Skill rankings
Best coding agents skills for AI agents
Discover skills for code generation, repository analysis, pull-request review, testing, debugging, and agentic software engineering.
Shown: 30 · Candidates: 471
Compare top 4- 01
Agent Skills
Production-grade engineering skills for AI coding agents.
@addyosmaniAgent Skills87,626Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 99/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 02
Webapp Testing
Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.
@anthropicsBrowser Automation180,366Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 97/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 26/100
- 03
Last30days Skill
Research the last 30 days across Reddit, X, YouTube, Hacker News, Polymarket, GitHub, and the web, then synthesize a grounded brief for an AI agent.
@mvanhornResearch63,666Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 96/100
- Quality
- 100/100
- Freshness
- 92/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 22/100
- 04
Frontend Design
Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.
@anthropicsDesign180,366Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 97/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 05
Taste Skill: Anti-Slop Frontend
Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.
@LeonxlnxDesign94,461Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 97/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 06
Canvas Design
Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.
@anthropicsDesign180,366Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 97/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 20/100
- 07
Anthropic Brand Guidelines
Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.
@anthropicsDesign180,366Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 97/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 19/100
- 08
Code Review
Review a branch or diff against repository standards and the originating spec in two independent analysis passes.
@mattpocockCoding168,580Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 28/100
- 09
Reverse Skill
Reverse Engineering / Authorized Penetration Testing / Security Research Skill Router Pack AI-powered routing + On-demand toolchain bootstrapping + Self-evolving knowledge base Supports Claude Code, Kiro, Cursor, Cline, and other AI coding clients 逆向/渗透/安全技能路由包 - AI 自动路由 + 按需自举工具链 + 自动进化经验库 | 支持 Claude Code / Kiro / Cursor / Cline 等代码 AI 客户端
@zhaoxuya520Development25,600Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 88/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 30/100
- 10
Implement
Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.
@mattpocockCoding175,741Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 28/100
- 11
Andrej Karpathy Skills
A single CLAUDE.md file to improve Claude Code behavior, derived from Andrej Karpathy's observations on LLM coding pitfalls.
@multica-aiDevelopment175,191Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 28/100
- 12
Awesome Agent Skills
A curated collection of 1000+ agent skills from official dev teams and the community, compatible with Claude Code, Codex, Gemini CLI, Cursor, and more.
@VoltAgentAgent Skills34,976Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 91/100
- Quality
- 100/100
- Freshness
- 74/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 18/100
- 13
Ranking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 99/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 25/100
- 14
Graphify
A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.
@Graphify-LabsDevelopment91,978Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 99/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 25/100
- 15
Book To Skill
Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.
@virgiliojr94Development27,798Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 21/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 24/100
- 16
Vercel React Best Practices
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
@vercel-labsCoding32,187Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 90/100
- Quality
- 100/100
- Freshness
- 12/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 24/100
- 17
stop-slop
Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.
@hardikpandyaProductivity16,263Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 84/100
- Quality
- 100/100
- Freshness
- 80/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 17/100
- 18
Equity Research Earnings Analysis
Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.
@anthropicsFinance39,310Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 92/100
- Quality
- 100/100
- Freshness
- 61/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- Task fit
- 19/100
- 19
Portfolio Monitoring
Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.
@anthropicsFinance39,310Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 92/100
- Quality
- 100/100
- Freshness
- 61/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 90/100
- Task fit
- 19/100
- 20
Marketingskills
Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.
@coreyhaines31Development40,608Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 92/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 24/100
- 21
Playwright Browser Skill
Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging.
@openaiBrowser Automation27,985Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 35/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 21/100
- 22
Planning With Files
Persistent file-based planning for AI coding agents and long-running agentic tasks. Crash-proof markdown plans that survive context loss and /clear, plus a deterministic completion gate and multi-agent shared state on disk. Manus-style. Works with Claude Code, Codex CLI, Cursor, Kiro, OpenCode and 60+ agents via the SKILL.md standard.
@OthmanAdiAgent Skills26,691Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 32/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 21/100
- 23
Frontend Slides
Create beautiful slides on the web using a coding agent's frontend skills
@zarazhangruiCoding28,772Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 24/100
- 24
Awesome Claude Code
A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic
@hesreallyhimDevelopment49,745Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 94/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 24/100
- 25
Hallmark
Anti-AI-slop design skill for Claude Code, Cursor, and Codex.
@NutlopeDevelopment27,701Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 89/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 24/100
- 26
Antigravity Awesome Skills
A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.
@sickn33Development43,550Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 93/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 24/100
- 27
Open Design
🎨 Local-first, open-source Claude Design alternative. 🖥️ Native desktop app. ⚡ 259+ Skills · ✨ 142+ Design Systems 🖼️ Web · desktop · mobile prototypes · slides · images · videos · HyperFrames 📦 Sandboxed preview · HTML/PDF/PPTX/MP4 export 🤖 Claude Code / OpenClaw / Codex / Cursor / OpenCode / Qwen / Copilot / Hermes / Kimi & 17+ CLIs.
@nexu-ioAgent Skills88,117Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 99/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 22/100
- 28
Caveman
🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman
@JuliusBrusseeDevelopment97,436Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 22/100
- 29
unslop
Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.
@cursorProductivity4,829Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 74/100
- Quality
- 100/100
- Freshness
- 93/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 87/100
- Task fit
- 16/100
- 30
Grill With Docs
A relentless interview that pressure-tests a plan against the codebase, sharpens domain language, and updates CONTEXT.md and ADRs when decisions become durable.
@mattpocockCoding164,748Review before useRanking signals
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
- Popularity
- 100/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 0/100
- Evidence confidence
- 0/100
- Install readiness
- 100/100
- Task fit
- 22/100
A shortlist from up to 480 directory candidates, not the entire registry. Stars belong to repositories. Signals are not safety guarantees or runtime verification.
How this list works
Matches task and source metadata, then considers quality, popularity and freshness. Source descriptions are not execution evidence.
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.











































