tldr-swinton
CommunityToken-efficient code reconnaissance
Software Engineering#typescript#code analysis#semantic search#llm#token efficiency#rust#code reconnaissance
Authormistakeknot
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill drastically reduces the number of tokens LLMs need to process when analyzing codebases, making code understanding and generation faster and more cost-effective.
Core Features & Use Cases
- Token Efficiency: Achieves significant token savings (48-85%) through advanced techniques like diff-context, semantic search, and structural pattern analysis.
- Multi-Language Support: Capable of analyzing code in TypeScript, Rust, Go, and Python.
- Use Case: When onboarding to a large, unfamiliar codebase, use this Skill to get a concise, token-efficient overview of the project's structure and key components, enabling faster comprehension and development.
Quick Start
Run tldrs quickstart for a concise reference guide.
Dependency Matrix
Required Modules
None requiredComponents
referencesscripts
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: tldr-swinton Download link: https://github.com/mistakeknot/Demarch/archive/main.zip#tldr-swinton Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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