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 1 oră
49.409 skill-uri
- cloudbaseNouTencentCloudBase/CloudBase-AI-ToolkitUse when the user builds, deploys, debugs, or troubleshoots anything on 腾讯云开发 CloudBase / 云开发 / TCB / 微信云开发 — Web, 微信小程序, uni-app, 原生 App. Triggers on: 建站, 页面, 表单, 后台, 原型, 登录, 注册, 鉴权, 数据库, 集合, 建表, 云函数, 云托管, 云存储, 静态托管, 上传, 部署, 上线, 域名, 日志, 报错, 巡检, 大模型, AI 对话, 流式输出, 智能体, 小程序. This is an entry skill: it routes the task to the right CloudBase MCP tool and then pulls the detailed recipe from the CloudBase MCP knowledge base. Do NOT use for non-CloudBase stacks or self-hosted backends.DevOpsFără avertismente★ 1,2 K↓ —
- agentlas-cloudagentlas-ai/Agentlas-OSUse when the user types /agentlas-cloud, /agentlas cloud, or /hep-cloud to staff only from the signed-in owner's private Cloud packages.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- brooks-testhyhmrright/brooks-lintTest quality review drawing on twelve classic engineering books — with primary focus on xUnit Test Patterns, The Art of Unit Testing, How Google Tests Software, and Working Effectively with Legacy Code — that diagnoses structural problems in an existing test suite: brittleness, mock abuse, coverage illusions, slow execution, poor readability. Triggers when: user asks about test quality, shares test files for review, or expresses frustration: "tests keep breaking whenever I change anything", "our tests take forever", "tests pass but bugs still reach production", or "we have too many mocks". Do NOT trigger for: writing new tests from scratch (use the regular test-writing workflow) or testing framework/syntax questions — this skill reviews an existing suite for structural quality problems, not individual test authoring.TestareFără avertismente★ 1,6 K↓ —
- weekly-rollupmohitagw15856/pm-claude-skillsRoll a week of daily reports and agent activity into one honest weekly summary: trajectory against goals, what shipped with proof, the recurring blocker, and what to change next week. Use when asked for a weekly rollup, summarise my week, what did the agent accomplish this week, or a Friday wrap-up from my daily reports. Produces a 12-line weekly rollup in the shared status vocabulary: shipped versus planned, the pattern in the blockers, and one concrete change for next week.PlanificareFără avertismente★ 1,5 K↓ —
- yc-readerhimself65/finance-skillsLook up Y Combinator companies and batches from the public yc-oss API, a static JSON dataset refreshed daily: company profiles, batch rosters (e.g. W25, S24), companies by industry or tag, top companies, who is hiring, founder-diversity lists, and overall YC stats. Use this skill whenever the user asks about YC-backed startups, a YC batch, YC companies in a sector or tag or that are hiring, the Y Combinator portfolio, or startup and venture research that draws on YC data. Read-only.ȘtiințăFără avertismente★ 3,5 K↓ —
- meta-evalagentscope-ai/OpenJudgeUse when the user wants to build an evaluation system for an LLM/agent application but doesn't know where to start — they have traces, prompts, RAG pipelines, or nothing at all. Also use when the user mentions evaluation, eval, benchmarking, testing LLM quality, measuring agent performance, assessing RAG accuracy, or wants to compare prompts/models. This skill is the entry router: it asks diagnostic questions then recommends which sub-skill (local workflow) to use next.TestareFără avertismente★ 1 K↓ —
- scrapecreators-apigooseworks-ai/goose-skillsProvider reference for collecting public profiles, posts, comments, transcripts, trends, and ad-library data from major social platforms through ScrapeCreators. Use as a dependency of research workflows, not as the final user-facing deliverable.BrowserFără avertismente★ 1,3 K↓ —
