paldom/llm-council-skills
Decide
Whether a council is worth it at all - evidence-based triage before you pay the multi-model multiplier.
Design
The pipeline, the members, and the prompts - fan-out, anonymized peer review, and synthesis that preserves disagreement.
Operate
Keep it correct and affordable in production - robust aggregation, cost gating, and failure-mode defenses.
Implement
Run real coding harnesses as council members from plain Python.
Govern
The human oversight layer - councils of people, not models.