3 unanticipated
120K+
Monthly directory visitors
Demand-side ecosystem signal
5+
Competing marketplace platforms
Consolidation pending · 24-36mo
SKILLS 4,200+ INDEXED · 770+ MCP SERVERS · 2,500+ MARKETPLACES · 120K VISITORS AGENSI 80% CREATOR REVENUE · STRIPE · AUTOMATED SECURITY SCANNING AGENT37 HOSTED-ACCESS · RUNTIME + PAYMENTS + ITERATION TOOLING SURFACE FRAG CLAUDE.AI ≠ API ≠ CLAUDE CODE · NO SYNC · STRUCTURAL FRICTION WINNER-TAKES-MOST TOP 5-10 SKILLS PER CATEGORY = 60-80% OF REVENUE SKILLS 4,200+ INDEXED · 770+ MCP SERVERS · 2,500+ MARKETPLACES · 120K VISITORS AGENSI 80% CREATOR REVENUE · STRIPE · AUTOMATED SECURITY SCANNING
Predicted vs actual · 6-month scorecard

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.

Six predictions tested against May 2026 empirical data
Green = confirmed. Amber = partial. Magenta = unanticipated structural fact.
1
Predicted
Marketplace will emerge at scale
Actual
4,200+ skills, 120K monthly visitors. Confirmed at high end of predicted range.
✓ Confirmed
2
Predicted
Cross-agent portability will matter
Actual
SKILL.md works across Claude Code, OpenClaw, Codex CLI, Cursor. Open-format adoption was right call.
✓ Confirmed
3
Predicted
Hosted-access beats file-sales
Actual
~10× revenue advantage. File-sales widely described as “objectively a terrible business model.” Decisive.
✓ Confirmed
4
Predicted
Anthropic will not build payments
Actual
Anthropic shipped format only. Third parties (Agensi, Agent37) filled the gap. Margin discipline as predicted.
✓ Confirmed
5
Predicted
Specialized outsells generic
Actual
5-20× revenue gap. AWS audits, db migration tools, regulatory compliance dominate. Domain expertise is the moat.
✓ Confirmed
6
Predicted
Lock-in will be vendor-light
Actual
Cross-vendor: yes. But surface fragmentation inside Anthropic creates per-surface lock-in. Missed within-vendor dimension.
⚠ Partial
+
Unanticipated
Three structural facts not in original analysis
Reality
5+ competing platforms (no winner yet). Winner-takes-most within categories. MCP servers as parallel ecosystem.
+ New
Directional thesis right. Implementation messier than abstraction. Both facts now part of the operational record.
Platform landscape · May 2026
Amazon

AI skills marketplace platform

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.

Five marketplace platforms · roles + signals
Each addresses a different distribution + monetization need. Consolidation pending.
Platform
Position + mechanics
Type
Signal
AgensiPaid skills marketplace
80% creator revenue via Stripe. Automated security scanning. Closest to Steam-or-App-Store equivalent for SKILL.md.
Transact
Cleaneconomic model
Agent37Hosted-access platform
“Gumroad for Claude skills.” Runtime + payments + entitlements + iteration tooling integrated. Removes install friction.
Transact
Integrationbreadth
claudemarketplacesAggregator directory
120K monthly visitors, last updated May 4. Aggregates skills, MCP, plugins. Sends users to original distribution sources.
Discover
Discoverylayer
LobeHubCross-vendor directory
Vendor-neutral. Indexes Claude + Codex + ChatGPT skills. Includes skill-vetting / security scanners.
Discover
Multi-vendordiscovery
skillsmp.comLargest catalog
Claims 900K+ skills (inflated count incl. duplicates). SEO-driven discovery. Signal-to-noise poor at claimed scale.
Directory
Catalogplay
GitHub-nativeanthropics/skills + repos
Pure distribution, no monetization. “Selling the file” workaround = bad business model. Anthropic’s official path.
Dev-path
Free /open-source
Monetization model economics
Amazon

cross-agent communication tools

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.

Model A · Sell the file
Customer downloads SKILL.md
Pricing$5–200
RecurringNo
IP controlNone
VerdictBad

IP given away at first download. Customer redistributes within team. “Objectively a terrible business model.” Default in GitHub-based distribution.

Model B · Sell the service
Custom deployment per client
Pricing$1.5–5K
RecurringSometimes
IP controlPartial
VerdictMarginal

Returns to hourly consulting economics. Doesn’t scale beyond creator’s individual time. Pre-productization model. The trap skills were supposed to escape.

