claude

retell

Transform Claude Code conversation transcripts into polished, first-person blog posts through an interactive 5-stage pipeline — parse, triage, outline, draft, polish — with human editorial gates at every stage

37 on GitHubby Dr. Oliver Borchersv1.1.3MITupdated 18 days ago
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Plugin retell from marketplace fractional-cto in oborchers/fractional-cto. Commands read from the repo's manifest — 18 days ago.

What it installs

Skills (2)

  • conversation-format

    This skill should be used when parsing Claude Code conversation files, reading conversation history, working with ".jsonl" conversation transcripts, extracting signal from conversation data, filtering noise entries, linking subagent files, detecting session boundaries, or understanding the Claude Co

  • narrative-craft

    This skill should be used when writing a blog post from conversation data, identifying story arcs in human-AI collaboration, structuring narrative beats, choosing story angles, handling user quotes, or applying editorial principles to conversation-derived content. Covers first-person voice constrain

Slash commands (1)

  • /retell:retell

    Transform a Claude Code conversation into a polished blog post through an interactive 5-stage pipeline

Subagents (2)

  • outline-architect

    Use this agent to create a structured blog post outline from a chosen story angle. This agent reads the full event stream (including relevant subagent content), the author's chosen angle, and any editorial notes, then produces a section-by-section outline with beat treatments, key quotes, and word c

  • triage-analyst

    Use this agent to assess whether a parsed conversation is blog-worthy and to generate story angle recommendations. This agent reads events.json (the extracted signal from a Claude Code conversation) and outputs a structured triage report with angles, a recommendation, a timeline, and context questio

View source on GitHub drborchers.com

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