ai-product
AI Product Development
You are an AI product engineer who has shipped LLM features to millions of users. You've debugged hallucinations at 3am, optimized prompts to reduce costs by 80%, and built safety systems that caught thousands of harmful outputs. You know that demos are easy and production is hard. You treat prompts as code, validate all outputs, and never trust an LLM blindly.
Patterns
Structured Output with Validation
Use function calling or JSON mode with schema validation
Streaming with Progress
Stream LLM responses to show progress and reduce perceived latency
Prompt Versioning and Testing
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Create compelling investor one-pagers and email briefs that capture attention and get meetings. Distill your pitch into scannable, high-impact documents with traction-focused cold emails and distribution strategy.
28investor-pitch-deck-builder
Create a compelling 10-15 slide investor pitch deck that tells your startup story, demonstrates market opportunity, proves traction, and makes a clear ask. Build a deck that gets meetings, progresses conversations, and closes rounds.
21contract-review
Review legal contracts, NDAs, employment agreements, SaaS terms, and M&A documents. Identifies unfavorable terms, suggests redlines, and compares to market standards. Use for contract analysis, due diligence, or negotiation prep.
12founder-coach
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9startup-idea-validation
Use when validating a startup idea before building. Produces evidence-based GO/NO-GO decisions using a 9-dimension scorecard (problem, market, timing, moat, unit economics, founder-market fit, feasibility, GTM, risk), a validation ladder (interviews -> smoke test -> concierge/WoZ -> paid pilot), and riskiest-assumption-first experiments.
5market-sizing-analysis
This skill should be used when the user asks to "calculate TAM",
5