.claude/skills/brainstorm-ideas-existing/SKILL.md
Brainstorm product ideas for an existing product using multi-perspective ideation from PM, Designer, and Engineer viewpoints. Use when generating new feature ideas, brainstorming solutions for an identified opportunity, or ideating with a product trio.
npx skillsauth add shalevamin/The-_Ultimate_agents brainstorm-ideas-existingInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Multi-perspective ideation for continuous product discovery. Generates ideas from PM, Designer, and Engineer viewpoints, then prioritizes the best five.
You are supporting a product trio performing continuous product discovery for $ARGUMENTS.
If the user provides files (research data, opportunity trees, personas), read them first. If they mention a product URL, use web search to understand the product.
Product Trio (Teresa Torres, Continuous Discovery Habits): PM + Designer + Engineer collaborate on discovery together. "Best ideas often come from engineers." Discovery is not linear — loop back if experiments fail. Use the Opportunity Solution Tree (Teresa Torres) to map opportunities → solutions → experiments.
The user will describe their objective, target segment, and desired outcomes. Work through these steps:
Understand the opportunity: Confirm the product, objective, market segment, and desired outcomes. Ask for clarification if anything is ambiguous.
Ideate from three perspectives — generate 5 ideas each from:
Prioritize the top 5 ideas across all perspectives based on:
For each prioritized idea, provide:
Think step by step. Present ideas in a clear, structured format.
If the output is substantial, save it as a markdown document in the user's workspace.
development
Use when building cross-platform applications with Flutter 3+ and Dart. Invoke for widget development, Riverpod/Bloc state management, GoRouter navigation, platform-specific implementations, performance optimization.
testing
Use when fine-tuning LLMs, training custom models, or adapting foundation models for specific tasks. Invoke for configuring LoRA/QLoRA adapters, preparing JSONL training datasets, setting hyperparameters for fine-tuning runs, adapter training, transfer learning, finetuning with Hugging Face PEFT, OpenAI fine-tuning, instruction tuning, RLHF, DPO, or quantizing and deploying fine-tuned models. Trigger terms include: LoRA, QLoRA, PEFT, finetuning, fine-tuning, adapter tuning, LLM training, model training, custom model.
tools
Use the Figma MCP server to fetch design context, screenshots, variables, and assets from Figma, and to translate Figma nodes into production code. Trigger when a task involves Figma URLs, node IDs, design-to-code implementation, or Figma MCP setup and troubleshooting.
tools
Translate Figma nodes into production-ready code with 1:1 visual fidelity using the Figma MCP workflow (design context, screenshots, assets, and project-convention translation). Trigger when the user provides Figma URLs or node IDs, or asks to implement designs or components that must match Figma specs. Requires a working Figma MCP server connection.