Design & Validate Startup Strategy1 skill
Complete startup strategy workflow with market research, customer discovery, financial projections, and validation experiments.
Strategy Blueprint
Safety checkedFour independent skills covering startup strategy, competitive analysis, positioning, and investor pitches. Works standalone or together.
Run this command to deploy the blueprint to your environment.
Gives your AI agent the ability to run startup validation from raw idea to investor-ready pitch. Each skill handles a distinct phase: design validates the core idea with research and customer discovery, competitors maps the competitive landscape with real data, positioning builds a defensible market position using established frameworks, and pitch constructs investor narratives in multiple formats. Because the skills share reference materials and can read each other's output, you can run them in any order or all together to build a complete startup assessment.
Complete startup strategy workflow with market research, customer discovery, financial projections, and validation experiments.
Deep competitive intelligence with battle cards, pricing analysis, and strategic vulnerability mapping.
Market positioning using April Dunford's framework, stress-tested with Neumeier's Onliness Test and Moore statements.
Pitch narratives in multiple formats (10-min, 5-min, 2-min, 1-min, email) with Q&A prep and investor roleplay.
A raw startup idea becomes a validated strategy with research evidence, positioning rationale, and investor-ready pitch. All grounded in real market data, not guessing.
Requires Agent tool availability (Claude Code) for parallel research waves, or executes sequentially in Claude.ai. Web search needed for real data; knowledge-based fallback reduces confidence ratings and requires independent verification. Token budgets scale with research depth tier (Light/Standard/Deep). Session state preserved in PROGRESS.md for resuming interrupted workflows.
High token consumption because the skill runs multiple research agents per workflow and produces large documents. Claude Max 5x recommended. Web search must be enabled for real-time data (falls back to knowledge-based mode if unavailable). Customer interviews in startup-design require actual calendar time (1-2 weeks). Some reference materials are lengthy; expect 10+ files per complete session.
Multi-format research
Web search agents (or sequential research in Claude.ai) that validate claims across 2-4 research waves per skill
Complete workflows
Each skill produces 4-6 markdown deliverables: research synthesis, strategy docs, battle cards, positioning statements, or pitch scripts
Interoperable design
Skills can read each other's output and build on prior work; run one or all four for increasing depth
Structured frameworks
Lean Canvas, April Dunford positioning, Moore statements, Neumeier Onliness test, JTBD analysis
Radical honesty
Built-in protocols for data labeling, confidence ratings, red flags, and clear verdicts instead of cheerleading