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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 10 ore
45.604 skill-uri
- melonjs-eventsmelonjs/melonJSUse this skill for the melonJS event bus and lifecycle hooks — subscribing to engine events, the per-frame and per-state event names, renderable lifecycle callbacks, and how to unsubscribe without leaking. Triggers on: event.on, event.off, event.once, event.emit, GAME_UPDATE, GAME_BEFORE_DRAW, LEVEL_LOADED, LOADER_COMPLETE, STATE_CHANGE, CANVAS_ONRESIZE, POINTERMOVE, WORLD_STEP, onActivateEvent, onDeactivateEvent, onDestroyEvent, lifecycle, subscribe, listener.MediaFără avertismente★ 6,4 K↓ —
- melonjs-tilemapsActualizatmelonjs/melonJSUse this skill for Tiled maps in melonJS — loading TMX/TSX levels, spawning entities from Tiled objects, collision shapes authored in Tiled, isometric and hexagonal maps, and image layers. Covers registerTiledObjectClass and the pool.register name contract, camera bounds, compressed maps needing the inflate plugin, and the level director API. Triggers on: Tiled, TMX, TSX, tilemap, level.load, level.load async, await level.load, tileset, ImageLayer, isometric, hexagonal, staggered, pool.register, Collectable, Trigger, object layer, collision layer, parallax, registerTiledObjectClass, registerTiledObjectFactory, TMXObject, resolvedProperty, resolvedProperties, tile class, tile properties.MediaFără avertismente★ 6,4 K↓ —
- excel-threshold-analysis-and-stylingOpenSenseNova/SenseNova-Skills根据 Excel 数据量级自动判断处理策略，执行数值列清洗、条件过滤，并使用 openpyxl 对符合条件的单元格进行样式标记与导出。DocumenteFără avertismente★ 5,9 K↓ —
- melonjs-3d-assetsmelonjs/melonJSUse this skill when loading 3D models into melonJS — glTF and GLB scenes, OBJ/MTL models, materials, imported lights, node animation, ground shadows and GPU instancing. Covers level.load options including the async flag, the rightHanded conversion, and exactly what the loader does and does not support. Triggers on: glTF, gltf, glb, OBJ, MTL, 3D model, getGLTF, getOBJ, getMTL, GLTFModel, GLTFScene, level.load glb, rightHanded, lightIntensityScale, castGroundShadow, shadowGroundY, EXT_mesh_gpu_instancing, KHR_lights_punctual, skinning, Blender export, 3D asset.MediaFără avertismente★ 6,4 K↓ —
- pdfopenai/skillsUse when tasks involve reading, creating, or reviewing PDF files where rendering and layout matter; prefer visual checks by rendering pages (Poppler) and use Python tools such as `reportlab`, `pdfplumber`, and `pypdf` for generation and extraction.OficialDocumenteFără avertismente★ 28,3 K↓ —Apare și în 3 alte depozite
- cue-kind-definitiongrafana/skillsAuthor CUE kind definitions for grafana-app-sdk apps - schemas, versioning, field constraints, named type definitions, custom routes, and codegen configuration. Scaffolds kinds via `grafana-app-sdk project kind add`, writes spec/status schemas with type constraints (regex, enum, range), defines `#`-prefixed named types for reusable structs, registers versions in the app manifest, and runs `grafana-app-sdk generate` with explicit error recovery. Use when working with CUE kinds, adding a new resource type, adding a version to an existing kind, writing schema field constraints, defining `#Definition` types, adding custom routes, editing files under `kinds/`, or when the user asks to "model a resource", "add a CUE schema", or "write a kind" — even without saying "CUE" explicitly.OficialRedactareFără avertismente★ 290↓ —
- plugin-bundle-sizegrafana/skillsOptimise Grafana app plugin bundle size using React.lazy, Suspense, and webpack code splitting. Use when the user asks to reduce plugin bundle size, optimise module.js, add code splitting, improve initial plugin load performance, split plugin chunks, lazy load plugin pages, or help implement lazy loading in a Grafana app plugin. Triggers on phrases like "optimise plugin bundle size", "module.js is too large", "plugin is slow to load", "code split the plugin", "reduce initial JS payload", or "help me with Suspense in my plugin".OficialInginerieFără avertismente★ 290↓ —
- loki-label-analyzergrafana/skillsExpert evaluator for Grafana Loki label strategy. Audits, designs, and improves label schemas using cardinality scoring, access-pattern alignment, static vs. dynamic label rules, and consistency checks. Use when the user asks to evaluate, audit, design, or improve a Loki label strategy — or asks why their Loki queries are slow.OficialDesignFără avertismente★ 290↓ —
