Files
swarm-zap/skills/council/SKILL.md
zap da36000050 feat(council): add configurable rounds, flow parameters, and round-specific prompts
- Parameters: flow (parallel/sequential/debate), rounds (1-5), tier (light/medium/heavy)
- Round-specific prompt templates: opening, rebuttal, final position
- Multi-round referee template tracks position evolution across rounds
- Word count guidance decreases per round to control token cost
- Subagent labeling convention: council-r{round}-{role}
- Updated from live testing with 1-round and 3-round parallel debates
2026-03-05 16:21:22 +00:00

5.3 KiB

name, description
name description
council Convene a council of AI advisor agents with distinct perspectives to deliberate on a topic, then synthesize their views into a verdict. Use when: (1) user asks for multi-perspective analysis, (2) wants to brainstorm with diverse viewpoints, (3) requests a council or advisors opinion, (4) needs a balanced decision on a complex question. Supports parallel (default), sequential, and debate flows with configurable round count. NOT for: simple factual lookups, single-perspective tasks, or quick one-liner answers.

Council Skill

Spawn a council of 3 advisor subagents + 1 referee subagent to deliberate on a topic. Each advisor has a distinct personality/lens. The referee synthesizes their output into a final verdict with collapsed advisor perspectives.

Parameters

Parameter Default Description
flow parallel parallel, sequential, or debate
rounds 1 Number of deliberation rounds (1-5). Round 1 = opening positions. Round 2+ = rebuttals where advisors see and respond to each other.
tier light Model tier: light, medium, or heavy (see Model Selection)

Quick reference:

  • flow=parallel, rounds=1 — fast single-shot, all advisors in parallel, then referee (default)
  • flow=parallel, rounds=3 — parallel opening + 2 rebuttal rounds + referee (recommended for depth)
  • flow=sequential, rounds=1 — each advisor sees prior outputs, then referee
  • flow=debate, rounds=3 — parallel opening + cross-advisor rebuttals + referee synthesis

Advisor Roster (default)

Role Lens System stance
Pragmatist Feasibility, cost, effort "Can we actually do this?"
Visionary Long-term potential, innovation "What if we went bigger?"
Skeptic Risk, failure modes, edge cases "What could go wrong?"

The referee is a separate agent: balanced, fair, synthesis-oriented.

Flows

1. Parallel + Synthesis (default)

Single-round version (rounds=1):

  1. Spawn all 3 advisors simultaneously via sessions_spawn (mode=run).
  2. Each advisor receives the same topic prompt with their personality instructions.
  3. Wait for all 3 to complete (push-based).
  4. Spawn the referee with all 3 advisor outputs.
  5. Referee produces the final verdict.

Multi-round version (rounds=N):

  1. Round 1: Spawn all 3 advisors in parallel with opening position prompt.
  2. Collect all outputs.
  3. Round 2..N: For each rebuttal round, respawn all 3 advisors in parallel. Each receives:
    • Their own prior position(s)
    • All other advisors' prior round output
    • Round-specific instructions (rebuttal prompt for middle rounds, final position prompt for last round)
  4. Collect outputs after each round.
  5. Referee: Spawn referee with the full debate transcript (all rounds, all advisors).

2. Sequential Rounds

Single-round (rounds=1):

  1. Spawn advisors one at a time, each seeing prior advisor outputs.
  2. Spawn referee with full thread.

Multi-round (rounds=N):

  1. Round 1: Advisors go sequentially, each seeing prior advisors in that round.
  2. Round 2..N: Each advisor sees ALL prior round outputs before giving their rebuttal/final take.
  3. Referee: Gets the full thread.

3. Debate

Always multi-round (minimum rounds=2, default rounds=3 for this flow):

  1. Round 1: Parallel opening takes.
  2. Round 2..N-1: Cross-rebuttals — each advisor responds to all others.
  3. Round N: Final positions.
  4. Referee: Gets full debate transcript, notes evolution of positions.

Model Selection

Pick model tier based on topic complexity:

  • light (casual brainstorm, simple pros/cons): default model for advisors and referee.
  • medium (architecture decisions, strategy): default model for advisors, stronger model for referee.
  • heavy (critical decisions, deep analysis): stronger model for all agents.

The caller (main agent) determines tier before spawning.

Round-Specific Prompt Guidance

See references/prompts.md for all prompt templates. Key points:

  • Round 1 (Opening): Full advisor system prompt + topic. Ask for opening position.
  • Middle rounds (Rebuttals): Include prior positions from ALL advisors. Ask: where do you agree, push back, or change your mind? Keep shorter (200-300 words).
  • Final round: Ask for final synthesis — what changed, what held firm, final recommendation in 2-3 sentences. Keep shortest (150-250 words).
  • Referee (multi-round): Include the FULL debate transcript organized by round. Ask referee to note position evolution, not just final states.

Implementation

Read scripts/council.sh for the orchestration logic. For programmatic invocation, the main agent calls sessions_spawn directly following the patterns above.

Configuration

Advisor personalities can be customized per-invocation by overriding the roster. Default roster and prompt templates live in references/prompts.md.

TODO (revisit later)

  • Revisit subagent personality depth — richer backstories, communication styles
  • Revisit skill name — "council" works for now
  • Experiment with different round counts and flows to find optimal depth/cost tradeoffs