crux-skill-memory-meditation-coordination

Standardize naming and discovery rules for meditation workflow artefacts.

8|1|Updated Jan 26, 2026
One-click install
npx skills add https://github.com/zotoio/CRUX-Compress --skill crux-skill-memory-meditation-coordination
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: crux-skill-memory-meditation-coordination
Source: https://github.com/zotoio/CRUX-Compress/tree/main/.cursor/skills/crux-skill-memory-meditation-coordination
Command: npx skills add https://github.com/zotoio/CRUX-Compress --skill crux-skill-memory-meditation-coordination

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill solves coordination problems in multi-stage AI meditation workflows by standardizing artefact naming, file discovery, polling, and reporting structures so agents can reliably share outputs.

Core Features & Use Cases

  • Artefact Coordination: Defines filename grammar, placeholders, and prefix-based discovery rules for meditation files and reports.
  • Workflow Consistency: Provides templates for retrospectives, Branch & Leaf Indexes, model strategies, and ensemble directory structures.
  • Use Case: Help an AI agent manage a research meditation workspace by locating generated branch outputs, linking artefacts, and maintaining consistent report references.

Quick Start

Use the CRUX meditation coordination skill to determine the correct filename pattern and polling approach for a working-directory artefact.

Frequently Asked Questions about crux-skill-memory-meditation-coordination

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

FAQPage Schema
How do I coordinate multi-agent workflow artefacts using consistent file naming?

Multi-agent workflow artefact coordination standardizes filename grammar and prefix-based discovery rules so agents reliably share branch outputs, reports, and linked indexes. It applies consistent placeholder handling and structured templates to ensure reliable file discovery.

What is prefix-glob polling for file-based workflow artefacts?

Prefix-glob polling is a discovery mechanism for file-based workflow artefacts that locates generated outputs using standardized filename prefixes. It allows multi-agent systems to consistently find and link meditation reports and branch outputs across working directories.

How do I structure ensemble directory templates for meditation workflows?

Ensemble directory templates for meditation workflows are structured using predefined conventions for retrospectives, Branch and Leaf Indexes, and model strategies. This structure ensures agents maintain consistent report references and reliably locate linked artefacts.

Can I use file naming conventions for research and review meditation workflows?

File naming conventions apply to research, quick, ensemble, and review meditation workflows. They standardize artefact discovery and reporting structures so AI agents can manage branch outputs and maintain linked artefact indexes across all meditation workflow types.

Why do my multi-agent meditation files fail to link branch outputs and reports?

Meditation files fail to link when they lack consistent placeholder handling and standardized filename grammar. Without prefix-glob polling and structured templates for artefact indexes, agents cannot reliably discover or share branch outputs and retrospective reports.

What's the best way to manage a research meditation workspace with multiple agents?

Managing a research meditation workspace requires standardized artefact naming, prefix-based file discovery, and structured templates for reports and indexes. This approach ensures multiple agents can reliably locate generated branch outputs and maintain consistent linked artefact references.