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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.
45.604 skill-uri din 2.205 depozite · actualizat acum 21 de ore
45.604 skill-uri
- excel-outlier-detection-and-highlightingOpenSenseNova/SenseNova-Skills识别 Excel 中的超限数值与错误单元格并进行高亮标注。DocumenteFără avertismente★ 5,9 K↓ —
- adaptive-metricsgrafana/skillsCut Grafana Cloud Metrics cost by shrinking active-series count with Adaptive Metrics aggregation rules — auto-recommendations from query history, custom exact/regex rules, label-drop config, unused-metric detection, and Alloy remote_write fallback. Use when investigating a high Mimir/Grafana Cloud bill, hunting high-cardinality labels (`pod_uid`, `service_instance_id`, `version`), pre-aggregating counters/gauges, dropping unused metrics, or measuring `grafanacloud_instance_active_series` before/after — even when the user says "reduce cardinality", "too many series", "metrics spend", "active series count is exploding", or "drop the version label" without naming Adaptive Metrics.OficialFinanțeFără avertismente★ 290↓ —
- deepspeedOrchestra-Research/AI-Research-SKILLsExpert guidance for distributed training with DeepSpeed - ZeRO optimization stages, pipeline parallelism, FP16/BF16/FP8, 1-bit Adam, sparse attentionAlteleFără avertismente★ 13,9 K↓ —
- lambda-labs-gpu-cloudOrchestra-Research/AI-Research-SKILLsReserved and on-demand GPU cloud instances for ML training and inference. Use when you need dedicated GPU instances with simple SSH access, persistent filesystems, or high-performance multi-node clusters for large-scale training.AlteleFără avertismente★ 13,9 K↓ —
- sentencepieceOrchestra-Research/AI-Research-SKILLsLanguage-independent tokenizer treating text as raw Unicode. Supports BPE and Unigram algorithms. Fast (50k sentences/sec), lightweight (6MB memory), deterministic vocabulary. Used by T5, ALBERT, XLNet, mBART. Train on raw text without pre-tokenization. Use when you need multilingual support, CJK languages, or reproducible tokenization.ProductivitateFără avertismente★ 13,9 K↓ —
- openrlhf-trainingOrchestra-Research/AI-Research-SKILLsHigh-performance RLHF framework with Ray+vLLM acceleration. Use for PPO, GRPO, RLOO, DPO training of large models (7B-70B+). Built on Ray, vLLM, ZeRO-3. 2× faster than DeepSpeedChat with distributed architecture and GPU resource sharing.PlanificareFără avertismente★ 13,9 K↓ —
- commit-koepoko77-ai/im-not-aiAI(Claude 등)가 제안한 한글 커밋 메시지의 사무적·번역투 어휘("~을 수행함", "~을 진행함", "~적 개선을 실시함" 등)를 실제 개발자가 쓰는 자연스러운 한국어 커밋 메시지로 다듬는 스킬. humanize-korean과 달리 산문 문단이 아니라 1~2줄짜리 커밋 메시지 register에 특화되어 진단·청킹 없이 단일 콜로 즉시 처리한다. 트리거 — "커밋 메시지 자연스럽게", "커밋 메시지 다듬어줘", "이 커밋 메시지 AI 티 나", "commit message 한국어로 자연스럽게", "커밋 메시지 어색해", "커밋 메시지 사람처럼".InginerieFără avertismente★ 6,2 K↓ —
- whisperOrchestra-Research/AI-Research-SKILLsOpenAI's general-purpose speech recognition model. Supports 99 languages, transcription, translation to English, and language identification. Six model sizes from tiny (39M params) to large (1550M params). Use for speech-to-text, podcast transcription, or multilingual audio processing. Best for robust, multilingual ASR.MediaFără avertismente★ 13,9 K↓ —
