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
  1. 01

    Agent Skills

    Production-grade engineering skills for AI coding agents.

    @addyosmaniAgent Skills87,626
    Review before use
    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
    100/100
  2. 02

    Webapp Testing

    Use Playwright to interact with and test local web applications, capture screenshots, debug UI behavior, and inspect browser logs.

    @anthropicsBrowser Automation180,366
    Review before use
    Ranking 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
  3. 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.

    @mvanhornResearch63,666
    Review before use
    Ranking 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
  4. 04

    Frontend Design

    Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.

    @anthropicsDesign180,366
    Review before use
    Ranking 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
  5. 05

    Taste Skill: Anti-Slop Frontend

    Design and implementation guidance for distinctive landing pages, portfolios, product demos, and purposeful redesigns.

    @LeonxlnxDesign94,461
    Review before use
    Ranking 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
  6. 06

    Canvas Design

    Create original visual art, posters, PNG assets, and PDF documents through a clear design philosophy.

    @anthropicsDesign180,366
    Review before use
    Ranking 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
  7. 07

    Anthropic Brand Guidelines

    Apply Anthropic official brand colors, typography, and visual standards to appropriate Anthropic-related artifacts.

    @anthropicsDesign180,366
    Review before use
    Ranking 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
  8. 08

    Code Review

    Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

    @mattpocockCoding168,580
    Review before use
    Ranking 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
  9. 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

    @zhaoxuya520Development25,600
    Review before use
    Ranking 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. 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.

    @mattpocockCoding175,741
    Review before use
    Ranking 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. 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-aiDevelopment175,191
    Review before use
    Ranking 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. 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 Skills34,976
    Review before use
    Ranking 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. 13

    Codex

    Lightweight coding agent that runs in your terminal

    @openaiCoding91,367
    Review before use
    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. 14

    Graphify

    A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.

    @Graphify-LabsDevelopment91,978
    Review before use
    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
  15. 15

    Book To Skill

    Turn any technical book PDF into a Claude Code skill — ready to study, reference, and use while you work.

    @virgiliojr94Development27,798
    Review before use
    Ranking 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. 16

    Vercel React Best Practices

    React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.

    @vercel-labsCoding32,187
    Review before use
    Ranking 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. 17

    stop-slop

    Eliminates predictable AI writing patterns from prose while preserving specific meaning and reader trust.

    @hardikpandyaProductivity16,263
    Review before use
    Ranking 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. 18

    Equity Research Earnings Analysis

    Create a structured post-earnings equity research update with key metrics, estimate changes, charts, and thesis review.

    @anthropicsFinance39,310
    Review before use
    Ranking 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. 19

    Portfolio Monitoring

    Review portfolio-company financial packages, flag variance to plan, and prepare monitored KPI summaries.

    @anthropicsFinance39,310
    Review before use
    Ranking 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. 20

    Marketingskills

    Marketing skills for Claude Code and AI agents. CRO, copywriting, SEO, analytics, and growth engineering.

    @coreyhaines31Development40,608
    Review before use
    Ranking 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. 21

    Playwright Browser Skill

    Automate a real browser from the terminal for navigation, form filling, snapshots, screenshots, extraction, and UI-flow debugging.

    @openaiBrowser Automation27,985
    Review before use
    Ranking 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. 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 Skills26,691
    Review before use
    Ranking 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. 23

    Frontend Slides

    Create beautiful slides on the web using a coding agent's frontend skills

    @zarazhangruiCoding28,772
    Review before use
    Ranking 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. 24

    Awesome Claude Code

    A curated list of awesome skills, hooks, slash-commands, agent orchestrators, applications, and plugins for Claude Code by Anthropic

    @hesreallyhimDevelopment49,745
    Review before use
    Ranking 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. 25

    Hallmark

    Anti-AI-slop design skill for Claude Code, Cursor, and Codex.

    @NutlopeDevelopment27,701
    Review before use
    Ranking 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. 26

    Antigravity Awesome Skills

    A comprehensive library of over 1,273 agentic skills for various AI coding assistants, featuring clear documentation and installation instructions.

    @sickn33Development43,550
    Review before use
    Ranking 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. 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 Skills88,117
    Review before use
    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
    22/100
  28. 28

    Caveman

    🪨 why use many token when few token do trick — Claude Code skill that cuts 65% of tokens by talking like caveman

    @JuliusBrusseeDevelopment97,436
    Review before use
    Ranking 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. 29

    unslop

    Applies Cursor's prose-discipline rules to remove filler and AI writing tells from agent-facing and user-facing text.

    @cursorProductivity4,829
    Review before use
    Ranking 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. 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.

    @mattpocockCoding164,748
    Review before use
    Ranking 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.