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bitterpillengineering

Audits any AI instruction set for over-prompting using the core test: would a smarter model make this rule unnecessary? Applies Five Questions to every rule — Does Claude already do this? Contradiction? Redundant? One-off fix? Vague? — then classifies each as CUT / RESOLVE / MERGE / EVALUATE / SHARPEN / MOVE / KEEP. Two workflows: Audit (full system — reads all force-loaded files from settings.json, reports token savings estimate) and QuickCheck (single file, fast keep/cut/sharpen verdict). Outputs categorized report with estimated line and token savings. Core principle: less scaffolding = better output — every unnecessary rule competes for attention and degrades the rules that matter. Anti-fragile rules to KEEP: verification harnesses, ISC, data pipelines, specific DO/DON'T examples, tool preferences, routing rules. Fragile rules to CUT: CoT orchestrators, format parsers, retry cascades, numeric personality scales, abstract value statements. Requires loadAtStartup and postCompactRestore.fullFiles to stay in

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Datos de origen

Repositorio
danielmiessler/Personal_AI_Infrastructure
Última actividad en el origen
1 de mayo de 2026 a las 21:11
Idioma detectado de SKILL.md
inglés
Estrellas
15.967
Forks
2205

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