Model C · Hosted access
Runtime access subscription
Pricing$20–499/mo
RecurringYes
IP controlFull
VerdictScales

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.

What to do this quarter
Amazon

creator monetization platforms

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Four assignments. By role.

Skill Creators

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.

Anthropic

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.

Marketplace Platforms

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.

Enterprise CIOs

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.

Amazon

AI skill development courses

As an affiliate, we earn on qualifying purchases.

As an affiliate, we earn on qualifying purchases.

Implications of Marketplace Fragmentation and Dominance

The emergence of a sizable skills marketplace indicates a shift toward an agent economy, with monetization pathways for creators and enterprises. However, the fragmentation and platform competition mean that creators face challenges in reaching audiences and monetizing effectively outside top-tier skills. For enterprises, the ecosystem offers new integration opportunities but also complexity in choosing platforms and managing lock-in issues. Overall, the ecosystem’s profitability is concentrated among leading skills and platforms, which could influence future platform strategies and creator behaviors.

Evolution of the Skills Marketplace Ecosystem

The initial predictions in November 2025 foresaw a burgeoning skills marketplace driven by the SKILL.md standard, with about 1,000-3,000 skills expected by mid-2026. The actual count has exceeded expectations, reaching over 4,200. The ecosystem has grown rapidly, with early growth rates of 4-6× per quarter, now stabilizing. The landscape includes multiple platforms—Agensi, Agent37, ClawdHub, SkillsMP, LobeHub—each serving different needs, but none having achieved dominance. The structural issues of surface lock-in and platform proliferation were not fully anticipated, complicating the ecosystem’s development.

“The marketplace has emerged decisively, but it’s messier than predicted, with platform fragmentation and structural lock-in issues.”

— Thorsten Meyer

Unresolved Challenges and Structural Limitations

Several issues remain unresolved. The full impact of surface fragmentation—skills uploaded to Claude.ai not syncing with API-based skills—is still being understood. It is also unclear how platform consolidation will evolve, whether a clear leader will emerge, and how monetization will shift as the ecosystem matures. Additionally, the long-term sustainability for smaller creators and the potential for new platform entrants to disrupt existing dynamics are still uncertain.

Future Developments and Ecosystem Consolidation

In the coming months, expect continued growth in skills and platforms, with potential consolidation around leading marketplaces. Monitoring platform strategies, such as efforts to reduce fragmentation or improve interoperability, will be key. Further data on revenue distribution and creator success will clarify whether the ecosystem can sustain diverse participants or remains heavily skewed toward top skills. Regulatory and enterprise adoption trends could also influence platform evolution and lock-in dynamics.

Key Questions

How many skills are currently available in the marketplace?

As of May 2026, over 4,200 skills are actively listed and verified, with estimates suggesting the actual number of production-grade skills ranges between 2,500 and 4,500.

Which platforms dominate the skills marketplace?

Agensi and Agent37 are the leading platforms, with others like ClawdHub, SkillsMP, and LobeHub also active. No single platform has achieved clear dominance yet.

What are the main structural issues facing the marketplace?

Surface fragmentation creates internal lock-in, as skills uploaded to Claude.ai do not sync with API-based skills. Platform proliferation leads to ecosystem fragmentation, complicating discovery and monetization for creators and buyers.

Is the skills marketplace profitable for all creators?

No, profitability is concentrated among top skills and top platforms. The long tail of smaller creators earns little revenue, making the ecosystem skewed toward a few high-performing participants.

What is the outlook for the marketplace’s future?

Expect ongoing growth, potential platform consolidation, and efforts to address fragmentation. The ecosystem may evolve toward more interoperability, but structural issues could persist for some time.

Source: ThorstenMeyerAI.com

You May Also Like

Engineering Is Automated. Research Is the Residual.

Recent developments show AI now automates most engineering tasks, while research capabilities lag behind, raising questions about future AI progress.

The Compounding Error Problem — Why 99.9% Alignment Decays to 60% in 500 Generations

Analysis of how 99.9% alignment accuracy degrades to 60% after 500 generations, highlighting risks in recursive self-improvement.

CTOs Are Escaping

Senior CTOs and technical leaders are shifting from conventional SaaS companies to roles at Anthropic, focusing on model-layer work and AI innovation.

Software engineering. The canonical case.

A comprehensive analysis of recent data shows junior developers face significant displacement, while senior engineers benefit from augmentation, revealing a bifurcated AI impact.