compress-prompt
SolidCompresses prompts/skills into minimal goal-focused instructions. Trusts the model, drops what it already knows, maximizes action space. Use when asked to compress, condense, or minimize a prompt.
Install
Quality Score: 87/100
Skill Content
Details
- Author
- doodledood
- Repository
- doodledood/manifest-dev
- Created
- 6 months ago
- Last Updated
- today
- Language
- Python
- License
- MIT
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compress-prompt
Compress a Rosetta KB prompt artifact (skill · workflow · phase · rule · agent · template · generic) by stripping structural tautology and ineffective scaffolding while preserving every importance-bearing token. Use when the user asks to compress, shorten, tighten, densify, or reduce a prompt / skill / workflow / phase / rule file.
prompt-compressor
Compress verbose prompts & context before LLM processing. This skill should be used when input exceeds 1500 tokens, contains redundant phrasing, or includes unnecessary context. Reduces tokens by 40-60%.
prompt-token-efficiency
Rewrite prompts for minimal tokens, maximal clarity, and low ambiguity for LLM consumption.