docs-sync-automaton

Analyze the Memory Bank to identify impacted source files and plan documentation updates.

Updated May 18, 2025
One-click install
npx skills add https://github.com/ki2pixel/render_signal_server --skill docs-sync-automaton
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: docs-sync-automaton
Source: https://github.com/ki2pixel/render_signal_server/tree/main/.windsurf/skills/docs-sync-automaton
Command: npx skills add https://github.com/ki2pixel/render_signal_server --skill docs-sync-automaton

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It automates the end-to-end update of project documentation by analyzing the Memory Bank, pinpointing affected code, and refreshing all related docs.

Core Features & Use Cases

  • Audit and map code changes to documentation in docs/, including core, ingestion, ops, and processing sections.
  • Generate updated sections, anchors, and cross-references to ensure documentation stays in sync with the codebase.
  • Support end-to-end workflows from memory-bank analysis to documentation deployment.

Quick Start

Run the docs-sync-automaton workflow to regenerate documentation based on the latest memory-bank state.

Frequently Asked Questions about docs-sync-automaton

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

FAQPage Schema
How do I automatically update project documentation to match code changes?

To automatically update project documentation, this Skill analyzes the Memory Bank, pinpoints affected source files, and regenerates related docs to ensure everything stays in sync with the codebase.

How do I keep docs/ sections synchronized after a feature development or bug fix?

You can keep docs/ sections synchronized by running the docs-sync workflow, which audits code changes and updates core, ingestion, ops, and processing documentation end-to-end.

What do I need to set up before automating documentation generation from a memory bank?

To automate documentation generation, you need memory-bank md files, repository access, and a Python virtualenv to execute the run_docs_audit.sh script for collecting context and planning changes.

How does a memory bank code audit identify which documentation needs updating?

A memory bank code audit identifies documentation updates by analyzing memory-bank md files to map impacted source files, then generating updated sections, anchors, and cross-references across the docs/ directory.

What's the best way to generate cross-references and anchors when updating documentation?

The best way to generate cross-references and anchors is using an automated docs-sync workflow that maps code changes to the docs/ structure and regenerates links to maintain codebase alignment.