4-perspective decision evaluation for architecture choices. Triggers: council, evaluate decision, pros cons, multi-angle, alternatives.
Scanned 5/27/2026
Install via CLI
openskills install softspark/ai-toolkit---
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
```markdown
## 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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