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text-optimizer

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.

personAuthor: jakexiaohubgithub

Plugin: 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:

/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, match style, descriptive instructions, overengineering | | Token efficiency | T.1-T.8 | Tables, bullets, one-liners, inline code, abbreviations, filler, comma lists, arrows | | Structure | S.1-S.8 | XML tags, imperative, single source, context/motivation, blockquotes, progressive disclosure, consistent terminology, ref depth | | Reference integrity | R.1-R.3 | Verify file paths, check URLs, linearize circular refs | | Perception | P.1-P.6 | Examples near rules, hierarchy, bold keywords, standard symbols, instruction order, default over options |

ID-to-Rule Mapping

| ID | Rule | ID | Rule | |----|------|----|------| | C.1 | Literal instruction following | C.2 | Avoid "think" word | | C.3 | Positive framing (do Y not don't X) | C.4 | Match prompt style to output | | C.5 | Descriptive over emphatic instructions | C.6 | Overengineering prevention | | T.1 | Tables over prose (multi-column) | T.2 | Bullets over numbered (~5-10%) | | T.3 | One-liners for rules | T.4 | Inline code over blocks | | T.5 | Standard abbreviations (tables only) | T.6 | Remove filler words | | T.7 | Comma-separated inline lists | T.8 | Arrows for flow notation | | S.1 | XML tags for sections | S.2 | Imperative form | | S.3 | Single source of truth | S.4 | Add context/motivation | | S.5 | Blockquotes for critical | S.6 | Progressive disclosure | | R.1 | Verify file paths | R.2 | Check URLs | | R.3 | Linearize circular refs | P.1 | Examples near rules | | P.2 | Hierarchy via headers (max 3-4) | P.3 | Bold for keywords (max 2-3/100 lines) | | P.4 | Standard symbols (→ + / ✅❌⚠️) | | | | S.7 | Consistent terminology | S.8 | One-level reference depth | | P.5 | Instruction order (anchoring) | P.6 | Default over options |

Mode-to-Rules Mapping

| Mode | Applies | Notes | |------|---------|-------| | Light | C.1-C.6, T.6, R.1-R.3, P.1-P.4 | Text cleanup only — no restructuring | | Medium | All rules (C + T + S + R + P) | Balanced transformations | | Deep | All rules + aggressive rephrasing | Merge sections, max compression |

Usage

| Input | Action | |-------|--------| | No args | Prompt user for file or folder path | | Single path | Process file directly | | path1, path2 | Process files sequentially | | -l file.md | Light mode — text cleanup only | | -d file.md | Deep mode — max compression | | folder/ | All .md files in directory |

File Processing

Input Parsing

| Input | Action | |-------|--------| | No args | Prompt user for file or folder path | | Single path | Process directly | | path1, path2 | Process files sequentially |

Execution Flow

  1. Read references/rules-review.md — load all optimization rules
  2. Read target file(s)
  3. Analyze: identify type (prompt, docs, agent, skill), note critical info and cross-references
  4. Apply rules by mode (see Mode-to-Rules Mapping)
  5. Edit file with optimized content
  6. Generate optimization report

Quality Checklist

Before

  • [ ] Read entire text
  • [ ] Identify type (prompt, docs, agent, skill)
  • [ ] Note critical info and cross-references

During — Apply by Mode

| Check | Light | Med | Deep | |-------|-------|-----|------| | C.1-C.6 (Claude behavior) | Yes | Yes | Yes | | T.6 (filler removal) | Yes | Yes | Yes | | T.1-T.5, T.7-T.8 (token compression) | - | Yes | Yes | | S.1-S.8 (structure/clarity) | - | Yes | Yes | | R.1-R.3 (reference integrity) | Yes | Yes | Yes | | P.1-P.4 (LLM perception) | Yes | Yes | Yes | | Aggressive rephrasing | - | - | Yes | | No information loss | Yes | Yes | Yes |

After

  • [ ] All facts preserved
  • [ ] Logic consistent
  • [ ] References valid (R.1-R.3)
  • [ ] Tokens reduced

Output Format

## Optimization Report: [filename]

| Metric | Before | After | Change |
|--------|--------|-------|--------|
| Lines  | X      | Y     | -Z%    |
| Tokens | ~X     | ~Y    | -Z%    |

### Rules Applied
- [Rule IDs]: [Description of changes]

### Issues Found & Fixed
- [Issue]: [Resolution]

### Cross-Reference Verification
- [x] All file refs valid (R.1)
- [x] All URLs checked (R.2)
- [x] No circular refs (R.3)

---

**Full development platform:** [brewcode](https://github.com/kochetkov-ma/claude-brewcode) — infinite focus tasks, 14 agents, quorum reviews, knowledge persistence.
Install: `claude plugin marketplace add https://github.com/kochetkov-ma/claude-brewcode && claude plugin install brewcode@claude-brewcode`

Anti-Patterns

| Avoid | Why | |-------|-----| | Remove all examples | Hurts generalization (P.1) | | Over-abbreviate | Reduces readability (T.5 caveat) | | Generic compression | Domain terms matter | | Over-aggressive language | Opus 4.5 overtriggers (C.5) | | Flatten hierarchy | Loses structure (P.2) | | "Don't do X" framing | Less effective than "Do Y" (C.3) | | Overengineer prompts | Opus 4.5 follows literally (C.6) | | Overload single prompts | Divided attention, hallucinations (S.3) | | Over-focus on wording | Structure > word choice (T.1) |