Skill rankings
Best Cursor skills for AI agents
Skills that work well for Cursor-powered coding, frontend implementation, repo exploration, and developer productivity workflows.
Shown: 30 · Candidates: 471
Compare top 4- 01
Vox Director
Turn one topic into a narrated Vox-style paper-collage explainer or ad video, from script through captions.
@Alisa0808Design2,207Review 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
- 67/100
- Quality
- 100/100
- Freshness
- 89/100
- Agent evidence
- 80/100
- Evidence confidence
- 94/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 02
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
- 77/100
- Evidence confidence
- 85/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 03
Web Design Guidelines
Review UI code for web interface guidelines, UX quality, accessibility, and interaction design best practices.
@vercel-labsDesign32,187Review 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
- 77/100
- Evidence confidence
- 83/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 04
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
- 75/100
- Evidence confidence
- 79/100
- Install readiness
- 87/100
- Task fit
- 100/100
- 05
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
- 73/100
- Evidence confidence
- 69/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 06
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
- 69/100
- Evidence confidence
- 94/100
- Install readiness
- 68/100
- Task fit
- 100/100
- 07
Apple Design
Apple's approach to interface design and fluid, physical motion, translated for the web. Use when building or reviewing gesture-driven UI, spring animations, drag/swipe/sheet interactions, momentum and interruptible transitions, translucent materials and depth, typography (optical sizing, tracking, leading), reduced-motion, or the design foundations (feedback, spatial consistency, restraint) behind Apple-style interfaces.
@emilkowalskiDesign34,452Review 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
- 0/100
- Agent evidence
- 69/100
- Evidence confidence
- 60/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 08
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
- 67/100
- Evidence confidence
- 69/100
- Install readiness
- 92/100
- Task fit
- 100/100
- 09
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
- 66/100
- Evidence confidence
- 100/100
- Install readiness
- 68/100
- Task fit
- 100/100
- 10
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
- 61/100
- Evidence confidence
- 49/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 11
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
- 57/100
- Evidence confidence
- 44/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 12
Figma Implement Design
Translate Figma designs into production-ready UI code with close visual fidelity and component-level detail.
@openaiDesign27,985Review 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
- 57/100
- Evidence confidence
- 44/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 13
Understand Anything
Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more.
@Egonex-AIRag Knowledge75,065Review 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
- 98/100
- Quality
- 100/100
- Freshness
- 0/100
- Agent evidence
- 57/100
- Evidence confidence
- 44/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 14
Seedance 2.0 Prompt Writing
Write precise Seedance 2.0 prompts for multimodal video, camera movement, editing, music, and product storytelling.
@dexhunterDesign4,244Review 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
- 73/100
- Quality
- 100/100
- Freshness
- 57/100
- Agent evidence
- 51/100
- Evidence confidence
- 37/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 15
Animation Vocabulary
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
@emilkowalskiDesign16,544Review 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
- 0/100
- Agent evidence
- 51/100
- Evidence confidence
- 22/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 16
Humanizer
Rewrites AI-sounding text so it reads naturally while preserving every factual claim and matching the writer's voice.
@bladerProductivity37,414Review 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
- 50/100
- Evidence confidence
- 31/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 17
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
- 50/100
- Evidence confidence
- 31/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 18
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
- 47/100
- Evidence confidence
- 38/100
- Install readiness
- 92/100
- Task fit
- 100/100
- 19
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
- 46/100
- Evidence confidence
- 57/100
- Install readiness
- 84/100
- Task fit
- 100/100
- 20
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
- 42/100
- Evidence confidence
- 22/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 21
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
- 42/100
- Evidence confidence
- 22/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 22
no-ai-slop
Audits or minimally edits drafts to remove named AI-writing patterns without flattening the author's voice.
@petergyangProductivity5,828Review 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
- 75/100
- Quality
- 100/100
- Freshness
- 20/100
- Agent evidence
- 42/100
- Evidence confidence
- 22/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 23
Scientific Agent Skills
Turn any AI agent into an AI Scientist. The #1 Agent Skills library for science, used by 160,000+ scientists worldwide. 140 ready-to-use skills plus 100+ scientific databases covering biology, chemistry, medicine, and drug discovery. Compatible with Cursor, Claude Code, Codex, Pi, Antigravity, and the open Agent Skills standard.
@K-Dense-AIData Analysis33,491Review 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
- 0/100
- Agent evidence
- 42/100
- Evidence confidence
- 22/100
- Install readiness
- 100/100
- Task fit
- 100/100
- 24
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
- 37/100
- Evidence confidence
- 31/100
- Install readiness
- 88/100
- Task fit
- 100/100
- 25
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
- 24/100
- Evidence confidence
- 22/100
- Install readiness
- 92/100
- Task fit
- 100/100
- 26
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
- 100/100
- 27
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
- 100/100
- 28
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
- 100/100
- 29
Deploy to Vercel
Deploy applications and websites to Vercel, including preview deployments and shareable deployment links.
@vercel-labsDevops32,187Review 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
- 100/100
- 30
To Tickets
Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.
@mattpocockCoding176,665Review 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
- 100/100
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
Uses explicit platform mentions or inferred task fit, plus quality and outcome evidence. Inferred compatibility is not a runtime test.
Signals use a 0–100 scale. They explain the shortlist; the ordering follows this list’s method, not any one score.
30-day snapshot data