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

memory/2026-03-05.md

@@ -1,6 +1,6 @@
 # 2026-03-05
 
-## Council skill created
+## 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).
@@ -9,8 +9,17 @@
   - 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).
-- Validated with skill-creator quick_validate.
-- Two TODOs added to `memory/tasks.json`:
+- 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.