Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
9,589 skills from 286 repositories · updated 9 minutes ago
649 skills
- router-first-architectureparcadei/Continuous-Claude-v3Router-First ArchitecturePlanningNo warnings★ 3.9K↓ —
- skill-creatorheshengtao/super-agent-partyGuide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.PlanningNo warnings★ 2.7K↓ —
- tldr-deepparcadei/Continuous-Claude-v3Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.PlanningNo warnings★ 3.9K↓ —
- skill-creatorbubbuild/bubGuide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Bub's capabilities with specialized knowledge, workflows, or tool integrations.PlanningNo warnings★ 1.7K↓ —
- codex-skillfeiskyer/claude-code-settingsLeverage OpenAI Codex/GPT models for autonomous code implementation, code review, and plan review. Triggers: "codex", "use gpt", "gpt-5", "let openai", "full-auto", "adversarial review", "second opinion review", "用codex", "让gpt实现", "对抗式审查", "让codex审查计划", "第二意见". Use this skill whenever the user wants to delegate coding tasks to OpenAI models, run code or plan reviews via codex, get a second-opinion review from a different model, or execute tasks in a sandboxed environment.PlanningNo warnings★ 1.7K↓ —
- brainstormingfeiskyer/claude-code-settingsExplore user intent, requirements, and design options through collaborative dialogue before implementation. Use before building new features, components, or systems — whenever the user describes something to build and design decisions are involved. Triggers: "brainstorm", "help me design", "think through the requirements", "头脑风暴", "设计方案", "梳理需求". Not for bug fixes, config changes, or tasks with an obvious implementation path.PlanningNo warnings★ 1.7K↓ —
- c4-architecturesoftaworks/agent-toolkitGenerate architecture documentation using C4 model Mermaid diagrams. Use when asked to create architecture diagrams, document system architecture, visualize software structure, create C4 diagrams, or generate context/container/component/deployment diagrams. Triggers include "architecture diagram", "C4 diagram", "system context", "container diagram", "component diagram", "deployment diagram", "document architecture", "visualize architecture".PlanningNo warnings★ 2.6K↓ —
- geminisoftaworks/agent-toolkitUse when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.PlanningNo warnings★ 2.6K↓ —
- ship-learn-nextsoftaworks/agent-toolkitTransform learning content (like YouTube transcripts, articles, tutorials) into actionable implementation plans using the Ship-Learn-Next framework. Use when user wants to turn advice, lessons, or educational content into concrete action steps, reps, or a learning quest.PlanningNo warnings★ 2.6K↓ —
- excalidrawsoftaworks/agent-toolkitUse when working with *.excalidraw or *.excalidraw.json files, user mentions diagrams/flowcharts, or requests architecture visualization - delegates all Excalidraw operations to subagents to prevent context exhaustion from verbose JSON (single files: 4k-22k tokens, can exceed read limits)PlanningNo warnings★ 2.6K↓ —
- requirements-claritysoftaworks/agent-toolkitClarify ambiguous requirements through focused dialogue before implementation. Use when requirements are unclear, features are complex (>2 days), or involve cross-team coordination. Ask two core questions - Why? (YAGNI check) and Simpler? (KISS check) - to ensure clarity before coding.PlanningNo warnings★ 2.6K↓ —
- improve-architecturerohitg00/pro-workflowAudit an area of the codebase and propose the smallest structural moves that improve it - untangle boundaries, kill duplication, fix seams, break cycles. Produces a prioritized plan and decision records, not a rewrite. Use when a codebase feels tangled, hard to change, or is becoming a ball of mud, or when asked to improve or refactor architecture.PlanningNo warnings★ 2.9K↓ —
