Parse and summarize large multi-language codebases with the TLDR CLI.
npx skills add https://github.com/JSai23/claude-tooling --skill util-tldr
Please help me install this Agent Skill. Skill: util-tldr Source: https://github.com/JSai23/claude-tooling/tree/main/compiled/util/agentskills/util-tldr Command: npx skills add https://github.com/JSai23/claude-tooling --skill util-tldr
Token-efficient code analysis and discovery across large codebases, enabling quick understanding without verbose prompts.
Run the TLDR CLI to quickly generate a concise view of your project structure.
High-intent search queries and answers about installing and using this skill.
You can analyze a large codebase structure across multiple languages by parsing and summarizing file-trees, cross-file calls, and imports using the TLDR CLI to reveal project architecture. It supports Python, TypeScript, Go, and Rust projects.
The best way to generate cross-file call graphs for a TypeScript project is using TLDR CLI code analysis, which maps function relationships and architecture decisions token-efficiently without requiring verbose prompts.
Yes, this codebase analysis tool requires the tldr executable to be installed and available on your system PATH before you can parse and summarize project structures or generate diagnostics.
Yes, you can inspect imports and architecture for Python and Rust in the same project. The TLDR CLI supports multi-language cross-file analysis to map relationships and guide refactoring across mixed codebases.
You get code quality and diagnostics for a Go codebase by running TLDR CLI analysis commands, which evaluate multi-language project structures to guide optimization and reveal architectural relationships.
Use the TLDR CLI for codebase structure mapping because it provides token-efficient code analysis and discovery, enabling quick understanding of large codebases without verbose prompts or manual file-tree inspection.
JSai23Generate code trees, structure maps, and call graphs via the tldr CLI.
mistakeknotGenerate project-level code maps with call graphs and cross-project dependencies.
lazygophersEnforce standardized Git commit messages with type, scope, subject, body, and footer.
parcadeiMap natural language questions to specific tldr commands for code analysis.
