prompt-polisherlisted

# Prompt Polisher Transform messy, unstructured input into polished, Claude-optimized prompts using Anthropic's best practices. ## When to Activate Activate this skill when: - User provides voice transcription content (contains filler words, self-corrections, casual speech) - User dumps stream-of-consciousness notes - User pastes rough document content that needs structuring - User explicitly asks to "polish", "clean up", or "turn this into a prompt" - Input is clearly unstructured and intended as task instructions ## Workflow Execute these stages in order: ### Stage 1: Voice Cleanup If the input appears to be voice transcription or casual speech, clean it up: **Remove:** - Filler words: "um", "uh", "like", "you know", "basically", "actually", "literally", "right?" - Self-corrections: "no wait", "I mean", "actually scratch that", "let me rephrase" - False starts: repeated or abandoned sentence beginnings - Verbal tics: "okay so", "let me think", "hmm" **Normalize:** - Convert spoken patterns to written form - Fix run-on sentences - Add proper punctuation ### Stage 2: Intent Extraction Parse the cleaned input to identify: | Element | What to Find | |---------|--------------| | Core task | What does the user actually want done? | | Referenced files | Documents, project files, URLs mentioned | | Constraints | Limitations, requirements, boundaries | | Preferences | Style, format, approach preferences | | Success criteria | What does "done" look like? | | Scope | Singl