Agent Skills
Instruction packs that give your AI agent know-how. Three different kinds — pick the right one below.
✦ Standalone skills2,933
Self-contained. Install one into any project and it works on its own — no other software needed.
🧰 Tool add-ons725
Come bundled with a specific tool and only work together with it — they teach your agent how to operate that tool.
dotnet-best-practices
✓★ 36,200by github
Validate .NET/C# code against comprehensive best practices for your solution and project. Covers 10+ practice areas including XML documentation, design patterns, dependency injection, async/await, testing standards, and error handling Enforces specific patterns: primary constructors for DI, Command Handler pattern with generics, interface segregation, and Factory pattern for object creation Includes resource management with ResourceManager for localization, structured logging via...
eval-driven-dev
✓★ 36,200by github
You're building an automated evaluation pipeline that tests a Python-based AI application end-to-end — running it the same way a real user would, with real inputs — then scoring the outputs using evaluators and producing pass/fail results via pixie test .
aspire
✓★ 36,200by github
Code-first orchestration for polyglot distributed apps with automatic service discovery and observability. Orchestrates containers, executables, and cloud resources (C#, Python, JavaScript, Go, Java, Rust, and more) from a single .NET AppHost project Includes 144+ integrations across databases, caches, messaging, AI, and observability platforms with automatic environment variable injection for service discovery Built-in dashboard provides real-time logs, traces, metrics, and GenAI...
create-agentsmd
✓★ 36,200by github
Generates standardized AGENTS.md files to help AI coding agents understand and work with your repository. Provides a template-driven approach for creating agent-focused documentation that complements README.md with technical setup, workflow, and testing instructions Covers essential sections including project overview, setup commands, development workflow, testing, code style, build/deployment, and PR guidelines Supports monorepo structures with guidance for creating AGENTS.md files at...
planning-oracle-to-postgres-migration-integration-testing
✓★ 36,200by github
Creates an integration testing plan for .NET data access artifacts during Oracle-to-PostgreSQL database migrations. Analyzes a single project to identify…
dependabot
✓★ 36,200by github
Dependabot is GitHub's built-in dependency management tool with three core capabilities:
creating-oracle-to-postgres-migration-bug-report
✓★ 36,200by github
Creates structured bug reports for defects found during Oracle-to-PostgreSQL migration. Use when documenting behavioral differences between Oracle and…
create-architectural-decision-record
✓★ 36,200by github
Create an Architectural Decision Record (ADR) document for AI-optimized decision documentation.
create-spring-boot-java-project
✓★ 36,200by github
Generate a Spring Boot 3.4.5 project skeleton with PostgreSQL, Redis, MongoDB, and Docker Compose. Scaffolds a Maven-based Spring Boot project with Java 21, including Lombok, Spring Data JPA, Spring Web, caching, and validation dependencies Pre-configures application.properties with connection details for PostgreSQL, Redis, and MongoDB, plus SpringDoc OpenAPI for API documentation Generates a docker-compose.yaml file with Redis 6, PostgreSQL 17, and MongoDB 8 services, each with persistent...
agent-governance
✓★ 36,200by github
Declarative policies, intent classification, and audit trails for controlling AI agent tool access and behavior. Composable governance policies define allowed/blocked tools, content filters, rate limits, and approval requirements — stored as configuration, not code Semantic intent classification detects dangerous prompts (data exfiltration, privilege escalation, prompt injection) before tool execution using pattern-based signals Tool-level governance decorator enforces policies at function...
ef-core
✓★ 36,200by github
Entity Framework Core best practices guide covering design, performance, security, and testing patterns. Covers eight core areas: DbContext design, entity modeling, performance optimization, migrations, querying strategies, change tracking, security, and testing approaches Emphasizes practical patterns like DbContextFactory, IEntityTypeConfiguration separation, AsNoTracking() for read-only queries, and compiled queries for frequently executed operations Includes migration best practices such...
dotnet-design-pattern-review
✓★ 36,200by github
Comprehensive C#/.NET design pattern analysis with actionable improvement recommendations. Evaluates six core patterns: Command, Factory, Dependency Injection, Repository, Provider, and Resource patterns against GoF and SOLID principles Analyzes architecture compliance including namespace conventions, project separation, async/await patterns, and structured logging implementation Reviews code quality across security, testability, maintainability, and performance dimensions with specific...
