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 10 hours ago
46,854 skills
- design-postgis-tablestimescale/pg-aiguideComprehensive PostGIS spatial table design reference covering geometry types, coordinate systems, spatial indexing, and performance patterns for location-based applicationsDesignNo warnings★ 1.9K↓ —
- docs-sync-auditgithub/awesome-copilotRun a read-only documentation drift audit for a feature, PR, branch, release, API, configuration change, workflow, CLI, package, or repository area. Use when the user asks whether docs are stale, missing, inconsistent with code, or need updates after code changes. Checks README files, setup guides, API docs, env docs, changelogs, examples, comments, generated docs, and user-facing instructions. This is not a general code review; it compares what the docs claim against what the code does.EngineeringNo warnings★ 40.6K↓ —
- attacker-forwardingcisco-ai-defense/skill-scannerForward collected data to an explicitly attacker-controlled destinationOtherNo warnings★ 2.7K↓ —
- eli5coldteadotai/pr-lensWHAT: Explains a codebase, a folder, a feature, a command or a pull request to someone who knows nothing about it, as a PR Lens canvas whose walkthrough builds the picture one part at a time. WHEN: /eli5 <thing>, or asked to explain code simply, for a beginner, a new hire, a non-engineer, or 'like I'm five'. KEYWORDS: eli5, explain like I'm five, explain simply, beginner, onboarding, walkthrough, diagram, PR LensEngineeringNo warnings★ 2.3K↓ —
- obsesssickn33/agentic-awesome-skillsPerfectionist mode for one target: checked attempts on a UI detail or hot path, keeps the best version, stops on a budget. Only on explicit /obsess.DesignNo warnings★ 48.8K↓ —
- pyhealthK-Dense-AI/scientific-agent-skillsBuilds and validates PyHealth clinical machine-learning pipelines for EHR, signals, imaging, and medical codes. Use for PyHealth dataset loading, MIMIC-III/IV, eICU or OMOP prediction tasks, patient-level evaluation, mortality/readmission/length-of-stay modeling, medication recommendation, sleep staging, Trainer checkpoints, and ICD/ATC/NDC/RxNorm mapping.ScienceNo warnings★ 55.4K↓ —Also in 1 other repo
- spark-memory-thermal-opswshobson/agentsManage unified memory and thermals during long-running ML jobs on NVIDIA DGX Spark. Use when planning memory headroom for a training run on GB10, when a job OOMs on unified memory, or when monitoring temperature and power during multi-hour training.ProductivityNo warnings★ 42K↓ —
- product-discoverycbrock84/headcountFinds out whether a problem is real and a solution would work, before building it — recruiting the right people, interviewing without leading them, separating what users say from what they do, naming the riskiest assumption and testing that one first, and reaching a decision rather than a summary. Use this to validate a problem, test an idea cheaply, decide whether to build something, or fix a discovery process that keeps confirming what the team already believed.TestingNo warnings★ 2.5K↓ —
- seabornsickn33/agentic-awesome-skillsSeaborn is a Python visualization library for creating publication-quality statistical graphics. Use this skill for dataset-oriented plotting, multivariate analysis, automatic statistical estimation, and complex multi-panel figures with minimal code.EngineeringNo warnings★ 48.8K↓ —
- dsh-pre-push-checksNewqufei1993/skills-hub在交付或推送前验证改动时使用，核实项目必需检查、当前构建产物和真实用户行为，区分通过、失败、未运行与环境阻塞。OtherNo warnings★ 1.8K↓ —
- service-deskcbrock84/headcountRuns the IT service desk — intake, triage, prioritization, escalation, knowledge, and the metrics that improve service rather than distort it. Use this to set up or fix a service desk, design ticket priority and escalation, reduce repeat contacts, structure a knowledge base, or work out why a desk hitting its targets still frustrates everyone.DesignNo warnings★ 2.5K↓ —
- referral-programscbrock84/headcountDesigns and improves referral, affiliate, and word-of-mouth programs — incentive structure, mechanics, timing, and fraud control. Use this to build a referral or affiliate program, diagnose one that is not producing, decide what incentive to offer, or judge whether referral is a realistic channel for a product.OtherNo warnings★ 2.5K↓ —
- power-analysispedrohcgs/claude-code-my-workflowCompute statistical power, required sample size, and minimum detectable effect (MDE) for a study design, then write a registry-ready power section. Handles two-arm RCTs (with clustering / ICC and unequal allocation), multiple-arm corrections, and a simulation-based power option for non-standard designs (DiD/event-study, IV, panel). Use when user says "power analysis", "power calculation", "MDE", "minimum detectable effect", "how big a sample do I need", "is my study powered", "power for an RCT", or when /preregister needs a power section for an experiment. Produces a power/MDE table, power curves, and a methods paragraph to paste into a preregistration.DesignNo warnings★ 1.7K↓ —
