Cycling through all six. Tap any point to stop.

Measured on six things

Marketplace for AI agent skills, installable in 30 seconds.

Accessibility

No explicit WCAG or a11y documentation; responsive cards and contrast exist but nothing verified beyond basic layout.

Screenshots

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Agensi

About this app

Agensi is a marketplace for SKILL.md files that give AI coding agents superpowers. Compatible with Claude Code, Cursor, Codex CLI, GitHub Copilot, and 20+ other agents, it lets you browse, purchase, or download free skills for frontend design, testing, DevOps, code review, documentation, productivity, data engineering, API development, and more. Installation takes 30 seconds—just drop a SKILL.md into your project. Skills are a one-time purchase, owned forever. The platform also offers guides and articles on optimizing AI agent workflows.

Key features

1One-time purchase SKILL.md files compatible with 20+ AI coding agents including Claude Code, Cursor, and GitHub Copilot.
2Categorized marketplace (Frontend, Testing, DevOps, Documentation, etc.) with free and paid options owned forever.
3Creator tools, request board, and 80% revenue share with security scanning before listing.

Target customer profile

Drawn from the product itself, not from a survey.

Demographic

Software developers using Claude Code, Cursor, or similar AI coding agents

Pain points

Spending too much time writing custom skills or prompts for repetitive tasks; want faster, more reliable code generation

Primary needs

Pre-built, installable skills that enhance agent capabilities without manual setup

Demographic

DevOps and QA engineers integrating AI into CI/CD pipelines

Pain points

Need automated testing, deployment, and code review skills that work out-of-the-box with existing tools

Primary needs

Skills for Docker, GitHub Actions, testing frameworks, and security auditing

Demographic

Freelance developers and indie hackers building projects quickly

Pain points

Limited time to configure AI agents; want to boost productivity without deep customization

Primary needs

Instant access to skills for boilerplate generation, documentation, and API development

Demographic

AI enthusiasts and skill creators looking to monetize expertise

Pain points

No easy way to package and sell AI agent skills; want a marketplace with built-in audience

Primary needs

Platform to publish, promote, and sell SKILL.md skills with secure payments

Scout Review

Written by AI from measured evidence, scored out of 100.

Agensi fills a clear niche as the go-to SKILL.md marketplace for AI coding agents, offering one-time purchases that integrate seamlessly with existing tools. Strong early momentum and practical usability outweigh average design polish and limited accessibility signals. It competes directly with Smithery and Glama by focusing on the open SKILL.md format and broad agent support rather than MCP servers alone.

Measure by measure

Usability

30-second install across 20+ agents, category browsing, and no-login purchases make it immediately usable; positive Reddit workflow stories confirm low friction.

Design

Clean three-step visual flow and direct pricing CTAs, but cramped skill pills, truncated names, empty whitespace, and placeholder terminal UI hold it back from polished feel.

Speed

No performance complaints or benchmarks; standard marketing site with quick described flows and instant install commands.

Security

Strong header compliance (12/12) plus pre-listing security scans and human review; creator IP fingerprinting adds trust layer beyond basics.

Accessibility

No explicit WCAG or a11y documentation; responsive cards and contrast exist but nothing verified beyond basic layout.

Growth

Rapid early traction: 2k skills and 3k users in three months post-launch, Antler backing, organic Reddit buzz, and steady article output.

Improvement areas

Design polish: reduce cramped UI elements and empty whitespace on homepage.
Accessibility documentation and testing to meet modern standards.
Public security audit or bug bounty program to complement header compliance.

Design & Usability

Agensi delivers a functional marketplace experience centered on quick skill discovery and one-click installs. The three-step homepage flow guides users effectively from browse to purchase, and real-user feedback highlights immediate productivity gains with skills like code review and README generation. Minor design friction from cramped UI elements doesn't block the core value of dropping a SKILL.md file and moving on. Category browsing and agent compatibility lists (20+ tools) make it approachable for developers already using Claude Code or Cursor.

Speed & Security

Performance is unremarkable but adequate for a content marketplace — no reported slowdowns during install flows or browsing. Security stands out with comprehensive HTTP headers and mandatory pre-publication scans, addressing a real pain point in agent skill distribution. The 20% platform fee model with creator protections adds operational trust. While lacking third-party audits, the combination of technical headers and review process positions it ahead of typical indie marketplaces on baseline safety.

Accessibility & Growth

Accessibility receives minimal attention with no published standards or testing claims, typical for early-stage tools but leaving room for improvement on inclusive design. Growth metrics are the standout: launched around March 2026, it hit 2,000 skills, 3,000 users, and strong monthly traffic within three months, backed by Antler and fueled by organic community posts. This trajectory suggests product-market fit in the emerging AI agent tooling space, outpacing many peers in early adoption.

Conclusion

For developers tired of prompt engineering repetitive tasks, Agensi provides ready-made, owned-forever skills that deliver measurable workflow improvements. Its rapid growth signals demand, though maturing design consistency and accessibility would strengthen its position against broader alternatives.

Suggestions for improvement

Tighten skill card layouts and reduce truncation in browse views for better visual scanning.
Add explicit WCAG compliance notes or basic a11y audits to the footer/docs.
Publish a lightweight security audit summary or bug bounty page to build on existing header strength.
Expand creator dashboard with analytics to encourage more listings and sustain growth momentum.

How we score

Alternatives comparison

Named competitors, point by point. Nobody paid to appear here or to be left out.

	Agensi	Smithery	Glama	MCP Marketplace (by Anthropic)
Primary skill format	SKILL.md (open standard)	AI agent skills + MCP servers	AI agent skill packs	Model Context Protocol (MCP) servers
Pricing model	One-time purchase ($5–$50+), own forever; 20% platform fee	Varies by listing (marketplace model)	Varies by skill pack	Official Anthropic-hosted, often free/open
Agent compatibility focus	20+ agents (Claude Code, Cursor, Codex CLI, Copilot, Gemini CLI, etc.)	Broad AI agents + MCP emphasis	Multiple coding agents	Primarily Anthropic MCP ecosystem
Security/review process	Automated scan + human review before listing	Marketplace curation (details vary)	Platform review (details vary)	Official Anthropic standards