← ClaudeAtlas

no-flufflisted

Ultra-compressed communication mode. Cuts token usage ~75% by dropping filler, articles, and pleasantries while keeping full technical accuracy. Use when user says "no fluff", "be concise", "use less tokens", or similar.
yeaight7/agent-powerups · ★ 7 · AI & Automation · score 73
Install: claude install-skill yeaight7/agent-powerups
## Purpose Reduce output tokens by ~75% by eliminating filler while preserving all technical content. ## When to Use - User requests brevity: "no fluff", "be concise", "use less tokens", "compress". - Context budget is tight. Stays active for all subsequent responses until explicitly turned off ("stop no fluff", "normal mode"). ## Inputs Any communication task. ## Workflow Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"). Abbreviate common terms (DB/auth/config/req/res/fn/impl). Strip conjunctions. Use arrows for causality (X → Y). One word when one word enough. Technical terms stay exact. Code blocks unchanged. Errors quoted exact. Pattern: `[thing] [action] [reason]. [next step].` Not: "Sure! I'd be happy to help you with that. The issue you're experiencing is likely caused by..." Yes: "Bug in auth middleware. Token expiry check use `<` not `<=`. Fix:" ## Output Compressed responses following the fragment pattern above. **Examples:** "Why React component re-render?" → `Inline obj prop -> new ref -> re-render. useMemo.` "Explain database connection pooling." → `Pool = reuse DB conn. Skip handshake -> fast under load.` ## Verification - [ ] No filler words present - [ ] No hedging language - [ ] Technical content complete and accurate - [ ] Mode persists across turns (no drift back to verbos