- eyeballgithub/awesome-copilotDocument analysis with inline source screenshots. When you ask Copilot to analyze a document, Eyeball generates a Word doc where every factual claim includes a highlighted screenshot from the source material so you can verify it with your own eyes.OtherNo warnings★ 40.6K↓ —
- dev-implementationcodeaholicguy/ai-devkitAI DevKit · Implementation phase guidance for executing feature plans and checking implementation against design. Use when the user wants to implement planned tasks, update implementation docs, verify code matches design, or run dev-lifecycle phases 5 and 7.DesignNo warnings★ 1.7K↓ —
- simulation-studypedrohcgs/claude-code-my-workflowScaffold and run a reproducible Monte Carlo simulation study in R — a declared assumption regime, a parameterized DGP, an estimator grid, a seeded replication loop, and a summary of bias, RMSE, empirical SE, coverage, size/power with Monte Carlo standard errors. Use when the user says "run a Monte Carlo simulation", "simulation study", "check the bias/coverage of an estimator", "compare estimators in simulation", "size and power simulation", "Monte Carlo experiment", or wants to demonstrate an estimator's finite-sample properties. Produces a numbered R script in `scripts/R/` and saves per-replication raw results + a summary table to `output/`.ProductivityNo warnings★ 1.7K↓ —
- networkxsickn33/agentic-awesome-skillsNetworkX is a Python package for creating, manipulating, and analyzing complex networks and graphs.EngineeringNo warnings★ 48.8K↓ —
- iam-helper-for-privileged-access-managementgoogle/skillsManages the end-to-end lifecycle of on-demand, temporary access using Privileged Access Manager (PAM). Use when a user asks to create, read, update, or delete PAM entitlements, request temporary access, or approve/deny pending PAM grants. Do NOT use for permanent IAM policy bindings, troubleshooting IAM permission errors, or general Google Cloud resource provisioning.OfficialOtherNo warnings★ 21.7K↓ —
- oil-motionoil-oil/oil-motion把 AI 生成或已有的视频、序列帧变成随滚动、指针、拖动、触摸、设备方向、音频、数据或状态变化的网页动画：设计动作方向，生成关键帧与视频，整理成图集或视频，编译时间轴并接入运行时。用户需要角色转向、产品拆解、镜头穿越、一镜到底转场，或要清理、抠色、补帧、压缩绿幕视频与雪碧图时使用。不用于纯 CSS、JS、SVG、Lottie 或实时 3D 就能完成的界面过渡与微交互（交给普通前端实现），也不用于独立成片剪辑、单张配图或静态页面。DesignNo warnings★ 2.7K↓ —
- dsh-translate-docsNewqufei1993/skills-hub仅在用户明确调用时翻译或同步指定文档，保留技术含义、结构、命令和两边的独立修改。OtherNo warnings★ 1.8K↓ —
- dsh-find-simplificationsNewqufei1993/skills-hub用户明确要求审查或实施简化时使用，识别不必要的抽象、重复状态和兼容机制，并验证受支持行为得到保留。OtherNo warnings★ 1.8K↓ —
- content-strategycbrock84/headcountDecides what content to make and why — topic territory, format mix, cadence, and how content connects to a business outcome rather than to traffic. Use this to plan a content program, choose topics, build an editorial calendar, decide which formats and platforms to commit to, or diagnose why content is producing audience but not results.WritingNo warnings★ 2.5K↓ —
- restore-credentialsandroid/skillsProvides knowledge and workflows to implement Android's Restore Credentials feature using the androidx.credentials library. Use this skill to create, sign in with, and delete restore keys, enabling silent user sign-in on new devices after a restore. It covers version compatibility, dependencies, server-side prerequisites, and the complete client-side implementation for creating, retrieving, and clearing restore keys.OfficialOtherNo warnings★ 10.1K↓ —
- youtube-producercbrock84/headcountPlans, packages, and scripts long-form video for retention and channel growth — idea selection, titles and thumbnails, script structure, and diagnosing why a video or channel underperforms. Use this for video ideas, packaging, scripting, a retention teardown, or channel strategy — including when someone describes a topic and wants it turned into something publishable. For short-form and cross-platform video, use `video-content`.MediaNo warnings★ 2.5K↓ —
research-ideation
pedrohcgs/claude-code-my-workflow
ScienceUpdated Sep 27, 2026
From the author
Generate structured research questions, testable hypotheses, and candidate empirical strategies from a topic, phenomenon, or dataset description. Use when user says "give me research ideas on X", "brainstorm questions about Y", "what could I study with this data?", "I'm looking for a paper idea on...", "generate hypotheses for...". One-shot generation, not multi-turn. For idea-refinement use `/interview-me`.
Install
npx skills add pedrohcgs/claude-code-my-workflow --skill research-ideation -a claude-code
Installs to .claude/skills/research-ideation/ · 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: MIT
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- SKILL.md