# Prompt Packs > Use this skill when building or executing AI prompt packs - multi-step prompt workflows, templated prompts, and structured AI outputs. Triggers on "prompt pack", "prompt template", "AI workflow", "structured prompts", "prompt steps". - Skill: `amo-tech-ai-rocket-path-ai/prompt-packs` (Agent Skill, multi-file: 2 files) - Install (CLI): `npx skillmds@latest add amo-tech-ai-rocket-path-ai/prompt-packs` - Raw SKILL.md: https://api.skillmd.com/api/skills/amo-tech-ai-rocket-path-ai/prompt-packs/raw - Safety review: pending - Works with: Claude Code, Claude.ai, OpenAI Codex - Category: AI & ML - Author: amo-tech-ai (https://skillmd.com/u/amo-tech-ai-rocket-path-ai) - Updated: 2026-09-10 - Page: https://skillmd.com/skills/amo-tech-ai-rocket-path-ai/prompt-packs --- # Prompt Packs ## Overview Build and execute multi-step AI prompt workflows. Prompt packs are collections of templated prompts that guide founders through structured analysis, generation, and validation tasks with consistent, reproducible outputs. ## When to Use - Building multi-step AI workflows - Creating templated prompt libraries - Implementing structured AI outputs - Designing reusable prompt sequences - Connecting prompts to playbooks ## Prompt Pack Architecture ``` ┌────────────────────────────────────────────────────────────────┐ │ PROMPT PACK SYSTEM │ ├────────────────────────────────────────────────────────────────┤ │ │ │ ┌─────────────┐ ┌─────────────┐ ┌─────────────┐ │ │ │ CONTEXT │───▶│ ROUTER │───▶│ PACK │ │ │ │ Industry │ │ Selects │ │ Selected │ │ │ │ Stage │ │ Pack │ │ │ │ │ └─────────────┘ └─────────────┘ └──────┬──────┘ │ │ │ │ │ ┌──────▼──────┐ │ │ │ STEPS │ │ │ │ 1 → 2 → 3 │ │ │ └──────┬──────┘ │ │ │ │ │ ┌──────────────────────────────────────┤ │ │ ▼ ▼ │ │ ┌─────────────┐ ┌─────────────┐ │ │ │ OUTPUT │ │ APPLY │ │ │ │ Structured │ │ to Target │ │ │ │ JSON/Text │ │ (DB/UI) │ │ │ └─────────────┘ └─────────────┘ │ │ │ └────────────────────────────────────────────────────────────────┘ ``` ## Current Prompt Packs | Pack | Slug | Category | Steps | Use Case | |------|------|----------|-------|----------| | Problem Validation Framework | `problem-validation` | validation | 3 | Onboarding, Validation | | Idea Validation Sprint | `idea-validation` | validation | 2 | Validation | | Perfect One-Liner Generator | `one-liner-generator` | pitch | 3 | Onboarding Step 4 | | Investor Pitch Builder | `investor-pitch-builder` | pitch | 3 | Pitch Deck | | AI Lean Canvas Generator | `lean-canvas-generator` | canvas | 3 | Lean Canvas | | Customer Archetype Builder | `customer-archetype` | canvas | 3 | GTM, Canvas | | Go-to-Market Strategy Builder | `gtm-strategy` | gtm | 3 | GTM | | SaaS Pricing Strategy | `pricing-strategy` | pricing | 3 | Revenue Model | | Competitor Deep Dive | `competitor-analysis` | market | 3 | Validation, GTM | | Startup Idea Generator | `idea-generator` | ideation | 2 | Ideation | **Total: 10 packs, 28 steps** ## Pack Structure ```typescript interface PromptPack { id: string; title: string; slug: string; category: 'validation' | 'pitch' | 'canvas' | 'gtm' | 'pricing' | 'ideation' | 'market'; industry_tags: string[]; stage_tags: string[]; version: number; is_active: boolean; } interface PromptPackStep { id: string; pack_id: string; step_order: number; purpose: string; prompt_template: string; input_schema: JSONSchema; output_schema: JSONSchema; model_preference: 'gemini-3-flash' | 'gemini-3-pro' | 'claude-sonnet'; max_tokens: number; temperature: number; } ``` ## Prompts by Category | Category | Prompts | Description | |----------|---------|-------------| | **Ideation** | Problem Snapshot, First Principles, Bad Ideas Blitz, Why Now | Idea generation and refinement | | **Market** | Competitor List, Market Definition, Who Buys First | Market analysis | | **Marketing** | Channel Focused, Launch Week Plan, One Channel | GTM planning | | **Product** | Product Spec, Roadmap, Feature Scorecard | Product development | | **Funding** | Capital Requirements, Investor