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.
49.409 skill-uri din 2.375 de depozite · actualizat acum 4 ore
49.409 skill-uri
- learn-from-materialsdmoshehun-prog/learn-from-materialsTurn books, PDFs, slides, documents, web pages and text into a source-grounded knowledge base, interactive learning HTML and Markdown in English or Chinese. Use for learning, summaries, explanations, review, quizzes, relationship maps, saving reusable methodology files, retrieving or comparing accumulated methods, and applying them to a real problem. 将材料转为可追溯知识库与交互学习页，支持中英文、关系图、方法论保存/检索/比较及应用；区分材料依据、推断与外部核验。DocumenteFără avertismente★ 1,3 K↓ —
- handoffalirezarezvani/claude-skillsCompact the current conversation into a handoff document for another agent to pick up, referencing existing artifacts (PRDs, plans, ADRs, issues, commits, diffs) by path or URL instead of duplicating them. Use whenever the user wants to hand off to a fresh agent, is ending a session mid-task, asks for a handoff doc or a summary of state, decisions and next steps for the next session, or starts a new session that picks up prior work.PlanificareFără avertismente★ 29,2 K↓ —
- os-step-by-stepkharmanskyi/open-stepsALWAYS invoke this skill when you need the user to act - run a command, paste a secret, click, approve - and whenever they ask how to do something or say they do not know what to do: "step by step", "walk me through it", "what do I do", "what should I do", "I don't understand what to do", "explain what I need to do", in any language. Picking which task comes next is os-whats-next; this skill is for doing the thing in front of you. First earn the ask: try it yourself, find another route, shrink it to the part only they can do. Then one action per step, commands labelled by what they touch, no jargon. Commands are single lines that prompt for any value - typing hidden for secrets - and confirm in plain words. Afterwards verify their step.ProductivitateFără avertismente★ 1,3 K↓ —
- ai-model-wechatActualizatTencentCloudBase/CloudBase-AI-ToolkitUse this skill for WeChat Mini Program AI via wx.cloud.extend.AI (小程序, wx.cloud apps). Covers generateText and streamText with callbacks (onText, onEvent, onFinish); streamText needs a data wrapper, generateText returns the raw response. Models via wx.cloud.extend.AI.createModel with groups cloudbase (main managed, also 小程序成长计划 with `hy3`), the legacy hunyuan-v3 / hunyuan-exp, or custom-*; model id goes in the data wrapper `model` field. MUST run two-step preflight before code — see body. NOT for browser/Web (use ai-model-web), Node.js backend (use ai-model-nodejs), or image generation (use ai-model-nodejs).BrowserFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- commercial-policyalirezarezvani/claude-skillsUse when writing or revising discount rules: discount matrix, approver thresholds, exception flows and the deal framework sales works under. Builds the matrix with discount_matrix_builder.py, routes exceptions with exception_router.py and checks the policy with policy_linter.py.RedactareFără avertismente★ 29,2 K↓ —
- cloudbase-declarative-deployActualizatTencentCloudBase/CloudBase-AI-ToolkitCloudBase declarative deployment from a cloudbaserc config (声明式部署, 配置式部署, cloudbaserc 部署) through the deployBuild / deployPlan / deployApply MCP tools. Use when deploying database, functions, app, hosting, or gateway resources described in cloudbaserc.json/yaml as a single desired-state config, when a user wants to build static hosting artifacts locally first (deployBuild), or wants a dry-run plan before applying (deployPlan), or when handling multi-environment deploys via mode / envOverrides. Covers build-plan-apply flow (deployBuild local build → deployPlan dry-run → deployApply confirm=true), hosting build-output neutralization, envId resolution priority, only/skip filtering, concurrency, and continueOnError. Prefer deployBuild (when hosting declares a buildCommand) and deployPlan before deployApply; do not confuse with per-resource tcb CLI deploy or single-function deploy.DevOpsFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- clarify-question-loopagentlas-ai/Agentlas-OSUse when a meta-agent request is too ambiguous to safely generate, package, publish, or adapt without one to five targeted questions.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- coo-advisoralirezarezvani/claude-skillsUse for operations leadership: process design, OKR execution, operating cadence, bottlenecks or scaling playbooks. Tracks OKRs with okr_tracker.py and analyzes efficiency with ops_efficiency_analyzer.py.DesignFără avertismente★ 29,2 K↓ —
