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.
9.277 de skill-uri din 267 de depozite · actualizat acum 3 minute
560 de skill-uri
- Hunter AutomationComposioHQ/awesome-claude-skillsAutomate Hunter.io email intelligence -- search domains for email addresses, find specific contacts, verify email deliverability, manage leads, and monitor account usage -- using natural language through the Composio MCP integration.PlanificareFără avertismente★ 77,6 K↓ —Apare și în 1 alt depozit
- specification-generationa5c-ai/babysitterConvert requirements into structured technical specifications with architecture decisionsPlanificareFără avertismente★ 1,9 K↓ —
- finishing-worka5c-ai/babysitterFinal completion discipline including summary generation, plan document updates, and confirmation that all success criteria from the original plan are satisfied.PlanificareFără avertismente★ 1,9 K↓ —
- gsd-toolsa5c-ai/babysitterCentral utility skill for GSD operations. Provides config parsing, slug generation, timestamps, path operations, and orchestrates calls to other specialized skills. Acts as the unified entry point that the original gsd-tools.cjs provided via its lib/ modules (commands, config, core, init).PlanificareFără avertismente★ 1,9 K↓ —
- anti-drifta5c-ai/babysitterHierarchical coordination and drift detection with frequent checkpoints, shared memory coherence validation, role specialization enforcement, and short task cycles.PlanificareFără avertismente★ 1,9 K↓ —
- prd-creationa5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationPlanificareFără avertismente★ 1,9 K↓ —
- brainstorminga5c-ai/babysitterClarify vague requirements through exploratory questioning and option generation before committing to research or implementation.PlanificareFără avertismente★ 1,9 K↓ —
- roadmap-managementa5c-ai/babysitterRoadmap parsing, analysis, and mutation operations for ROADMAP.md. Handles phase and milestone lifecycle including add, insert (decimal), remove, complete, and requirements coverage analysis.PlanificareFără avertismente★ 1,9 K↓ —
- verification-suitea5c-ai/babysitterPlan structure validation, phase completeness checks, reference integrity verification, and artifact existence confirmation. Provides the structured verification layer ensuring GSD artifacts are well-formed and complete.PlanificareFără avertismente★ 1,9 K↓ —
- planning-patternsa5c-ai/babysitterStructured planning methodology with research, brainstorming, phased plan creation, risk assessment, and plan-to-build continuity.PlanificareFără avertismente★ 1,9 K↓ —
- spec-creationa5c-ai/babysitterFeature specification creation from codebase research. Produces requirements, acceptance criteria, architecture decisions, implementation plans, and risk analysis.PlanificareFără avertismente★ 1,9 K↓ —
- self-optimizationa5c-ai/babysitterSONA self-optimizing neural architecture with ReasoningBank trajectory learning, EWC++ anti-forgetting, and reinforcement learning feedback loops.PlanificareFără avertismente★ 1,9 K↓ —
- goapa5c-ai/babysitterGoal-Oriented Action Planning skill for world state and action costs.PlanificareFără avertismente★ 1,9 K↓ —
- prd-creationa5c-ai/babysitterBabysitter enforces obedience on agentic workforces and enables them to manage extremely complex tasks and workflows through deterministic, hallucination-free self-orchestrationPlanificareFără avertismente★ 1,9 K↓ —
- spec-executiona5c-ai/babysitter6-phase iterative specification execution workflow covering implementation, testing, review, improvement, commit, and progress tracking with quality-gated convergence.PlanificareFără avertismente★ 1,9 K↓ —
- route-to-openapizebbern/claude-code-guideGenerates RESTful API documentation (OpenAPI 3.0 / Swagger spec) by scanning route definitions in code for Flask, FastAPI, Express, Gin, and other frameworks. Trigger when users ask about API documentation, OpenAPI, Swagger, endpoint docs, generating docs from code, or extracting endpoints.PlanificareFără avertismente★ 4,7 K↓ —
- project-sizing-guidezebbern/claude-code-guideSoftware project effort estimation assistant. Outputs three-point estimates (optimistic/most-likely/pessimistic values with confidence intervals), T-shirt sizes, or Function Point Analysis (FPA) counts. Triggered when users ask 'how long will this feature take,' need to assess project workload, perform PERT estimation, T-shirt sizing, FPA, sprint planning, or quote-based effort breakdowns.PlanificareFără avertismente★ 4,7 K↓ —
- ablation-plannerbrycewang-stanford/Auto-Empirical-Research-SkillsUse when main results pass result-to-claim (claim_supported=yes or partial) and ablation studies are needed for paper submission. Codex designs ablations from a reviewer's perspective, CC reviews feasibility and implements.PlanificareFără avertismente★ 4,7 K↓ —
- jira-driven-planningbreaking-brake/cc-wf-studioJiraチケットの要件とConfluenceの関連ドキュメントを基に、Frontend/Backend/Infrastructureに分割した実装計画を策定するプランニングスキル。Jiraチケット情報とConfluence検索結果が前段で取得済みであることを前提とし、構造化された実装計画を出力する。「プランニング」「実装計画策定」「タスク分割」などの文脈で使用。PlanificareFără avertismente★ 5,4 K↓ —
- brainstormbrycewang-stanford/Auto-Empirical-Research-SkillsUse when starting a new research project, exploring a research idea, deciding whether a question is viable, or before touching code or data for a new paper. Runs a research-focused brainstorm that clarifies research question, identification strategy, data feasibility, and contribution before any implementation.PlanificareFără avertismente★ 4,7 K↓ —
- experiment-planbrycewang-stanford/Auto-Empirical-Research-SkillsTurn a refined research proposal or method idea into a detailed, claim-driven experiment roadmap. Use after `research-refine`, or when the user asks for a detailed experiment plan, ablation matrix, evaluation protocol, run order, compute budget, or paper-ready validation that supports the core problem, novelty, simplicity, and any LLM / VLM / Diffusion / RL-based contribution.PlanificareFără avertismente★ 4,7 K↓ —
- matchmsforyourhealth111-pixel/Vibe-SkillsSpectral similarity and compound identification for metabolomics. Use for comparing mass spectra, computing similarity scores (cosine, modified cosine), and identifying unknown compounds from spectral libraries. Best for metabolite identification, spectral matching, library searching. For full LC-MS/MS proteomics pipelines use pyopenms.PlanificareFără avertismente★ 3,7 K↓ —
- skill-creatorcomposio-community/awesome-codex-skillsGuide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Codex's capabilities with specialized knowledge, workflows, or tool integrations.PlanificareFără avertismente★ 17 K↓ —
- aer-introductionbrycewang-stanford/Auto-Empirical-Research-SkillsUse when drafting or rewriting the introduction of an economics manuscript targeted at AER, AER:Insights, or an AEJ, or when compressing an abstract to the mandatory 100-word limit. Implements the Keith Head / Bellemare five-paragraph formula and AER-specific formatting conventions. Apply after the body sections exist.PlanificareFără avertismente★ 4,7 K↓ —