.claude/skills/beachhead-segment/SKILL.md
Identify the first beachhead market segment for a product launch. Evaluates segments against burning pain, willingness to pay, winnable market share, and referral potential. Use when choosing a first market, targeting an initial customer segment, or planning market entry strategy.
npx skillsauth add shalevamin/The-_Ultimate_agents beachhead-segmentInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Identify the first beachhead market segment for product launch. This skill evaluates potential market segments against key criteria to find your initial winning segment that enables fast PMF validation and adjacent expansion.
Does this segment experience an acute, unmet problem?
Does this segment have budget and motivation to pay for a solution?
Can you realistically capture 60-70% of this segment in 3-18 months?
Will customers naturally refer or recommend to others?
Brainstorm all possible target segments:
Validate burning pain in each segment:
Determine budget and economic viability:
Assess realistic market share potential:
Map expansion opportunities:
Choose your primary launch segment:
Use $ARGUMENTS to pass:
A beachhead segment analysis including:
Based on Geoffrey Moore's beachhead market strategy in "Crossing the Chasm." Focuses on finding the smallest winnable, referenceable market that validates PMF and enables expansion.
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.