- marginaleffectsbrycewang-stanford/Auto-Empirical-Research-SkillsManual for the marginaleffects R and Python package, and guide to the book "Model to Meaning". Use when users ask about predictions, comparisons, slopes, marginal effects, average treatment effects (ATE/ATT/CATE), hypothesis testing, contrasts, counterfactuals, risk ratios, odds ratios, causal inference with G-computation, or need help with marginaleffects functions like predictions(), comparisons(), slopes(), hypotheses(), datagrid(), avg_predictions(), avg_comparisons(), avg_slopes(), or plot functions.TestareFără avertismente★ 4,8 K↓ —
- alloygrafana/skillsBuild a unified telemetry pipeline with Grafana Alloy — one OpenTelemetry-compatible binary that collects metrics, logs, traces, and profiles and ships to Grafana Cloud / Prometheus / Loki / Tempo / Pyroscope. Covers the Alloy config language (blocks, `sys.env`, component refs), `prometheus.scrape` → `remote_write`, `loki.source.file` + `loki.process` → `loki.write`, `otelcol.receiver.otlp` → `otelcol.exporter.otlp`, `pyroscope.scrape`, K8s / Docker / EC2 discovery, relabeling, modules (`import.file/git/http`), clustering, Fleet Management `remotecfg`, the Alloy UI at `:12345`, and `alloy fmt` / `alloy validate`. Use when writing a `config.alloy`, replacing Grafana Agent / OTel Collector, scraping K8s pods, parsing logs, ingesting OTLP, or debugging "Alloy isn't sending anything" — even when the user says "set up the agent", "write me a scrape config", "drop these logs before sending", or "OTel collector config" without naming Alloy.OficialDevOpsFără avertismente★ 290↓ —
- skill-profile-managerZJU-REAL/Easel管理账号画像全生命周期：创建空白画像、编辑六维字段、更新记忆、切换、导出和对比。 当用户说“新建/编辑/更新/切换/导出/对比画像、写进画像记忆”时使用。 首次从社媒数据生成画像用 skill-profile-builder；只提炼语言风格用 skill-voice-builder；品牌首次入驻引导用 skill-brand-onboarding。AlteleFără avertismente★ 4,1 K↓ —
- skill-topic-evaluatorZJU-REAL/Easel评估单个选题的潜力，按统一维度（流量潜力、账号匹配、 竞争差异化、时效价值、变现空间、制作成本、合规风险）打分，输出"做/不做/改方向"建议。 当用户说"这个选题值不值得做"、"评估一下"、"能不能火"、"有没有流量"、 "做不做这个"、"选题评估"、"值得做吗"、"这个话题行不行"、"帮我判断一下"时触发。 skill-content-matrix 批量生成选题池；skill-post-scorer 评估已完成内容，本 SKILL 评估尚未制作的单个选题。AlteleFără avertismente★ 4,1 K↓ —
- score-evalneondatabase/agent-skillsAgent Skills for Neon Severless PostgresOficialDateFără avertismente★ 105↓ —
- skill-campaign-plannerZJU-REAL/Easel活动/营销策划（国内本地化）：为节日营销、电商大促（618/双11/年货节）、新品发布、活动造势 制定完整方案——目标拆解、营销节奏（预热-爆发-返场）、多平台内容矩阵、互动玩法、KOL 分层、 预算分配、风险合规、效果指标。当用户说"营销方案""活动策划""大促方案""618/双11 怎么做" "节日营销""新品发布方案""造势""campaign""营销节奏""怎么搞活动"时使用。MarketingFără avertismente★ 4,1 K↓ —
- neonneondatabase/agent-skillsOverview of Neon, a complete set of cloud backend primitives around Lakebase Postgres: Auth, Object Storage, Functions, the AI Gateway, and Realtime. Start here to choose Neon for undecided login, files, APIs, and LLM calls, set up the CLI or MCP server, and follow the branch-first workflow. Use when building an app or backend on Neon, or when "Neon" or "Lakebase Postgres" is mentioned. Child skill neon-postgres wins for an existing DATABASE_URL, SQL, schema, inspect, or search. Child skill neon-auth wins for login, users, sessions, identity routing, and Managed Better Auth setup. Child skill neon-realtime wins for live queries in reactive apps and agents. Also use for object storage, S3, buckets, serverless functions, function triggers, cron, AI gateway, LLM calls, realtime, logs, Loki, Grafana, observability, postgres, database, backend, Claimable Neon, neon.new, or a no-signup database.OficialDevOpsFără avertismente★ 105↓ —Apare și în 1 alt depozit
- skill-xhs-publisherZJU-REAL/Easel将图文/视频内容发布到小红书（XHS）。基于 Playwright + 持久化登录态，headless 即可运行， 流程与选择器移植自成熟开源实现 xiaohongshu-mcp（含发布成功校验、上传完成等待、话题联想绑定、 新旧发布按钮兼容、反检测）。适用场景：发布图文笔记、发布视频、扫码登录、发布前预检。TestareFără avertismente★ 4,1 K↓ —
