founder-skills

Use this agent to review startup pitch decks against 2026 investor best practices. Use when the user asks "review my deck", "pitch deck feedback", "check my slides", "is my deck ready", "critique this pitch deck", "what's wrong with my deck", or provides a pitch deck (PDF, PPTX, markdown, or text) for evaluation. Covers pre-seed, seed, and Series A. <example> Context: User shares a pitch deck for review user: "Here's our seed deck — can you review it?" assistant: "I'll use the deck-review agent to analyze your deck against 2026 best practices and provide a scored assessment with specific recommendations." <commentary> User provided a deck for review. The deck-review agent handles the full structured review workflow. </commentary> </example> <example> Context: User wants to know if their deck is investor-ready user: "Is this deck ready to send to investors? We're raising a pre-seed round." assistant: "I'll use the deck-review agent to evaluate your deck against pre-seed stage expectations and investor best practices." <commentary> User wants readiness assessment. The agent detects stage, applies stage-specific criteria, and produces a scored review. </commentary> </example> <example> Context: User describes their slides as text user: "I have 10 slides: Slide 1 is our company intro with the tagline 'AI-powered compliance for fintechs'..." assistant: "I'll use the deck-review agent to review your deck based on the slide descriptions you've provided." <commentary> User provides text descriptions instead of a file. The agent adapts to text input. </commentary> </example>

Use this agent to review a startup's financial model, validate unit economics, stress-test runway scenarios, and identify investor red flags. <example> Context: User has an Excel financial model user: "Can you review my financial model? Here's the spreadsheet." assistant: "I'll use the financial-model-review agent to analyze your model." <commentary> User providing a financial model triggers this agent. </commentary> </example> <example> Context: User wants to check unit economics user: "Are my unit economics investor-ready? CAC is $1500, LTV is $6000." assistant: "I'll use the financial-model-review agent to validate your unit economics." <commentary> Unit economics questions trigger this agent. </commentary> </example>

Use this agent to simulate a VC Investment Committee discussion about a startup. Use when the user asks "simulate an IC", "how would VCs discuss this", "IC meeting simulation", "investment committee practice", "prepare for IC", "VC partner discussion", "what will investors debate", "how would a fund evaluate this", "IC prep", or provides startup materials for investment committee simulation. <example> Context: User wants to prepare for IC meetings user: "Can you simulate an IC discussion for our startup? We're raising a seed round." assistant: "I'll use the ic-sim agent to simulate a realistic Investment Committee discussion with three partner archetypes debating your startup." <commentary> User wants IC preparation. The ic-sim agent handles the full simulation workflow with partner assessments and debate. </commentary> </example> <example> Context: User wants to know how a specific fund would evaluate them user: "How would Sequoia's partners discuss our company in their IC?" assistant: "I'll use the ic-sim agent in fund-specific mode to research Sequoia's partners and simulate their IC discussion." <commentary> User wants fund-specific simulation. The agent will use WebSearch to research the fund before simulating. </commentary> </example> <example> Context: User already ran market sizing and deck review user: "I just did market sizing and a deck review -- now simulate the IC" assistant: "I'll use the ic-sim agent to simulate an IC, importing your prior market sizing and deck review artifacts." <commentary> User has prior artifacts. The agent imports them to ground the IC simulation in validated data. </commentary> </example>

Use this agent to perform TAM/SAM/SOM market sizing analysis, validate market figures from pitch decks, or stress-test market assumptions. Use when the user asks "what's the TAM", "analyze this market", "validate these market numbers", "size this market", "review the market sizing slide", "is this market big enough", or provides a pitch deck, financial model, or market data for analysis. <example> Context: User shares a pitch deck or market data user: "Here's the deck for Acme Corp — can you validate their market sizing?" assistant: "I'll use the market-sizing agent to analyze and validate Acme Corp's TAM/SAM/SOM claims against external sources." <commentary> User provided materials with market claims that need independent validation. The market-sizing agent handles the full analysis workflow. </commentary> </example> <example> Context: User wants to estimate market size for a new opportunity user: "We're looking at a fintech startup in the payments space targeting SMBs in Europe. What's the market look like?" assistant: "I'll use the market-sizing agent to research and calculate TAM/SAM/SOM for European SMB payments." <commentary> User needs a from-scratch market sizing analysis. The agent will research external sources and build the estimate. </commentary> </example> <example> Context: User wants to stress-test assumptions user: "What happens to the market sizing if the customer count is 30% lower than estimated?" assistant: "I'll use the market-sizing agent to run sensitivity analysis on the assumptions." <commentary> User wants to understand how changes in assumptions affect the market sizing. The agent runs sensitivity.py. </commentary> </example>

Scores and strengthens startup pitch decks against 35 investor-grade criteria before founders send them to VCs. Use when user asks to 'review my deck', 'pitch deck feedback', 'check my slides', 'is my deck ready', 'review this pitch deck', 'deck critique', 'improve my pitch deck', 'what's wrong with my deck', 'pitch deck review', 'fundraising deck feedback', or provides a pitch deck (PDF, PPTX, markdown, or text) for evaluation. Covers pre-seed, seed, and Series A against 2026 best practices from Sequoia, DocSend, YC, a16z, and Carta data. Do NOT use for financial model review, market sizing, or general document editing.

Reviews startup financial models for investor readiness — validating unit economics, stress-testing runway scenarios, and benchmarking metrics against stage-appropriate targets. Use when user asks to 'review my financial model', 'check my projections', 'validate my unit economics', 'stress-test my runway', 'analyze my burn rate', 'review my spreadsheet model', or provides an Excel spreadsheet, CSV, or financial projections for evaluation. Supports Excel (.xlsx), CSV, Google Sheets exports, documents, and conversational input. Do NOT use for market sizing (use market-sizing), pitch deck feedback (use deck-review), or general spreadsheet editing, accounting, or tax preparation.

Simulates a realistic VC Investment Committee discussion with three partner archetypes debating a startup's merits, concerns, and deal terms, scored across 28 dimensions. Use when user asks to 'simulate an IC', 'how would VCs discuss this', 'IC meeting simulation', 'investment committee practice', 'prepare for IC', 'VC partner discussion', 'what will investors debate', 'how would a fund evaluate this', 'IC prep', or provides startup materials for investment committee simulation. Do NOT use for pitch deck feedback (use deck-review), market sizing, or financial model analysis.

Builds credible TAM/SAM/SOM analysis with external validation and sensitivity testing for startup fundraising. Use when user asks to 'size this market', 'what's the TAM', 'analyze this market', 'validate these market numbers', 'review the market sizing slide', 'is this market big enough', 'market sizing', 'TAM/SAM/SOM', 'stress-test market assumptions', or provides a pitch deck, financial model, or market data for analysis. Supports top-down, bottom-up, or dual-methodology approaches. Do NOT use for general market research without sizing, competitive landscape analysis, or financial model review (use financial-model-review).

1 hook across 1 event