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.
47.307 skill-uri din 2.272 de depozite · actualizat acum 5 ore
46.198 de skill-uri
- ops-godavepoon/buildwithclaudeToken-efficient morning briefing. Pre-gathers all data via shell scripts, then presents a unified business dashboard with prioritized actions.AlteleFără avertismente★ 3,7 K↓ —
- skill-competitor-analysisZJU-REAL/Easel分析竞品账号的内容策略,拆解选题、格式、爆款规律和互动模式,输出差异化机会与行动建议。 当用户说"分析竞品""竞品账号""对标账号""拆解爆款""竞品在做什么""对手内容策略""竞争分析"时使用。 和 skill-content-gap-analysis 的区别:本 SKILL 拆解具体竞品账号的内容策略与爆款规律; content-gap-analysis 从赛道整体供需找"没人做好"的蓝海选题空白。AlteleFără avertismente★ 4,1 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↓ —
- gsd:secure-phasedavepoon/buildwithclaudeRetroactively verify threat mitigations for a completed phaseAlteleFără avertismente★ 3,7 K↓ —
- ai-musicZJU-REAL/EaselAI 音乐 / BGM 生成:给短视频、社媒内容生成原创背景音乐 / 配乐 / 纯音乐。通过可插拔 provider(阿里 DashScope / Suno 类第三方 API)文生音乐,异步提交→轮询→下载,产物可再裁剪/归一化或加到视频。当用户说“AI 音乐”“AI 配乐”“生成 BGM”“背景音乐”“原创音乐”“AI 作曲”“纯音乐”“给视频配乐”“做首曲子”时使用。与 tts-voiceover 的区别:tts-voiceover 生成人声口播/旁白,ai-music 生成背景音乐/配乐(无人声或带演唱)。MediaFără avertismente★ 4,1 K↓ —
- embedding-strategiesforyourhealth111-pixel/Vibe-SkillsSelect and optimize embedding models for semantic search and RAG applications. Use when choosing embedding models, implementing chunking strategies, or optimizing embedding quality for specific domains.PlanificareFără avertismente★ 3,8 K↓ —
- audio-mixZJU-REAL/Easel音频混合 / 混音:把旁白口播 + 背景音乐 + 音效混成一轨,BGM 自动循环补足并可闪避(旁白说话时自动压低 BGM 保证人声清晰)。当用户说 混音、音频混合、旁白加背景音乐、配音加BGM、人声和音乐混一起、加音效、音频叠加、BGM 压低、闪避、ducking、把配音和bgm合起来 时使用。基于 shared/scripts/audio_mix.py。与 audio-editing concat 区别:concat 是前后顺序拼接,本 SKILL 是同时叠加混音;与 video-editing bgm 区别:那个给视频配乐,本 SKILL 输出纯音频。MediaFără avertismente★ 4,1 K↓ —
- gsd:check-todosdavepoon/buildwithclaudeList pending todos and select one to work onAlteleFără avertismente★ 3,7 K↓ —
- gsd:add-backlogdavepoon/buildwithclaudeAdd an idea to the backlog parking lot (999.x numbering)AlteleFără avertismente★ 3,7 K↓ —
- geomasterforyourhealth111-pixel/Vibe-SkillsComprehensive geospatial science skill covering remote sensing, GIS, spatial analysis, machine learning for earth observation, and 30+ scientific domains. Supports satellite imagery processing (Sentinel, Landsat, MODIS, SAR, hyperspectral), vector and raster data operations, spatial statistics, point cloud processing, network analysis, and 7 programming languages (Python, R, Julia, JavaScript, C++, Java, Go) with 500+ code examples. Use for remote sensing workflows, GIS analysis, spatial ML, Earth observation data processing, terrain analysis, hydrological modeling, marine spatial analysis, atmospheric science, and any geospatial computation task.ȘtiințăFără avertismente★ 3,8 K↓ —
- sepiaNanako0129/sepiaMake AI-generated writing read as human-written, in fiction and in professional prose. Repairs the narrative architecture of fiction and stories (based on StoryScope, arXiv:2604.03136); routes professional text through domain rules for release notes, announcements, PR and issue replies, code-review comments, incident postmortems, tickets, work orders, technical articles, blog posts, and long-form journalism. Four operations - write, review (diagnose AI tells without editing), refactor (minimal in-place edits), recreate (full rewrite). Use when asked to humanize, de-AI, unslop, or strip AI flavor from any text; when writing or revising any of these document types; or whenever output must not read as machine-written.ȘtiințăFără avertismente★ 3,5 K↓ —
- documentation-lookupforyourhealth111-pixel/Vibe-SkillsUse when the user needs current library, framework, or API documentation and version-specific code examples.PlanificareFără avertismente★ 3,8 K↓ —
- claude-history-ingestAr9av/obsidian-wikiIngest Claude Code conversation/session history into Obsidian as distilled knowledge. Use for importing or mining past Claude sessions, .claude data, project/session history, or audit logs.InginerieFără avertismente★ 3,6 K↓ —
