Skill-uri pentru agenți pe care le poți verifica înainte să le instalezi
Skill-uri SKILL.md publice din depozite GitHub cu peste 50 de stele și de la producători, scanate și evaluate. Instalează oricare dintre ele cu o singură comandă în Claude Code, Cursor, Codex, GitHub Copilot sau Gemini CLI.
22.335 de skill-uri din 832 de depozite · actualizat acum 10 minute
4.564 de skill-uri
- SkillAlchemyagentsope/SkillAlchemySkillAlchemy — One thought conceived, one goal achieved. Accept any idea or distillation target and produce an installable SKILL.md. It uses Lens to clarify the problem and LEAP to run distillation or fusion. This is the sole user-facing entry point. Use when the user asks to distill, generate a skill, fuse skills, or says, "I want to build X, but I do not know where to start."AlteleFără avertismente★ 445↓ —
- integration-checkernotque/vexjoy-agentVerify cross-component wiring and data flow.AlteleFără avertismente★ 443↓ —
- dnotque/vexjoy-agentRequest router: picks the agent, skill, and pipeline with /do's rules, then uses Jev to validate the requested outcome and attach extra skills.AlteleFără avertismente★ 443↓ —
- agentsop-llm-engine-selectionagentsope/SkillAlchemyCross-engine decision rubric for self-hosting or recommending an LLM serving stack. Picks among vLLM, SGLang, TensorRT-LLM, TGI, llama.cpp, Ollama, and MLX as a function of (hardware × workload × constraint), not "which is fastest". Activates whenever a coder-agent must choose, defend, or migrate a serving runtime.AlteleFără avertismente★ 445↓ —
- agentsop-framework-selectionagentsope/SkillAlchemyNeutral, framework-agnostic decision tree for project kickoff: "which agent / RAG / LLM framework should I reach for?" Synthesizes the ecosystem sections of 7 landmark-project SOPs (LangGraph, LlamaIndex, DSPy, CrewAI, vLLM, Aider, Dify) into one layered rubric. Core stance: frameworks are LAYERS, not competitors — a real project usually combines DSPy (compile) + LlamaIndex (retrieve) + LangGraph (orchestrate) + vLLM (serve), and you choose ONE per layer, not one to rule all. Use when starting any LLM/agent/RAG project, or whenever the "which framework?" question is asked. Deliberately neutral — unlike vendor docs and the LangChain-biased `framework-selection` on skill.sh, this skill has no horse in the race.AlteleFără avertismente★ 445↓ —
- agentsop-tool-scopingagentsope/SkillAlchemyEnhancement overlay for multi-agent / tool-using coder agents. Encodes the per-agent tool- scoping discipline that role-based frameworks (CrewAI, LangChain) document only as a passing best-practice: which agent gets which tool, and why blanket-sharing every tool to every agent is a correctness and blast-radius risk. Activates when an agent system has tools AND there is more than one agent (or one agent holding many tools). Treat a tool as a capability grant; scope by least-privilege. ENHANCE overlay — read alongside [[crewai]], [[agentsop-http-tool-wrapping]], [[agentsop-llm-tool-idempotency]]. Search keywords: which tools per agent, least-privilege agent, agent tool access, tool permissions, limit agent tools, scope tools to roles.overlay_type: enhancementAlteleFără avertismente★ 445↓ —
- webgl-card-effectsnotque/vexjoy-agentStandalone WebGL fragment shaders for card visual effects: holographic foil, shimmer, rarity glow.AlteleFără avertismente★ 443↓ —
- migrate-skills-between-librariesMoizIbnYousaf/ai-agent-skillsUse when moving skills between library workspaces or upgrading from a personal library to a team library. Export from one workspace, import into another.AlteleFără avertismente★ 1,2 K↓ —
- audit-library-healthMoizIbnYousaf/ai-agent-skillsUse when checking the overall health of a skills library. Run doctor, validate, check for stale skills, and verify generated docs are in sync.AlteleFără avertismente★ 1,2 K↓ —
- build-workspace-docsMoizIbnYousaf/ai-agent-skillsUse when regenerating README.md and WORK_AREAS.md in a managed library workspace. Always dry-run first to preview changes.AlteleFără avertismente★ 1,2 K↓ —
- update-installed-skillsMoizIbnYousaf/ai-agent-skillsUse when syncing or updating previously installed skills to their latest version. Always dry-run updates before applying, and check for breaking changes.AlteleFără avertismente★ 1,2 K↓ —