- minutes-prepsilverstein/minutesInteractive meeting preparation — builds a relationship brief and talking points before a call. Use when the user says "prep me for my call with", "I'm meeting with X", "prepare me for", "what should I bring up with", "meeting prep", "get ready for my call", or wants to review history with someone before a meeting.InginerieFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- research-marketgooseworks-ai/goose-skillsMarket research and brand watch: which market the brand is in, how big the reachable part is, what's changing, how buyers buy and what they pay, what people are saying now, and what it means for positioning. Use when the marketer asks for market research, "how big is my market", "what's changing in my category", "what do others charge", "what are people saying about us", "is there demand for <idea>", or "watch my brand / tell me if something blows up" (alerts only, risk first). Also writes positioning choices and finished messages ("position my product", "write our positioning"). Researches first, asks only decisions at the end, and saves the output to the brand. Not for who the buyers are and their own words — use research-audience; not for a deep look at rivals — use research-competitors.ȘtiințăFără avertismente★ 1,3 K↓ —
- jetson-llm-serveNVIDIA/skillsStand up vLLM or SGLang serving on Jetson, using upstream vLLM on Thor and Orin JetPack 7.2+, and NVIDIA-AI-IOT vLLM on older Orin.AlteleFără avertismente★ 3,8 K↓ —
- agentlas-core-engine-meta-agentagentlas-ai/Agentlas-OSUse when creating a single Agentlas agent, creating a multi-agent team, or packaging an existing local/external agent into Agentlas architecture. Make sure to use this for /meta-agent requests.PlanificareFără avertismente★ 1,6 K↓ —
- redis-connectionsredis/agent-skillsRedis client and connection guidance covering connection pooling, multiplexing, pipelining, client-side caching with RESP3, avoiding slow commands (KEYS, SMEMBERS, HGETALL), and tuning socket timeouts. Use when configuring a Redis client (redis-py, Jedis, Lettuce, NRedisStack), batching commands for throughput, eliminating per-request connection creation, iterating large keyspaces with SCAN, enabling client-side caching for read-heavy workloads, or setting connect and read timeouts.OficialAlteleFără avertismente★ 172↓ —Apare și în 1 alt depozit
- goal-testundefined-ui/second-brain-osTurn a vague task into a testable definition of done and generate an executable goal-test script for it, optionally with a bounded retry loop around a headless agent. Use when the user wants to run an agent in a loop, asks how to know when an agent task is finished, or says a goal like "improve X" needs to become checkable. Do NOT use for building eval suites over many cases — that is evals-bootstrap.TestareFără avertismente★ 1,2 K↓ —
- plan-campaign-channel-decisiongooseworks-ai/goose-skillsStep of the plan-campaign playbook: marks each candidate channel Run, Test, Later or No with a brand-fact reason and founder hours. Run plan-campaign instead; not for direct use.MarketingFără avertismente★ 1,3 K↓ —
- documenthashgraph-online/awesome-codex-pluginsRecord a decision, document existing code, or file a supplied research material. Modes: document decision (ADR, RFC, or rule), document code (spec, doc, guide, or scenario for existing behavior), document research (only when a finished report or one external material is already in hand). Use for 'we decided', 'record this decision', 'document why we chose X', 'make it our standard', 'draft an RFC', 'should we switch to Y' proposals, 'resolve the RFC', 'we accepted the proposal', 'document the auth module', 'capture how the payment system works', reference material, how-to instructions, or a user flow with examples over an existing spec. Name the type inside the subject to skip the type question. Planning a feature or an intended user journey → /archcore:plan. Checking docs against code or docs health → /archcore:review.ȘtiințăFără avertismente★ 1,5 K↓ —
- planning-with-filesActualizatOthmanAdi/planning-with-filesPersistent file-based planning for multi-step AI-agent work. Keeps task_plan.md, findings.md, and progress.md on disk; lifecycle hooks inject selected project planning context. Automatic recovery reads project planning files only. Explicit session-catchup.py --metadata reads same-project local agent session records and emits aggregate counts only; --replay may emit bounded nonce-framed excerpts. Optional gated mode can request continuation only when the host supports it and never runs commands declared in Markdown. The skill has no network upload path. Use for research or work needing 5+ tool calls.PlanificareFără avertismente★ 27,9 K↓ —Apare și în 1 alt depozit