- tao-train-ocdnetNVIDIA/skillsOCDNet for scene text detection. Detects arbitrary-oriented text regions in natural images using a differentiable binarization approach. Use when training, evaluating, exporting, pruning, quantizing, retraining, or running inference for a TAO OCDNet model. Trigger phrases include "train OCDNet", "scene text detection", "arbitrary-oriented text boxes", "differentiable binarization detector".AlteleFără avertismente★ 3,8 K↓ —
- proposal-drafterdavepoon/buildwithclaudeDraft a tailored freelance proposal or platform profile bio from a real job posting/brief and the freelancer's actual background. Use when responding to a listing on Contra/Upwork/etc, or writing/updating a freelance profile. Never invents experience, clients, or credentials that weren't provided.RedactareFără avertismente★ 3,7 K↓ —
- keyword-researchaaron-he-zhu/aaron-marketing-skillsUse when the user asks to "find keywords", "挖词", or "搜什么词"; prioritizes search volume, keyword difficulty, intent, and topic clusters from provided or connected data. Not for competitor-relative coverage gaps — use content-gap-analysis. 关键词研究/内容选题ȘtiințăFără avertismente★ 3 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↓ —
- performance-testingforyourhealth111-pixel/Vibe-SkillsBenchmark indicator performance with BenchmarkDotNet. Use for Series/Buffer/Stream benchmarks, regression detection, and optimization patterns. Target 1.5x Series for StreamHub, 1.2x for BufferList.TestareFără avertismente★ 3,8 K↓ —
- hypothesis-generationforyourhealth111-pixel/Vibe-SkillsStructured hypothesis formulation from observations. Use when you have experimental observations or data and need to formulate testable hypotheses with predictions, propose mechanisms, and design experiments to test them. Also owns explicit HypoGeniC-style or automated LLM-driven hypothesis generation/testing requests inside this single skill. For open-ended ideation use scientific-brainstorming.TestareFără avertismente★ 3,8 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★ 3,8 K↓ —
- miro-observabilityjeremylongshore/tons-of-skills-marketplaceDesign and implement repository-side Miro instrumentation with safe metrics, rate-credit headers, semantic outcomes, and actionable alerts. Use when operating a Miro integration. Trigger with "monitor Miro integration".DevOpsFără avertismente★ 2,9 K↓ —
- rag-perfNVIDIA/skillsPerformance benchmarking for a deployed NVIDIA RAG Blueprint server: profiling pass + aiperf load test driven by a single YAML config. Not for accuracy / RAGAS scoring (use rag-eval) or for deploying / repairing services (use rag-blueprint).TestareFără avertismente★ 3,8 K↓ —
- opsdavepoon/buildwithclaudeBusiness operations command center. Routes to the right ops command based on what you need — briefing, inbox, fires, projects, comms, triage, linear, revenue, deploy, or yolo mode.DevOpsFără avertismente★ 3,7 K↓ —
- placement-exclusion-manageraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "build my brand-safety exclusion lists", "set placement / topic / content exclusions before launch", "add network and audience exclusions", or "prep the A1 brand-safety evidence for the auditor"; produces a placement/network exclusion list, a content-suitability & sensitive-topic block list, an audience/negative-audience exclusion set, and a packaged A1 brand/placement-safety evidence file for the gate. Not for building the audiences you target — use audience-segment-builder; not for computing the RQS or issuing the A1 verdict — use ad-account-auditor. 品牌安全/排除位置/否定受众列表MarketingFără avertismente★ 3 K↓ —
swarm
backnotprop/pstack
De la autor
Fan out N parallel workers, drain them, and return one report. Use for /swarm, 'swarm this', or parallel coverage, races, gauntlets, and exploration.
Instalare
npx skills add backnotprop/pstack --skill swarm -a claude-code
Se instalează în .claude/skills/swarm/ · 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.
La ce are acces
Verificări de siguranță pe SKILL.md
Niciun avertisment.
De ce 90
Fișiere (1)
- SKILL.md