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.
46.099 de skill-uri din 2.198 de depozite · actualizat acum 7 minute
46.099 de skill-uri
- finta-hello-worldjeremylongshore/tons-of-skills-marketplaceSet up your first fundraise pipeline in Finta with investors and deal stages. Use when starting a new fundraise, importing investor lists, or learning Finta's pipeline management features. Trigger with phrases like "finta hello world", "finta first pipeline", "start fundraise in finta", "finta quick start".FinanțeFără avertismente★ 2,9 K↓ —
- nemotron-retrieval-recipesNVIDIA/skillsUse when planning, debugging, tuning, evaluating, exporting, or deploying public Nemotron `embed`/`rerank` retrieval recipes.DevOpsFără avertismente★ 3,8 K↓ —
- nemo-mbridge-resiliencyNVIDIA/skillsResiliency features in Megatron Bridge including fault tolerance, straggler detection, in-process restart, preemption, and re-run state machine.AlteleFără avertismente★ 3,8 K↓ —
- tao-run-inference-serviceNVIDIA/skillsStart, query, and stop a network-specific TAO inference microservice ({network_arch}-inference-microservice) by delegating container execution to the appropriate platform skill. Handles container image resolution, job-payload JSON construction, and the service registry. Use when the user wants to run inference on a TAO model checkpoint using a microservice container, deploy a TAO inference endpoint, or stop a running inference container.DevOpsFără avertismente★ 3,8 K↓ —
- tao-train-rtdetrNVIDIA/skillsRT-DETR (Real-Time DEtection TRansformer) for 2D object detection. Designed for real-time inference with competitive accuracy and supports distillation and quantization for deployment optimization. Use when training, evaluating, distilling, quantizing, exporting, or running inference for a TAO RT-DETR model. Trigger phrases include "train RT-DETR", "real-time DETR", "low-latency object detection", "RT-DETR distillation / quantization".DevOpsFără avertismente★ 3,8 K↓ —
- scientific-reportingforyourhealth111-pixel/Vibe-SkillsWrite research/technical reports with strong structure + figure standards. Supports Markdown/HTML/PDF outputs (Quarto optional), executive summary, methods, results, discussion, and reproducibility appendix.ȘtiințăFără avertismente★ 3,8 K↓ —
- hsb-ip-create-topNVIDIA/skillsCreate or explain fixed-format HSB FPGA_top.sv wrappers from validated HOLOLINK_def.svh files. Do not use for def generation or validation.AlteleFără avertismente★ 3,8 K↓ —
- jev-socialdavepoon/buildwithclaudeRun browser-grounded social research without remote account mutations through Jev Social when a user wants posts, profiles, comments, video evidence, or a source-linked report from Instagram, TikTok, or LinkedIn and the local socai CLI reports support for that platform. Do not use for publishing, engagement actions, or general web research.BrowserFără avertismente★ 3,7 K↓ —
- figure-it-outbacknotprop/pstackDesign an auditable playbook when no narrower one fits: a large migration, an ambitious multi-part change, or work a human reviews after stepping away. Scales rigor to the task, runs a hypothesis loop, and logs decisions. Use for /figure-it-out or 'figure it out'.DesignFără avertismente★ 3,1 K↓ —
- navan-cost-tuningjeremylongshore/tons-of-skills-marketplaceAnalyze Navan travel, expense, integration, and operating costs without freezing mutable prices. Use when setting budgets or evaluating workflow tradeoffs. Trigger with "reduce Navan cost", "Navan budget", or "control travel spend".ProductivitateFără avertismente★ 2,9 K↓ —
- gsd:nextdavepoon/buildwithclaudeAutomatically advance to the next logical step in the GSD workflowProductivitateFără avertismente★ 3,7 K↓ —
- tao-train-dinoNVIDIA/skillsDINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".AlteleFără avertismente★ 3,8 K↓ —
- positioning-mapperActualizataaron-he-zhu/aaron-marketing-skillsUse when the user asks to "map our positioning", "name our competitive alternatives", or "pick a beachhead segment for the launch"; produces a Dunford-style positioning canvas — named competitive alternatives (including spreadsheet and status quo), unique attributes (verifiable, or routed to the claims ledger), value themes (attribute→benefit→value chains), a target beachhead segment scored on serviceability / pain intensity / reachability, and a one-sentence onlyness statement — the sole upstream of the message house and the entity-signal source for the canonical entity profile. Not for the message house or per-channel launch copy — use message-house-builder; not for audience/persona profiling itself — use audience-mapper; not for SEO keyword positioning — use keyword-research. 定位画布/竞争替代品/独特价值/滩头细分DateFără avertismente★ 3 K↓ —
