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.
49,103 skills from 2,358 repositories · updated 8 minutes ago
48,054 skills
- build-and-verifydaveebbelaar/bamaBuild a SwiftUI macOS app from the command line, install it, and check light and dark window snapshots of every page before calling a change done. Use after any UI code change, when a build fails, or when the user asks to run, screenshot, or check the app.DesignNo warnings★ 1.4K↓ —
- swift-swiftuidaveebbelaar/bamaSwift 6 and SwiftUI code rules for macOS apps, including concurrency, state, SwiftData, AppKit bridges, and fixes for common compiler errors. Use when writing, reviewing, or debugging Swift code in a Mac app, or on concurrency, Sendable, or "not in scope" errors.WritingNo warnings★ 1.4K↓ —
- performancedaveebbelaar/bamaMake a macOS app fast by measuring hangs, stutter, CPU, memory, and energy, then moving work off the main thread and onto the GPU. Use when the app freezes, a shortcut feels slow, dragging stutters, the fan spins, memory grows, or the user asks to optimize or profile.ProductivityNo warnings★ 1.4K↓ —
- os-integrationsdaveebbelaar/bamaDeep macOS integrations for a native app, such as global hotkeys, menu bar items, floating panels, window control with Accessibility, screen capture and recording, clipboard, Shortcuts and Spotlight, URL schemes, login items, a CLI, and the permissions each one needs. Use when an app must reach outside its own window or control other apps.EngineeringNo warnings★ 1.4K↓ —
- ux-designdaveebbelaar/bamaUX pass for one feature of a macOS app, covering names, flow, where it opens (inline, popover, sheet, window, alert), states, words, hover help, accessibility, and AI features. Use before coding a story that adds a screen, an action, or text, when user-stories or improve-loop call it, or when the user asks for a UX review, clearer wording, better names, or whether something should be a modal.DesignNo warnings★ 1.4K↓ —
- hep-buildagentlas-ai/Agentlas-OSBuild, repair, or package Agentlas agents and teams with Hephaestus.OtherNo warnings★ 1.6K↓ —
- one-pagermohitagw15856/pm-claude-skillsDistil anything — a startup, product, project, or idea — into a single persuasive page. Use when asked to make a one-pager, a one-page summary, a leave-behind, a startup/product one-sheet, or a tl;dr brief. Produces a structured single page — headline + tagline, the problem, the solution, why-now/proof, and a clear ask/CTA — designed to be skimmed and remembered, ready to export as a typeset PDF.DocumentsNo warnings★ 1.5K↓ —
- hn-digestmohitagw15856/pm-claude-skillsPull the current Hacker News front page, top comments, or a topic search with zero API keys — the official Firebase API and Algolia search via curl, digested instead of dumped. Use when asked what's on Hacker News, summarize HN today, what's the discussion on this story, or has HN covered some topic. Produces a ranked digest with scores and comment counts, the discussion's actual argument threads when asked, and the rerunnable commands.EngineeringNo warnings★ 1.5K↓ —
- researchtaishi-i/awesome-japanese-nlp-resourcesAnalyze current trends and challenges in Japanese NLP for a topic. Surveys the existing awesome-japanese-nlp-resources dataset and augments it with up-to-the-minute web research to produce a combined trend + issue report. Use only when the user explicitly wants a trend/landscape report, a challenges/limitations report, or a general research overview of a Japanese NLP topic (this combines the bundled dataset with live web research). Trigger phrases include '日本語LLMの最新トレンド', '〜の動向をまとめて', '最近の日本語NLPの流れ', '日本語LLMの課題', '〜の問題点・限界', '未解決の論点', 'trend report on Japanese embeddings', 'latest Japanese speech models', 'challenges in Japanese NER', 'limitations of Japanese embeddings'. For a simple lookup use the search skill; this one runs web research.ScienceNo warnings★ 1K↓ —
