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.
48,622 skills from 2,355 repositories · updated 2 hours ago
48,622 skills
- doca-compressNVIDIA/skillsHardware compression offload with DOCA Compress on a BlueField DPU, ConnectX NIC, or host: DEFLATE compress and decompress, plus LZ4 decompress (stream and block; LZ4 encode is NOT supported), instead of CPU zlib / zstd. Trigger on "offload this gzip", "decompress incoming network data on the NIC", "compress task returns INVALID_VALUE on alloc_init", "submitted a task but no completion arrives", or "decompress LZ4 on the BlueField", even without naming DOCA Compress. Covers enabling compress-deflate, decompress-deflate, decompress-lz4-stream and decompress-lz4-block tasks on a doca_compress context, sizing source / destination doca_buf against the per-task cap query, mmap permissions, offload vs CPU decisions, a round-trip smoke, and DOCA_ERROR_* from Compress calls. Refuse and route elsewhere for zstd / Snappy / brotli, LZ4 encode (a CPU LZ4 library), pure mmap-to-mmap copies (doca-dma), or DOCA Core lifecycle internals.ProductivityNo warnings★ 3.8K↓ —
- 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。LegalNo warnings★ 4.3K↓ —
- audio-visualizerZJU-REAL/Easel音频可视化视频：把纯音频（播客片段、音乐、口播金句、电台）渲染成带动态波形/频谱的视频，配封面和标题，好发到抖音/B站/视频号等只收视频的平台。当用户说 音频可视化、音频转视频、播客做成视频、音频波形视频、音乐可视化、给音频配画面、声波视频、频谱视频、把音频发到视频平台、电台切片视频 时使用。基于 shared/scripts/audio_viz.py（ffmpeg showwaves/showcqt/showspectrum）。与 audio-mix 区别：那个输出音频，本 SKILL 输出视频；与 slideshow-video 区别：那个用图片，本 SKILL 用音频驱动画面。MediaNo warnings★ 4.3K↓ —
- video-reframeZJU-REAL/Easel智能转换视频画幅，支持 9:16/16:9/1:1、模糊背景填充、焦点裁切和人脸居中裁切。当用户说“横竖版互转、改成 9:16、转竖屏、去黑边、适配平台尺寸、人脸居中裁”时使用。通用简单裁切用 video-editing；逐段动态人脸跟随切片用 clipify。MediaNo warnings★ 4.3K↓ —
- text-polisherZJU-REAL/Easel文本润色打磨：七轮聚焦扫描（清晰度/语气/价值感/证据/具体性/情感/风险） + 去 AI 感改写（砍填充短语、打破公式化结构、主动语态、变化节奏）。 当用户说"帮我改一下"、"润色"、"文案打磨"、"编辑文案"、 "去 AI 感"、"太像 AI 了"、"改自然"、"校对"、"文案优化"时使用。 合并了原 copy-editing（系统化编辑）和 stop-slop（去 AI 感）的能力。WritingNo warnings★ 4.3K↓ —
- video-strategyZJU-REAL/Easel视频制作策略与工具选型：AI 视频生成模型对比、视频脚本结构设计、制作流程规划，覆盖产品演示/解说/社媒短视频场景。 当用户说"视频怎么做""视频选型""用什么工具做视频""视频制作流程""视频策略""视频系列规划"时使用。 和 video-script 的区别：video-strategy 做内容规划与工具选型，video-script 写具体某条视频的脚本。MediaNo warnings★ 4.3K↓ —
- jetson-customize-mgbeNVIDIA/skillsEnable Jetson Thor 25G/10G/1G MGBE QSFP via kernel-DT overlay. Do NOT use for UPHY lane allocation or ODMDATA edits.WritingNo warnings★ 3.8K↓ —
- voice-cloneZJU-REAL/Easel上传本人语音样本克隆专属音色，再用它合成口播、旁白或带货语音。当用户说“声音克隆、克隆/复刻我的声音、用我的声音配音、定制专属音色”时使用，需要用户自备云端 provider 凭证。使用公共现成音色时改用 tts-voiceover。OtherNo warnings★ 4.3K↓ —
- jetson-customize-pcieNVIDIA/skillsPer-controller PCIe enable / disable / lanes / link-speed for a Jetson Thor or Orin custom carrier via ODMDATA + kernel-DT overlay. Do NOT use for UPHY lane allocation or endpoint-mode bring-up.OtherNo warnings★ 3.8K↓ —
- lindy-rate-limitsjeremylongshore/tons-of-skills-marketplaceManage Lindy AI credits, rate limits, and usage optimization. Use when hitting rate limits, optimizing credit consumption, or implementing usage controls. Trigger with phrases like "lindy rate limit", "lindy credits", "lindy quota", "lindy throttling", "lindy API limits".EngineeringNo warnings★ 2.9K↓ —
- lindy-cost-tuningjeremylongshore/tons-of-skills-marketplaceOptimize Lindy AI costs through credit management, model selection, and agent consolidation. Use when reducing spend, analyzing credit usage patterns, or optimizing budget allocation across agents. Trigger with phrases like "lindy cost", "lindy billing", "reduce lindy spend", "lindy budget", "lindy credits".OtherNo warnings★ 2.9K↓ —
- hypothesis-testerjeremylongshore/tons-of-skills-marketplaceStructured hypothesis formulation, experiment design, and results interpretation for Product Managers. Use when the user needs to validate an assumption, design an A/B test, or evaluate results. Trigger with "hypothesis", "A/B test", "experiment", "validate assumption", "test this", or "should we ship".TestingNo warnings★ 2.9K↓ —
- hex-common-errorsjeremylongshore/tons-of-skills-marketplaceDiagnose and fix Hex common errors and exceptions. Use when encountering Hex errors, debugging failed requests, or troubleshooting integration issues. Trigger with phrases like "hex error", "fix hex", "hex not working", "debug hex".EngineeringNo warnings★ 2.9K↓ —