- itcs-experimentsbrycewang-stanford/Awesome-Journal-SkillsUse when deciding what counts as evidence for an ITCS theory claim — proofs as the primary evidence, worked examples and separations that make a model concrete, and the rare, well-scoped illustrative computation or simulation — and how to keep any computational content checkable and subordinate to the mathematics.MediaFără avertismente★ 1,4 K↓ —
- session-reporthoangsonww/Claude-Code-Agent-MonitorGenerate a comprehensive session report with per-model token usage (input, output, cache_read, cache_write including compaction baselines), cost breakdown via the pricing engine, tool invocations, agent hierarchy, compaction events, API errors, turn durations, and thinking block counts. Use when reviewing a specific session or summarizing activity over a date range.PlanificareFără avertismente★ 1,1 K↓ —
- syllabusalirezarezvani/claude-skillsUse when the user shares a course syllabus or outline and wants supplementary readings. Groups topics with topic_grouper.py, finds recent peer-reviewed papers and writes a .docx with summaries and discussion questions.DocumenteFără avertismente★ 29,2 K↓ —
- soc2-compliancealirezarezvani/claude-skillsUse when the user asks to prepare for SOC 2 audits, map Trust Service Criteria, build control matrices, collect audit evidence, perform gap analysis, or assess SOC 2 Type I vs Type II readiness.JuridicFără avertismente★ 29,2 K↓ —
- vpe-advisoralirezarezvani/claude-skillsUse when delivery is slowing, eng hiring is broken, team structure is unclear or you need to decide when to add an eng manager. Runs delivery_throughput_analyzer.py (DORA), eng_hiring_funnel_calculator.py and eng_team_structure_designer.py.AlteleFără avertismente★ 29,2 K↓ —
- demo-scriptmohitagw15856/pm-claude-skillsScript a product demo that lands — the audience's-workflow storyline (their day, not your feature list), the golden path rehearsed with fallbacks, the wow moment placed early, and the demo-death contingencies (the backup video, the reset state, the narration bridge). Use when asked script our product demo, demo this to a customer/exec, our demos meander through features, or the demo broke live last time. Produces the demo storyline, the click-path script with fallbacks, the wow placement, and the contingency kit.MediaFără avertismente★ 1,5 K↓ —
- write-outreachgooseworks-ai/goose-skillsCold outreach a person sends to business buyers: email and LinkedIn sequences, a first line per prospect, reply and objection answers, and a read of replies. Use when the marketer says "write a cold email sequence", "what do I send to this list", "write LinkedIn messages for these leads", "how do I reply to this prospect" or "handle this objection", "reply to this demo request", "win back or reconnect with accounts that churned or went quiet", or "why is nobody replying to my outreach". Drafts only; the marketer sends from their own tool. Not for finding the people — use research-audience; not for emails to subscribers or users, or consumer win-back — use email-lifecycle.RedactareFără avertismente★ 1,3 K↓ —
- mcp-attribution-worktreeTencentCloudBase/CloudBase-AI-ToolkitTriage, repair, and close MCP attribution issues from the local report API with evidence-driven decisions and isolated Worktrunk worktrees. Use this skill when Codex needs to process `tool` attribution issues and skills-related attribution issues, inspect related runs, decide whether the issue is actionable in `mcp/src` or `config/source/skills`, update attribution fields as `owner=codex`, and then complete the fix loop through GitHub issue tracking, worktree-based code changes, PR submission, and follow-up iteration when the problem is repairable.InginerieFără avertismente★ 1,2 K↓ —
- md-documentalirezarezvani/claude-skillsUse when converting long-form markdown (spec, RFC, report, plan) into a single-file HTML page with sticky TOC, search and code-copy. Parses with markdown_parser.py and renders with html_renderer.py using the design-system brand.DesignFără avertismente★ 29,2 K↓ —
