Query AI decision trails and manage Architecture Decision Records from structured logs.
npx skills add https://github.com/arch-team/devpace --skill pace-trace
Please help me install this Agent Skill. Skill: /pace-trace — 决策轨迹查询 Source: https://github.com/arch-team/devpace/tree/main/skills/pace-trace Command: npx skills add https://github.com/arch-team/devpace --skill pace-trace
This Skill provides a transparent audit trail for AI decisions, allowing users to understand the reasoning behind Claude's judgments and manage architectural decisions.
/pace-trace to see exactly why it chose a particular approach, what data it considered, and which rules it followed.Ask for the decision trail of the latest change request by typing /pace-trace.
High-intent search queries and answers about installing and using this skill.
To audit AI decision making for a specific change request, you can query the AI's reasoning process and visualize the CR lifecycle using structured logs stored within the .devpace directory.
An architecture decision record (ADR) documents significant architectural choices. You need an ADR when you want to create, view, and manage a transparent trail for architectural decisions made during development.
You can trace AI transparency logs to understand why an approach was chosen by querying the decision trail, which reveals exactly what data the AI considered and which rules it followed.
Yes, you can visualize the complete lifecycle of a change request through its various decision points by querying the event tables and structured logs within the .devpace directory.
No external dependencies are needed to query the audit trail for architecture decisions. The retrieval process relies entirely on structured logs and event tables within the local .devpace directory.
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