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comment-review-ai-responder

Generate publish-ready Markdown replies for approved article comments.

Updated Aug 27, 2026
Search Tags:#workflow#markdown#ai#comment#publication#content-api
One-click install
npx skills add https://github.com/acking-you/static_flow --skill comment-review-ai-responder
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: comment-review-ai-responder
Source: https://github.com/acking-you/static_flow/tree/main/skills/comment-review-ai-responder
Command: npx skills add https://github.com/acking-you/static_flow --skill comment-review-ai-responder

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Automatically generate publish-ready AI replies for approved article comments by assembling article context and the relevant discussion, reducing manual drafting time and improving consistency.

Core Features & Use Cases

  • Fetches article content from a local HTTP API and uses a deterministic workflow to craft a complete Markdown reply.
  • Incorporates optional context fields (selected_text, anchor_context_before/after, reply_to_comment_text, etc.) to ensure accurate and contextual responses.
  • Writes the final reply to a backend-provided local result file path for downstream publishing and auditability.

Quick Start

Trigger the task with the payload path and run the skill to produce the final markdown reply at the designated result path.

Frequently Asked Questions about comment-review-ai-responder

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automatically generate markdown replies for approved article comments?▼

This skill automates AI replies for approved article comments by reading a JSON payload, fetching article context via a local content API, and writing a publish-ready markdown file to a backend-provided result path.

How does the AI comment responder handle context from selected text and anchors?▼

The AI comment responder incorporates optional context fields like selected_text, anchor_context_before/after, and reply_to_comment_text from the JSON payload to ensure accurate and contextual markdown responses.

Can I use sf-cli to fetch article content if the local content API fails?▼

Yes, the skill fetches article context from a local HTTP content API first and automatically falls back to sf-cli if needed to assemble the reply.

Do I need a backend admin action to trigger the automatic comment reply workflow?▼

Yes, a backend admin action is required. The workflow applies when the backend triggers an approved comment task and expects the skill to output a local markdown result file for downstream publishing.

What is the best way to ensure AI-generated comment replies are publish-ready?▼

The best way to ensure publish-ready AI replies is to use a deterministic workflow that assembles article context and writes the final markdown to a backend-provided result path with proper safeguards for auditability.

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