- plan-interrogaterohitg00/pro-workflowStress-test a plan by walking its decision tree one question at a time. Use when the user wants to pressure-test a design before implementation.PlanningNo warnings★ 2.9K↓ —
- checkpointpedrohcgs/claude-code-my-workflowSave a structured state snapshot before stopping or handing off. Captures the active plan, recent decisions, file pointers (with line numbers), open questions, and the next 1–3 actions into a checkpoint file under `quality_reports/checkpoints/`. Optionally proposes `[LEARN]` entries to add to MEMORY.md. Use when user says "checkpoint", "save state", "snapshot before I stop", "where am I", "wrap up the session for handoff", or before a long break / model switch / collaborator handoff. Companion to (NOT replacement for) the narrative session-log workflow.PlanningReview first★ 1.7K↓ —
- parabricksNVIDIA/skillsPlan NVIDIA Parabricks pbrun commands, translate CPU options and check runtime readiness. Use for individual tools, including planning-only questions.PlanningNo warnings★ 3.7K↓ —
- reflecting-on-sessionscomposio-community/awesome-claude-pluginsUse when completing a plan, finishing a development branch, wrapping up a session, or at any natural transition between work phases — reviews skill-bus telemetry to identify subscription gaps and suggest improvementsPlanningNo warnings★ 2K↓ —
- stata-replicationbrycewang-stanford/Auto-Empirical-Research-SkillsRun replication, robustness, and specification-sensitivity workflows for Stata projects. Use when a researcher wants to reproduce a result, rerun a pipeline, compare specifications, audit a do-file sequence, or check whether a claim is stable.PlanningNo warnings★ 4.7K↓ —
- skill-card-generatorNVIDIA/skillsUse only to generate or update a governance skill card for a specified existing agent skill directory. Do not use for explaining, listing, comparing, or discussing skill capabilities.PlanningNo warnings★ 3.7K↓ —
- historical-interview-scriptsanbeime/skill自媒体创作者在策划历史名人访谈短视频时，当需要融合古今反差与网络热梗打造爆款，使用本技能可自动生成包含吸睛标题、主持人串词与爆笑问答的完整结构化脚本，轻松产出高传播力的趣味短视频文案。PlanningNo warnings★ 8.5K↓ —
- hsb-flashNVIDIA/skillsFlash the FPGA on an HSB board connected to an NVIDIA devkit. Supports HSB Lattice boards (FPGA versions 2407, 2412, 2507, 2510) and Leopard Imaging VB1940 "all-in-one" cameras (FPGA versions 2507, 2510). Uses release-specific YAML manifests and board-type-specific program commands. Lattice and VB1940 commands must never be mixed.PlanningReview first★ 3.7K↓ —
- product-manager-toolkitanbeime/skill产品经理必备利器！当面临海量需求排期、用户调研分析和PRD撰写等场景时，使用此工具可一键计算RICE得分、自动提炼访谈洞察并快速生成标准PRD文档，大幅提升需求决策与产品交付效率，让规划更科学。PlanningNo warnings★ 8.5K↓ —
- notion-spec-to-implementationPrat011/awesome-llm-skillsTurns product or tech specs into concrete Notion tasks that Claude code can implement. Breaks down spec pages into detailed implementation plans with clear tasks, acceptance criteria, and progress tracking to guide development from requirements to completion.PlanningNo warnings★ 1.8K↓ —
- mermaid-diagrambrycewang-stanford/Auto-Empirical-Research-SkillsGenerate Mermaid diagrams from user requirements. Saves .mmd and .md files to figures/ directory with syntax verification. Supports flowcharts, sequence diagrams, class diagrams, ER diagrams, Gantt charts, and 18 more diagram types.PlanningReview first★ 4.7K↓ —
- llm-councilrohitg00/pro-workflowProvider-agnostic multi-LLM deliberation. Three phases — independent responses, cross-model anonymized ranking, chairman synthesis. Credentials come from explicit plugin configuration or pro-workflow-specific CLI variables. Persists transcript to a wiki page when --wiki <slug> is passed. Use when the user wants multiple AI perspectives, consensus-building, or the "LLM Council" approach for high-stakes reviews, plan critique, or contested learning rules.PlanningNo warnings★ 2.9K↓ —