- frontend-session-rcagrafana/skillsDiagnoses a Grafana Frontend Observability (RUM) session: whether it is healthy, what went wrong, ranked problems with timestamps and evidence, likely cause, how to fix it. Optional follow-up: zoom in on the top error, impact across sessions, Session Replay, or a Tempo trace if the user asks. Fetches telemetry with `gcx frontend sessions get --save` and reads only that dump file. Use when the user asks to explain, diagnose, analyse, RCA, or review a session; asks if a session is healthy; pastes Frontend Observability session context (app id, session id, datasource UID); or mentions Faro, user journey, Core Web Vitals, exceptions, ANR, or a web or mobile RUM session — even if they do not say "session narrator" or "frontend-session-rca". Do not use this skill to instrument an app (Faro Web, React Native, Flutter, native OpenTelemetry) — use `app-observability` for Faro Web setup instead.OficialDesignFără avertismente★ 290↓ —
- fleet-managementgrafana/skillsManage a fleet of Grafana Alloy collectors with Fleet Management — author Alloy pipelines once, target them via attribute matchers (`env="production"`, regex `region=~"us-.*"`), push remotely via OpAMP without restarting collectors. Covers pipeline create / update / matcher RPCs, collector attribute API, `remotecfg` bootstrap block (standalone + Helm), pre-deploy `alloy fmt` validation, the local Alloy UI at port 12345 for component health, and post-deploy `REMOTE_CONFIG_STATUS_APPLIED` verification. Use when standing up a Cloud Alloy fleet, pushing a config change to 200 collectors, hunting why one collector shows `REMOTE_CONFIG_STATUS_FAILED`, validating River syntax before saving, or wiring `discovery.kubernetes` → `prometheus.remote_write` — even when the user says "configure Alloy", "remote config the collectors", "push pipeline", "OpAMP", "collector is unhealthy", or "manage agent config centrally" without naming Fleet Management.OficialDevOpsFără avertismente★ 290↓ —
- private-connectivitygrafana/skillsSet up private network connectivity to Grafana Cloud — AWS PrivateLink, Azure Private Link, GCP Private Service Connect, and Private Data Source Connect (PDC). Provisions VPC endpoints, private endpoints, or PSC forwarding rules per signal type (metrics / logs / traces / profiles); wires Alloy to push to the private DNS endpoint instead of the public one; verifies private DNS resolution + endpoint approval state. Use when sending telemetry to Grafana Cloud without traversing the public internet, eliminating cloud egress costs, meeting PCI-DSS / HIPAA / data-residency compliance, configuring PDC for private data-source queries, or connecting AWS / Azure / GCP workloads to Grafana — even when the user says "stop paying egress", "keep our telemetry off the public internet", or "PCI compliance for Grafana" without naming PrivateLink.OficialDevOpsFără avertismente★ 290↓ —
- database-observabilitygrafana/skillsSet up Grafana Cloud Database Observability for MySQL and PostgreSQL — enables `pg_stat_statements` / Performance Schema, creates a least-privilege monitoring user, configures the `database_observability.postgres` / `database_observability.mysql` Alloy components, ships query samples + visual explain plans + RED metrics + schema details to Grafana Cloud, and correlates slow queries with application traces via `db.statement` / `db.system` OTel attributes. Use when monitoring database performance, diagnosing slow queries, setting up DB observability for RDS / Aurora / Cloud SQL / Azure Database / self-managed instances, correlating DB metrics with APM, or alerting on query latency — even when the user says "my database is slow", "find the slow queries", or "monitor RDS" without saying "observability".OficialDevOpsFără avertismente★ 290↓ —
- infrastructuregrafana/skillsShip Kubernetes, host, container, and cloud-provider telemetry into Grafana Cloud — `k8s-monitoring` Helm chart for K8s clusters (metrics + logs + traces + events + cost), Alloy `prometheus.exporter.unix` for Linux hosts, cAdvisor + Docker discovery for containers, and CloudWatch / Azure Monitor / Google Cloud Monitoring datasource setup. Use when onboarding a new cluster or VM fleet to Grafana Cloud, picking the right Helm values for K8s scraping, wiring kube-state-metrics + node-exporter + cAdvisor, alerting on `PodCrashLooping` / node memory / PVC capacity, or pulling AWS / Azure / GCP cloud metrics — even when the user says "monitor my cluster", "send K8s metrics to Grafana", "scrape EC2 metrics", "cluster pod logs", or "install the monitoring helm chart" without naming `k8s-monitoring` or Alloy.OficialDevOpsFără avertismente★ 290↓ —
