The open format is called Agent Skills and works in Claude Code, Codex, Cursor and other agents — most people know it as Claude Skills.
Every Agent Skill we could find on GitHub, deduplicated by content. 79 341 files from 1 736 authors, of which 61 700 are unique — the rest is the same skill repackaged into someone else's repository. For each one: what it weighs in tokens, whether it ships runnable scripts, and which MCP servers it needs.
Улучшает и структурирует короткие неструктурированные промпты и постановки задач, превращая их в подробные императивные ТЗ с пронумерованными шагами анализа, явными граничными случаями и описанием формата ожидаемого вывода. Сохраняет все термины и условия исходника, не добавляет новых требований. Используй когда пользователь просит: улучшить промпт, проработать постановку, расширить описание задачи, структурировать ТЗ, оформить заметку в подробную инструкцию, сделать промпт точнее или подробнее, подготовить ТЗ из черновика, причесать задание, преобразовать короткую заметку в понятное ТЗ. Принимает текст в аргументе команды или путь к .md файлу.
Локальная транскрибация аудиофайлов без отправки в облако. Используй когда пользователь просит транскрибировать запись, расшифровать аудио, сделать конспект встречи, преобразовать речь в текст. Только для аудио (m4a/mp3/wav/ogg/flac/aac/wma/opus). Движок: faster-whisper CUDA + опц. диаризация sherpa-onnx GPU (CUDA, RTF ~0.24). Поддерживает разделение по спикерам.
Транскрибирование видео и аудио файлов. Используй когда пользователь просит транскрибировать, расшифровать запись, сделать конспект встречи, извлечь речь из видео или аудио, преобразовать речь в текст. Для аудио (m4a/mp3/wav/ogg/flac/aac/wma) по умолчанию локальный faster-whisper + диаризация с автодетектом числа спикеров (pyannote community-1 GPU; с явным --num-speakers N - sherpa-onnx, быстрее). Для видео (mp4/mkv/webm/avi/mov) - Gemini API (разбор экрана + скриншоты) либо полностью локально (--engine local: whisper + локальная VLM). Разделение по спикерам с распознаванием имен по голосу между встречами (голосовая база) и по репликам.
Справочник API конфигурации 1С:ЗУП 3.1 (Зарплата и управление персоналом) по кадровому учету. Используй при разработке/доработке на ЗУП 3.1, когда нужны методы КадровыйУчет, КадровыйУчетРасширенный, ЗарплатаКадры, ФизическиеЛицаЗарплатаКадры - получение кадровых данных сотрудников и физлиц, стажи, даты приема/увольнения, договоры ГПХ, совместители, штатное расписание, остатки отпусков, паспортные данные, склонение ФИО, представления СКД ЗУП. Также расчетная часть: средний заработок и его перерасчет, начисления (план видов расчета, регистр расчета), пособия и обмен с СФР (СЭДО), страховые взносы, регламентированная и статистическая отчетность, корректировка движений через ПереносДанных. НЕ использовать для БП, ERP, УТ, УНФ - только ЗУП
Распаковка и сборка бинарных файлов 1С (CF/CFE/EPF) через Python-утилиту v8unpack. Используй когда нужно распаковать конфигурацию, расширение или обработку в исходники, или собрать обратно.
Enforces automated quality checks before every deploy. Prevents production failures through a 5-stage Quality Gate System (Pre-Commit, PR-Check, Preview, E2E, Production). Activate on code changes, deployments, PR reviews, build failures.
> Erstellt detaillierte, autonome Claude Code (CC) Prompts mit Self-Fix-Protokoll. Nutze diesen Skill IMMER wenn der User einen CC-Prompt, Claude Code Prompt oder "Prompt für CC", "lass CC das machen", "mach einen Prompt draus", "CC soll das autonom abarbeiten", "delegate an Claude Code", "Sonnet-Prompt", "autonomer Prompt". Der Skill erzeugt token-effiziente Prompts die mit günstigeren Modellen (Sonnet) funktionieren, weil sie präzise genug sind um Rückfrage-Schleifen zu vermeiden.
