Individual skill
context-window-optimizer
Curates and condenses codebase context, file contents, and prompts to optimize LLM token usage and response quality.
skills/productivity/context-window-optimizer/SKILL.md
Source commit d0a9928d24afb7df0fad2f2f35f65d3938a6926a
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- Last checked
- Nov 5, 2026
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- 27
- Repository last updated
- Aug 20, 2026
- License
- MIT
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- claude-code Repository topic
- ai Repository topic
- ai-agents Repository topic
- ai-coding Repository topic
- ai-skill Repository topic
- ai-skill-enhancement Repository topic
- ai-skills Repository topic
- ai-skills-analysis Repository topic
- ai-skills-fest Repository topic
- ai-skills-manager Repository topic
- engineering Derived category
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README.mddoc · 580 bytesSKILL.mdcore · 1,624 bytesexamples/example.mddoc · 921 bytes
Read excerpt
## Purpose
Compress, filter, and structure codebase context and instructions provided to AI coding agents and LLMs, maximizing token efficiency, eliminating noise, and preventing context window dilution.
## When to Use
- Feeding large codebases, trace logs, or documentation into AI assistants.
- Hitting token context limits in AI agent sessions.
- Improving LLM reasoning accuracy by stripping unneeded boilerplate and node_modules cruft.
## What to Analyze
1. **Signal-to-Noise Ratio**: Strip minified bundles, lockfiles, compiled artifacts, and repetitive mock fixtures.
2. **Skeleton & Interface Extraction**: Extract TypeScript interfaces, class signatures, and exported function headers rather than full 1,000-line function bodies.