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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.
45.198 de skill-uri din 2.196 de depozite · actualizat acum 20 de minute
45.198 de skill-uri
- mongodb-connectionmongodb/agent-skillsOptimize MongoDB client connection configuration (pools, timeouts, patterns) for any supported driver language. Use this skill when working/updating/reviewing on functions that instantiate or configure a MongoDB client (eg, when calling `connect()`), configuring connection pools, troubleshooting connection errors (ECONNREFUSED, timeouts, pool exhaustion), optimizing performance issues related to connections. This includes scenarios like building serverless functions with MongoDB, creating API endpoints that use MongoDB, optimizing high-traffic MongoDB applications, creating long-running tasks and concurrency, or debugging connection-related failures.OficialInginerieFără avertismente★ 191↓ —Apare și în 3 alte depozite
- large-file-kpi-analysisOpenSenseNova/SenseNova-Skills根据数据量自动选择读取策略(大文件转Parquet),提取关键指标进行单位一致性验证与排序分析,并输出可下载的结果表格。AlteleFără avertismente★ 5,9 K↓ —
- test-gap-analysisdotnet/skillsFind caller-visible production changes existing tests would miss through pseudo-mutation analysis; verify candidates or close gaps only when requested. Includes read-only per-test composition for grading. Polyglot. USE FOR: would tests catch a bug, behavioral blind spots, surviving mutations. DO NOT USE FOR: concrete fix/feature revision proof (test-value-evidence); suite taxonomy (test-tagging); .NET coverage, Cobertura, plateaus or coverage-backed priorities (coverage-analysis); named CRAP (crap-score); new suites (code-testing); assertion/smell audits; mutation tools.TestareFără avertismente★ 5,7 K↓ —
- mongodb-schema-designmongodb/agent-skillsMongoDB schema design patterns and anti-patterns. Use when designing data models, reviewing schemas, migrating from SQL, or troubleshooting performance issues caused by schema problems. Triggers on "design schema", "embed vs reference", "MongoDB data model", "schema review", "unbounded arrays", "one-to-many", "tree structure", "16MB limit", "schema validation", "JSON Schema", "time series", "schema migration", "polymorphic", "TTL", "data lifecycle", "archive", "index explosion", "unnecessary indexes", "approximation pattern", "document versioning".OficialDesignFără avertismente★ 191↓ —Apare și în 3 alte depozite
- frontend-designThinkInAIXYZ/deepchatCreate distinctive, production-grade frontend interfaces with high design quality. Use this skill when the user asks to build web components, pages, artifacts, posters, or applications (examples include websites, landing pages, dashboards, React components, HTML/CSS layouts, or when styling/beautifying any web UI). Generates creative, polished code and UI design that avoids generic AI aesthetics.DesignFără avertismente★ 6,4 K↓ —Apare și în 3 alte depozite
- stacked-chart-visualizationOpenSenseNova/SenseNova-Skills处理包含百分比字符串的分类占比数据,通过补全缺失维度并生成堆叠柱状图,直观展示多维度构成随时间或分类的变化趋势。AlteleFără avertismente★ 5,9 K↓ —
- line-chart-visualizationOpenSenseNova/SenseNova-Skills提取结构化数据并进行特征清洗与聚类分析,生成包含趋势对比、分布特征与参数敏感性的多维度综合可视化图表,适用于各类趋势预测与多维对比场景。AlteleFără avertismente★ 5,9 K↓ —
- excel-bar-chart-visualizationOpenSenseNova/SenseNova-Skills读取多工作表Excel文件,自动处理合并单元格与数据清洗,进行交叉分组统计并生成带总计行的结果表,最后绘制支持中英文字体的美化柱状图,适用于多维度数据汇总与可视化分析。DocumenteFără avertismente★ 5,9 K↓ —
- statistical-distribution-and-outlier-analysisOpenSenseNova/SenseNova-Skills执行数值型数据的分布分析与异常值检测,支持通过正则表达式从文本中提取误差项并生成高分辨率的箱线图与直方图报告。AlteleFără avertismente★ 5,9 K↓ —
- get-prompt-from-imagewuyoscar/GPT-Image2-SkillAnalyze user-provided reference images and reverse-engineer high-fidelity AI image-generation prompts. Use when the user asks to recreate, imitate, reverse-engineer, or extract prompts from photographs, illustrations, 3D renders, products, characters, landscapes, typography, logos, posters, or other visual references. Do not use for requests that only require OCR or an ordinary image description.MediaFără avertismente★ 5,9 K↓ —
- categorical-comparison-analysisOpenSenseNova/SenseNova-Skills对两类分类数据进行对比分析,统计数量差异与比例关系并生成可视化图表。AlteleFără avertismente★ 5,9 K↓ —
- linkedin-thread-monitorsergebulaev/linkedin-skillsTrack which of your LinkedIn comments earned author replies. Flags the 6-24h warm-reply window where thread momentum peaks, classifies threads as hot/warm/cool/dormant, and routes warm ones to linkedin-reply-handler for follow-up drafts. Powered by Apify, no LinkedIn login. Triggers on "what threads need follow-up", "author replied", "monitor my comments". Not for analyzing likers on a post (use linkedin-engager-analytics).MarketingFără avertismente★ 5,2 K↓ —Apare și în 1 alt depozit
- agent-analyticsdavepoon/buildwithclaudeAnalytics your AI agent can actually use. Track, analyze, run A/B experiments, and optimize across all your projects via CLI. Includes a growth playbook so your agent knows HOW to grow, not just what to track.DateFără avertismente★ 3,7 K↓ —
- launch-registryaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "log this launch", query a launch date/embargo, record a stage transition, or update submissions/outcomes; curates launch facts through the append-only launches event stream with optimistic revisions and derived dossier/calendar views. Not for RAMP scoring — use launch-readiness-auditor; not for planning tier/window — use launch-tier-planner. 发布台账/发布日历/阶段与禁运期记录PlanificareFără avertismente★ 3 K↓ —
