How do I see the history of a specific decision?

You can use the command '/pm-graph [decision-name]' to trigger a lineage trace, which shows all decisions that informed it and all decisions it subsequently influenced.

What is an 'architectural load-bearer' in this context?

These are 'central nodes'—decisions that are referenced by many other documents, indicating they are fundamental principles or dependencies for the project.

How does the PM-Graph skill find connections?

It performs automated link-extraction by scanning Markdown files for internal wiki-link patterns like [[decision-name]] and mapping the relationships between them.

Does this skill require a GUI or external visual tool?

No, it generates structured text-based representations and ranked lists directly in the terminal, making it compatible with any CLI environment.

PM Decision Graph

Name: PM Decision Graph
Author: LopeWale

byLopeWale

0•

협업 도구

Visualizes the interconnected web of project decisions to reveal institutional memory and architectural patterns.

PM Decision Graph is a specialized Claude Code skill that transforms static decision logs into a dynamic, text-based knowledge graph. By parsing wiki-links within Markdown documentation, it helps teams visualize the 'shape' of their project's institutional memory. The skill identifies high-impact 'load-bearer' nodes that carry significant architectural weight, detects isolated 'orphan' decisions that lack context, and traces the bidirectional lineage of specific choices. This visibility is essential for understanding the cascade effects of changing core decisions and ensuring that project documentation remains a cohesive web of reasoning rather than a fragmented list of notes.

주요 기능

01Automatic cluster detection to reveal thematic reasoning zones within the project

020 GitHub stars

03Orphan node identification to highlight disconnected or poorly documented decisions

04Bidirectional decision lineage tracing to see upstream and downstream impacts

05Centrality analysis to identify the most-connected architectural load-bearers

06Text-based graph density reporting and structural observations

사용 사례

01Impact analysis before modifying a project-wide standard to see which features depend on it

02Documentation auditing to find 'orphaned' decisions that need better cross-referencing

03Onboarding new engineers by tracing the history and dependencies of core architectural decisions

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add lopewale/ampllabs pm-graph

For use in Claude.ai and ChatGPT