Automatische Release Notes aus Git Commits. Kategorisiert Commits (Features, Fixes, Breaking Changes), wandelt technische Sprache in kundenfreundliche Beschreibungen um. Aktivieren mit /changelog, /changelog v1.2.0..v1.3.0, oder /changelog --week.
| Klaert einen Auftrag NUR wenn er echt mehrdeutig ist und eigenes Recherchieren (Grep/Glob/Read der Projektdateien) die Unklarheit nicht aufloest. fehlenden Dateinamen. Das sind normale Alltagsauftraege — die werden durch Eigenrecherche + Senior-Entscheidung erledigt, nicht durch Rueckfragen. widerspruechlich, mehrere grundlegend verschiedene Interpretationen sind moeglich, oder es fehlt Information die nirgends im Repo steht. bis 4 Fragen) — danach autonom durcharbeiten, kein Stopp pro Schritt.
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| Transformiert Anforderungen in Best-Practice Prompts nach Claude 4.x Standards (Dezember 2025). Wird AUSSCHLIESSLICH per /prompt-architect aufgerufen — KEINE automatische Aktivierung. Produziert strukturierten, ausfuehrbaren Prompt mit allen Best Practices.
Recognize and capture reusable patterns, workflows, and domain knowledge from work sessions into new skills. Use when completing tasks that involve novel approaches repeated 2+ times, synthesizing complex domain knowledge across conversations, discovering effective reasoning patterns, or developing workflow optimizations. Optimizes for high context window ROI by identifying patterns that will save 500+ tokens per reuse across 10+ future uses.
Auto-generates standardized README documentation from SKILL.md files, validates consistency (frontmatter, descriptions, terminology), and creates usage examples. Use when documenting individual skills, generating docs for multiple skills in a directory, or validating skill quality standards.
Manufacturing-fokussierter Continuous Improvement Skill fuer fabrikIQ. Implementiert Lean Manufacturing Prinzipien (5 Whys, Ishikawa, PDCA) fuer systematische Problemloesung und Qualitaetsverbesserung. Aktivieren bei Bug-Analyse, Refactoring, Code Review, Production Incidents.
Image generation with Google Gemini API. Models: gemini-2.5-flash-image (fast) or gemini-3-pro-image-preview (quality). For social media graphics, marketing, infographics.
> Vermeidet KI-typische Schreibmuster und erzeugt hochwertige Sach- und Fachtexte, die gelesen, gespeichert und erinnert werden. Trigger bei Anfragen wie "schreibe einen Artikel", "erstelle einen LinkedIn-Post", "verfasse einen Blog-Beitrag", "schreibe einen Text ueber", "ueberarbeite diesen Artikel", "schreibe einen Fachtext", "erstelle einen Sachtext", "schreibe etwas ueber". Auch triggern bei "mach den Text menschlicher", "klingt zu sehr nach KI", "natuerlicher schreiben". Basiert auf Wikipedia Signs of AI Writing (August 2025) und Journalismus-Forschung zu Leser-Retention.
Design multi-agent architectures for complex tasks. Use when single-agent context limits are exceeded, when tasks decompose naturally into subtasks, or when specializing agents improves quality.
LinkedIn Content-Erstellung, Engagement und Monitoring für B2B/Manufacturing. Regionale Anpassung (US/EU/Asien), Artikel mit Teasern, Bildgenerierung via Gemini, Kommentar-Monitoring.
Fetches additional perspectives from OpenAI Codex and Google Gemini for architecture, review, and debugging. Transparently displays all LLM calls.
Comprehensive E2E + Security Tests for Vercel Preview Deployments. Combines Playwright automation with Claude-in-Chrome MCP for interactive debugging. Activate on PR creation, before merge, or manual /preview-test.
Formal Quality Assurance Checklist before every Merge/Deploy. 6-phase validation with Build Verification, Test Suite, No-Touch Zones, Region Check, Security Review, and QA Report generation. Activate on "merge", "deploy", "release", "production", or /qa command.
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
Reddit-Recherche und Engagement für B2B/Manufacturing. Scannt Subreddits, formuliert Antworten vor, extrahiert Insights.
Prevents destructive Git operations by requiring backup and confirmation. Blocks git reset --hard, git push --force on main, git clean -fd. Requires backup before git checkout, git reset, git rebase. Activate on any destructive git command.
Comprehensive security risk analysis for Claude skills. Use when asked to analyze security risks, review security stance, audit skills for vulnerabilities, check security before deployment, or evaluate safety of skill files. Triggers include "analyze security," "security risks," "security audit," "security review," "is this skill safe," or "check for vulnerabilities.
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Enforces TypeScript best practices when writing code. Automatically enables strict typing for TypeScript projects, prevents `any` usage, and recommends generic constraints. Activate on TS/TSX files, new features, code reviews.
