Agent skills you can check before you install
Public SKILL.md skills from GitHub repositories with 50+ stars and from the vendors themselves, scanned and scored. Install any of them with one command in Claude Code, Cursor, Codex, GitHub Copilot or Gemini CLI.
48,168 skills from 2,325 repositories · updated 21 hours ago
48,168 skills
- tiledbvcfforyourhealth111-pixel/Vibe-SkillsEfficient storage and retrieval of genomic variant data using TileDB. Scalable VCF/BCF ingestion, incremental sample addition, compressed storage, parallel queries, and export capabilities for population genomics.ScienceNo warnings★ 3.8K↓ —Also in 1 other repo
- principle-redesign-from-first-principlesbacknotprop/pstackApply when integrating a new requirement into an existing design.DesignNo warnings★ 3.3K↓ —Also in 1 other repo
- arenabacknotprop/pstackSpawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it. Use for /arena, 'arena this', 'throw it in the arena', or when one attempt at a non-trivial artifact would lock in the wrong shape.ProductivityNo warnings★ 3.3K↓ —
- setup-cmsnowork-studio/notfair-pluginConnect a CMS to notfair SEO tools. Guides users through configuring WordPress, Strapi, Contentful, or Ghost — tests the connection, and writes credentials to .env.local. Once set up, seo-analysis automatically cross- references CMS content against Google Search Console data. Use whenever the user says "connect my CMS", "set up WordPress", "configure Strapi", "add Contentful", "connect Ghost", or "CMS setup". Also trigger if the user asks why no CMS data appears in a seo-analysis report.TestingNo warnings★ 4.1K↓ —
- gtarsforyourhealth111-pixel/Vibe-SkillsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.ScienceNo warnings★ 3.8K↓ —Also in 2 other repos
- 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).TestingNo warnings★ 3.8K↓ —
- kiro-verify-completiongotalab/cc-sddVerify completion and success claims with fresh evidence. Use before claiming a task is complete, a fix works, tests pass, or a feature is ready for GO.TestingNo warnings★ 3.7K↓ —Also in 7 other repos
- meme-generatorZJU-REAL/Easel表情包 / Meme 生成：给图片加经典上下大字（白字黑边）做梗图，或在图上/下加配文条做反应图（'当…的时候'格式）。中英文都支持，自动换行和字号自适应。当用户说 表情包、做表情包、meme、梗图、reaction 图、配图加字、给这张图加字、做个梗、反应图、当xx的时候 时使用。基于 shared/scripts/meme_ops.py（Pillow）。与 card-quote 区别：card-quote 做精致金句卡片，meme-generator 做梗图/表情包；与 image-editing watermark 区别：那个加水印，本 SKILL 加梗字。MediaNo warnings★ 4.2K↓ —
- short-drama-image-promptszenstory-ai/drama-skills为短剧人物、造型、地点、道具和状态编写或修改可直接复制的图片提示词 Markdown。用户提到角色设定图、三视图、参考图、场景板、道具图、风格帧、Look Development、状态变体或局部编辑提示词时使用；不生成图片，也不调用供应商。MediaNo warnings★ 3.6K↓ —Also in 1 other repo
- tts-voiceoverZJU-REAL/Easel文字转语音配音：把文案/脚本合成为 AI 语音口播、旁白、朗读音频。**配了 VOICE_PROVIDER 默认走闭源云 TTS（CosyVoice2 等，有情感、像真人），edge 仅无 key 时兜底**（edge 偏机械/AI 味）；同步输出分句 SRT 字幕、mp3/wav/m4a。合成后可与 BGM 混音或加到视频作旁白。当用户说“配音”“文字转语音”“TTS”“AI 配音”“口播语音”“旁白”“朗读”“把这段文字读出来”“生成语音”“语音合成”时使用。OtherNo warnings★ 4.2K↓ —
- video-chaptersZJU-REAL/Easel视频章节 / 时间戳目录：给中长视频自动生成章节划分和时间戳目录，用于 B站分P/YouTube 章节/视频描述区，方便观众跳转、提升完播。当用户说 视频章节、章节目录、时间戳、分章节、视频目录、chapters、B站章节、YouTube 章节、给视频加时间点、看点目录、视频大纲时间戳 时使用。编排复用 asr.py（带时间轴转录），章节划分与命名由 LLM 完成。与 video-to-article 区别：那个把视频改写成成篇图文，本 SKILL 只出章节时间戳目录。MediaNo warnings★ 4.2K↓ —
- text-condenserZJU-REAL/Easel字数裁剪/摘要：把长文本压缩到指定字数，保留核心信息。支持硬裁剪（严格字数）、 摘要（保留要点）、金句提取（只保留最精华的句子）三种模式。 特别适合从长文生成平台适配的短文。 使用时机：用户说"裁到 140 字"、"压缩一下"、"太长了"、"摘要"、"精简"、 "缩写"、"字数裁剪"、"帮我缩短"、"提炼要点"。 和 text-polisher 的区别：polisher 润色文案不改长度，condenser 压缩篇幅不做质量提升。OtherNo warnings★ 4.2K↓ —
- nvmolkit-usageNVIDIA/skillsUse when writing or debugging nvMolKit Python code for GPU-accelerated RDKit fingerprints, similarity, conformers, clustering, and molecular searches.WritingNo warnings★ 3.8K↓ —
- memoryjeremylongshore/tons-of-skills-marketplaceUse when sharpening a perception or observation you ALREADY formed about conversation state, user behavior, drift, emotional shifts, or cross-turn patterns. Trigger phrases include "what did you notice about X", "the user keeps doing Y", "I sense something has changed", "is the user X-ing", "what does this pattern suggest", "what shifted across our turns", "am I missing something here", "why did the conversation move from X to Y", or any moment requiring verification of whether a felt signal is real or projection. The skill calls the memory MCP tool to retrieve a perception scaffold (perception failure, detection procedure, suppression vectors) that SHARPENS an observation you already have. It is NOT a substitute for observing first. Do NOT trigger for fact extraction, summarization, list-making, factual lookups, or write-heavy memory tasks (storing/retrieving structured data). Memory harness is filter/perception oriented; calling on write-heavy tasks produces scaffold paralysis.ProductivityNo warnings★ 2.9K↓ —
