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/council

4-perspective decision evaluation for architecture choices. Triggers: council, evaluate decision, pros cons, multi-angle, alternatives.

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ai-toolkit
161111 skills44 agents
Install
$ npx -y skills add softspark/ai-toolkit --skill council --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/council

Context preview

The summary Claude sees to decide when to auto-load this skill.

4-perspective decision evaluation for architecture choices. Triggers: council, evaluate decision, pros cons, multi-angle, alternatives.

SKILL.md

council.SKILL.md
name: council
description: "4-perspective decision evaluation for architecture choices. Triggers: council, evaluate decision, pros cons, multi-angle, alternatives."
user-invocable: true
effort: high
argument-hint: "[decision question or proposal to evaluate]"
agent: orchestrator
context: fork
allowed-tools: Read, Grep, Glob, Bash, Agent

Decision Council

$ARGUMENTS

Evaluate a decision from 4 distinct perspectives using parallel sub-agents, then synthesize a weighted recommendation.

Usage

/council [decision question or proposal to evaluate]

What This Command Does

1. **Parses** the decision question from user input 2. **Gathers** codebase context relevant to the decision 3. **Spawns** 4 parallel sub-agents — each analyzing from a different perspective 4. **Synthesizes** all perspectives into a structured recommendation with decision matrix

MANDATORY: You MUST use the Agent tool

**DO NOT analyze the decision yourself.** Your job is to parse the question, spawn 4 sub-agents in parallel via the `Agent` tool, and synthesize their outputs. If you attempt to provide all perspectives inline, you have failed.

Process

1. Parse the Decision

Extract from the user's input:

  • **The proposal** — what is being considered
  • **The alternatives** — what the options are (if not stated, infer the implicit alternative: status quo)
  • **The context** — what project/codebase/situation this applies to

If the question is too vague to evaluate, ask ONE clarifying question before proceeding.

2. Gather Context

Before spawning agents, quickly scan the codebase for relevant context:

  • Current tech stack, dependencies, patterns in use
  • Existing code related to the decision area
  • Configuration, infrastructure, or architectural choices already made

Include this context in each sub-agent prompt so perspectives are grounded in reality.

3. Spawn 4 Sub-Agents in Parallel (REQUIRED)

Call the `Agent` tool **4 times in a single response** — all agents MUST launch in the same message to run in parallel.

| Agent | Role | Directive | |-------|------|-----------| | **Advocate** | Case FOR | Present the strongest case FOR the proposal. Find evidence, benefits, success stories. Reference relevant code/patterns in the codebase. Be persuasive but honest. | | **Critic** | Case AGAINST | Present the strongest case AGAINST. Find risks, hidden costs, failure modes, alternatives that might be better. Be thorough but fair. | | **Pragmatist** | Trade-offs | Evaluate practical trade-offs: implementation cost, timeline, team capacity, maintenance burden, migration risk, operational complexity. Ground estimates in the actual codebase size and patterns. | | **User-Proxy** | User impact | Consider end-user and customer impact: UX changes, downtime during migration, performance implications, breaking changes, adoption friction, documentation needs. |

Each agent prompt MUST include:

1. The original decision question 2. The codebase context gathered in step 2 3. The specific perspective this agent owns 4. Instruction to search the codebase for supporting evidence 5. Constraint: 200-400 words, concrete evidence over abstract arguments

4. Synthesize

After all 4 agents complete, combine their outputs into the structured format below. Do NOT simply concatenate — identify agreements, contradictions, and conditional factors across perspectives.

Output Format

## Decision Council: [Question]

### Advocate (FOR)
[Summary of arguments for — key benefits and evidence]

### Critic (AGAINST)
[Summary of arguments against — key risks and alternatives]

### Pragmatist (TRADE-OFFS)
[Practical considerations — cost, timeline, complexity]

### User-Proxy (USER IMPACT)
[End-user perspective — UX, performance, breaking changes]

### Synthesis
**Recommendation:** [FOR / AGAINST / CONDITIONAL]
**Confidence:** [HIGH / MEDIUM / LOW]
**Key condition:** [Primary factor that would change the recommendation]

**Where perspectives agree:** [Common ground across agents]
**Where perspectives conflict:** [Key disagreements and why]

### Decision Matrix
| Factor | Weight | FOR score (1-5) | AGAINST score (1-5) |
|--------|--------|-----------------|---------------------|
| Technical merit | [H/M/L] | [score] | [score] |
| Risk | [H/M/L] | [score] | [score] |
| Cost | [H/M/L] | [score] | [score] |
| Timeline | [H/M/L] | [score] | [score] |
| User impact | [H/M/L] | [score] | [score] |
| **Weighted total** | | **[total]** | **[total]** |

Rules

  • Each sub-agent must search the codebase for relevant evidence — no purely abstract arguments
  • Sub-agents must be honest within their role — the Advocate should acknowledge weaknesses, the Critic should acknowledge strengths
  • Keep each perspective to 200-400 words — density over length
  • The synthesis must add value beyond summarizing — identify the decisive factor
  • If the decision is clearly one-sided after analysis, say so — don't manufacture false balance

Anti-Patterns

  • Don't skip the codebase scan — ungrounded opinions are worthless
  • Don't let all 4 perspectives say the same thing — enforce distinct angles
  • Don't give a wishy-washy "it depends" synthesis — commit to a recommendation with conditions
  • Don't ignore the status quo — "do nothing" is always an alternative

READ-ONLY

This skill evaluates decisions. It does NOT implement changes.

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