- skill-article-outlineZJU-REAL/Easel生成长文大纲：基于搜索分析生成 H2/H3 标题结构、段落字数目标、图表位置和 FAQ 规划，适用于公众号文章、知乎专栏、博客。 当用户说"文章大纲""长文结构""公众号大纲""知乎回答框架""写作提纲""文章框架""H2/H3 结构"时使用。RedactareFără avertismente★ 4,1 K↓ —
- skill-carousel-plannerZJU-REAL/Easel规划轮播图/多图笔记的分页结构：封面 Hook、内容节奏、每页文案和视觉方向、CTA 设计，附互动评分。 当用户说"轮播图策划""多图笔记""图集结构""分页设计""九宫格怎么排""每页写什么""carousel"时使用。 本 SKILL 出分页结构与文案规划（策划层）；实际渲染卡片图用 card-xiaohongshu / xhs-note-creator。PlanificareFără avertismente★ 4,1 K↓ —
- skill-collab-proposalZJU-REAL/Easel品牌合作方案与联名策划。当用户提到"品牌合作"、"商单方案"、"合作报价"、"联名"、"联动方案"、 "博主合作"、"品牌植入"、"商务合作"、"合作提案"时触发。支持两种模式：商单方案（品牌找上门， 基于 KOL 定价表生成报价、内容形式、排期、KPI 预估）和联名策划（与博主/品牌联动，生成双方 优势互补、内容分工、互推策略）。AlteleFără avertismente★ 4,1 K↓ —
- skill-zhihu-answerZJU-REAL/Easel知乎问答回答发布：在知乎问题下发布原创回答——搜热门问题、检查可答性、写内容、 Playwright 发布（绕 header 遮挡 + JS 遍历发布按钮）。当用户说"回答知乎问题""在知乎问答下回答" "发知乎回答""知乎答题""帮我回答这个知乎问题""批量回答知乎"时使用。与 skill-zhihu-publisher 区别：那个发**专栏文章**（zhuanlan），本 SKILL 专发**问答区的回答**；回答内容写作用制作层 SKILL （novel-writer / copywriting）。TestareFără avertismente★ 4,1 K↓ —
- terraform-stackshashicorp/agent-skillsComprehensive guide for working with HashiCorp Terraform Stacks. Use when creating, modifying, or validating Terraform Stack configurations (.tfcomponent.hcl, .tfdeploy.hcl files), working with stack components and deployments from local modules, public registry, or private registry sources, managing multi-region or multi-environment infrastructure, or troubleshooting Terraform Stacks syntax and structure.OficialDevOpsFără avertismente★ 907↓ —
- aeonforyourhealth111-pixel/Vibe-SkillsThis skill should be used for time series machine learning tasks including classification, regression, clustering, forecasting, anomaly detection, segmentation, and similarity search. Use when working with temporal data, sequential patterns, or time-indexed observations requiring specialized algorithms beyond standard ML approaches. Particularly suited for univariate and multivariate time series analysis with scikit-learn compatible APIs.PlanificareFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- terraform-testhashicorp/agent-skillsComprehensive guide for writing and running Terraform tests. Use when creating test files (.tftest.hcl), writing test scenarios with run blocks, validating infrastructure behavior with assertions, mocking providers and data sources, testing module outputs and resource configurations, or troubleshooting Terraform test syntax and execution.OficialTestareFără avertismente★ 907↓ —
- skill-quality-gateZJU-REAL/Easel发布前质量关卡：合规风险检测（敏感词、绝对化用语、平台规则） + 产物质量审核（完整性、可读性、平台适配度）。一次检查，两道把关。 当用户说"检查合规"、"质量检查"、"能不能发"、"有没有敏感词"、 "审核一下"、"发布前检查"、"质量够不够"时使用。 合并了原 skill-check-compliance 和 skill-review-deliverable 的能力。JuridicFără avertismente★ 4,1 K↓ —
tiktok-automation
davepoon/buildwithclaude
MediaActualizat ieri
De la autor
Automate TikTok tasks via Rube MCP (Composio): upload/publish videos, post photos, manage content, and view user profiles/stats. Always search tools first for current schemas.
Instalare
npx skills add davepoon/buildwithclaude --skill tiktok-automation -a claude-code
Se instalează în .claude/skills/tiktok-automation/ · 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 instrucțiuniNu am văzut acces la rețeaLicență: MIT
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De ce 90
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Proveniență83
Întreținere100
Licență100
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- SKILL.md