← ClaudeAtlas

text-optimizerlisted

Optimizes text, prompts, and documentation for LLM token efficiency. Applies 41 research-backed rules across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, and LLM comprehension. Use when optimizing prompts, reducing tokens, compressing verbose docs, or improving LLM instruction quality.
kochetkov-ma/claude-brewcode · ★ 27 · AI & Automation · score 77
Install: claude install-skill kochetkov-ma/claude-brewcode
> Plugin: [kochetkov-ma/claude-brewcode](https://github.com/kochetkov-ma/claude-brewcode) ## Text Optimizer Reduces token count in prompts, docs, and agent instructions by **20–40%** without losing meaning. Applies **41 research-backed rules** across 6 categories: Claude behavior, token efficiency, structure, reference integrity, perception, LLM comprehension. **Benefits:** cheaper API calls · faster model responses · clearer LLM instructions · fewer hallucinations **Examples:** ```bash /text-optimize prompt.md # single file, medium mode (default) /text-optimize -d agents/ # deep mode — all .md files in directory ``` > _Skill text is written for LLM consumption and optimized for token efficiency._ --- # Text & File Optimizer ## Step 0: Load Rules > **REQUIRED:** Read `references/rules-review.md` before ANY optimization. > If file not found -> ERROR + STOP. Do not proceed without rules reference. ## Modes Parse `$ARGUMENTS`: `-l`/`--light` | `-d`/`--deep` | no flag -> medium (default). | Mode | Flag | Scope | |------|------|-------| | Light | `-l`, `--light` | Text cleanup only — structure, lists, flow untouched | | Medium | _(default)_ | Balanced restructuring — all standard transformations | | Deep | `-d`, `--deep` | Max density — rephrase, merge, compress aggressively | ## Rule ID Quick Reference | Category | Rule IDs | Scope | |----------|----------|-------| | Claude behavior | C.1-C.6 | Literal following, avoid "think", positive framing, mat