Erstellt plattformoptimierte Social Media Inhalte für LinkedIn, X/Twitter, Discord, Reddit. B2B/MES-Industrie fokussiert.
Proactive token budget assessment and task chunking strategy. Use this skill when queries involve multiple large file uploads, requests for comprehensive multi-document analysis, complex multi-step workflows with heavy research (10+ tool calls), phrases like "complete analysis", "full audit", "thorough review", "deep dive", or tasks combining extensive research with large output artifacts. This skill helps assess token consumption risk early and recommend chunking strategies before beginning work.
Erzwingt striktes Test-Driven Development mit Red-Green-Refactor Zyklus. Blockiert Code-Generierung ohne vorherige Tests. Dokumentiert 13 ungueltige Rationalisierungen. Aktivieren bei neuen Features, Bug Fixes, Refactoring.
Protects design and theme files from unintended changes. Locks tailwind.config, global CSS, and theme variables. Requires explicit confirmation before modifying UI components. Activate on changes to CSS, theme config, or layout components.
Develop, test, build, and deploy Godot 4.x games. Includes GdUnit4 for GDScript unit tests and PlayGodot for game automation and E2E testing. Supports web/desktop exports, CI/CD pipelines, and deployment to Vercel/GitHub Pages/itch.io.
> 🔒 Security & Compliance skill suite derived from BehiSecc/awesome-claude-skills. Security audits, vulnerability management, GDPR/SOC2/ISO27001 compliance and incident response. Provides 10 specialised commands for security, compliance, gdpr workflows.
Master workflow skill for City of Boston policy analysis and civic innovation. ALWAYS use this skill for any request involving Boston city data, city services, neighborhood equity, public policy, government performance, 311 analysis, housing, safety, transportation, or any civic issue — even if the user hasn't explicitly asked for a 'full analysis'. This skill orchestrates five sub-skills: city-problem-framing (Bloomberg-inspired), city-policy-analysis (J-PAL-inspired), city-communication (GovLab/InnovateUS-inspired), city-benchmarking (cross-city comparison using San Francisco, Seattle, and DC data), and city-performance-management (Results for America / PerformanceStat). Use this skill for: 'full analysis', 'policy brief', 'data-driven recommendation', 'city improvement project', 'investigate [issue]', 'compare Boston to other cities', 'what does the data show', 'help me write a memo about', or any request that combines problem definition, data analysis, and communication for government or civic purposes.
AI code review for PR or local changes. 280+ checks across security, architecture, performance, testing, and code quality. Posts findings as GitHub PR comments with confidence scores.
Generic smart-contract interaction for Capminal — read (call), batch-read (multicall) and write (send tx) ANY contract on Base or Robinhood chain by passing a flexible ABI, contract address, function name and parameters, using your CAP API key.
Launch a B20 token on Base by calling the B20 Factory precompile directly through Capminal — encodes createB20 params/initCalls, then creates, mints, and verifies the token using your CAP API key.
CAP Skills can help agents to interact with Cap Wallet, deploy tokens via Clanker, Liquid or Virtuals, claim rewards, manage limit/TWAP/DCA orders, bridge tokens between Base and Robinhood, and discover/call x402 APIs
Drive a Metabase instance from the terminal via the `mb` CLI. Authenticate with named profiles; inspect databases (list, get, full metadata rollup, schemas, tables in a schema) and trigger manual schema sync / field-values rescan; inspect tables, fields; list/get/create/update/archive cards (questions, models, metrics) and run them as JSON/CSV/XLSX; list/get/create/update dashboards and patch dashcards; list/get/create collections and traverse the hierarchy by id, entity_id, or "root"/"trash" (with items and recursive tree); list/get/create/update/archive native query snippets, segments, and measures; author/update/run transforms and schedule transform-jobs; read/update settings; search content (cards, dashboards, collections, transforms, metrics); manage Enterprise workspaces; git-sync to/from a git remote (status, dirty, import, export, branches, stash, add/remove a collection from sync). Use whenever the user wants to interact with a Metabase from the terminal — "log into metabase", "what profiles do I have", "list cards", "run card 42 as CSV", "create a transform", "list dashboards", "move a dashcard", "list collections", "what's in collection 4", "show the collection tree", "list snippets", "create a segment", "archive a measure", "search metabase for X", "spin up a workspace", "import the latest changes", "add a directory to git sync", "set a setting", "what schemas are in this database", "trigger a sync", "rescan field values", or anything hitting `mb <verb>`.