- sentry-hello-worldjeremylongshore/tons-of-skills-marketplaceCapture your first test error with Sentry and verify it appears in the dashboard. Use when testing a new Sentry integration, verifying error capture works after install-auth, or learning how to enrich events with user context, tags, and breadcrumbs. Trigger with phrases like "test sentry", "sentry hello world", "verify sentry", "first sentry error", "sentry capture test".TestareFără avertismente★ 2,9 K↓ —
- clari-debug-bundlejeremylongshore/tons-of-skills-marketplaceAnalyze a Clari incident and collect a minimal support bundle with job timelines, contract fingerprints, and secret-safe evidence. Use when escalating a provider or pipeline failure. Trigger with: "collect Clari diagnostics", "build a Clari support bundle", "redact a Clari incident".InginerieFără avertismente★ 2,9 K↓ —
- yt-outlinejeremylongshore/tons-of-skills-marketplaceBuild detailed step-by-step YouTube video outlines with demo prep, screen-share sequences, and visual planning. Use this skill whenever the user says "create an outline", "outline this video", "video outline", "build the outline", "production outline", or has an approved brief and packaging and needs the final pre-production document before demo prep and filming. Use when working with yt outline. Trigger with 'yt', 'outline'.MediaFără avertismente★ 2,9 K↓ —
- skill-content-calendar-logZJU-REAL/Easel统一内容日历底座。记录每次发布（发布页/对话页均自动落库）、用户排期、平台活动/节日/特殊日期到 一个时间线，并供 Agent 规划前读回。当用户说"内容日历""日历里有什么""接下来发什么""这周发了啥" "把这个活动记到日历""最近的发布节奏""哪个平台该更新了"时触发。是发布时间线的权威底座， 与 skill-publish-log（指标底座）互补：本底座管"何时发什么/该做什么"，publish-log 管"每条数据表现"。ProductivitateFără avertismente★ 4,2 K↓ —
- golang-dependency-injectionsamber/cc-skills-golangComprehensive guide for dependency injection (DI) in Golang. Covers why DI matters (testability, loose coupling, separation of concerns, lifecycle management), manual constructor injection, and DI library comparison (google/wire, uber-go/dig, uber-go/fx, samber/do). Use this skill when designing service architecture, setting up dependency injection, refactoring tightly coupled code, managing singletons or service factories, or when the user asks about inversion of control, service containers, or wiring dependencies in Go. For a specific DI library, → See `samber/cc-skills-golang@golang-google-wire`, `samber/cc-skills-golang@golang-uber-dig`, `samber/cc-skills-golang@golang-uber-fx`, or `samber/cc-skills-golang@golang-samber-do` skills.PlanificareFără avertismente★ 3,7 K↓ —
- adobe-hello-worldjeremylongshore/tons-of-skills-marketplaceProve one Adobe API connection with a current, read-only or synthetic operation and a content-safe receipt. Use during onboarding before any production workflow. Use when the task requires adobe minimal access proof. Trigger with "Adobe hello world", "test Adobe connection", or "verify Adobe entitlement".TestareFără avertismente★ 2,9 K↓ —
- skill-audience-profilerZJU-REAL/Easel构建目标受众画像：分析粉丝人群特征、痛点需求、内容偏好和触达渠道，输出可执行的受众画像卡。 当用户说"受众画像""粉丝画像""我的用户是谁""目标人群""用户痛点""受众分析""谁在看我"时使用。 构建的是受众/粉丝画像，创作者自己的声音画像用 skill-voice-builder。AlteleFără avertismente★ 4,2 K↓ —
- umap-learnforyourhealth111-pixel/Vibe-SkillsUMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.AlteleFără avertismente★ 3,8 K↓ —Apare și în 1 alt depozit
- rtvi-vlm-customize-modelNVIDIA/skillsHow to swap the VLM in the VSS Alerts Blueprint — covers RTVI-VLM microservice deployment methods, all three VLM consumers (rtvi-vlm, vlm-as-verifier, vss-agent), and health checks.DevOpsFără avertismente★ 3,8 K↓ —
- create-planforyourhealth111-pixel/Vibe-SkillsCreate a concise plan. Use when a user explicitly asks for a plan related to a coding task.PlanificareFără avertismente★ 3,8 K↓ —
- skill-persona-checkZJU-REAL/Easel人设一致性检查与品牌调性检查：对比内容与创作者画像的账号定位、内容赛道、形式、受众、 风格和偏好， 输出一致性评分和具体偏离点。当用户说"符合我的人设吗"、"一致性检查"、"风格对不对"、 "像我写的吗"、"品牌一致"、"调性检查"、"这是我的风格吗"、"人设偏了没"、 "语气对不对"、"品牌声音检查"时触发。 必须有 Profile 才能工作；无 Profile 时提示先创建。AlteleFără avertismente★ 4,2 K↓ —
dexpaprika-api
davepoon/buildwithclaude
InginerieActualizat acum 7 ore
De la autor
Access DeFi data from DexPaprika: token prices, liquidity pools, OHLCV, transactions across 34+ blockchains and 30M+ pools. Free, no API key needed. Install MCP: add https://mcp.dexpaprika.com/sse as SSE server, or install plugin: /plugin marketplace add coinpaprika/claude-marketplace
Instalare
npx skills add davepoon/buildwithclaude --skill dexpaprika-api -a claude-code
Se instalează în .claude/skills/dexpaprika-api/ · 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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- SKILL.md