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.
45,433 skills from 2,188 repositories · updated 4 minutes ago
45,433 skills
- prdalirezarezvani/claude-skills380 Claude Code skills & agent skills & plugins (30+ Agents, 70+ custom commands, 380+ skills, customizable references, scripts)for Claude Code, Codex, Gemini CLI, Cursor, and 8 more coding agents — engineering, marketing, product, compliance, C-level advisory, research, business operations, commercial & finance, and your daily productivity skills.PlanningNo warnings★ 28.6K↓ —
- remove-ai-marksguillaumemeyer/watermarks-removerRemove multi-vendor AI provenance marks: invisible Unicode (Layer A), statistical text watermarks via rewrite (Layer B, always offer), and C2PA/EXIF/XMP/container metadata on PNG/JPEG/WebP/SVG/PDF/DOCX/ODT/HTML/MD/TEX. Covers Claude, Gemini/SynthID-class, OpenAI provenance, and open-LLM sampling marks. Use when the user asks to strip watermarks, remove C2PA/Content Credentials, clean AI metadata, remove invisible Unicode, anti-detect clean AI output, or runs /remove-ai-marks (aliases: /remove-claude-marks).DocumentsNo warnings★ 24.8K↓ —
- distillytitanwings/distillySet up the owner profile so a personal agent knows who it works for (first-run setup, "get to know me"), or distill colleague, relationship, or celebrity source material into reusable Person Profiles for agents.OtherNo warnings★ 26K↓ —
- open-prpascalorg/editorOpen or update a pull request on pascalorg/editor from the current branch, describing only what the branch actually did. Use when the user asks to open/create a PR, push and PR, or ship a branch in the editor repo.WritingNo warnings★ 25.1K↓ —
- review-architecturepascalorg/editorReview a PR against the Pascal architectural rules — package boundaries (core/viewer/editor/nodes), the registry-driven composition model (def.geometry / def.renderer / def.system), legacy-dispatch regressions, the slots + world-scale-UV convention for new nodes/geometry, hook hygiene (useEditor/useScene/useViewer), and selector performance. Use when the user asks to review a PR, audit a branch, or check that changes respect the codebase's architecture.PlanningNo warnings★ 25.1K↓ —
- gemini-live-api-devgoogle-gemini/gemini-skillsUse this skill when building real-time, bidirectional streaming applications with the Gemini Live API, or migrating legacy Live models (2.0/2.5/3.1) to Gemini 3.8 Live. Covers WebSocket-based audio/video/text streaming, voice activity detection (VAD), background reasoning (extended thinking), asynchronous function calling, session management, ephemeral tokens, live transcription, and live translation. SDKs covered - google-genai (Python), @google/genai (JavaScript/TypeScript).OfficialEngineeringNo warnings★ 4.3K↓ —
- gemini-api-devgoogle-gemini/gemini-skillsUse this skill when writing code that calls the Gemini API for text generation, multi-turn chat, multimodal understanding, image generation, video generation, speech generation (TTS), voice design, voice replication, streaming responses, background research tasks, function calling, structured output, or migrating from the old generateContent API. Covers SDK usage and best practices for Gemini models and agents in Python and TypeScript.OfficialEngineeringNo warnings★ 4.3K↓ —
- identify-assumptions-newphuryn/pm-skillsIdentify risky assumptions for a new product idea across 8 risk categories including Go-to-Market, Strategy, and Team. Use when evaluating startup risks, assessing a new product concept, or mapping assumptions for a new venture.OtherNo warnings★ 27.3K↓ —
- brainstorm-ideas-existingphuryn/pm-skillsBrainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio.PlanningNo warnings★ 27.3K↓ —
- opportunity-solution-treephuryn/pm-skillsBuild an Opportunity Solution Tree (OST) to structure product discovery — map a desired outcome to opportunities, solutions, and experiments. Based on Teresa Torres' Continuous Discovery Habits. Use when structuring discovery work, mapping opportunities to solutions, or deciding what to build next.OtherNo warnings★ 27.3K↓ —
