Retrieve decision rationale from Lore, SPEC, and ARCHITECTURE documentation.
npx skills add https://github.com/shin0720/autopus --skill auto-why-shin0720
Please help me install this Agent Skill. Skill: auto-why Source: https://github.com/shin0720/autopus/tree/main/.autopus/plugins/auto/skills/auto-why Command: npx skills add https://github.com/shin0720/autopus --skill auto-why-shin0720
This skill eliminates the time-consuming process of manually searching through scattered project documentation (Lore, SPEC, and ARCHITECTURE records) to find the reasoning behind past project decisions, which often slows down development and leads to inconsistent or redundant choices.
Use the auto-why skill to retrieve the original rationale for the decision to adopt the Autopus plugin system for the project.
High-intent search queries and answers about installing and using this skill.
Decision rationale lookup retrieves the original justification for past choices from project Lore, SPEC, and ARCHITECTURE documentation. This prevents teams from re-litigating old decisions by providing fast, traceable access to historical context.
Teams re-litigate decisions when historical context is lost across scattered Lore, SPEC, and ARCHITECTURE records. Tracing decision rationale provides the clear constraints and reasoning needed to maintain implementation consistency and avoid redundant work.
The best way to trace decision rationale is to query centralized Lore, SPEC, and ARCHITECTURE documentation rather than searching files manually. This provides traceable access to the constraints and reasoning behind choices like adopting a specific plugin architecture.
Yes, decision tracing works directly with existing project lore and specs by retrieving historical justifications from Lore, SPEC, and ARCHITECTURE records. It requires no manual restructuring of your current documentation to locate past context.
You need to lookup past decision context in software development workflows when referencing historical choices to avoid redundant work and maintain implementation consistency. This is essential when onboarding new team members or questioning existing architectural constraints.
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