consilium

Assemble Datarim agents to debate and converge on architecture decisions.

11|1|Updated Apr 10, 2026
One-click install
npx skills add https://github.com/Arcanada-one/datarim --skill consilium-arcanada-one
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: consilium
Source: https://github.com/Arcanada-one/datarim/tree/main/skills/consilium
Command: npx skills add https://github.com/Arcanada-one/datarim --skill consilium-arcanada-one

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Consilium prevents inconsistent, single-perspective decision-making by assembling multiple Datarim agents to surface conflicts, blind spots, and tradeoffs before you commit—especially for architecture and other high-impact choices.

Core Features & Use Cases

  • Multi-agent panel debate: Simulates distinct specialized viewpoints (e.g., architect, security analyst, SRE, strategist) to evaluate the same decision independently.
  • Structured convergence: Resolves disagreements using a Priority Ladder from Safety and Correctness through Security, Reliability, and onward to Simplicity and Cost.
  • Contextual scoping for impact: Guides you to use the panel only when blast radius is meaningful (typically cross-system or business-critical).
  • Use case examples: Architecture decisions at L3-4 complexity, production readiness assessments, new feature evaluations, and performance-related tradeoffs.

Quick Start

Invoke consilium for an L3-4 architecture decision by asking it to assemble a panel and produce a converged recommendation with dissenting opinions and failure-mode analysis.

Frequently Asked Questions about consilium

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

FAQPage Schema
How do I evaluate architecture tradeoffs from multiple perspectives before committing to a decision?

Architecture tradeoff evaluation benefits from assembling a multi-agent panel to analyze security, reliability, and cost impacts independently before converging on a recommendation. This surfaces blind spots and resolves conflicts using a priority ladder.

When should I use a multi-agent council for production readiness assessments?

Use a multi-agent council for production readiness when the blast radius of a decision is meaningful, typically at L3-4 complexity or cross-system scope. It simulates specialized viewpoints like SRE and security analyst to debate risks.

What is the best way to resolve conflicting opinions during high-stakes security-aware architecture planning?

Resolving conflicts in security-aware architecture planning requires structured convergence via a priority ladder, ranking safety and correctness above security, reliability, simplicity, and cost to guide the multi-agent debate to a final recommendation.

Can I use multi-agent decision analysis for new feature evaluations and risk assessment?

Multi-agent decision analysis supports new feature evaluations and risk assessment by guiding independent agent analyses through two-round debates. It produces deliverables covering rationale, dissenting opinions, and potential failure modes.

Does multi-agent decision analysis work for lower complexity tasks outside of L3-4 architecture decisions?

Multi-agent decision analysis targets L3-4 complexity decisions with significant blast radius. It guides you to use the panel only when the impact is cross-system or business-critical, preventing unnecessary overhead for simpler tasks.