Matrix, Milestones | Fundraising prep | | **Revenue** | Pricing Design, Free vs Trial, One Number | Monetization | | **Founder** | Founder-Market Fit, Skill Stack, Risk Appetite | Team assessment | | **Pitch** | One Sentence Pitch, Elevator Pitch, Elephant Identifier | Pitch crafting | ## Pack-to-Playbook Routing | Context | Module | Prompt Pack(s) | |---------|--------|----------------| | Onboarding Step 1 | ideation | `problem-validation` | | Onboarding Step 2 | market | `problem-validation`, `competitor-analysis` | | Onboarding Step 3 | founder-fit | `founder-fit` | | Onboarding Step 4 | pitch | `one-liner-generator` | | Validator Quick | validation | `idea-validation` | | Validator Deep | validation | `idea-validation`, `competitor-analysis` | | Lean Canvas | canvas | `lean-canvas-generator`, `customer-archetype` | | Pitch Deck | pitch | `investor-pitch-builder`, industry-specific | | GTM Planning | gtm | `gtm-strategy`, `customer-archetype` | | Fundraising | funding | Funding prompts, `investor-pitch-builder` | ## Prompt Templates ### Problem Snapshot Template ```text You are an expert startup advisor helping a founder clarify their problem statement. INDUSTRY: {{industry}} COMPANY DESCRIPTION: {{company_description}} Transform this into a structured problem statement: 1. WHO: [Specific persona with job title, company size, or demographic] 2. STRUGGLE: [The specific pain they experience today] 3. WHY NOW: [Why this problem is urgent today, not 5 years ago] Output as JSON: { "who": "...", "struggle": "...", "why_now": "...", "confidence": 0-100 } ``` ### Validation Scorecard Template ```text You are an investor evaluating a startup idea. INDUSTRY: {{industry}} STAGE: {{stage}} IDEA: {{idea_text}} PROBLEM: {{problem_statement}} Score this idea on: 1. Problem Clarity (0-20): Is the who/struggle/why-now clear? 2. Market Size (0-15): Is this a large, growing market? 3. Solution Fit (0-15): Does the solution match the problem? 4. Competition (0-15): Is there clear differentiation? 5. Team Fit (0-10): Does this team have an edge? 6. Traction (0-15): Is there evidence of demand? 7. Business Model (0-10): Is the revenue path clear? Output as JSON with scores, total, and top 3 risks. ``` ## Edge Function: `prompt-pack` ```typescript // Actions - 'search': Find packs by category, industry, stage - 'get': Retrieve pack with all steps - 'list': List all active packs - 'run_step': Execute single step with inputs - 'run_pack': Execute all steps sequentially - 'apply': Save outputs to target (profile, canvas, etc.) ``` ## Database Schema ```sql CREATE TABLE prompt_packs ( id UUID PRIMARY KEY, title TEXT NOT NULL, slug TEXT UNIQUE NOT NULL, category TEXT NOT NULL, industry_tags TEXT[], stage_tags TEXT[], version INTEGER DEFAULT 1, is_active BOOLEAN DEFAULT true, created_at TIMESTAMPTZ DEFAULT NOW() ); CREATE TABLE prompt_pack_steps ( id UUID PRIMARY KEY, pack_id UUID REFERENCES prompt_packs(id), step_order INTEGER NOT NULL, purpose TEXT NOT NULL, prompt_template TEXT NOT NULL, input_schema JSONB, output_schema JSONB, model_preference TEXT DEFAULT 'gemini-3-flash', max_tokens INTEGER DEFAULT 2048, temperature NUMERIC DEFAULT 1.0 ); CREATE TABLE prompt_runs ( id UUID PRIMARY KEY, startup_id UUID REFERENCES startups(id), user_id UUID REFERENCES auth.users(id), pack_id UUID REFERENCES prompt_packs(id), step_id UUID REFERENCES prompt_pack_steps(id), inputs_json JSONB, outputs_json JSONB, model_used TEXT, tokens INTEGER, cost_usd NUMERIC, latency_ms INTEGER, status TEXT DEFAULT 'completed', created_at TIMESTAMPTZ DEFAULT NOW() ); ``` ## AI Model Selection | Task | Model | |------|-------| | Fast generation | `gemini-3-flash-preview` | | Deep analysis | `gemini-3-pro-preview` | | Nuanced writing | `claude-sonnet-4-5-20250929` | | Critic/Review | `claude-sonnet-4-5-20250929` | ## References - PRD Section 9: Prompt Pack System - Strategy Section 8.2: Prompt Library - `/startup-system/guides/50-mvp-prompts.md` - `/startup-system/guides/53-validate-prompts.md`