planning-agents

Parallel brainstorming with multiple agents involves orchestrating simultaneous ideation across Claude and other models to generate diverse perspectives. This Skill automates agent assignment, executes planning tasks in parallel, and merges results into a unified proposal, reducing manual coordination time.

Yes. This Skill coordinates 2 to 5 agents across feature planning workflows, assigning each agent to independently develop proposals from different angles. It displays per-agent outputs and produces a final merged plan, enabling comparative analysis before committing to a single direction.

When API access is unavailable, the Skill falls back to text-based merging instead of AI-powered synthesis. Per-agent outputs are still generated and displayed; the final integrated artifact uses structured text combination rather than semantic merging.

Multi-agent planning setup requires Python for orchestration and YAML for standardized prompt configuration. The Skill uses these dependencies to define agent behaviors, manage parallel execution timeouts, and persist merged results to Markdown files.

Parallel planning executes all agents simultaneously to maximize diversity and speed; sequential execution runs agents one after another. This Skill supports both orchestration modes, with parallel execution as the default for faster brainstorming and ideation workflows.

Yes. The Skill applies to any planning domain—brainstorming, feature planning, project planning, and marketing campaigns—through configurable prompts and agent assignment. Domain flexibility comes from standardized YAML prompt templates that adapt to your planning context.