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.
49.105 skill-uri din 2.358 de depozite · actualizat acum 18 ore
6.176 de skill-uri
- cm-autopilottody-agent/codymasterEasy-to-use conversational CLI (Claude Code style) for non-technical users to spawn parallel AI tasks supervised by a visual web dashboard.InginerieFără avertismente★ 56↓ —
- thai-text-processingBoom-Vitt/claude-thai-skillsทักษะ Claude Code สำหรับคนไทย — แปล, แคปชั่น, เรซูเม่, จดหมายราชการ, PDPA, ใบกำกับภาษี, PromptPay, เลขบัตร ปชช., วันที่ พ.ศ. — 12 skillsInginerieVerifică întâi★ 58↓ —
- cm-auto-publishertody-agent/codymasterComprehensive publishing automation skill bridging AI agents (OpenClaw, Manus, Claude) to the Content Factory Router. Uses the Router API to publish markdown articles with rich media to any connected Astro site natively.InginerieFără avertismente★ 56↓ —
- dive-into-langgraphluochang212/dive-into-langgraphA comprehensive guide and reference for building agents using LangGraph 1.0, including ReAct agents, state graphs, and tool integrations.InginerieFără avertismente★ 466↓ —
- cli-auditmgifford/accessibility-skillsAudit live URLs using Playwright and Axe combined with WCAG skillsInginerieFără avertismente★ 57↓ —
- cm-clean-codetody-agent/codymasterCode hygiene gate — detect and eliminate dead code, duplicates, naming mess, and code smells. TRIZ-powered. Run after features, before PRs, during debt sprints.InginerieFără avertismente★ 56↓ —
- cm-retro-clitody-agent/codymasterUse at end of sprint to append operational learnings as structured JSONL to the project retro log.InginerieFără avertismente★ 56↓ —
- cm-debuggingtody-agent/codymasterUse when encountering any bug, test failure, or unexpected behavior, before proposing fixesInginerieFără avertismente★ 56↓ —
- awesome-codehuangwb8/skills当用户明确要求使用 awesome-code、进行多代理协作或需要复杂任务规划时使用。它负责拆解任务、选择专业角色、设置门禁并审查结果；所有 Agent 的创建、隔离、串行或并行执行都必须交给 `parallel-vibe`。⚠️ 不适用：用户只需单一角色完成简单修改或咨询，或未表达多代理协作意图。InginerieVerifică întâi★ 50↓ —
- cm-retro-clitody-agent/codymasterUse at end of sprint to append operational learnings as structured JSONL to the project retro log.InginerieFără avertismente★ 56↓ —
- git-workflowmturac/everything-openai-codexGit workflow patterns including branching strategies, commit conventions, merge vs rebase, conflict resolution, and collaborative development best practices for teams of all sizes.InginerieVerifică întâi★ 83↓ —
- cm-code-reviewtody-agent/codymasterFull review lifecycle — request reviews, handle feedback with technical rigor, and complete branch integration. Use when completing tasks, receiving feedback, or finishing feature branches.InginerieFără avertismente★ 56↓ —
- cartridge-forgeTibsfox/gsd-skill-creatorUse when the user asks to forge, scaffold, or author a new cartridge — content cartridge, department cartridge, or chipset bundle. Drives the cartridge-forge loop (scaffold → fill → gate checks → commit) via the skill-creator cartridge CLI.InginerieFără avertismente★ 71↓ —
- cm-retro-clitody-agent/codymasterUse at end of sprint to append operational learnings as structured JSONL to the project retro log.InginerieFără avertismente★ 56↓ —
- cm-clean-codetody-agent/codymasterCode hygiene gate — detect and eliminate dead code, duplicates, naming mess, and code smells. TRIZ-powered. Run after features, before PRs, during debt sprints.InginerieFără avertismente★ 56↓ —
- done-retirementTibsfox/gsd-skill-creatorPipeline retirement protocol for completed work items. Implements a 7-stage validate-commit-push-submit-notify-cleanup-terminate pipeline with irreversibility after push. Done means gone.InginerieFără avertismente★ 71↓ —
- install-bensz-skillshuangwb8/skills当用户需要将生产 Skill 安装或更新到系统级目录，或需要创建、检查、更新统一的 benszapi Conda 运行环境与其中的 BSK 等托管 Python 工具时使用。默认处理 alpha；只有用户明确指定时才处理 beta；支持 72 小时 TTL 到期后的静默增量更新。InginerieVerifică întâi★ 50↓ —
- cm-starttody-agent/codymasterStart the CM Workflow to execute your objective from idea to production code.InginerieFără avertismente★ 56↓ —
- cm-clean-codetody-agent/codymasterCode hygiene gate — detect and eliminate dead code, duplicates, naming mess, and code smells. TRIZ-powered. Run after features, before PRs, during debt sprints.InginerieFără avertismente★ 56↓ —
- cm-retro-clitody-agent/codymasterUse at end of sprint to append operational learnings as structured JSONL to the project retro log.InginerieFără avertismente★ 56↓ —
- skill-integrationTibsfox/gsd-skill-creatorManages skill-creator integration with GSD workflows including skill loading, session observation, bounded learning guardrails, and pattern detection. Use this skill whenever: executing any GSD phase (to ensure relevant skills are loaded first), starting or resuming a work session (to check for pending suggestions), the user asks about skills, patterns, or skill-creator status, performing code changes that might represent repeating patterns, the user corrects Claude's output (highest-signal observation), or when skill refinement, creation, or suggestion review is discussed. Critical for maintaining the adaptive learning layer.InginerieFără avertismente★ 71↓ —
- cm-retro-clitody-agent/codymasterUse at end of sprint to append operational learnings as structured JSONL to the project retro log.InginerieFără avertismente★ 56↓ —
- cm-debuggingtody-agent/codymasterUse when encountering any bug, test failure, or unexpected behavior, before proposing fixesInginerieFără avertismente★ 56↓ —
- scikit-learnKalarisLabs/research-agent-skillsCovers classical machine learning in Python with scikit-learn (sklearn): classification and regression estimators, clustering and dimensionality reduction, preprocessing, Pipeline and ColumnTransformer, cross-validation, metrics, and GridSearchCV hyperparameter tuning. Use when training or comparing classifiers and regressors on tabular or text data, clustering data and choosing the cluster count, building leakage-free preprocessing pipelines, evaluating models with cross-validation and metrics, or tuning hyperparameters. Not for deep learning; use a dedicated neural network framework instead.InginerieFără avertismente★ 88↓ —