maestro-knowledge

Route natural-language requests to Maestro knowledge lifecycle commands.

76|5|Updated Jul 7, 2026
One-click install
npx skills add https://github.com/catlog22/pi-maestro-flow --skill maestro-knowledge
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: maestro-knowledge
Source: https://github.com/catlog22/pi-maestro-flow/tree/main/.pi/skills/maestro-knowledge
Command: npx skills add https://github.com/catlog22/pi-maestro-flow --skill maestro-knowledge

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill helps you manage a persistent knowledge store without memorizing rigid commands, so you can audit, review, stage, promote, harvest, and maintain wiki or domain knowledge from natural-language intent.

Core Features & Use Cases

  • Intent Classification: Interprets your request and routes it to the correct knowledge workflow.
  • Knowledge Lifecycle Operations: Supports auditing and pruning, reviewing candidates and resolving conflicts, staging signals, promoting eligible items, and harvesting artifacts from sessions or outputs.
  • Wiki and Domain Management: Handles wiki health, connections, digests, extractors, and domain term registration for long-lived project knowledge.
  • Use Case: Ask it to audit a knowledge base, harvest a session, or register a new term like MVP, and it will select the matching Maestro knowledge command.

Quick Start

Tell the skill your knowledge intent in plain language, such as “审计知识库” or “harvest this session,” and it will classify the request and run the matching Maestro knowledge workflow.

Frequently Asked Questions about maestro-knowledge

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

FAQPage Schema
How do I audit and review a persistent project knowledge store?

Knowledge lifecycle management audits, reviews, stages, promotes, and harvests persistent project knowledge stores through intent-driven workflows. You issue natural-language requests to classify intents and route them to matching knowledge commands for operations like pruning and conflict resolution.

How do I harvest session artifacts into a project wiki?

Harvesting session artifacts involves issuing a natural-language request like “harvest this session” to classify the intent and route it to the matching Maestro knowledge command. This extracts and stores session outputs into the persistent project knowledge base.

What is the best way to promote eligible knowledge candidates and register domain terms?

Promoting candidates and registering domain terms like MVP requires issuing a natural-language intent that gets classified and routed to the correct knowledge workflow. This preserves stable identifiers and review-based dispositions throughout the staging and promotion process.

Does intent-driven knowledge management work without memorizing rigid commands?

Yes, intent-driven knowledge management interprets natural-language requests and routes them to the correct knowledge workflows without rigid commands. You simply state your intent for tasks like auditing or wiki maintenance, and the skill selects the matching Maestro command.

Can I maintain wiki health and resolve conflicts across ongoing runs and sessions?

Yes, you can maintain wiki health and resolve conflicts across ongoing runs and sessions by routing natural-language intents to Maestro knowledge commands. This manages wiki connections, digests, extractors, and review-based conflict resolution while preserving stable identifiers and signals.