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 15 hours ago
48,168 skills
- post-formatterZJU-REAL/Easel用 PAS、AIDA、BAB、STAR、SLAY 等经典框架将主题结构化为社媒帖子。 200-250 字、20 行以内、移动端友好排版。适用于公众号、知乎、微博、LinkedIn 等长文帖子。 当用户说"用 PAS 写"、"AIDA 框架"、"结构化帖子"、"套框架写"时使用。 和 social-content 的区别：post-formatter 严格套用营销框架，social-content 偏自由写作。MarketingNo warnings★ 4.2K↓ —
- physicsnemo-shard-tensorNVIDIA/skillsOfficial NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and register shard patches to enable new layers/ops, and bootstrap multi-GPU correctness tests. Use when working with ShardTensor, scatter_tensor, domain parallelism, sequence/spatial sharding, ring attention, DeviceMesh + DDP/FSDP2 hybrid parallelism, or physicsnemo.domain_parallel. Do NOT use for generic PyTorch DDP/FSDP setup without domain parallelism, picking a PhysicsNeMo model or example (use physicsnemo-discover), or non-distributed training questions.TestingNo warnings★ 3.8K↓ —
- maintain-formal-verification-skillbacknotprop/pstackBring a project's formal verification back in line with the code after the code changes: find the commits that touched verified code, update the model, harness, or properties to describe the code as it is now, rerun, and say whether each failure is drift in the verification or a bug in the code. Use for /maintain-formal-verification-skill, "is the model still true to the code", or after merges and refactors that touched verified code without rechecking it.EngineeringNo warnings★ 3.3K↓ —
- resemble-detectdavepoon/buildwithclaudeDeepfake detection and media safety — detect AI-generated audio, images, video, and text, trace synthesis sources, apply watermarks, verify speaker identity, and analyze media intelligence using Resemble AIMediaNo warnings★ 3.7K↓ —
- 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★ 4.2K↓ —
- 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★ 4.2K↓ —
- clerk-debug-bundlejeremylongshore/tons-of-skills-marketplaceCollect comprehensive debug information for Clerk issues. Use when troubleshooting complex problems, preparing support tickets, or diagnosing intermittent issues. Trigger with phrases like "clerk debug", "clerk diagnostics", "clerk support ticket", "clerk troubleshooting".EngineeringNo warnings★ 2.9K↓ —
- 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★ 4.2K↓ —
- principle-type-system-disciplinebacknotprop/pstackApply when designing types, reviewing a function signature, or writing code in any statically-typed language. Make illegal states unrepresentable, brand semantic primitives, parse external data at boundaries, exhaust variants, derive from authoritative schemas.WritingNo warnings★ 3.3K↓ —
- kiro-spec-tasksgotalab/cc-sddGenerate implementation tasks for a specificationPlanningNo warnings★ 3.7K↓ —
- social-contentZJU-REAL/Easel通用多平台社媒内容（单条/兜底）：钩子文案、正文、标签策略和互动引导，主打**涨粉/互动/内容运营**， 支持微博/抖音/B站/知乎/公众号/X 等；平台不确定或要多平台一次成稿时的默认选择。 当用户说"写条微博""发个帖子""社媒文案""发什么内容""帮我写个帖""涨粉内容""互动内容"时使用。 边界：**小红书整套笔记/图文/种草**找 xhs-note-creator；**带货转化/卖点/详情页**找 copywriting； **严格套 PAS/AIDA 框架排版**找 post-formatter。MarketingNo warnings★ 4.2K↓ —
- setup-bennybacknotprop/pstackConfigure Benny and prepare its triage and repro automations. Use when installing Benny or changing its Slack, tracker, repository, routing, control, model, or budget settings.OtherNo warnings★ 3.3K↓ —
- skill-hook-generatorZJU-REAL/Easel针对任意主题生成多种 Hook（开头钩子）变体，用经过验证的互动公式抓住开头注意力，附字数校验。 当用户说"写钩子""开头怎么写""Hook""抓眼球的开头""标题钩子""前三秒""怎么开头"时使用。 本 SKILL 专攻可复用的开头钩子变体；成篇营销文案用 copywriting，视频分秒脚本用 video-script。MediaNo warnings★ 4.2K↓ —
- principle-boundary-disciplinebacknotprop/pstackApply when wiring validation, error handling, or framework adapters. Concentrate guards at system boundaries (CLI, config, network, external APIs); trust internal types and keep business logic in pure functions.EngineeringNo warnings★ 3.3K↓ —Also in 2 other repos
- 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↓ —
- ops-dashdavepoon/buildwithclaudeInteractive pixel-art command center dashboard. Visual business HQ with instant hotkey navigation to all ops commands, live status indicators, fire alerts, C-suite reports, settings, sharing, and FAQ.OtherNo warnings★ 3.7K↓ —
- orbit-cardheygen-com/hyperframesA single feature card orbits a dot sphere on approved Blender camera motion. HyperFrames block, 1920×1080, 10s, 4 variables.OfficialOtherNo warnings★ 76.3K↓ —
- 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★ 4.2K↓ —
- principle-minimize-reader-loadbacknotprop/pstackApply when reviewing or shaping code that's hard to trace. Count layers between question and answer, and hidden state in the reader's head; collapse one-caller wrappers and shrink mutable scope.EngineeringNo warnings★ 3.3K↓ —
- 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
- 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'.DesignNo warnings★ 3.3K↓ —
- ulw-loopcode-yeongyu/oh-my-openagentA goal-like loop that decomposes work into systematic, evidence-bound ultrawork steps. Use when the user wants a goal loop or durable, checkpointed execution.OtherNo warnings★ 70.5K↓ —
- tao-train-single-stepNVIDIA/skillsStandard single-step train/eval/export workflow for any TAO model. Use when training a TAO model on a dataset without iterative data augmentation, AutoML, or DEFT loops. Trigger phrases include "single train run", "train then evaluate then export", "plain TAO training", "normal training", "no AutoML", "skip the loop". Routes through the per-model SKILL.md for action specifics and through `tao-launch-workflow` for platform/credentials/dataset intake.PlanningNo warnings★ 3.8K↓ —
- code-maturity-assessortrailofbits/skillsSystematic code maturity assessment using Trail of Bits' 9-category framework. Analyzes codebase for arithmetic safety, auditing practices, access controls, complexity, decentralization, documentation, MEV risks, low-level code, and testing, then produces a scorecard with evidence-based ratings and a priority-ordered roadmap. Use when assessing or scoring the maturity of a smart contract or blockchain codebase, producing a maturity scorecard or evaluation, or judging how mature, well-tested, or well-documented such a project is against a rubric.EngineeringNo warnings★ 7.9K↓ —
kermt-monitor
NVIDIA/skills
DevOpsUpdated 2 days ago
From the author
Check progress for a detached KERMT run (pretrain, finetune, or any kermt_run_detached invocation). Reads run.json, queries docker for container state, tails the pretrain/finetune log, and parses progress lines (epoch, step, val loss).
Install
npx skills add NVIDIA/skills --skill kermt-monitor -a claude-code
Installs to .claude/skills/kermt-monitor/ · 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 (5)
- BENCHMARK.md
- SKILL.md
- evals/evals.json
- skill-card.md
- skill.oms.sig