canvas-health
CommunityMaintain canvas health and integrity for effective AI decision-making.
Product & Management#risk assessment#knowledge base maintenance#AI decision-making#Mycelium framework#canvas health
Authorhaabe
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill addresses the issue of maintaining the quality, consistency, and completeness of canvas files within the Mycelium framework, ensuring that the knowledge base is accurate and up-to-date for reliable AI decision-making.
Core Features & Use Cases
- Quality Assurance: Lint canvas files for missing fields, inconsistent evidence types, and orphaned references.
- Risk Management: Identifies assumptions and evidence that may need re-evaluation, reducing the risk of building on stale information.
- Use Case: Before any major transition or when the agent's output quality degrades, this Skill can be run to check the health of the canvas files and ensure they meet the necessary standards.
Quick Start
Run the canvas-health skill to audit the canvas knowledge base for quality, consistency, and completeness. Example: /mycelium:canvas-health
Dependency Matrix
Required Modules
python
Components
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: canvas-health Download link: https://github.com/haabe/mycelium/archive/main.zip#canvas-health Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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