# Dialogue Refiner

> Analyzes and refines dialogue for authentic character voices, natural flow, subtext, and emotional impact. Use this to elevate conversations from functional to compelling.

- Skill: `aibot88/dialogue-refiner` (Agent Skill, multi-file: 2 files)
- Install (CLI): `npx skillmds@latest add aibot88/dialogue-refiner`
- Raw SKILL.md: https://api.skillmd.com/api/skills/aibot88/dialogue-refiner/raw
- Safety review: pending (external: skill-scanner PASS, skillspector PASS)
- Works with: Claude Code, Claude.ai, OpenAI Codex
- Category: Coding & Dev Tools
- Author: aibot88 (https://skillmd.com/u/aibot88)
- Updated: 2026-09-09
- Page: https://skillmd.com/skills/aibot88/dialogue-refiner

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# Dialogue Refiner Instructions

1. Request dialogue sample from the user (chapter, scene, or specific exchanges).
2. Analyze for key quality markers:
   - **Voice Distinction**: Each character sounds unique with consistent speech patterns, vocabulary, and rhythm.
   - **Subtext**: What characters mean vs. what they say; emotional undercurrents.
   - **Naturalness**: Realistic speech patterns without being verbose; uses contractions, interruptions, pauses.
   - **Purpose**: Every line reveals character, advances plot, or builds tension.
   - **Show Don't Tell**: Emotion conveyed through word choice and rhythm, not exposition.
   - **Tags and Beats**: Dialogue tags (said, asked) used sparingly; action beats show emotion.
3. Identify specific issues:
   - Characters sounding identical
   - On-the-nose dialogue (stating exactly what they mean)
   - Info-dumping or unnatural exposition
   - Overuse of names in conversation
   - Weak or repetitive dialogue tags
   - Missing emotional layers
4. For each issue, provide:
   - Original line with problem highlighted
   - Explanation of why it doesn't work
   - Rewritten version with improvement
   - Technique used (subtext, voice, etc.)
5. Offer 2-3 character voice tips based on their personality from character profiles if available.
6. Output in Markdown with sections: "Analysis Summary", "Specific Improvements", "Voice Consistency Notes", "Overall Recommendations".

