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.
47.966 de skill-uri din 2.309 depozite · actualizat acum 6 ore
47.966 de skill-uri
- paid-ads-reviewnowork-studio/notfair-pluginProduce a read-only, evidence-based paid-media performance review across connected platforms or supplied exports. Use for weekly or monthly reports, scorecards, performance, CPA, ROAS, CTR, spend trends, pacing, or conversion-tracking health.MarketingFără avertismente★ 4,1 K↓ —
- gsd:undodavepoon/buildwithclaudeSafe git revert. Roll back phase or plan commits using the phase manifest with dependency checks.PlanificareFără avertismente★ 3,7 K↓ —
- deslopmichael-denyer/pstack-claudeRemove AI-generated code slop and clean up code styleInginerieFără avertismente★ 3,7 K↓ —
- docs-writeforyourhealth111-pixel/Vibe-SkillsWrite documentation following Metabase's conversational, clear, and user-focused style. Use when creating or editing documentation files (markdown, MDX, etc.).RedactareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- provider-test-patternshashicorp/agent-skillsTerraform provider acceptance test patterns using terraform-plugin-testing with the Plugin Framework. Covers test structure, TestCase/TestStep fields, ConfigStateChecks with custom statecheck.StateCheck implementations, plan checks, CompareValue for cross-step assertions, config helpers, import testing with ImportStateKind, sweepers, and scenario patterns (basic, update, disappears, validation, regression), and ephemeral resource testing with the echoprovider package. Use when writing, reviewing, or debugging provider acceptance tests, including questions about statecheck, plancheck, TestCheckFunc, CheckDestroy, ExpectError, import state verification, ephemeral resources, or how to structure test files.OficialTestareFără avertismente★ 910↓ —
- baoyu-wechat-summaryJimLiu/baoyu-skillsSummarizes WeChat group chat highlights into a structured digest using the local wx-cli binary (https://github.com/jackwener/wx-cli). Generates a normal digest by default; a roast (毒舌) version is opt-in. Maintains per-group history (history.json + history-digests.jsonl), per-user profiles, and per-group fact memory (memory.md) across runs, with privacy guardrails baked in. Use when the user asks to "总结群聊", "群聊精华", "群聊摘要", "summarize group chat", "group chat digest", mentions a WeChat group name with a time range, says "帮我看看 XX 群最近聊了什么", "XX 群有什么值得看的", or asks to "回溯画像" / "初始化画像" / "backfill profiles". Adds the roast version when the user says "毒舌版", "roast 版", "再来个毒舌的", or similar.ProductivitateFără avertismente★ 27,1 K↓ —
- brainstormingforyourhealth111-pixel/Vibe-SkillsYou MUST use this before any creative work - creating features, building components, adding functionality, or modifying behavior. Explores user intent, requirements and design before implementation.PlanificareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- manuscript-as-codeforyourhealth111-pixel/Vibe-SkillsTreat manuscripts as software: version control, reproducible builds, figure pipelines, CI, and structured repo layout. Helps teams avoid 'final_v7' chaos and ensures submission-ready artifacts.InginerieFără avertismente★ 3,8 K↓ —
- peer-reviewforyourhealth111-pixel/Vibe-SkillsStructured manuscript/grant review with checklist-based evaluation. Use when writing formal peer reviews with specific criteria methodology assessment, statistical validity, reporting standards compliance (CONSORT/STROBE), and constructive feedback. Best for actual review writing, manuscript revision. For evaluating claims/evidence quality use scientific-critical-thinking; for quantitative scoring frameworks use scholar-evaluation.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- data-storytellingforyourhealth111-pixel/Vibe-SkillsTransform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.DateFără avertismente★ 3,8 K↓ —
- paid-ads-redditnowork-studio/notfair-pluginAudit, diagnose, and safely operate connected Reddit Ads accounts through the NotFair MCP. Use for Reddit advertising, Reddit Ads performance, campaign or ad-group analysis, spend, conversions, targeting, audiences, pixels, budgets, bids, creative, campaign setup, or approved Reddit Ads changes.MarketingFără avertismente★ 4,1 K↓ —
- kiro-spec-batchgotalab/cc-sddCreate complete specs (requirements, design, tasks) for all features in roadmap.md using parallel sub-agent dispatch by dependency wave.PlanificareFără avertismente★ 3,7 K↓ —
- gsd:insert-phasedavepoon/buildwithclaudeInsert urgent work as decimal phase (e.g., 72.1) between existing phasesAlteleFără avertismente★ 3,7 K↓ —
- provider-configurationhashicorp/agent-skillsImplement Terraform provider configuration and authentication with the Plugin Framework: provider schema for credentials (Optional + Sensitive attributes), environment variable fallbacks, credential provider chains (static config, then environment variables, shared credentials file, and platform identity), unknown-value guards in Configure(), secret redaction, configure-time credential validation, and diagnostics that name every source tried. Use when implementing or reviewing a provider's Configure method or provider schema, adding authentication options (API keys, tokens, profiles, credentials files, assume-role), deciding how a provider should resolve credentials, debugging "no valid credential sources" or missing-credentials errors, or unit testing credential resolution.OficialTestareFără avertismente★ 910↓ —
