What problem does it solve?
Manually rewriting source content (from URLs, files, or pasted text) into original, publishable articles is time-consuming and often results in stiff, AI-generated or translation-like tone that fails to engage human readers. This Skill automates the entire retelling workflow to produce natural, human-sounding articles that retain the core value of the original content while sounding like they were written by a real person.
Core Features & Use Cases
- End-to-end retelling pipeline: Handles full workflow from source ingestion (URLs, local files, pasted text) to analysis, structure proposal, narrative reconstruction, and final publishable output.
- Style and voice alignment: Matches 5 predefined writing styles (calm analysis, sharp opinion, tutorial, narrative, essay) and anchors to a natural human voice, eliminating AI clichés, translation artifacts, and stiff formal tone.
- Multi-source content processing: Supports processing multiple input sources, cross-referencing information, resolving content conflicts, and merging overlapping points into a cohesive original narrative.
- Built-in quality guardrails: Includes structured approval gates, taste checks, and mechanical quality inspections to ensure output is self-contained, free of AI markers, and ready for publication on blogs, social media, or editorial platforms.
Quick Start
Use the article-retelling skill to rewrite the provided source content (URL, file path, or pasted text) into a natural, publishable article that matches your specified writing style and target audience.