- groq-sdk-patternsjeremylongshore/tons-of-skills-marketplaceApply production-ready Groq SDK patterns for TypeScript and Python. Use when implementing Groq integrations, refactoring SDK usage, or establishing team coding standards for Groq. Trigger with phrases like "groq SDK patterns", "groq best practices", "groq code patterns", "idiomatic groq".EngineeringNo warnings★ 2.9K↓ —
- recalldavepoon/buildwithclaudeSearch Origin's local memory by query. Targeted lookup, not orientation. Invoked as `/recall <query>`. Use when the user asks "do you remember", "what do you know about", "look up".ProductivityNo warnings★ 3.7K↓ —
- tubeifydavepoon/buildwithclaudeRemove pauses, filler words (um, uh), and dead air from raw YouTube recordings via the Tubeify API. Use when the user wants to edit a video, clean up audio, trim silences, or polish a raw recording for YouTube.MediaNo warnings★ 3.7K↓ —
- i4h-workflow-finetuneNVIDIA/skillsFine-tune a manifest-backed GR00T or openpi remote Task on compatible LeRobot data. Use for training; do not use for inference-only Tasks or checkpoint rollout.ProductivityNo warnings★ 3.8K↓ —
- i4h-workflow-train-rlNVIDIA/skillsUse when training, evaluating, or exporting Workflow policies with online RSL-RL or RLinf, including RL checkpoint and Workflow handoff.ProductivityNo warnings★ 3.8K↓ —
- groq-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect Groq debug evidence for support tickets and troubleshooting. Use when encountering persistent issues, preparing support tickets, or collecting diagnostic information for Groq problems. Trigger with phrases like "groq debug", "groq support bundle", "collect groq logs", "groq diagnostic".EngineeringNo warnings★ 2.9K↓ —
- navan-data-syncjeremylongshore/tons-of-skills-marketplaceSynchronize Navan booking, expense, identity, and file-delivered data according to each documented source contract. Use when building durable ETL or correcting sync drift. Trigger with "Navan data sync", "Navan ETL", or "reconcile Navan feeds".DataNo warnings★ 2.9K↓ —
- readdavepoon/buildwithclaudePreview a distilled wiki page from inside Claude Code. Prints title, summary, source count, and the local md path. Full body lives on disk — open with the user's editor. Invoked as `/read <title_or_id>`.WritingNo warnings★ 3.7K↓ —
- tao-train-mask-auto-labelNVIDIA/skillsMAL (Mask Auto-Label) for weakly-supervised segmentation. Produces segmentation masks from minimal annotations (point or box annotations) using a ViT-MAE backbone. Use when training, evaluating, or running inference for a TAO MAL model. Trigger phrases include "train MAL", "Mask Auto-Label", "weakly-supervised segmentation", "box-prompted segmentation", "minimal-annotation mask prediction".OtherNo warnings★ 3.8K↓ —
- whybacknotprop/pstackUse for 'why does X work this way', 'why we picked Y', design rationale, regressions, postmortems, or data-backed thresholds. Discovers available MCPs and queries each evidence category (source control, issue tracker, long-form docs, real-time chat, infrastructure observability, error tracking, product analytics warehouse) in parallel, then returns a cited read on decisions and tradeoffs. Use how for runtime behavior.DevOpsNo warnings★ 3.3K↓ —
- forgetdavepoon/buildwithclaudeDelete a memory from Origin by ID. Destructive and cannot be undone — prefer `/capture` with `supersedes` for corrections. Invoked as `/forget <source_id>`.ProductivityNo warnings★ 3.7K↓ —
doca-sta
NVIDIA/skills
OtherUpdated 2 days ago
From the author
Use this skill when the user builds an NVMe-over-Fabrics storage target on BlueField with DOCA STA — instantiating doca_sta, declaring doca_sta_subsystem NQNs and namespaces over local NVMe disks via doca_sta_be, validating platform support with doca_sta_cap_is_supported, sizing I/O queue depth, or decoding DOCA_ERROR_* statuses such as IO_FAILED on NVMe reads. Also load it for implied asks like "Identify Controller times out over RoCE", "offload the nvmf target", "NVMe-oF Connect never completes", or "16 I/O queues at depth 1024 — supported?". Refuse and route to the proper owner for raw RDMA movement, packet I/O, steering rules, initiator-side NVMe, or SDK install.
Install
npx skills add NVIDIA/skills --skill doca-sta -a claude-code
Installs to .claude/skills/doca-sta/ · 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
No warnings.
Why 90
Security100
Provenance83
Maintenance100
Licence100
Adoption57
Files (8)
- BENCHMARK.md
- CAPABILITIES.md
- SKILL.md
- SKILLCARD.yaml
- TASKS.md
- evals/evals.json
- skill-card.md
- skill.oms.sig