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.
47,966 skills from 2,309 repositories · updated 17 hours ago
47,966 skills
- audio-denoiseZJU-REAL/Easel音频降噪:去除录音中的背景噪声、电流声、风噪、嗡嗡声,基于 ffmpeg 滤镜链(afftdn/highpass/lowpass)。 当用户说"降噪""去噪""去杂音""消除背景噪声""电流声""风噪""录音有杂音""音频降噪"时使用。 和 audio-editing 的区别:audio-editing 做剪辑/转码/音量等通用音频操作(内置 denoise 兜底),本 SKILL 专做降噪调参。MediaNo warnings★ 4.2K↓ —
- channel-portfolio-planneraaron-he-zhu/aaron-marketing-skillsUse when the user asks to "pick which social channels to run", "should we be on X platform or 小红书", or "plan our organic social channel portfolio"; produces an audience/objective-first portfolio with capability/access matrix, cadence-budget reality check, declared ECHO operating profile, boundary routing, and proposed-state registry events. Not for recording canonical channel facts — use channel-registry. 社媒渠道选择/渠道组合规划/平台能力矩阵/自然社媒PlanningNo warnings★ 3K↓ —
- adjudicate-regressiontrailofbits/skillsUse when deciding whether source and live reproduction evidence establish a new regression or an exclusion.OtherNo warnings★ 7.9K↓ —
- correctbacknotprop/pstackFind the mistakes agents keep repeating in this repo and make each one impossible. Try architecture first, then types, then a lint whose error names the fix, then a test, and write docs last. Prove each check fails on a real past mistake. Repeat this each time the operator corrects you. Use for /correct.TestingNo warnings★ 3.2K↓ —
- 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↓ —
- harness-writingtrailofbits/skillsDesigns and improves fuzzing harnesses for C/C++ and Rust. Covers mapping raw bytes onto a target API, generating structured inputs, avoiding non-determinism and false crashes, and deciding what to fuzz together. Use when writing a first LLVMFuzzerTestOneInput or fuzz_target! harness, when a campaign finds nothing or reports crashes that will not reproduce, or when the target API needs structured rather than raw input.WritingNo warnings★ 7.9K↓ —
- programmatic-seonowork-studio/notfair-pluginProgrammatic SEO planning and audit: building or evaluating large sets of template-generated pages that target long-tail query patterns (e.g. "[service] in [city]", "[product] vs [product]", "[tool] for [use-case]"). Covers data-source and template design, thin/duplicate-content and doorway-page risks, per-page uniqueness and value thresholds, internal linking and hubs, indexation management (publish vs. noindex), and scaling without a manual action. Use whenever the user wants to generate many pages from a template/dataset, build location/comparison/use-case pages at scale, or asks why generated pages aren't indexing. Trigger on: "programmatic SEO", "pSEO", "generate pages at scale", "templated pages", "location pages at scale", "comparison pages", "[city] pages", "my generated pages aren't indexed", "doorway pages", "scale content". For one-off content use /content-writer; for keyword discovery use /keyword-research.MarketingNo warnings★ 4.1K↓ —
- 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
- green-screenZJU-REAL/Easel绿幕抠像 / 换背景 / 合成:把绿幕(或蓝幕/指定色)拍摄的前景人物抠出来,合成到新背景——图片、视频、纯色或前景自身模糊。当用户说 绿幕、抠像、抠图换背景、去绿幕、chromakey、绿幕合成、换背景、蓝幕、把绿幕背景换掉、人物抠出来、绿布 时使用。基于 shared/scripts/chromakey.py(ffmpeg chromakey + despill)。与 video-reframe 区别:reframe 只改画幅不换背景;与 ai-image-gen 区别:那个生成新图,本 SKILL 处理已拍的绿幕素材。MediaNo warnings★ 4.2K↓ —
- keeping-git-repos-cleankajisho5/ffmpeg-skillPrevents, detects, and remediates files that should never be committed — secrets (.env, API tokens, hardcoded credentials) and dev artifacts (build output, scratch databases, editor/OS files). Covers .gitignore (and why it does not untrack), git rm --cached, auditing tracked files, history scrubbing, and credential rotation. Use when a repo has committed secrets or junk, when setting up a new repo's ignore rules, or when reviewing what a repo actually tracks.EngineeringNo warnings★ 4.1K↓ —
- wiki-dashboardAr9av/obsidian-wikiCreate dynamic, queryable Obsidian dashboard views using Bases or Dataview. Use for auto-updating tables, indexes, or structured views of vault content; not for ordinary question answering.ProductivityNo warnings★ 3.6K↓ —
- 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".DevOpsNo warnings★ 2.9K↓ —
- jetson-customize-cameraNVIDIA/skillsEnable MIPI/GMSL camera sensors on a Jetson Thor or Orin custom carrier by rendering a kernel-DT overlay from the in-tree sensor DTSI. Do NOT use for UPHY lane allocation or ODMDATA edits.MediaNo warnings★ 3.8K↓ —
- spenddavepoon/buildwithclaudeShow current Claude Code spend by project and branch via BudgetClawEngineeringNo warnings★ 3.7K↓ —
- semgrep-rule-creatortrailofbits/skillsCreates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns. Use when writing Semgrep rules or building custom static analysis detections.SecurityNo warnings★ 7.9K↓ —