- skill-livestreamZJU-REAL/Easel为直播生成完整方案：直播主题、流程时间表、开场白/过渡语/催单话术/感谢话术/互动话术。 适用于带货直播、知识分享直播、娱乐直播。 当用户说"直播策划"、"直播方案"、"直播话术"、"开播前准备"、"直播流程"、 "直播脚本"、"带货直播"、"怎么开播"、"直播怎么做"、"直播排期"、"写个直播话术"时触发。OtherNo warnings★ 4.2K↓ —
- complexa-targetNVIDIA/skillsAdd, edit, inspect, or validate Proteina-Complexa target definitions for protein binders, ligand binders, and AME motif scaffolding. Use for target registries, chain/residue selectors, hotspots, ligand fields, and incomplete motif inputs. Covers direct YAML edits and complexa target/validate target commands; running a campaign with an already registered target belongs to complexa-design.DesignNo warnings★ 3.8K↓ —
- vaexforyourhealth111-pixel/Vibe-SkillsUse this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.DataNo warnings★ 3.8K↓ —Also in 1 other repo
- image-seonowork-studio/notfair-pluginImage SEO audit — make a site's images discoverable in Google Images and stop them from dragging down Core Web Vitals. Audits alt text quality and coverage, descriptive file names, modern formats (WebP/AVIF), dimensions and compression, responsive srcset, lazy-loading, explicit width/height (CLS), image sitemaps, and ImageObject structured data. Use this skill whenever the user asks about image SEO, alt text, Google Images ranking, image optimization for search, image file size hurting page speed, WebP/AVIF, or image structured data. Trigger on: "image SEO", "alt text", "rank in Google Images", "optimize my images for search", "image alt tags", "WebP", "image compression SEO", "image sitemap", "ImageObject schema", or any image-discoverability / image-performance question. For overall page speed use /seo-analysis; for generating new images use the brand image skills.MediaNo warnings★ 4.1K↓ —
- notion-hello-worldjeremylongshore/tons-of-skills-marketplaceProve a Notion connection, API version, and shared-content boundary with a minimal read-only check. Use when onboarding or diagnosing initial access. Trigger with "test Notion connection", "Notion hello world", or "verify Notion token".ProductivityNo warnings★ 2.9K↓ —
- evals-contextforyourhealth111-pixel/Vibe-SkillsProvides context about the Roo Code evals system structure in this monorepo. Use when tasks mention "evals", "evaluation", "eval runs", "eval exercises", or working with the evals infrastructure. Helps distinguish between the evals execution system (packages/evals, apps/web-evals) and the public website evals display page (apps/web-roo-code/src/app/evals).ProductivityNo warnings★ 3.8K↓ —
- video-to-articleZJU-REAL/Easel把口播、讲座、直播或 Vlog 转录并改写成小红书笔记、公众号文章或知乎内容，同时抽帧配图。当用户说“视频转图文/文章/笔记、视频扒文案、口播转文章、视频内容复用”时使用。只生成字幕文件用 auto-subtitle；翻译已有字幕用 subtitle-translate。MediaNo warnings★ 4.2K↓ —
- fondo-hello-worldjeremylongshore/tons-of-skills-marketplaceVerify Fondo setup by checking financial data sync, reviewing categorized transactions, and confirming R&D tax credit eligibility. Trigger: "fondo first sync", "fondo verify", "fondo hello world", "fondo test".TestingNo warnings★ 2.9K↓ —
- tao-list-capabilitiesNVIDIA/skillsAnswer what the TAO Skill Bank plugin can do by generating the response from packaged application, data, model, AutoML, and platform manifests. Use when the user asks "what can TAO Skill Bank do", "list TAO models", "which TAO workflows are available", or "what supports AutoML".OtherNo warnings★ 3.8K↓ —
- gsd:scandavepoon/buildwithclaudeRapid codebase assessment — lightweight alternative to /gsd:map-codebaseOtherNo warnings★ 3.7K↓ —
tao-train-bevfusion
NVIDIA/skills
OtherUpdated 2 days ago
From the author
BEVFusion for multi-sensor 3D object detection. Fuses LiDAR point clouds and camera images in bird's-eye-view (BEV) space, used in autonomous driving for robust 3D perception. Use when training, evaluating, or running inference for a TAO BEVFusion model. Trigger phrases include "train BEVFusion", "LiDAR + camera fusion", "BEV 3D detection", "multi-sensor 3D perception".
Install
npx skills add NVIDIA/skills --skill tao-train-bevfusion -a claude-code
Installs to .claude/skills/tao-train-bevfusion/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Download .zip
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Instructions onlyNo network use seenLicence: APACHE-2.0
Safety checks on SKILL.md
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Why 90
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Provenance83
Maintenance100
Licence100
Adoption57
Files (16)
- BENCHMARK.md
- SKILL.md
- config/skillspector-baseline.yaml
- evals/evals.json
- references/skill_info.yaml
- references/spec_template_dataset_convert.yaml
- references/spec_template_evaluate.yaml
- references/spec_template_inference.yaml
- references/spec_template_train.yaml
- schemas/dataset_convert.schema.json
- schemas/evaluate.schema.json
- schemas/inference.schema.json
- +4 more