- email-lifecyclegooseworks-ai/goose-skillsLifecycle email, SMS and push: audits the list and deliverability, then writes the flows this kind of business needs first, loadable as-is in your own tool, plus segments, cadence and this week's broadcasts. Never sends anything. Use when: set up my welcome and abandoned-cart emails; trial onboarding or waitlist launch emails; win back lapsed customers; plan this week's emails and texts; push notifications for my app; why are my emails going to spam; plan our Black Friday email and SMS sends; a send went wrong. Not for cold outreach to prospects — use write-outreach; not the editorial newsletter issue — use make-content; not the whole cross-channel Black Friday plan — use plan-campaign.ProductivitateFără avertismente★ 1,3 K↓ —
- http-api-cloudbaseActualizatTencentCloudBase/CloudBase-AI-ToolkitCloudBase official HTTP API client guide. This skill should be used when backends, scripts, or non-SDK clients must call CloudBase platform APIs over raw HTTP instead of using a platform SDK or MCP management tool.InginerieFără avertismente★ 1,2 K↓ —Apare și în 4 alte depozite
- minutes-mcp-recallsilverstein/minutesRoute meeting-recall questions to the right Minutes MCP tool.AlteleFără avertismente★ 1,6 K↓ —Apare și în 1 alt depozit
- add-dashboardnanocoai/nanoclawAdd a monitoring dashboard to NanoClaw. Installs @nanoco/nanoclaw-dashboard and a pusher that sends periodic JSON snapshots.AlteleFără avertismente★ 31,1 K↓ —
- where-to-start-situation-savegooseworks-ai/goose-skillsStep of the where-to-start playbook: saves the founder's answers and the agreed first move with the brand, so later visits and other playbooks don't ask again. Run where-to-start instead; not for direct use.AlteleFără avertismente★ 1,3 K↓ —
- add-oneclinanocoai/nanoclawInstall or refresh OneCLI as NanoClaw's gateway provider. Use when setup selects OneCLI, an existing OneCLI-backed install is migrated to the gateway seam, or its runtime, approval bridge, setup, and agent guidance must be restored from the in-tree package.AlteleFără avertismente★ 31,1 K↓ —
- cloudbase-agentActualizatTencentCloudBase/CloudBase-AI-ToolkitBuild and deploy AI agents with CloudBase Agent SDK (TypeScript & Python). Implements the AG-UI protocol for streaming agent-UI communication. Use when deploying agent servers, using LangGraph/LangChain/CrewAI adapters, building custom adapters, understanding AG-UI protocol events, or building web/mini-program UI clients. Supports both TypeScript (@cloudbase/agent-server) and Python (cloudbase-agent-server via FastAPI).DevOpsFără avertismente★ 1,2 K↓ —Apare și în 5 alte depozite
- 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↓ —
explore-unknowns
dzhng/skills
De la autor
Guide the user through a quadrant walk that maps the unknowns of a task — open by listing the known knowns, then work through known unknowns, unknown knowns, and unknown unknowns one stage at a time, ending with a complete four-quadrant map in the user's hands. Use when a request is ambiguous or underspecified, the codebase or domain is unfamiliar, the user will "know it when they see it", a reference implementation must be understood before porting, mid-build deviations from the plan need capturing, or a finished change needs buy-in or verified understanding before merge. Pairs with [write-spec](../write-spec/SKILL.md) — walk the quadrants to burn off fog before slicing, and feed the finished map into the spec.
Instalare
npx skills add dzhng/skills --skill explore-unknowns -a claude-code
Se instalează în .claude/skills/explore-unknowns/ · Fiecare comandă descarcă skill-ul direct de pe GitHub cu utilitarul open source skills.
Identic octet cu octet cu commit-ul scanat, cu licența depozitului și un fișier SOURCE.txt.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 88
Fișiere (7)
- SKILL.md
- references/after-the-walk.md
- references/stage-1-known-knowns.md
- references/stage-2-known-unknowns.md
- references/stage-3-unknown-knowns.md
- references/stage-4-unknown-unknowns.md
- references/stage-5-hand-over-the-map.md