SearchTools.ai's automated opinion — blended from public reviews, community signals, and development activity. Not an editorial rating or statement of fact.Click the score for the full breakdown.Quality
Estimated visits per month, across the web app and mobile apps.Visits273.2K/mo
Largest visitor share — 12% of traffic from United States.Top region12%United States

Low confidence — this score is based on limited public data (mostly aggregate ratings, with little independent discussion or review detail), so it may not reflect real-world quality.

What it is

Overview

A collection of 24 pre-built workflow templates that encode senior engineering practices for AI coding agents. Agent-skills sits in the developer tooling category as an MIT-licensed open-source project rather than a traditional AI product. The templates cover code review, debugging, testing, and deployment workflows that development teams can plug into existing AI agents. The 273K monthly visits suggest adoption among software developers and DevOps engineers looking to systematize their AI agent configurations.

At a glance

Usability & Quality overview

Inputs
Outputs
Platforms

Best for

  • coding-agent workflows
  • structured SDLC guidance
  • reusable senior-engineer-style playbooks

Watch out for

  • limited real-user evidence
Real product, not a wrapperIndependent product

The tool encodes senior engineering workflows into reusable skills for AI coding agents, providing workflow automation and development tool integrations that go beyond basic AI chat interfaces.

Moderate evidence
Open source

Quality score

Updated monthlyLow confidence
57/100

agent-skills Production-grade skills for AI coding agents across the SDLC, with limited firsthand user evidence.

Score breakdown
=57/100
User verdict ×50 25Adoption ×22 14Honesty ×16 11Value ×12 8Adjustments -143 to reach 100

This score is our editorial judgment, computed automatically from the sources, weights, and dates shown above. It reflects the data we could verify as of August 15, 2026, not a guarantee or statement of fact about agent-skills. Third-party ratings and quotes belong to their original platforms and authors. Thin data lowers our confidence label, and we say so instead of guessing. Work on agent-skills? Dispute any datapoint and we will review it, publish your response, and correct verified errors.

Plans

Pricing

Pricing modelFree

How free is free?

Genuinely free

MIT licensed open source skills for AI coding agents

What you get for free

  • 24 structured engineering skills for AI agents
  • MIT licensed production-grade skills
  • Available via GitHub and npm installation
  • Works with 70+ coding agents

Community feedback

Aggregated reviews

Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.

What reviewers talk about

themes inside the Sentiment pillar — not score ingredients

76Output Qualitythin data · 5 mentions
Scored from 5 mentions · low confidence
POSITIVE reddit

Been using AI coding agents daily for months now and recently discovered agensi.io, which is basically a marketplace for SKILL.md files. Bought a few, downloaded some free ones, and a handful have genuinely stuck in my rotation. Here are the 5 I keep coming back to: code-reviewer catches things I miss on my own PRs. Anti-patterns, style inconsistencies, security red flags. I run it before every push now and it's saved me from embarrassing commits more than once. env-doctor diagnoses broken dev e

POSITIVE reddit

env doctor alone sounds worth it lol. debugging setups is painful. same thing happens with automation flows once they grow.

POSITIVE reddit

built an agent skill that does something i haven't seen other skills do — instead of helping you write code, it helps you find problems in your specs*before*you write code. the idea: you write a concrete user scenario (persona, goal, failure modes), point it at your spec/design docs, and the skill walks through the scenario step by step, citing which spec governs each behavior and flagging gaps, conflicts, and ambiguities. been calling it "vibe testing" — like vibe coding but for the planning ph

NEGATIVE reddit

As far as I can see this writeup is accurate I am still in the camp that it is best to still do SFT+RL for every new skill instead of just using a markdown file, however if you are going to just use a markdown file then the agents.md convention seems like a decent enough structure

31Ease of Usethin data · 6 mentions
Scored from 6 mentions · low confidence
NEGATIVE reddit

Hey all you Claude power users. I've been working on leveling up my Claude use and that has been going pretty well, but I'm worried that I'm not approaching this the "right" way. I've read a lot about skills but still don't quite understand how to implement those, and I don't understand how they really differ from a custom agent. I do have a CLAUDE.md which i try to keep slim and focused. In the last few weeks I've gone from using the built in "Plan" agent and then moving to the "Agent" agent, a

NEGATIVE reddit

What Happened Agent Skills dropped October 16th. I started building them immediately. Within two weeks, I had a cloudflare skill at 1,131 lines, a shadcn-ui skill at 850 lines, and a nextjs skill at 900 lines, chrome-devtools skill with >1,200 lines. My repo quickly got 400+ stars. But... Every time Claude Code activated multiple related skills, I'd see context window grows dramatically. Loading 5-7 skills meant 5,000-7,000 lines flooding the context window immediately. I thought this was just h

