Documentation AI Agent Skills

you are an expert in coding with swift, swift ui. you always write maintainable code and clean code.

Guide for creating effective skills for AI coding agents working with Azure SDKs and Microsoft Foundry services. Use when creating new skills or updating existing skills.

Initialize project with Conductor artifacts (product definition,

Create Mermaid diagrams for flowcharts, sequences, ERDs, and

Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.

Creates comprehensive technical documentation from existing

Expert C4 Context-level documentation specialist. Creates

Create employment contracts, offer letters, and HR policy documents following legal best practices. Use when drafting employment agreements, creating HR policies, or standardizing employment documentation.

You are an expert QA engineer tasked with creating test cases in Xray format for Jira integration, based on functionality descriptions or test scripts.

Use when the user asks about WordPress codebases (plugins, themes, block themes, Gutenberg blocks, WP core checkouts) and you need to quickly classify the repo and route to the correct workflow/skill (blocks, theme.json, REST API, WP-CLI, performance, security, testing, release packaging).

Regulatory compliance for AI-powered development tools — classify AI systems, check obligations, and get article-level citations across 240+ articles and 3 major regulations. Full Documentation · Get API Key · API Reference Gibs MCP Server connects your AI development environment directly to a regulatory compliance knowledge base. Currently covering: Every response includes article-level citations

Use when creating, updating, or improving agent skills.

Expert C4 Code-level documentation specialist. Analyzes code

Master network protocol reverse engineering including packet analysis, protocol dissection, and custom protocol documentation. Use when analyzing network traffic, understanding proprietary protocols, or debugging network communication.

Generate and maintain OpenAPI 3.1 specifications from code, design-first specs, and validation patterns. Use when creating API documentation, generating SDKs, or ensuring API contract compliance.

GraphQL gives clients exactly the data they need - no more, no less. One endpoint, typed schema, introspection. But the flexibility that makes it powerful also makes it dangerous. Without proper controls, clients can craft queries that bring down your server. This skill covers schema design, resolvers, DataLoader for N+1 prevention, federation for microservices, and client integration with Apollo/urql. Key insight: GraphQL is a contract. The schema is the API documentation. Design it carefully.

GenAI Agent Framework, the Pydantic way Documentation: ai.pydantic.dev FastAPI revolutionized web development by offering an innovative and ergonomic design, built on the foundation of Pydantic Validation and modern Python features like type hints. Yet despite virtually every Python agent framework and LLM library using Pydantic Validation, when we began to use LLMs in Pydantic Logfire, we couldn'

A Model Context Protocol (MCP) server that provides access to GitHub's GraphQL API. This server exposes a single tool that allows executing arbitrary GraphQL queries and mutations against GitHub's API. - Execute any GraphQL query against GitHub's API - Comprehensive error handling and reporting - Detailed documentation with example queries - Support for variables in GraphQL operations - Python 3.1

Analyze Stitch projects and synthesize a semantic design system into DESIGN.md files

Generates rich technical documentation pages with dark-mode Mermaid diagrams, source code citations, and first-principles depth. Use when writing documentation, generating wiki pages, creating technical deep-dives, or documenting specific components or systems.

You are a documentation expert specializing in creating comprehensive, maintainable documentation from code. Generate API docs, architecture diagrams, user guides, and technical references using AI-powered analysis and industry best practices.

AI-powered Amazon Seller Central tools for inventory management, fee calculation, and optimization via SP-API. mcp-name: io.github.wmarceau/amazon-seller See SKILL.md for detailed tool documentation. Create .env file: - FBA fulfillment fees (size-tier based) - Monthly storage fees (seasonal rates) - Aged inventory surcharges (12-15mo, 15+mo) - Low inventory level fees - GET call fee awareness (pos

Use when developing WordPress (Gutenberg) blocks: block.json metadata, register_block_type(_from_metadata), attributes/serialization, supports, dynamic rendering (render.php/render_callback), deprecations/migrations, viewScript vs viewScriptModule, and @wordpress/scripts/@wordpress/create-block build and test workflows.

A Model Context Protocol (MCP) server that exposes FinBrain datasets to AI clients (Claude Desktop, VS Code MCP extensions, etc.) via simple tools. Backed by the official finbrain-python SDK. - Package name: finbrain-mcp - CLI entrypoint: finbrain-mcp - Documentation: finbrain.tech/integrations/mcp Access FinBrain's machine learning price forecasts with daily (10-day) and monthly (12-month) horizo