knowledge-manager

Extract relevant patterns and known errors into a structured knowledge brief.

2|Updated Feb 25, 2026
One-click install
npx skills add https://github.com/AhmedElhadarey/Gilfoyle --skill knowledge-manager-ahmedelhadarey
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: knowledge-manager
Source: https://github.com/AhmedElhadarey/Gilfoyle/tree/main/skills/knowledge/knowledge-manager
Command: npx skills add https://github.com/AhmedElhadarey/Gilfoyle --skill knowledge-manager-ahmedelhadarey

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Loads knowledge patterns and error registries before a track is planned, reducing reinventing solutions and repeated mistakes.

Core Features & Use Cases

  • Pre-Planning intelligence: extracts keywords from the spec and searches knowledge bases for patterns and known errors.
  • Knowledge brief generation: outputs a structured brief for the planner to inject into planning prompts.
  • Reuse and learning: connects to past tracks to improve future planning and reduce defects.

Quick Start

Submit the track spec to knowledge-manager to produce a planner-ready knowledge brief.

Frequently Asked Questions about knowledge-manager

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

FAQPage Schema
How do I load known errors and patterns before track planning to prevent repeated mistakes?

Loading known errors and patterns before track planning requires submitting your track spec. The system scans knowledge bases for past learnings and generates a structured brief to inform the planner prompt.

What is pre-planning intelligence and how does it improve feature, UI, and integration tracks?

Pre-planning intelligence is the process of scanning knowledge bases for patterns and errors before track planning. It improves feature, UI, and integration tracks by generating a knowledge brief that connects past learnings to the planner.

Can I use a knowledge brief to inject past learnings into my planner prompt?

Yes, you can inject past learnings into your planner prompt using a knowledge brief. The system generates this brief by scanning knowledge bases for patterns and errors, connecting past tracks to improve future planning.

Does knowledge-manager require specific file formats like patterns.md or errors.json to work?

Yes, knowledge-manager requires specific file formats to work. It scans conductor/knowledge/patterns.md and conductor/knowledge/errors.json to extract relevant patterns and known errors before generating the planner-ready knowledge brief.

What's the best way to stop reinventing solutions during track planning?

The best way to stop reinventing solutions during track planning is to load institutional memory beforehand. Scanning knowledge bases for patterns and known errors generates a structured brief that informs the planner with past learnings.