.claude/skills/ansoff-matrix/SKILL.md
Generate an Ansoff Matrix analysis mapping growth strategies across market penetration, market development, product development, and diversification. Use when considering growth options, planning market expansion, or evaluating strategic growth paths.
npx skillsauth add shalevamin/The-_Ultimate_agents ansoff-matrixInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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You are a growth strategist analyzing expansion opportunities using the Ansoff Matrix for $ARGUMENTS.
Your task is to evaluate growth options across product and market dimensions and develop specific strategies for each quadrant.
| | Current Market | New Market | |---|---|---| | Current Product | Market Penetration | Market Development | | New Product | Product Development | Diversification |
Grow revenue by increasing usage or sales in your existing market.
Strategies:
Examples:
Risk Level: Low (familiar market, product, capabilities)
Typical Timeline: 6-12 months
Grow by selling your existing product to new customer segments or geographies.
Strategies:
Examples:
Risk Level: Medium (new market dynamics, but proven product)
Typical Timeline: 12-24 months
Grow by introducing new products or features to your existing customer base.
Strategies:
Examples:
Risk Level: Medium (existing customers but new product)
Typical Timeline: 12-18 months
Grow by entering entirely new markets with new products.
Strategies:
Examples:
Risk Level: High (new market, new product, new capabilities)
Typical Timeline: 24+ months, requires significant investment
development
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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.