- humanize-chinesebrycewang-stanford/Auto-Empirical-Research-SkillsDetect and humanize AI-generated Chinese text. 20+ rule detection categories plus statistical features (sentence-length CV, short-sentence fraction, comma density, perplexity, GLTR, DivEye) plus scene-aware LR fusion (rule × 0.2 + LR × 0.8) trained on three scenes: general / academic / longform 长文本 (≥1500 字)。Unified CLI: ./humanize {detect,rewrite,academic,style,compare}. 8 style transforms (casual/zhihu/xiaohongshu/wechat/academic/literary/weibo/novel)。 Multi-paragraph rewriting (paragraph length CV、跨段 trigram 重复) plus best-of-N humanize (默认 N=10 取最低 LR)。165 replacement patterns + CiLin 同义词词林 38873 with collision blacklist。 Academic paper AIGC reduction for CNKI/VIP/Wanfang (知网/维普/万方 AIGC 检测降重)。 Pure Python, no dependencies, offline。v5.0.0 — HC3 fused 准确率 95%、学术 hero 100→35 (-65)、 工作汇报 96→13 (-83)、长篇博客 96→41 (-55)。 Use when user says: "去AI味", "降AIGC", "人性化文本", "humanize chinese", "AI检测", "AIGC降重", "去除AI痕迹", "文本改写", "论文降重", "知网检测", "维普检测", "AI写作检测", "让文字更自然", "detect AI text", "humanize text", "reduce AIGC scRedactareFără avertismente★ 4,8 K↓ —
- k6-cloud-investigate-testgrafana/skillsInvestigate a Grafana Cloud k6 test — describe the script, list run history, identify pass/fail status, pull raw metric time-series and log lines for one or more runs, and (if asked) safely edit the test script. Use when the user asks about a specific k6 cloud test or run, gives a `/a/k6-app/tests/<id>` or `/a/k6-app/runs/<id>` URL, asks "is this test passing", "why are my k6 tests failing", "show me metrics for run X", "show me logs for run X", or wants to add thresholds / fix a failing test. Trigger this skill even when the user doesn't explicitly say "investigate" — pasted `/a/k6-app/...` URLs, "why did run X fail", "what happened with my test", "is my test healthy", "the latest run looks weird", "checks are failing but the run says passed", or any request to diagnose a Grafana Cloud k6 run all qualify.OficialTestareFără 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↓ —
- 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↓ —
- 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↓ —
- melonjs-getting-startedmelonjs/melonJSUse this skill when starting or bootstrapping a melonJS game, creating the Application, choosing a renderer, or setting up the first scene. Covers the mandatory async init, the world container, adding renderables, and the WebGPU/WebGL 2/Canvas fallback. Triggers on: melonjs, new Application, app.init, app.world, video.AUTO, video.WEBGL, video.CANVAS, Stage, state.change, getting started, bootstrap.MediaFără avertismente★ 6,4 K↓ —
- competitor-gapRyze-AI-Adgent/open-seo-mcp-skillsFind keywords a competitor ranks for that the user's site doesn't — the content gap, prioritized by volume and winnability. Use when asked "what does competitor.com rank for", "keyword gap vs X", "steal competitor keywords", or "why do they outrank us".AlteleFără avertismente★ 7,1 K↓ —
- linkedin-engager-analyticssergebulaev/linkedin-skillsPull the people who liked or commented on any LinkedIn post and segment them by ICP fit (peer / aspirational / prospect / other). Produces an engager roster, tier breakdown, and outbound action lists (follow back, comment-drop, DM-able with one-line openers). Powered by Apify, no LinkedIn login. Triggers on "who liked my post", "who engaged", "engagers report", "audience analytics". Not for tracking author replies to your comments (use linkedin-thread-monitor).DateFără avertismente★ 5,2 K↓ —Apare și în 1 alt depozit
designlang-tokens
Manavarya09/design-extract
DesignActualizat alaltăieri
De la autor
Use when styling UI for planetscale.com — references the extracted design system tokens instead of inventing colors, spacing, or typography.
Instalare
npx skills add Manavarya09/design-extract --skill designlang-tokens -a claude-code
Se instalează în .claude/skills/designlang-tokens/ · 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 91
Securitate100
Proveniență84
Întreținere100
Licență100
Adopție58
Fișiere (1)
- SKILL.md