Coordinate Visionary and Critic agents to produce a structured brainstorm synthesis.
npx skills add https://github.com/s0lci700/OVERLAYS --skill dual-brainstorm
Please help me install this Agent Skill. Skill: dual-brainstorm Source: https://github.com/s0lci700/OVERLAYS/tree/main/.gemini/skills/dual-brainstorm Command: npx skills add https://github.com/s0lci700/OVERLAYS --skill dual-brainstorm
Runs a structured Visionary ↔ Critic multi-round brainstorm between two agents to produce a concise, actionable synthesis, maximizing ideation while controlling token usage.
Provide a topic or focus area and the system will run a structured two-agent brainstorm to deliver a concrete plan.
High-intent search queries and answers about installing and using this skill.
A structured two-agent brainstorm coordinates a Visionary agent generating bold ideas with a Critic agent evaluating architectural quality. This multi-round workflow produces a concise, actionable synthesis, maximizing ideation while controlling token usage during product discovery.
Using a two-agent orchestration with compact prompts manages token efficiency during idea synthesis. The Visionary generates concepts and the Critic gates quality, allowing the system to deliver a concrete final spec without excessive token consumption.
Yes, this structured brainstorming approach is ideal for design exploration. It applies a Visionary for bold ideas and a Critic for architectural quality gating, enabling rapid critique and guided synthesis that accelerates decision-making for design tasks.
A Visionary and Critic workflow improves feature ideation by balancing bold idea generation with critical evaluation. This multi-round dialogue injects prior art and manages context to produce a refined, actionable plan ready for follow-through.
Yes, this two-agent brainstorm requires model selection per agent. You must assign a model to the Visionary generating ideas and a model to the Critic evaluating them, ensuring the system can orchestrate the final spec effectively.
The two-agent brainstorm relies on compact prompts and context management to control token usage. While effective for product discovery, the depth of ideation is bounded by the selected models and the multi-round orchestration limits set by the system.
joshuacookStart a lean session by asking for a focus area and loading the relevant role context.
tarrragonConvert ambiguous tickets into testable feature specifications with /spec init and /spec validate.
ExpeditoJInject contextual rules into AI prompts across eight processing layers.
ilanf23Facilitate structured design critique sessions with feedback frameworks.
