da36000050
- 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
1.6 KiB
1.6 KiB
2026-03-05
Council skill created and iterated
- Built
skills/council/— multi-perspective advisory council using subagents. - Design decisions (agreed with Will):
- Implemented as a skill (not standalone agents).
- 3 advisors (Pragmatist, Visionary, Skeptic) + 1 Referee = 4 subagents total.
- Referee is a separate subagent (not the session model) — can use a stronger model tier.
- Default flow: Parallel + Synthesis. Sequential and Debate flows also available.
- Final output includes individual advisor perspectives (collapsed/summarized) + referee verdict.
- Model tier chosen per-invocation based on topic complexity.
- Two live tests run:
- Test 1: Parallel single-round on "Do LLM agents think?" — worked well.
- Test 2: Parallel 3-round debate on same topic — richer output, positions evolved meaningfully across rounds.
- Post-test iteration: updated skill with configurable parameters:
flow(parallel/sequential/debate),rounds(1-5),tier(light/medium/heavy)- Round-specific prompt templates (opening, rebuttal, final position)
- Multi-round referee template that tracks position evolution
- Word count guidance that decreases per round to control token cost
- Subagent labeling convention:
council-r{round}-{role}
- Files:
SKILL.md,references/prompts.md,scripts/council.sh(reference doc). - TODOs in
memory/tasks.json:- Revisit advisor personality depth (richer backstories).
- Revisit skill name ("council" is placeholder).
- Experiment with different round counts and flows for optimal depth/cost tradeoffs.