Results for “repository-documentation”

Generates, formats, and validates technical documentation including docstrings, OpenAPI specs, JSDoc annotations, documentation sites, and user guides.

Transform any repository's commit history and structure into a comprehensive technical summary and narrative story.

Generate an llms.txt file from repository structure, following the llms.txt specification to help LLMs navigate and understand the project.

Mantém a documentação técnica viva no Notion e no repositório, gerando runbooks, inventários, ADRs e procedimentos a partir da infraestrutura real.

Build and review high-quality technical documentation, including agent instruction files and contributor-governance files, with support for audits, multilingual parity, and sub-agent orchestration.

Creates, structures, and reviews technical documentation using the Diátaxis framework, organizing content into tutorials, how-to guides, reference material, and explanations.

Fetches up-to-date documentation for libraries, frameworks, and APIs via the Context7 MCP server instead of relying on training data.

Runs a structured interview that stress-tests a plan against the project's domain model, sharpens terminology, and updates CONTEXT.md and ADRs inline as decisions are made.

Generate structured documentation templates for components, patterns, or guidelines within a design system.

Turns folders, codebases, websites, PDFs, documents, and research topics into source-grounded HTML documents, narrated videos, or learning courses; publishes and revises collaborative HTML pages via CLI, REST API, and MCP server.

Creates a technical journey retrospective document from a coding session, capturing decisions, tradeoffs, and debugging moments in a developer blog post style.

Generates AGENTS.md files for repository folders to provide coding agents with project-specific context including build commands, testing instructions, code style, project structure, and operational boundaries, only where AGENTS.md is missing.

Creates, updates, or optimizes an AGENTS.md file for a repository with minimal, high-signal instructions covering non-discoverable coding conventions, tooling quirks, workflow preferences, and project-specific rules that agents cannot infer from reading the codebase.

Generates a comprehensive AGENTS.md file at the repository root to provide AI coding agents with project context, setup commands, development workflows, testing instructions, and code style guidelines.