- add-containerNewajnart/self-hostDCM Container work. Use to add or edit a Container in dcm/src/tools/, including an issue labelled `container` and then `accepted`, and the pull request dcm-add-container.yml opens from it. A Container is a compose snippet DCM offers for a product the Catalog does not install. Catalog Apps go to edit-catalog.WritingNo warnings★ 1.5K↓ —
- comparetaishi-i/awesome-japanese-nlp-resourcesCompare several Japanese NLP libraries, models, or datasets for a keyword (a specific tool name, or a function/task like '形態素解析') across a handful of criteria chosen for that comparison, rendered as a ○/△/✕ table. Use when the user wants a side-by-side comparison of multiple Japanese NLP tools/libraries/datasets, not just the single best one. Trigger phrases include 'X と Y と Z を比較して', '形態素解析ライブラリを比較', 'MeCab と Sudachi どっちがいい', 'どのツールを使うべき', 'compare japanese tokenizers', 'mecab vs sudachi vs janome', 'which embedding model should I use', '日本語NERライブラリの比較表', 'pros and cons of japanese OCR tools'. For a single ranked list use search; for alternatives to one specific tool (or contribution candidates) without a multi-axis table, use discover.MediaNo warnings★ 1K↓ —
- searchtaishi-i/awesome-japanese-nlp-resourcesSearch all Japanese NLP resources (libraries, models, datasets, tutorials, dictionaries, Hugging Face). Accepts keywords or natural language questions in any language. Use whenever the user asks which Japanese NLP resource to use, or wants to find one: tokenizers / morphological analyzers, BERT or LLM models, embeddings, NER, text classification, datasets / corpora, dictionaries, tutorials, or Hugging Face models. Trigger phrases include '日本語の形態素解析ライブラリ', 'おすすめの日本語tokenizer', '日本語BERTモデル', '日本語の感情分析データセット', '日本語LLM 一覧', 'which Japanese embedding model', 'Japanese NER library'.OtherNo warnings★ 1K↓ —
- discovertaishi-i/awesome-japanese-nlp-resourcesGiven a Japanese NLP GitHub repo/model/dataset (URL / owner/repo / tool name) OR a topic, find what's already in awesome-japanese-nlp-resources and discover related resources NOT yet listed (contribution candidates). Mines the bundled dataset, then expands via web research across GitHub and Hugging Face. Use when the user names a SPECIFIC repository, model, or tool and wants alternatives/equivalents, OR wants to discover Japanese NLP resources for a topic that are NOT yet in the list, OR wants to prepare a contribution. Trigger phrases include 'mecabに似たツール', 'fugashiの代替', 'alternatives to fugashi', 'repos like manga-ocr', 'what else is like sudachi', 'リストに無い新しい日本語NLP', 'awesome-japanese-nlpに追加できそうな', '最近公開された日本語NLPツール', 'find unlisted Japanese NLP repos', 'new Japanese models on Hugging Face', 'contribute a new resource'. For a simple lookup of what already exists, use the search skill instead.ScienceNo warnings★ 1K↓ —
- oma-tf-infraNewfirst-fluke/oh-my-agentCreate or review Terraform infrastructure and plans. Use for cloud resources, IAM, networking, state management, and infrastructure changes.DevOpsNo warnings★ 1.4K↓ —
- oma-securityNewfirst-fluke/oh-my-agentScan application source, agent skills, and MCP components; run penetration tests against scoped web test deployments, validate findings, and configure scan gates. Use oma-qa for broad quality reviews and domain skills for remediation.SecurityNo warnings★ 1.4K↓ —
- oma-docsNewfirst-fluke/oh-my-agentCheck documentation references, sync docs to code changes, and detect translation drift. Use for documentation maintenance in a repository.EngineeringNo warnings★ 1.4K↓ —
- recallNewhashgraph-online/awesome-codex-pluginsRebuild where recent work stands from the agent's past chat transcripts and the team's shared record (PRs, tickets, chat, errors), and return a short status brief ending in the next step. Use for "what was I doing on X", "catch me up on my work", "where did I leave off".OtherNo warnings★ 1.5K↓ —
- oma-debugNewfirst-fluke/oh-my-agentDiagnose a reproducible failure, fix its cause, and verify the regression. Use for crashes, incorrect behavior, and failing tests.EngineeringNo warnings★ 1.4K↓ —
