Turn technical, analytical, or practitioner ideas into conversational narratives that feel like a real operator thinking with the reader. The plugin routes fresh drafts, technical explanations, series continuations, and voice-preserving rewrites through focused Skills. It prioritizes friction before terminology, concrete examples before abstraction, decision consequences over information dumps, natural Arabic-English code-switching when present in the source voice, controlled humor, useful roughness, and open-loop endings. It also audits drafts for repetitive contrast formulas, generic thought-leadership language, decorative English, fake certainty, over-structured headings, and other patterns that make expert writing feel synthetic.
Install
- 1Add it in ChatGPT
Open Plugins in the ChatGPT sidebar (web or desktop), search for “Conversational Narrative” and select +. You'll be asked to sign in to any connected service on first use. Then type @ in a chat to call it.
Skills 5
- conversational-narrative-router
Use when the user wants a technical or practitioner social post written, continued, explained, audited, or rewritten in a conversational diagnostic deep-dive style without flattening their demonstrated voice.
- diagnostic-deep-dive-writer
Use when turning a practitioner observation, project update, audit finding, technical argument, or rough notes into a long-form social post that reasons from friction to diagnosis to decision in a natural conversational voice.
- series-continuity-writer
Use when continuing a multi-part technical or practitioner content series and the new post must advance the unresolved thread without re-teaching earlier parts or losing the established voice.
- technical-concept-storyteller
Use when a technical marketing, analytics, AI, product, engineering, or statistical concept needs to be explained in an experienced practitioner's conversational voice instead of as a glossary or textbook definition.
- voice-fidelity-reviewer
Use when auditing or rewriting a technical or practitioner post that feels AI-written, over-polished, repetitive, over-structured, or unlike the demonstrated speaker while preserving meaning, evidence, and useful roughness.
Things to ask
- “Turn these notes into a conversational diagnostic deep-dive in my voice.”
- “Continue this series without repeating what the previous post already taught.”
- “Audit this draft for slop, preserve the voice, and rewrite only what weakens it.”