Analyze source file structure to generate navigable maps with sections and line ranges.
npx skills add https://github.com/robit-man/transcribe-cli --skill code-chunker
Please help me install this Agent Skill. Skill: code-chunker Source: https://github.com/robit-man/transcribe-cli/tree/main/.claude/skills/code-chunker Command: npx skills add https://github.com/robit-man/transcribe-cli --skill code-chunker
This Skill addresses the challenge of navigating large, complex source code files by providing a structured map of their contents, enabling agents to quickly locate and understand specific sections without reading the entire file.
Map the structure of the file located at src/extensions/registry.ts.
High-intent search queries and answers about installing and using this skill.
To map large source code files for agent navigation, parse the file structure to identify top-level declarations and group them into logical sections with line ranges and summaries. This generates a navigable map for efficient reference.
Code structure analysis parses source files to identify top-level declarations and group them into logical sections. You need it when navigating large, complex files to quickly locate specific sections without reading the entire file.
Generate a JSON map of top-level declarations by analyzing the source file to detect its language and extract sections. The output includes logical sections, line ranges, dependencies, and summaries in a structured JSON format.
Yes, you can analyze code structure for multiple programming languages because the tool detects the language automatically from the file extension. It then identifies top-level declarations based on the detected language syntax.
Configure depth levels for code mapping granularity by adjusting the settings before generating the map. Different depth levels allow you to control the granularity of the structural breakdown, from high-level sections to detailed declarations.
Available output formats for code file structure mapping include human-readable map, structured JSON, and tree views. These formats provide section summaries, line ranges, and dependencies for efficient agent navigation.
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