NEGATIVE reddit

If anyone else found this AI slop obnoxious to try and read, here it is rewritten without all of the slop: My first approach to Agent Skills was creating massive 1,000-line files for tools like Cloudflare. The repo got popular fast, but activating multiple skills would flood the context window and grind everything to a halt. For two weeks, I was convinced dumping all the info upfront was the right move. The fix was to break each skill into three parts: a tiny metadata header, a short entry point

NEGATIVE reddit

In general, it’s critical to never allow Claude to think it is writing “documentation” — which it will do by default for any markdown file. It is helpful to instruct it that what it is writing is not documentation, but instead a carefully architected file-based context cache for itself. It has a very strong and persistent bias toward bloating markdown files with trivial examples, obvious and countless examples of what not to do, and beginner/tutorial level fluff or generic and obvious guidance —

Watch & learn

Video content

YouTube
You're probably not using agent skills right YOUTUBE14.8K views

You're probably not using agent skills right

academind1 month ago

Agent Skills GitHub Tutorial: Make AI Coding Agents Follow a Professional Workflow YOUTUBE219 views

Agent Skills GitHub Tutorial: Make AI Coding Agents Follow a Professional Workflow

alexander-hitt1 month ago

I Used Matt Pocock's "Agent Skills"... Are They Actually Good? YOUTUBE457 views

I Used Matt Pocock's "Agent Skills"... Are They Actually Good?

BrandenImmerzeel1 month ago

Capabilities

Key features

Code Assistant

Helps you write, explain, and fix code directly inside your editor

Agent Builder

Builds autonomous AI agents that plan and execute multi-step tasks for you

Developer Tools

Provides utilities that help programmers build, test, and ship software faster

The honest take

What users love & flag

Distinct themes surfaced across user reviews — each grounded in real review text, ranked by how often it comes up.

What users love4
Code review automation catches anti-patterns and security issues
Environment debugging capabilities for development setups
Production-grade engineering workflow encoding
MIT licensed open-source availability
What users flag5
Context window flooding when multiple skills are activated
Overly complex implementation approach
Documentation style perceived as AI-generated and hard to read
Skills files become bloated with unnecessary examples
Difficulty understanding how skills differ from custom agents

Questions

Frequently asked

What is agent-skills?

agent-skills is an open-source tool that provides 24 structured engineering skills to teach AI coding agents senior-level software development practices. It works with 70+ coding agents like Claude, Cursor, and GitHub Copilot to ensure they follow proper workflows from specification writing to production deployment instead of taking shortcuts.

Is agent-skills free to use?

Yes, agent-skills is completely free and open-source under the MIT license. You can install it via a single npm command and access all 24 production-grade skills without any cost.

What are the eight slash commands and what do they do?

The eight commands map to software development phases: /spec for requirements definition, /plan for task breakdown, /build for incremental implementation, /test for verification, /review for quality assurance, /ship for production deployment, /webperf for performance auditing, and /code-simplify for code clarity. Each command automatically loads the appropriate skills for that development phase.

How does the /ship command work differently from other deployment tools?

The /ship command implements a sophisticated parallel review system that fans out to four specialist personas - a code reviewer, security auditor, test engineer, and web performance auditor. Each evaluates the code from their expertise area before merging findings into a single go/no-go decision for deployment.

What coding agents is agent-skills compatible with?

agent-skills works with over 70 AI coding agents including Claude, Cursor, GitHub Copilot, Windsurf, Cline, and many others. It's designed to be broadly compatible across different AI development environments.

How does agent-skills prevent AI agents from skipping engineering best practices?

Each skill contains a table of common excuses agents make to skip proper steps along with inline rebuttals to those excuses. The skills are structured workflows with specific steps, checkpoints, and exit criteria rather than simple prompts that agents can easily rationalize around.

What makes agent-skills different from other AI development tools?

Unlike tools that optimize purely for speed, agent-skills focuses on encoding institutional knowledge and practices that make software reliable in production. It ensures AI agents follow the same rigorous processes that experienced engineering teams use to ship maintainable, secure, and performant software consistently.

What security and performance capabilities does agent-skills provide?

agent-skills includes security-and-hardening skills that follow OWASP Top 10 prevention patterns, and performance-optimization capabilities that target Core Web Vitals metrics. These ensure AI agents consider security vulnerabilities and web performance from the start of development.

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