What problem does it solve? Blog and knowledge-base authors receive reader comments that require thoughtful, article-grounded replies, but manually drafting each response is slow and inconsistent. This Skill turns one approved comment task into a ready-to-publish markdown reply automatically. ## Core Features & Use Cases - Context-grounded replies: Fetches the full article content via the local HTTP API (with sf-cli fallback) so answers are tied to the actual article text, selected quote, and anchor context. - Thread-aware responses: Incorporates quoted comment threads and prior AI replies when responding to nested discussions. - Rich markdown output: Produces valid markdown with optional Mermaid 10.x diagrams, cited web sources, and explicit uncertainty statements, written atomically to a backend-provided result file. - Use Case: A reader highlights a paragraph about memory allocation and asks a follow-up question; the backend approves the comment task, and this Skill generates a technical reply with an example and a flowchart, saved for publication in the comment thread. ## Quick Start Run this skill with the backend-provided comment task payload to generate a markdown reply for the approved comment and write it to the result file path.