- llm-application-devMoizIbnYousaf/ai-agent-skillsBuilding applications with Large Language Models - prompt engineering, RAG patterns, and LLM integration. Use for AI-powered features, chatbots, or LLM-based automation.AlteleFără avertismente★ 1,2 K↓ —
- install-from-remote-libraryMoizIbnYousaf/ai-agent-skillsUse when installing skills from a shared ai-agent-skills library repo. Inspect with `--list` first, prefer `--collection`, and preview with `--dry-run` before installing.AlteleFără avertismente★ 1,2 K↓ —
- share-a-libraryMoizIbnYousaf/ai-agent-skillsUse when a managed library is ready to publish to GitHub and hand to teammates as an install command. Run the GitHub publishing steps, then return the exact shareable install command.AlteleFără avertismente★ 1,2 K↓ —
- agentsop-prompt-compilationagentsope/SkillAlchemyThe compile-readiness gate for prompt auto-optimization. Decide whether you have earned the right to run an optimizer (DSPy MIPROv2 / GEPA / BootstrapFewShot) before spending compute. Two preconditions only — a real metric, and enough examples for the optimizer you picked. Garbage metric in, garbage prompt out. Pick the optimizer by data scale; GEPA inverts the scale assumption (~10 examples + textual feedback).AlteleFără avertismente★ 445↓ —
- page-monitoringjamditis/claude-skills-journalismWeb page change detection, availability tracking, and RSS feed generation. Use to monitor changes, downtime, or make a feed.AlteleFără avertismente★ 430↓ —
- agentsop-dspyagentsope/SkillAlchemyOperating SOP for DSPy (Stanford NLP) — the declarative framework for "programming, not prompting" language models. Activate when the user says any of: "use DSPy", "compile a prompt", "optimize prompts/programs", "MIPRO/MIPROv2", "BootstrapFewShot", "GEPA", "Signatures + Modules", "teleprompter", "auto-tune prompts for a different LM", or whenever a brittle hand-crafted prompt pipeline needs to be turned into a *compiled*, measurable, swappable program. Do NOT activate for one-shot prompt tweaks, no-metric exploratory work, or pipelines where prompts must remain human-authored verbatim — use raw prompting or LangChain templates instead.AlteleFără avertismente★ 445↓ —
- using-gcboshu2/agentopsOperate a caller-selected Gas City 1.4 with upstream registry packs and native run-centered surfaces while keeping GC runtime state out of AgentOps verdicts. Triggers: "using gc", "gas city", "drive the mayor", "dispatch through gc".AlteleFără avertismente★ 450↓ —
- thinking-cynefintjboudreaux/cc-thinking-skillsWhen the right response mode is unclear, classify the cause-effect domain first; decompose disorder.AlteleFără avertismente★ 1,7 K↓ —
- shopify-upsell-cross-sellnexscope-ai/eCommerce-SkillsUpsell and cross-sell strategy — product recommendations, cart upsells, post-purchase offers, bundlesAlteleFără avertismente★ 1,2 K↓ —
- digital-archivejamditis/claude-skills-journalismDigital archiving with AI enrichment and entity extraction. Use when building content archives or knowledge graphs.AlteleFără avertismente★ 430↓ —
- ln-45-benchmark-comparatorlevnikolaevich/claude-code-skillsCompares tools or implementations through controlled benchmarks and independent correctness checks.AlteleFără avertismente★ 583↓ —
- ln-44-performance-optimizerlevnikolaevich/claude-code-skillsProfiles and improves a measured performance bottleneck; retains only verified improvements.AlteleFără avertismente★ 583↓ —
- ln-52-delivery-reviewerlevnikolaevich/claude-code-skillsReviews a completed change for acceptance, regressions and release risk; read-only, not a whole-codebase audit.AlteleFără avertismente★ 583↓ —
resource-leveler
datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction
AlteleActualizat acum 5 zile
De la autor
Level and optimize construction resource allocation across project schedule. Balance labor, equipment usage, and avoid overallocation while maintaining critical path.
Instalare
npx skills add datadrivenconstruction/DDC_Skills_for_AI_Agents_in_Construction --skill resource-leveler -a claude-code
Se instalează în .claude/skills/resource-leveler/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Descarcă .zip
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Doar instrucțiuniFolosește rețeauaLicență: MIT
Verificări de siguranță pe SKILL.md
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De ce 86
Securitate100
Proveniență71
Întreținere100
Licență100
Adopție43
Fișiere (3)
- SKILL.md
- claw.json
- instructions.md