python-mcp-server-generator
✓★ 36,200by github
Complete Python MCP server project generator with tools, resources, and proper configuration. Scaffolds a new Python project using uv with MCP SDK, proper directory structure, and .gitignore Supports both stdio (local) and streamable-http (remote) transport types with optional host, port, and stateless mode configuration Generates decorated tools, resources, and prompts with automatic schema generation from type hints and docstrings Includes comprehensive error handling, async/await support,...
draw-io-diagram-generator
✓★ 36,200by github
Use when creating, editing, or generating draw.io diagram files (.drawio, .drawio.svg, .drawio.png). Covers mxGraph XML authoring, shape libraries, style…
doublecheck
✓★ 36,200by github
Three-layer verification pipeline for AI output. Extracts verifiable claims, finds supporting or contradicting sources via web search, runs adversarial review…
schema-exploration
★ 25,700by langchain-ai
Lists tables, describes columns and data types, identifies foreign key relationships, and maps entity relationships in a database. Use when the user asks about…
query-writing
★ 25,700by langchain-ai
Writes and executes SQL queries from simple SELECTs to complex multi-table JOINs, aggregations, and subqueries. Use when the user asks to query a database,…
notion-knowledge-capture
✓★ 23,200by openai
Capture conversations and decisions into structured, linkable Notion pages for wikis, how-tos, FAQs, and decision logs. Supports six content types: decisions, how-to guides, FAQs, wiki entries, learning notes, and documentation pages, each with dedicated database templates and schemas. Includes a five-step workflow: define capture purpose, locate the target database, extract and structure content, create or update the Notion page, and link from related hub pages. Provides reference guides...
deploy-checklist
✓★ 22,300by anthropic
Pre-deployment verification checklist. Use when about to ship a release, deploying a change with database migrations or feature flags, verifying CI status and…
explore-data
✓★ 22,300by anthropic
Profile and explore a dataset to understand its shape, quality, and patterns. Use when encountering a new table or file, checking null rates and column…
code-review
✓★ 22,300by anthropic
Structured code review for security, performance, correctness, and maintainability across PR diffs and file changes. Audits security risks including SQL injection, XSS, CSRF, authentication flaws, and credential exposure Identifies performance issues like N+1 queries, memory leaks, algorithmic complexity, and resource leaks Checks correctness for edge cases, race conditions, error handling, and type safety gaps Works standalone with diffs and file paths; integrates with source control,...
sql-queries
✓★ 22,300by anthropic
Write correct, performant SQL across all major data warehouse dialects. Covers five major dialects: PostgreSQL, Snowflake, BigQuery, Redshift, and Databricks with dialect-specific syntax for date/time, string functions, arrays, and JSON handling Includes common analytical patterns: window functions, CTEs, cohort retention, funnel analysis, and deduplication with ready-to-use examples Provides performance optimization tips per dialect, such as clustering keys in Snowflake, partition pruning...
alphafold-skill
✓★ 4,000by openai
Submit compact AlphaFold Protein Structure Database API requests for prediction, UniProt summary, sequence summary, and annotation lookups. Use when a user…
supabase-postgres-best-practices
✓★ 4,000by openai
Postgres performance optimization and best practices from Supabase. Use this skill when writing, reviewing, or optimizing Postgres queries, schema designs, or…
azure-prepare
✓★ 2,700by microsoft
Prepare Azure apps for deployment (infra Bicep/Terraform, azure.yaml, Dockerfiles). Use for create/modernize or create+deploy; not cross-cloud migration (use…
azure-cosmos-rust
✓★ 2,700by microsoft
Client library for Azure Cosmos DB NoSQL API — globally distributed, multi-model database.
azure-cosmos-db-py
✓★ 2,700by microsoft
Build Azure Cosmos DB NoSQL services with Python/FastAPI following production-grade patterns. Use when implementing database client setup with dual auth…
azure-resource-visualizer
✓★ 2,700by microsoft
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create…
pydantic-models-py
✓★ 2,700by microsoft
Create Pydantic models following the multi-model pattern with Base, Create, Update, Response, and InDB variants. Use when defining API request/response…
azure-resource-visualizer
✓★ 2,700by microsoft
Analyze Azure resource groups and generate detailed Mermaid architecture diagrams showing the relationships between individual resources. WHEN: create…