- add-linearnanocoai/nanoclawAdd Linear channel integration via Chat SDK. Issue comment threads as conversations.OtherNo warnings★ 31K↓ —
- analyze-feature-requestsphuryn/pm-skillsAnalyze and prioritize a list of feature requests by theme, strategic alignment, impact, effort, and risk. Use when reviewing customer feature requests, triaging a backlog, or making prioritization decisions.OtherNo warnings★ 27.3K↓ —
- brainstorm-experiments-newphuryn/pm-skillsDesign lean startup experiments (pretotypes) for a new product. Creates XYZ hypotheses and suggests low-effort validation methods like landing pages, explainer videos, and pre-orders. Use when validating a new product idea, creating pretotypes, or testing market demand.PlanningNo warnings★ 27.3K↓ —
- brainstorm-ideas-newphuryn/pm-skillsBrainstorm feature ideas for a new product in initial discovery from PM, Designer, and Engineer perspectives. Use when starting product discovery for a new product, exploring features for a startup idea, or doing initial ideation.PlanningNo warnings★ 27.3K↓ —
- monetization-strategyphuryn/pm-skillsBrainstorm 3-5 monetization strategies with audience fit, risks, and validation experiments. Use when exploring revenue models, evaluating pricing strategies, or deciding how to monetize a product.PlanningNo warnings★ 27.3K↓ —
- add-discordnanocoai/nanoclawAdd Discord bot channel integration via Chat SDK.OtherNo warnings★ 31K↓ —
- prioritize-assumptionsphuryn/pm-skillsPrioritize assumptions using an Impact × Risk matrix and suggest experiments for each. Use when triaging a list of assumptions, deciding what to test first, or applying the assumption prioritization canvas.TestingNo warnings★ 27.3K↓ —
- brainstorm-experiments-existingphuryn/pm-skillsDesign experiments to test assumptions for an existing product — prototypes, A/B tests, spikes, and other low-effort validation methods. Use when validating assumptions, testing feature ideas cheaply, or planning product experiments.PlanningNo warnings★ 27.3K↓ —
- porters-five-forcesphuryn/pm-skillsPerform Porter's Five Forces analysis — competitive rivalry, supplier power, buyer power, threat of substitutes, and threat of new entrants. Use when analyzing industry dynamics, assessing competitive forces, or evaluating market attractiveness.OtherNo warnings★ 27.3K↓ —
- customer-journey-mapphuryn/pm-skillsCreate an end-to-end customer journey map with stages, touchpoints, emotions, pain points, and opportunities. Use when mapping the customer experience, identifying friction points, improving onboarding, or visualizing the user journey.OtherNo warnings★ 27.3K↓ —
- cognee-servertopoteretes/cogneeUse when the user wants to run the cognee API server (and optional UI) on their own machine — starting it, checking it's healthy, connecting the SDK or other clients to it, and choosing the right auth posture.DesignNo warnings★ 32.7K↓ —
- cognee-installtopoteretes/cogneeUse when the user wants to install cognee and run their first remember → recall flow with the Python SDK — fresh setup, virtual env, extras selection, or a minimal working example.EngineeringNo warnings★ 32.7K↓ —
- prioritize-featuresphuryn/pm-skillsPrioritize a backlog of feature ideas based on impact, effort, risk, and strategic alignment with top 5 recommendations. Use when prioritizing a feature backlog, making scope decisions, or ranking product ideas.OtherNo warnings★ 27.3K↓ —
- cognee-ingestiontopoteretes/cogneeUse when putting data into cognee memory with remember() — choosing inputs (text, files, folders, URLs, repos, databases), datasets and node_sets, loaders, ontologies, the graph extractor (LLM or GLiNER), chunking, dry-run cost estimates, or when remember() raises on a keyword argument.ProductivityNo warnings★ 32.7K↓ —