token-waste-elimination
CommunityAudit and trim token waste from memory files.
Software Engineering#efficiency#prompt-engineering#memory-optimization#token-waste#LLM-audit#context-size#documentation-bloat
Authorfabioc-aloha
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Memory files are LLM context, not human documentation. Every line costs tokens. Optimize for my consumption, not human readability.
Core Features & Use Cases
- Identify and trim token waste from memory files across instructions, skills, prompts, and memory references.
- Enforce size thresholds and applyTo gates to minimize loaded context.
- Perform automated audits and lean-up during heir or release cycles.
Quick Start
Run the automated waste audit to trim oversized instructions and skill bodies from memory.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 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: token-waste-elimination Download link: https://github.com/fabioc-aloha/tldr/archive/main.zip#token-waste-elimination Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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