- hf-cloud-serving-image-selectionhuggingface/skillsPick the right serving container for a SageMaker model deployment and find its current image URI. Use this skill whenever about to deploy a model to a SageMaker endpoint and an image URI needs to be chosen — including when the user says "deploy this LLM", "host this HuggingFace model", "serve this fine-tuned model", "deploy this embedding model", "host a reranker", "serve a sentence-transformers model", or when about to hardcode any container URI in deployment code. HuggingFace-curated Deep Learning Containers are ALWAYS preferred: HuggingFace vLLM (LLMs and generative rerankers), HuggingFace vLLM-Omni (multimodal), TEI (embeddings/cross-encoder rerankers), HF Inference Toolkit (other transformers). Generic images (AWS vLLM, DJL-LMI, SGLang) are used only when no HuggingFace image is compatible — never merely because they carry a newer version. Never hardcode a container URI from memory and never default to TGI. Prevents stale-image failures and wrong-region URIs.OficialMediaFără avertismente★ 11,3 K↓ —
- redis-coreredis/agent-skillsCore Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, membership sets, or session stores, or when reviewing/cleaning up Redis key naming.OficialAlteleFără avertismente★ 172↓ —Apare și în 1 alt depozit
- interviewalirezarezvani/claude-skillsUse when someone has an agent idea to scope before launch ('help me scope an agent'). Interviews them about the one job and writes a build sheet with build_sheet_builder.py, checked by primitives_validator.py; no API key needed.PlanificareFără avertismente★ 29,2 K↓ —
- agentlas-buildagentlas-ai/Agentlas-OSBuild, repair, or package Agentlas agents and teams with Hephaestus.AlteleFără avertismente★ 1,6 K↓ —
- ad-policy-checkgooseworks-ai/goose-skillsChecks paid ads against the ad platform's rules (Meta, TikTok, Google, LinkedIn and others) and the brand's category rules: the copy, on-image or on-screen text, pictures and people. Rewrites what can be fixed honestly, adds the disclosures that are needed, and flags anything that needs a human or legal review, with one pass, fixed or flag line per ad and platform. Use alone when you already have the ad text or images and know where they will run; otherwise run the playbook for the job (e.g. make-static-ads, make-content, email-lifecycle).MarketingFără avertismente★ 1,3 K↓ —
- skill-authoringTencentCloudBase/CloudBase-AI-ToolkitDesign, improve, and evaluate reusable agent skills with high-quality SKILL.md files, precise trigger descriptions, progressive disclosure, and testable behavior. This skill should be used when users ask to create a new skill, rewrite or review an existing skill, audit a skill collection such as `config/source/skills` for redundancy or overlap, improve skill trigger quality, organize skill references, or evaluate whether a skill should trigger and behave correctly.DesignFără avertismente★ 1,2 K↓ —
- nist-ai-rmfSushegaad/Claude-Skills-Governance-Risk-and-ComplianceExpert NIST AI Risk Management Framework (AI RMF 1.0) advisor covering all four functions: GOVERN, MAP, MEASURE, MANAGE. Use this skill whenever a user asks about NIST AI RMF, AI risk management, AI trustworthiness, GOVERN function, MAP function, MEASURE function, MANAGE function, AI RMF Playbook, AI risk profiles, responsible AI, AI bias management, AI transparency, AI explainability, AI reliability, AI safety, NIST AI 100-1, AI risk assessment, AI incident response, or alignment to EU AI Act, ISO 42001, or NIST CSF via AI RMF. Trigger even if the user doesn't say "skill" — any NIST AI RMF or AI governance risk question should use this skill.AlteleFără avertismente★ 1 K↓ —
add-wechat
nanocoai/nanoclaw
InginerieActualizat acum 13 ore
De la autor
Add WeChat (personal) channel integration via Tencent's official iLink Bot API. Uses long-polling and QR scan — no webhook, no ToS risk, no paid token.
Instalare
npx skills add nanocoai/nanoclaw --skill add-wechat -a claude-code
Se instalează în .claude/skills/add-wechat/ · 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
Rulează scripturile incluseNu am văzut acces la rețeaLicență: MIT
Verificări de siguranță pe SKILL.md
- Include scripturi pe care nu le-am verificatScăzut
De ce 88
Securitate85
Proveniență94
Întreținere100
Licență100
Adopție70
Fișiere (3)
- REMOVE.md
- SKILL.md
- scripts/wire-dm.ts