- canva-automationdavepoon/buildwithclaudeAutomate Canva tasks via Rube MCP (Composio): designs, exports, folders, brand templates, autofill. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- cudaq-guideNVIDIA/skillsUse for CUDA-Q setup, simulation targets, QPU access, and @cudaq.kernel authoring guidance.AlteleFără avertismente★ 3,8 K↓ —
- roi-calculatoraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "calculate influencer ROI", "prove campaign value", or "what was our ROAS"; produces direct ROI/ROAS, earned media value, attribution-modeled revenue, LTV-based ROI, and a stakeholder-ready summary. Not for building the full slide/written report — use report-generator. 达人营销ROI计算/投资回报测算DocumenteFără avertismente★ 3 K↓ —
- launch-retro-analyzeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "run a launch retro / post-mortem", "compare launch results vs targets by channel", or "decide what to keep or kill for the next launch"; produces a structured D1/W1/M1 retrospective — a per-channel actual-vs-target table (UTM-attributed own analytics as the truth column, platform self-reported numbers as reference, every figure labeled Measured / User-provided / Estimated), a 5-Whys chain on the single largest miss, keep / kill / change decisions per channel, 3-5 actionable learnings for the next launch, and an outcome snapshot submitted to the launch registry. Not for return math (CPA / ROI) — use roi-calculator; not for the stakeholder-facing report writeup — use report-generator; not for a metric deep-dive — use performance-analyzer. 发布复盘/渠道归因/5-Whys/keep-killDateFără avertismente★ 3 K↓ —
- short-drama-storyboardzenstory-ai/drama-skills把中文短剧剧本和视觉设定写成有戏剧职责、连续性边界与冻结关键帧提示词的分镜 Markdown。用户提出“拆分镜/设计镜头/做镜头表”“场次视觉计划/调度故事板”“比较导演方案”“写首帧/关键帧提示词”或检查轴线、站位、视线、持物连续性时使用；不生成媒体。AlteleFără avertismente★ 3,6 K↓ —Apare și în 1 alt depozit
- edgartoolsforyourhealth111-pixel/Vibe-SkillsPython library for accessing, analyzing, and extracting data from SEC EDGAR filings. Use when working with SEC filings, financial statements (income statement, balance sheet, cash flow), XBRL financial data, insider trading (Form 4), institutional holdings (13F), company financials, annual/quarterly reports (10-K, 10-Q), proxy statements (DEF 14A), 8-K current events, company screening by ticker/CIK/industry, multi-period financial analysis, or any SEC regulatory filings.FinanțeFără avertismente★ 3,8 K↓ —
- google-analyticsnowork-studio/notfair-pluginAnalyze connected Google Analytics 4 traffic, acquisition, engagement, landing pages, ecommerce, events, and conversions, and safely manage supported GA4 key events or custom dimensions through NotFair MCP. Use for GA4, Google Analytics, traffic or conversion drops, channel attribution, realtime activity, report requests, measurement configuration, or Analytics MCP setup.DateFără avertismente★ 4,1 K↓ —
- scientific-data-preprocessingforyourhealth111-pixel/Vibe-Skills⚠️ CRITICAL USER EXPERIENCE-BASED SKILL - ALWAYS CONSULT BEFORE DATA PREPROCESSING ⚠️ Prevents catastrophic errors (88.9% error rate in V1.0 case study) through multi-level feature analysis, data leakage detection, and semantic validation. MANDATORY for: data preprocessing, feature engineering, standardization, normalization, interpolation, missing value handling, feature selection, or ANY data transformation task. Covers grouped time-series, cross-sectional, panel data. Detects: time travel leakage, causal inversion, ID misuse, semantic-numeric fallacies, distribution blindness. User's hard-won lessons from real project failures.ȘtiințăFără avertismente★ 3,8 K↓ —
- memstackdavepoon/buildwithclaude127 production skills across 10 categories (Security, Deployment, Dev, Business, Content, SEO, Marketing, Product, Automation, Core). Skills auto-load based on your task. Includes localhost dashboard with Agent Runner, Burn Report, and session diary.SecuritateFără avertismente★ 3,7 K↓ —
- shapforyourhealth111-pixel/Vibe-SkillsModel interpretability and explainability using SHAP (SHapley Additive exPlanations). Use this skill when explaining machine learning model predictions, computing feature importance, generating SHAP plots (waterfall, beeswarm, bar, scatter, force, heatmap), debugging models, analyzing model bias or fairness, comparing models, or implementing explainable AI. Works with tree-based models (XGBoost, LightGBM, Random Forest), deep learning (TensorFlow, PyTorch), linear models, and any black-box model.InginerieFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
nemo-fabric-integrate
NVIDIA/skills
DevOpsActualizat ieri
De la autor
Use this skill when integrating NVIDIA NeMo Fabric into a consumer application, service, evaluation harness, or platform through the typed Python SDK — translating the consumer's own application, job, or deployment config into an in-memory FabricConfig, choosing the single-invocation convenience API or an explicitly started runtime, validating with plan and doctor, and consuming normalized results, artifacts, and telemetry.
Instalare
npx skills add NVIDIA/skills --skill nemo-fabric-integrate -a claude-code
Se instalează în .claude/skills/nemo-fabric-integrate/ · 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: APACHE-2.0
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Securitate100
Proveniență83
Întreținere100
Licență100
Adopție57
Fișiere (8)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- references/config-mapping.md
- references/results-and-errors.md
- references/sdk-api-inventory.md
- skill-card.md
- skill.oms.sig