From parallel-minds
Use when you want to generate and explore a wide range of ideas for a creative or design challenge -- dispatches 10-20 parallel agents with dynamic, domain-adapted angles to produce diverse proposals, then presents them with structured evaluation for the user to choose from
How this skill is triggered — by the user, by Claude, or both
Slash command
/parallel-minds:creative-consensusThe summary Claude sees in its skill listing — used to decide when to auto-load this skill
Dispatch a swarm of parallel agents at a creative or design problem, each attacking it from a different angle, then surface the proposals as a structured comparison the user can pick from. This is for problems where taste matters and the design space is large: sound design, UI directions, architecture options, feature framing.
Dispatch a swarm of parallel agents at a creative or design problem, each attacking it from a different angle, then surface the proposals as a structured comparison the user can pick from. This is for problems where taste matters and the design space is large: sound design, UI directions, architecture options, feature framing.
Explore, don't decide. The skill's job is to widen the option space, not to converge on an answer. Ten agents is the floor — below that, proposals collapse into the same handful of obvious takes and you lose the diversity that makes the whole exercise worth running.
Synthesis is the caller's job, not the agents'. Agents propose; you cluster, stress-test, and present. The user picks. Output ships in three distinct tiers — conservative, moderate, ambitious — never blended into a single averaged recommendation.
See recipes.md for the recipe matrix and multi-round flow. See angle-libraries.md for the per-domain angle catalog.
Before dispatching, take a couple of seconds to classify:
standardTell the user: "This reads as a [recipe] problem ([domain] domain). [N] agents. Want me to go bigger/smaller?" If they already specified a recipe or agent count, use that.
Use this skill when you want to explore widely before committing, when taste matters, or when the user says "make it interesting/creative" or "brainstorm this."
Pull angles from the matching domain library in angle-libraries.md. If the domain is unclear, use the General fallback. Adapt angles to the problem — the same set for every domain is a smell.
Always include these three mandatory roles regardless of domain:
Watch for: skipping the saboteur. Unattacked ideas are the most dangerous ones in the pile.
Write one comprehensive context block with all constraints, references, and requirements. It goes to every agent unchanged — agents diverge through their angle, not through different framings of the problem.
Use the selected recipe's topology. All agents run with run_in_background: true.
model: sonnet. Use haiku for large divergent swarms (e.g. R1 of thorough). Reserve opus for synthesis only.research recipe explorers may read files but not write.Request structured output from each agent:
For each idea you propose, include:
- Name (short)
- Pitch (1 sentence, max 100 chars)
- Mechanism (the core design primitive, 1-2 sentences)
- Effort: S / M / L / XL
- Risk: low / medium / high
- Reversibility: easy / hard / permanent
- Failure mode (how this could go wrong)
Extract & cluster. Read all agent outputs. Pull the core mechanism out of each proposal — strip articulation quality so a terse good idea ranks equal to a verbose good idea. Group by approach type and pick the strongest variant from each cluster.
Watch for: letting articulation quality drive selection, or copying one proposal wholesale. Synthesize across clusters.
Present to user. Build a comparison table with the structured fields (name, pitch, effort, risk, reversibility, failure mode). Organize into three tiers:
Include a known-failure-modes section drawn from the saboteur and every agent's failure_mode field.
Watch for: blending into mush. Keep the tiers distinct. Let the user override your picks, combine ideas across tiers, or send you back for a deeper pass on a direction.
Creates, edits, and optimizes skills for Claude Code, including drafting, evaluating with test prompts, iterating on performance, and improving skill descriptions for better triggering accuracy.
npx claudepluginhub ogabrielluiz/parallel-minds --plugin parallel-minds