- performing-causal-analysisforyourhealth111-pixel/Vibe-SkillsEstimate causal effects from existing data. Use when fitting or interpreting DiD, ITS, synthetic control, regression discontinuity, or other treatment-effect analyses, including robustness checks and counterfactual plots. For choosing a study design before analysis, use designing-experiments instead.DesignFără avertismente★ 3,8 K↓ —
- serply-web-searchdavepoon/buildwithclaudeSearch Google, Bing, Google News and Google Scholar, and read public pages, through the Serply MCP server. Use when you need current information beyond training data, recent news coverage, or academic papers, with source URLs. Remote server at https://api.serply.io/mcp with an API key from https://serply.io sent in the X-Api-Key header.InginerieFără avertismente★ 3,7 K↓ —
- sentry-automationdavepoon/buildwithclaudeAutomate Sentry tasks via Rube MCP (Composio): manage issues/events, configure alerts, track releases, monitor projects and teams. Always search tools first for current schemas.ProductivitateFără avertismente★ 3,7 K↓ —
- gsd:threaddavepoon/buildwithclaudeManage persistent context threads for cross-session workProductivitateFără avertismente★ 3,7 K↓ —
- doca-rdmiNVIDIA/skillsUse this skill when the user works with DOCA RDMI, the RDMA Initiator library that lets a DPA-resident function originate one-sided RDMA toward a remote responder. Covers choosing doca-rdmi versus doca-rdma, instantiating doca_rdmi_connection and doca_rdmi_poster, wiring doca_dpa_completion or doca_verbs_cq ahead of doca_ctx_start(), exporting the datapath handle consumed on-DPA, auditing whether a doca_rdmi_* symbol is EXPERIMENTAL for the installed release, or decoding DOCA_ERROR_* statuses such as BAD_STATE at completion-attach. Also load it for implied asks like "my Arm-side function must originate RDMA writes", "symbol missing at link time on doca_rdmi_*", or "posted work request never arrived". Refuse and route to the proper owner for two-sided host RDMA, GPU-originated traffic, or generic IB/RoCE theory.RedactareFără avertismente★ 3,7 K↓ —
- LQF_Machine_Learning_Expert_Guideforyourhealth111-pixel/Vibe-SkillsLQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.InginerieFără avertismente★ 3,8 K↓ —
- email-sequence-designeraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "design a welcome flow", "set up an abandoned-cart sequence", "build a light re-engagement branch inside a lifecycle flow", or "plan a cold-outbound sequence"; produces general lifecycle automation flows (welcome, cart, browse-abandon, post-purchase, in-flow re-engagement, B2B cold outbound) with trigger, step timing, branch/exit conditions, goal, frequency governance (send caps, quiet hours, fatigue guardrail), a sunset path, and a SEND N-dimension score. Not for the closed-loop win-back / re-consent (re-permission) program on a lapsed cohort — use reactivation-specialist; not for writing each email's copy — use email-creative-builder; not for computing EQS or the N1 unsubscribe veto — use email-quality-auditor. 邮件自动化流程设计/购物车挽回/流失召回序列ProductivitateFără avertismente★ 3 K↓ —
- doca-argpNVIDIA/skillsUse this skill for hands-on DOCA Arg Parser CLI work on a shipped sample or new DOCA-using app — adding / removing / renaming flags; wiring `doca_argp_init` → register params → `doca_argp_start` → `doca_argp_destroy` in order; picking a parameter type from the full public enum (`DOCA_ARGP_TYPE_STRING`, `_INT`, `_BOOLEAN`, `_DEVICE`, `_DEVICE_REP`, `_DOUBLE` — six values, not three); preserving the built-in DOCA flags (`-h` `-v` `-l` `--sdk-log-level` `--log-filter` `-j`/`--json`, NOT `--json-config`); `--device` is per-program; or debugging `DOCA_ERROR_BAD_STATE` / `INVALID_VALUE` / `NOT_SUPPORTED` / `IO_FAILED` from `doca_argp_*`. Trigger on implicit phrasings: "add a custom flag to a DOCA sample", "should I use getopt here", "BAD_STATE registering a new param", "my JSON config key is rejected", or "my sample's --json is ignored". Refuse and route elsewhere for variadic-flag / subcommand / shell-completion features, DOCA Core context, or DOCA Log internals.InginerieFără avertismente★ 3,7 K↓ —
- gsd:inteldavepoon/buildwithclaudeQuery, inspect, or refresh codebase intelligence files in .planning/intel/PlanificareFără avertismente★ 3,7 K↓ —
- gsd:exploredavepoon/buildwithclaudeSocratic ideation and idea routing — think through ideas before committing to plansPlanificareFără avertismente★ 3,7 K↓ —
game-jam
gamedev-skills/awesome-gamedev-agent-skills
De la autor
Plan and ship a game under a jam deadline: lock scope to the clock, schedule the hours, cut features, and submit on time. Use for a game jam (Ludum Dare, GMTK Jam, Global Game Jam), a 48-hour or weekend build, or scoping and submitting a jam entry.
Instalare
npx skills add gamedev-skills/awesome-gamedev-agent-skills --skill game-jam -a claude-code
Se instalează în .claude/skills/game-jam/ · 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.
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