Coordinate three specialized agents to produce a peer-validated requirements.md document.
npx skills add https://github.com/kok1eee/o-m-cc --skill discovery-council
Please help me install this Agent Skill. Skill: discovery-council Source: https://github.com/kok1eee/o-m-cc/tree/main/skills/discovery-council Command: npx skills add https://github.com/kok1eee/o-m-cc --skill discovery-council
Discovery Council addresses ambiguous or incomplete feature requirements by coordinating three specialized agents to peer-review and converge on a definitive requirements.md.
Start a discovery council to generate a complete requirements.md for a feature.
High-intent search queries and answers about installing and using this skill.
Multi-agent requirements analysis coordinates specialized agents to peer-review complex feature requests, performing cross-domain validation and gap detection to converge on a single coherent requirements.md document.
A parallel analysis council uses researcher, analyst, and scout agents to review intricate product features, integrating their findings through an interactive feedback loop to finalize a definitive requirements draft.
Yes, this multi-agent governance approach supports headless operation and reference prompts, enabling automated plan-and-execute workflows that finalize requirements without continuous manual intervention.
You need a multi-agent requirements council when facing ambiguous or incomplete feature requests that require cross-functional analysis, gap detection across multiple domains, and peer validation to produce a cohesive draft.
Parallel analysis assigns specialized roles to researcher, analyst, and scout agents, applying an interactive feedback loop to integrate findings from all agents, converging disparate perspectives into a finalized requirements.md.
aurora-atomsDraft bounded feature specifications and feature_delivery_case JSONL records from requirements.
galangryandanaExecute written implementation plans in staged batches with review checkpoints.
prateekOrchestrate multi-agent planning, execution, and review loops with artifact tracking.
SpaceZephyrConvert vague product requirements into structured, review-ready PRDs.
