text-cleanup

name	text-cleanup
description	Remove AI-generated filler, repetition, inflated language, and redundant comments while preserving meaning.
metadata	{"category":"user-invoked","version":"2.0.0","tags":"text-cleanup, slop-removal"}
disable-model-invocation	true

Default output: return the cleaned text only. For file edits, report changed files and verification in at most three bullets.

Text cleanup

Cut words that do not add facts, constraints, decisions, or useful context.

Remove

• Conversational openers and closers.
• Fake urgency, rewards, penalties, challenges, and fictional credentials.
• Generic instructions such as "be thorough," "think step by step," or "work systematically."
• Confidence self-ratings unless backed by a defined metric.
• Repeated conclusions, transitions, and restated headings.
• Self-evident comments that repeat code.
• Vague claims such as "experts say" without a source.
• Inflated words when a plain word is accurate.

Preserve

• Technical constraints, numbers, formulas, and acceptance criteria.
• Error cases, security warnings, and compatibility limits.
• Decisions and their rationale.
• Examples that clarify format or edge behavior.
• Required schemas and domain terminology.

Rewrite rules

• Lead with the result.
• Prefer active voice and concrete nouns.
• Replace vague quality words with measurable requirements.
• Keep one idea per sentence.
• Use the minimum headings and bullets needed for scanning.
• Do not shorten text when brevity would remove necessary precision.

Code cleanup

When cleaning branch code, limit edits to introduced slop: redundant comments, unnecessary wrappers, abnormal defensive handling, type escapes, and avoidable nesting. Preserve behavior and run affected checks.