> learn Metabase, start a Metabase training session, do a Metabase review, practice Metabase concepts, check what they should study today, get quizzed on Metabase, run through active recall on BI tools, or follow a structured learning program for data analytics software. Trigger this skill even if the user just says "let's do my Metabase session", "quiz me on Metabase", or "what should I study today?" in a Metabase learning context.
Implements JWT SSO authentication for Metabase embedding in a project. Supports all embedding types that use SSO — Modular embedding (embed.js web components), Modular embedding SDK (@metabase/embedding-sdk-react), and Full app embedding (iframe-based). Creates the JWT signing endpoint, configures the frontend auth layer, and sets up group mappings. Use when the user wants to add SSO/JWT auth to their Metabase embedding, implement user identity for embedded analytics, set up JWT authentication for Metabase, or connect their app's authentication to Metabase embedding.
Upgrades a project's Metabase Modular embedding SDK (@metabase/embedding-sdk-react) or Modular embedding (embed.js) version. Use when the user wants to upgrade their Metabase modular embedding integration to a newer version.
Migrates a React project from Metabase Modular embedding (embed.js web components) to the Modular embedding SDK (@metabase/embedding-sdk-react). Use when the user wants to switch from embed.js web components to React SDK components (MetabaseProvider). This is not a version upgrade — it changes the embedding technology.
Migrates a project from Metabase Full App / Interactive (iframe-based) embedding to Modular (web-component-based) embedding. Use when the user wants to replace Metabase iframes with Modular embedding web components.
Understands the Metabase Database Metadata Format — a YAML-based on-disk representation of databases, tables, and fields synced from a Metabase instance. Use when the user needs to read, edit, or understand metadata files produced by `@metabase/database-metadata`, or when reasoning about a project's schema (columns, types, FK relationships) through the `.metadata/databases` folder.
First-time setup for the Metabase React SDK — instance detection, API key, dashboard discovery, JWT auth, SDK installation, and initial embedding code.
Migrates a project from Metabase static embedding to guest embeds (web components via embed.js). Use when the user wants to migrate/convert/switch/upgrade from static embedding to guest embeds, from signed embed iframes to web components, or replace /embed/ iframes with metabase-dashboard/metabase-question components.
Runs the Metabase semantic checker against a tree of Representation Format YAML files to verify that all references resolve — cross-entity references (collection_id, dashboard_id, parent_id, parameter source cards, snippet references, transform tags, etc.) and references to columns inside MBQL and native queries. Slow (≥1 min per run). Only use when the user explicitly asks to verify entity references or column references in MBQL/SQL queries; in most cases this runs as a CI step, not locally. Requires database metadata on disk (by default `.metadata/table_metadata.json`).
Understands the Metabase Representation Format — a YAML-based serialization format for Metabase content (collections, cards, dashboards, documents, segments, measures, snippets, transforms). Use when the user needs to create, edit, understand, or validate Metabase representation YAML files, or when working with Metabase serialization/deserialization (serdes). Covers entity schemas, MBQL and native queries, visualization settings, parameters, and folder structure.
Create animated GIFs for messaging platforms. Generates animated content optimized for sharing in chat applications.
Test web applications comprehensively for quality. Performs functional, integration, and user experience testing of web applications.
Automate browser interactions and web testing. Provides scriptable browser control for web scraping, testing, and automation.
Provide expert guidance on backend and database services. Advises on database design, APIs, authentication, and deployment.
Analyze and extract design patterns from visual examples. Deconstructs design systems, color palettes, typography, and layout principles from reference materials.
Build autonomous game-playing agents using AI and reinforcement learning. Covers game environments, agent decision-making, strategy development, and performance optimization. Use when creating game-playing bots, testing game AI, strategic decision-making systems, or game theory applications.
Finalize development branches for integration. Prepares branches for merging with cleanup, rebasing, and verification steps.
Orchestrate multi-service AWS workflows with autonomous agents. Coordinates across compute, storage, identity, and observability services for intelligent cloud automation.
Activate and leverage advanced capabilities effectively. Demonstrates how to use specialized tools and powerful features.
Create new capabilities and skills systematically. Architects, documents, and implements reusable skills with proper specifications.
Assess and analyze developer skill growth and progression. Identifies capability gaps, learning paths, and mastery levels across technology domains.
Answers built from the skills we actually parsed.