- meta-tags-optimizernowork-studio/notfair-pluginOptimize title tags, meta descriptions, Open Graph, and Twitter cards for maximum click-through rate. Generates multiple A/B test variations with character counting and SERP preview. Use when asked to "optimize title tag", "write meta description", "improve CTR", "Open Graph tags", "fix my meta tags", "social media preview", "my click rate is low", "title optimization", or any meta tag task.TestingNo warnings★ 4.1K↓ —
- paid-ads-chatgptnowork-studio/notfair-pluginPlan and review ChatGPT Ads experiments without assuming ad inventory, account access, or platform capabilities. Use for ChatGPT advertising, OpenAI ads, conversational ad concepts, ChatGPT campaign plans, or performance reviews from a verified export.MarketingNo warnings★ 4.1K↓ —
- tao-train-codetrNVIDIA/skillsCo-DETR (CoDINO) for object detection. A DETR-family detector with collaborative hybrid assignment — auxiliary one-to-many heads supervise the encoder during training, giving strong closed-set accuracy at high inference cost. Use when training, evaluating, or running inference for a TAO Co-DETR model. Trigger phrases include "train Co-DETR", "run CoDINO", "codetr inference", "collaborative DETR", "autolabel detections with Co-DETR".OtherNo warnings★ 3.8K↓ —
- shipping-build-artifactskajisho5/ffmpeg-skillMake the build step a real gate on what you actually distribute — build scripts that warn and exit 0 on a missing input, size checks with only an upper bound, hand-maintained file lists that drift from the entrypoints they must cover, committed bundles that go stale when only the source changes, GNU-only shell in release scripts that aborts on the other OS, and verification that runs against the source tree instead of the artifact. Use when writing or reviewing a build/package script, a `dist/` copy step, a release workflow that uploads a zip or installer, or a committed compiled asset.WritingNo warnings★ 4.1K↓ —
- copywritingZJU-REAL/Easel国内带货转化营销文案:提炼卖点并产出种草、信息流广告、活动促销、电商详情页或落地页的标题、正文和 CTA。 当用户说“写种草/广告/活动/促销/详情页/落地页文案、提炼卖点、广告语”时使用。 整套小红书笔记用 xhs-note-creator;涨粉互动内容用 social-content;严格套 PAS/AIDA 等框架用 post-formatter。MarketingNo warnings★ 4.2K↓ —
- multi-voice-dubbingZJU-REAL/Easel多角色对话配音:按 cast 和逐行对白为不同角色分配音色与情绪,合成多声线音轨和带角色名字幕。 当用户说“多角色/双人/剧本/对话配音、多人对白、不同角色不同声音、有声剧配音”时使用。 单一公共音色用 tts-voiceover;克隆本人音色用 voice-clone;整部短剧制作由 short-drama 编排。OtherNo warnings★ 4.2K↓ —
- drill-statusdavepoon/buildwithclaudeShow drill-me learning progress — topics studied, cards due for review, weakest concepts, and what to study next. Use when the user asks what's due, how their learning is going, or for their drill-me status.EngineeringNo warnings★ 3.7K↓ —
- 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.ScienceNo warnings★ 3.8K↓ —
- offensive-iotSnailSploit/Claude-RedIoT and embedded device security testing methodology. Covers hardware reconnaissance (UART, JTAG, SWD, SPI flash, I2C EEPROM, eMMC chip-off), firmware acquisition (vendor portals, OTA capture, flash dump, binwalk extraction), firmware analysis (filesystem mounting, binary triage, hardcoded secrets, default credential discovery), bootloader attacks (U-Boot console, secure-boot bypass, fault injection), runtime attacks on embedded Linux/RTOS (busybox CVEs, MTD writes, /dev/mem), wireless protocol attacks (Zigbee, BLE, Z-Wave, LoRaWAN, Thread/Matter, sub-GHz), MQTT/CoAP/Modbus/BACnet/OPC-UA exploitation, mobile companion app analysis, cloud-IoT API abuse, and side-channel/glitching basics. Use for IoT pentest, smart-home assessment, ICS/OT testing, or embedded vulnerability research.SecurityNo warnings★ 9.9K↓ —
LQF_Machine_Learning_Expert_Guide
foryourhealth111-pixel/Vibe-Skills
From the author
LQF Machine Learning Expert Guide - Routed skill for ML/Statistical Modeling with Critical Discussion Mode. Triggers on: machine learning, modeling, prediction, training, classification, regression, clustering, deep learning, neural network, model evaluation, feature engineering, hyperparameter tuning, overfitting, underfitting, baseline, ablation study, critique my approach, review my model, is this a good idea, should I use, what's wrong with, evaluate my solution, challenge my assumptions, discuss my approach Engages in critical discussion with minimum 3 rounds of iterative refinement. Challenges both user proposals and own suggestions with fact-based critique. Demands evidence and baselines before accepting solutions.
Install
npx skills add foryourhealth111-pixel/Vibe-Skills --skill LQF_Machine_Learning_Expert_Guide -a claude-code
Installs to .claude/skills/LQF_Machine_Learning_Expert_Guide/ · Each command fetches the skill straight from GitHub with the open skills CLI.
Byte-identical to the scanned commit, with the repository’s licence and a SOURCE.txt.
What it can touch
Safety checks on SKILL.md
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Why 90
Files (4)
- SKILL.md
- references/expert-thinking.md
- references/index.md
- references/workflow-guide.md