- ux-comparejezweb/claude-skillsCompare UX patterns across multiple reference apps using pattern libraries produced by ux-extract. Reads 2+ pattern-library.md files, walks them category by category, identifies where apps converge (strong signal), where they diverge (genuine design choice), what's unique to one app, and what's absent across the set. Produces an opinionated comparison document with recommendations for a new build. No browser needed — pure markdown analysis. Trigger with 'compare UX patterns', 'how do top apps handle X', 'ux comparison', 'pattern comparison across reference apps'.DesignNo warnings★ 1.1K↓ —
- roadmapjezweb/claude-skillsPlan and execute entire application builds. Generates phased delivery roadmaps, then executes them autonomously — phase by phase, committing at milestones, deploying, testing, and continuing until done or stuck. Modes: plan (generate roadmap), start (begin executing), resume (continue from where you left off), status (show progress). Triggers: 'roadmap', 'start building', 'resume the build', 'keep going', 'build the whole thing', 'execute the roadmap', 'what phase are we on'.PlanningNo warnings★ 1.1K↓ —
- writing-relayflowsAgentWorkforce/relayInfrastructure for coding agentsWritingNo warnings★ 1.1K↓ —
- test-native-extensionmicrosoft/power-platform-skillsValidate a third-party control repo across four automated layers plus one printed manual recipe. Layer 1 asserts native-source structure (Android getName() and iOS +moduleName to manifest nativeModule; @ReactMethod / RCT_EXPORT_METHOD to methods; no @ReactModule) plus load/init readiness (ReactPackage public no-arg constructor, iOS [cls new] no-arg init, requiresMainQueueSetup NO, non-throwing eager construction), so launch-time crashes surface before any build. Layer 2 validates the committed `./manifest.json` against the ppmplugin-format rules. Layer 3 asserts request/response/error-code agreement across native and PCF. Layer 4 compiles the PCF (auto-skipped if absent). Layer 5 prints a device end-to-end recipe. Native compile belongs to /build-android-binary and /build-ios-binary — this is the cheap structural pre-flight before those slow builds. Reports pass/fail per layer with a fix hint and updates .extension-state.md.TestingNo warnings★ 1.1K↓ —
- design-native-extension-featuremicrosoft/power-platform-skillsCapture a 2-3 line pitch from the user, draft a product overview (PRD.md) and a technical design (ARCHITECTURE.md) for a third-party `.ppmplugin` native control, then walk through every operation's iOS + Android implementation strategy with opinionated recommendations (library choice, hosting, key APIs, edge cases) and capture the agreed spec in ARCHITECTURE.md §3.<n>. The depth of ARCHITECTURE.md is what lets the scaffold skill generate complete working code instead of TODO placeholders. Iterates with the user until they approve both docs. Optionally seeds from a design doc / FRD URL. PRD.md + ARCHITECTURE.md are the source of truth for every downstream skill (generate, build, assemble). Run this BEFORE any code is generated.DesignNo warnings★ 1.1K↓ —
- polar-local-environmentfcakyon/claude-codex-settingsThis skill should be used when setting up or managing Polar local development environment with Docker.DevOpsNo warnings★ 1.2K↓ —
add-azuredevops
microsoft/power-platform-skills
DevOpsUpdated 17 hours ago
From the author
Adds Azure DevOps connector to a Power Apps code app. Use when querying work items, creating bugs, managing pipelines, or making ADO API calls.
Install
npx skills add microsoft/power-platform-skills --skill add-azuredevops -a claude-code
Installs to .claude/skills/add-azuredevops/ · 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
Safety checks on SKILL.md
No warnings.
Why 88
Security100
Provenance76
Maintenance100
Licence100
Adoption49
Files (1)
- SKILL.md