Claude Skills
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. 80 149 files from 1 774 authors, of which 62 489 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.
Review, modify, test, document, or release the DisCatSharp repository. Use for DisCatSharp source changes, API additions and migrations, Discord payload models, serialization, command synchronization, Gateway dispatch, REST behavior, analyzer work, multi-target testing, DocFX generation, release notes, and repository pull requests.
Build, explain, migrate, or troubleshoot Discord applications that use DisCatSharp. Use for DisCatSharp setup, configuration, clients, events, intents, slash commands, CommandsNext, interactivity, hosting, Lavalink, voice, entities, REST operations, exact API lookup, overload selection, and version-aware C# examples.
> (colcon/ament), edits launch files (.launch.py), configures QoS or DDS, writes URDF/xacro, implements ros2_control hardware interfaces or controllers, sets up Nav2/MoveIt 2 pipelines, processes sensor data (camera/LiDAR/PCL), works with Gazebo/Isaac Sim, configures SROS2 security, develops micro-ROS firmware, manages multi-robot fleets (Open-RMF), debugs with ros2 doctor/rosbag2, deploys via Docker/cross-compilation, or migrates from ROS 1. DO NOT TRIGGER for general C++/Python questions unrelated to ROS 2, non-robotics middleware, or web/mobile development tasks.
Deploy trained machine learning models as production-ready services using REST APIs, containers, serverless functions, and orchestration platforms.
Set up and manage data labeling workflows using manual annotation tools, semi-automated pipelines, active learning, and programmatic weak supervision.
A skill to create, manage, and automate machine learning pipelines.
Train machine learning models end-to-end, covering data loading, preprocessing, architecture selection, training loops, validation, and checkpointing.
Integrate with external APIs using REST clients, webhook consumers, SDK wrappers, and polling patterns with proper authentication, error handling, and retry logic.
Design GraphQL APIs with well-structured schemas, efficient resolvers, pagination, and performance patterns like DataLoader and federation.
Optimize machine learning model hyperparameters using grid search, random search, Bayesian optimization, and Hyperband to maximize model performance within a compute budget.
Design RESTful APIs with proper resource modeling, HTTP method semantics, status codes, pagination, versioning, and documentation.
Implement OAuth 2.0 authentication flows including authorization code with PKCE, client credentials, and device code for secure API integration.
Perform thorough code reviews on files or pull requests, checking for bugs, security vulnerabilities, performance issues, and style violations.
Automatically generate clear, comprehensive documentation for codebases — including API references, inline docstrings, README files, and usage guides.
Systematically diagnose and fix software bugs by analyzing error messages, stack traces, logs, and runtime behavior across multiple languages.
Set up webhook receivers with signature verification, idempotent event processing, retry handling, and dead letter queues for reliable event-driven integrations.
Generate, execute, and analyze tests for codebases, covering unit, integration, and end-to-end testing with coverage reporting.
Improve code quality and maintainability through systematic identification of code smells and application of proven refactoring patterns.
Manage Git repositories and collaborative workflows — branching strategies, commit hygiene, conflict resolution, pull requests, hooks, and .gitignore management.
Compresses context to fit within model token limits while preserving the most critical information for the task at hand.
Create polished, audience-tailored presentations from outlines or documents, with support for Marp, reveal.js, Google Slides, and PPTX output formats.
Draft professional, audience-aware emails for any purpose — cold outreach, follow-ups, customer support, internal updates, and meeting requests — with calibrated tone and clear calls to action.
Transcribe meeting audio with speaker diarization, generate structured summaries with action items, decisions, and follow-ups, and support multiple audio formats and languages.
Design structured, engaging chatbot conversations with robust intent handling, slot filling, disambiguation, error recovery, and graceful fallback strategies.
Generate professional reports — sprint retrospectives, financial summaries, analytics dashboards, and incident postmortems — from structured data with templates, charts, and multi-format output.
Injects contextual information into prompts using structured templates to improve AI model accuracy, grounding, and task performance.
Optimizes the context provided to an AI model by deduplicating, filtering, reordering, and scoring information to maximize relevance and token efficiency.
Ranks retrieved context chunks by relevance, diversity, and utility using scoring algorithms and multi-stage pipelines to surface the best information for a given query.
Identify at-risk customer accounts by analyzing usage patterns, engagement signals, and support history to generate churn risk scores and intervention recommendations.
Analyze NPS, CSAT, and qualitative customer feedback to extract themes, identify trends, and generate actionable insight reports.
Retrieves and synthesizes relevant information from a knowledge base using RAG techniques to provide grounded context for a given query.
Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses.
Write clear, searchable help center articles and FAQ entries based on support data, product documentation, and common customer questions.
Design structured customer onboarding workflows with phased checklists, email templates, success milestones, and ownership assignments.
Analyze datasets to extract insights through statistical methods, trend identification, hypothesis testing, and correlation analysis.
Clean and preprocess datasets by handling missing values, removing duplicates, correcting types, resolving outliers, and enforcing validation schemas.
Create clear, effective charts and dashboards from structured data using matplotlib, seaborn, and plotly.
Create, schedule, and verify database backups with support for full, incremental, and point-in-time recovery strategies.
Generate optimized SQL queries from natural language requests, supporting SELECT, JOIN, GROUP BY, window functions, CTEs, and subqueries.
Perform systematic exploratory data analysis to understand dataset structure, distributions, relationships, and anomalies before modeling.
Create, execute, and roll back versioned database schema migrations using tools like Alembic, Prisma Migrate, Flyway, and Knex.
Populate databases with realistic, reproducible test data for development, testing, and staging environments.
Design normalized database schemas with tables, relationships, indexes, and constraints for any application domain.
Analyze, diagnose, and optimize slow SQL queries using EXPLAIN plans, indexing strategies, query rewriting, and ORM tuning.
Audit web interfaces against WCAG 2.1 AA/AAA standards, identify violations, and produce actionable remediation reports with code fixes.
Design and build production-ready frontend interfaces with design systems, responsive layouts, accessible components, and dark mode support.
Design professional, scalable logos with complete brand identity deliverables including color palettes, typography, format variations, and usage guidelines.
Monitor cloud infrastructure and applications using metrics, logs, and traces to provide real-time observability into performance, health, and reliability.
Create text-based wireframes at low, mid, and high fidelity with component inventories, interaction annotations, and responsive breakpoint specifications.
Set up a continuous integration and continuous delivery (CI/CD) pipeline for a software project, automating builds, tests, and deployments across environments.
Visualize and map user flows with Mermaid diagrams, decision points, error states, and conversion metrics to optimize user journeys.
Define, deploy, and manage cloud infrastructure as code using tools like Terraform, Pulumi, CloudFormation, and CDK, ensuring consistency, repeatability, and version control.
Set up and orchestrate multi-container Docker applications using docker-compose, including service configuration, networking, volumes, and environment management.
Create and manage budgets with variance analysis and departmental allocation
Deploy, manage, and scale applications on Kubernetes clusters using manifests, Helm charts, and autoscaling configurations.
Build financial projections, P&L statements, DCF models, and valuation analyses from assumptions and historical data
Classify expenses by category, department, and tax deductibility from transaction data
Generate balance sheets, cash flow statements, P&L reports, and executive financial summaries
Extract, validate, and categorize invoice data against purchase orders and GL codes
Analyze contracts for risks, obligations, key clauses, and generate structured risk reports with severity ratings.
Claude Skills — questions
Answers built from the skills we actually parsed.