Coordinate multi-expert alignment dialogues to deliberate RFC decisions.
npx skills add https://github.com/superviber/blue --skill alignment-play
Please help me install this Agent Skill. Skill: alignment-play Source: https://github.com/superviber/blue/tree/main/skills/alignment-play Command: npx skills add https://github.com/superviber/blue --skill alignment-play
Coordinates and runs multi-expert alignment dialogues to deliberate RFC decisions, reducing misalignment and decision drift across teams.
Provide a topic to start an alignment dialogue and let the Judge orchestrate the expert panel.
High-intent search queries and answers about installing and using this skill.
Multi-expert RFC alignment is coordinated by running a judge-driven dialogue workflow that orchestrates Core, Adjacent, and Wildcard expert panel perspectives to deliberate architecture decisions. This reduces decision drift by evolving the panel dynamically across discussion rounds.
A judge-driven panel evolution workflow is an RFC deliberation process where a Judge orchestrates an expert pool, applying retention, pool expansion, and dynamic expert creation after each dialogue round to ensure cross-team alignment and convergence tracking.
To start an alignment dialogue, provide a specific RFC topic or architecture review subject. The Judge will then initialize the multi-expert panel and begin orchestrating the deliberation rounds to track convergence and generate reproducible artifacts.
Yes, multi-expert dialogue supports cross-team alignment sessions across engineering projects by utilizing an N+1 expert panel with standardized artifact structures and tooling guidance to ensure reproducible discussions and reduce misalignment.
The best way to track convergence during RFC design is using a standardized file structure for artifact writing alongside a judge-driven panel evolution process that applies retention and dynamic expert creation after each round prompt.
You should avoid multi-expert panels for simple architecture reviews that lack cross-team dependencies or design complexity, as the overhead of orchestrating dynamic expert creation and multiple dialogue rounds is intended for reducing significant decision drift.
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