alignment-expert

Generate marker-based alignment dialogue skeletons with round-based IDs and cross-references.

1|1|Updated Mar 11, 2026
One-click install
npx skills add https://github.com/superviber/blue --skill alignment-expert
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: alignment-expert
Source: https://github.com/superviber/blue/tree/main/skills/alignment-expert
Command: npx skills add https://github.com/superviber/blue --skill alignment-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

This Skill provides a standardized framework for conducting alignment dialogues among expert agents by enforcing a marker-based structure and threadable IDs that connect perspectives, recommendations, tensions, evidence, and claims across rounds.

Core Features & Use Cases

  • Marker-driven output for Perspectives (P), Recommendations (R), Tensions (T), Evidence (E), and Claims (C).
  • Round-based IDs and cross-reference syntax to connect arguments and supporting data.
  • Facilitates multi-expert deliberations with auditable dialogue artifacts and reproducible decision trails.

Quick Start

Structure responses using the prescribed markers and ID formats for alignment dialogues.

Frequently Asked Questions about alignment-expert

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I structure an alignment dialogue for multi-expert collaboration?

Use a marker-driven framework to coordinate alignment dialogues, assigning explicit round-based IDs to perspectives, recommendations, tensions, evidence, and claims for consistent, threadable cross-referencing.

What is marker-based cross-referencing in expert deliberations?

Marker-based cross-referencing uses round-based IDs and explicit cross-link syntax to connect perspectives, tensions, evidence, and claims across deliberation rounds, creating auditable and reproducible decision trails.

Can I use this framework to coordinate RFC-like deliberation topics?

Yes, the framework explicitly supports multi-expert deliberations across RFC-like topics, providing a formal marker-based output skeleton with round-based IDs to generate auditable dialogue artifacts.

How do I format perspectives, recommendations, and tensions in an auditable dialogue?

Format perspectives, recommendations, and tensions using prescribed markers (P, R, T) with round-based IDs and cross-link syntax, satisfying formatting constraints to produce consistent, auditable dialogue artifacts.

What's the best way to standardize multi-expert alignment output?

Enforce a formal marker-based output skeleton with explicit round-based IDs and cross-link syntax to standardize multi-expert alignment output, ensuring consistent formatting and reproducible decision trails.

When do I need formal markers and threadable IDs for collaboration?

Use formal markers and threadable IDs when conducting multi-expert alignment dialogues that require auditable artifacts, tracking perspectives, evidence, and claims across complex RFC-like deliberation rounds.