tldr▌

Full 5-layer analysis of a specific function. Use when debugging or deeply understanding code.

Get a token-efficient overview of any project using the TLDR stack.

Token-efficient code analysis. 95% savings vs raw file reads.

Create concise tldr summaries for GitHub Copilot files, MCP servers, and documentation. \n \n Transforms verbose Copilot customization files (.prompt.md, .agent.md, .instructions.md, .collections.md), MCP server docs, and URLs into example-driven tldr references \n Supports batch processing of up to 5 files or URLs; automatically resolves ambiguous queries by searching workspace or GitHub awesome-copilot \n Generates markdown-formatted tldr pages with correct invocation syntax (/ for prompts, @

Maps questions to the optimal tldr command. Use this to pick the right layer.

Show a beautiful dashboard with token usage, actual API costs, TLDR savings, and hook activity.

Create concise, example-driven tldr pages from documentation URLs and command names. \n \n Requires both a command name and authoritative documentation URL; provides guidance if either is missing \n Extracts 5–8 most common use cases ordered by frequency, following strict tldr-pages project formatting standards \n Uses {{placeholder}} syntax for options, arguments, and user-provided values with specific conventions for flags, options with arguments, and subcommands \n Validates documentation sou