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
A collection of 24 MIT-licensed workflow templates that encode senior engineer practices for AI coding agents. Agent-skills breaks down complex development tasks — code review, debugging, test generation — into discrete, reusable components that AI agents can execute without flooding their context windows. The audience pulling 273K monthly visits is software engineers and technical leads who build or customize AI coding workflows rather than use pre-built assistants.
At a glance
This tool offers specialized fine-tuning for developer workflows and automates complex development lifecycle processes. It encodes senior engineering judgment into production-grade skills that go well beyond simple prompt templates.
Strong evidenceQuality score
agent-skills Structured engineering workflows for AI coding agents.
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 6, 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
MIT licensed open source skills for AI coding agents
Community feedback
Ratings and quoted comments below are aggregated from third-party sources and reflect those users' views, not SearchTools.ai's.
themes inside the Sentiment pillar — not score ingredients
“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”
“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”
“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”
“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 —”
“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”
“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”
“The extension installed smoothly and loaded the results very quickly on all five SaaS platforms I tested. I didn't encounter any rendering bugs or errors while opening the popup UI.”
“Skillscout is a great extension! It’s incredibly efficient at scanning websites and instantly fetching the best-matching agent skills. It saves me so much time when searching through skill catalogs. Highly recommended”
“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”
“I recommend this extension; it helps me discover AI agent skills. It's great, very effective—with just one click it gives a good summary.”
“Skillscout is a great extension! It’s incredibly efficient at scanning websites and instantly fetching the best-matching agent skills. It saves me so much time when searching through skill catalogs. Highly recommended”
“The extension was easy to install and worked well on different SaaS websites. The popup loaded quickly and the search results were useful and relevant.”
Watch & learn

Agent Skills GitHub Tutorial: Make AI Coding Agents Follow a Professional Workflow
alexander-hitt19 days ago
Capabilities
Helps you write, explain, and fix code directly inside your editor
Builds autonomous AI agents that plan and execute multi-step tasks for you
Provides utilities that help programmers build, test, and ship software faster
The honest take
Distinct themes surfaced across 11 reviews from 1 source — each grounded in real review text, ranked by how often it comes up.
Questions
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.
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.
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.
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.
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.
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.
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.
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.
More Like This