Build investor-ready pitch scripts in multiple formats (10-min, 5-min, 2-min, 1-min elevator, investor email). Produces pitch narratives, Q&A preparation, pitch scoring rubric, and optional investor roleplay practice. Use when the user wants to create a pitch, prepare for investor meetings, craft a

Startup Pitch Build investor ready pitch content in multiple formats. Uses a structured 7 element framework combined with a problem solution insight foundation to produce pitch narratives that are clear, compelling, and fundable. How It Works The process: understand the company deeply, research the investor audience and competitive framing, then construct the pitch. Typical runtime: 15 20 minutes in Claude Code (parallel agents), 30 40 minutes in Claude.ai (sequential). Core Philosophy Three principles govern every output this skill produces: 1. Clarity over sophistication. "80% accurate and 100% clear beats the reverse." If a grandmother can't understand what you do, investors won't either. Eliminate jargon, acronyms, and marketing language. 2. Lead with what's impressive. You earn each additional minute of investor attention. Don't bury traction after 5 sections of problem setup — put the strongest signal right after "what you do." 3. Make investors talk. A pitch isn't a monologue. The more investors talk, the more they convince themselves. Structure the narrative to invite conversation, not shut it down. Language Default output language is English . If the user writes in another language or explicitly requests one, use that language for all outputs instead. Phase 0: Resume Check Before anything else, check if a PROGRESS.md created by this skill exists in the working directory or a project subdirectory (the skill name field says startup pitch ). If it does, read it and resume from the last incomplete phase. Tell the user: "I found progress from a previous session. You completed [phases]. Picking up from [next phase]." If no progress file exists — or the one found belongs to a different skill — start from Phase 1. Phase 1: Intake Short and focused — 1 2 rounds of questions. The goal is enough context to build a compelling pitch. Recommended Prior Work A pitch built on validated data is significantly stronger than one built on self reported answers. If you haven't already, consider running startup design first — it provides market research, competitive analysis, business model, financial projections, and a validation scorecard that become the foundation of a much more credible pitch. Not required. startup pitch works standalone. But the quality difference is noticeable. Check for Prior Work Before asking questions, check if prior sessions have been completed. Look for these files in the working directory or subdirectories: From startup design: 00 intake/brief.md — product description and context 01 discovery/market analysis.md — market size, TAM/SAM/SOM 01 discovery/competitor landscape.md — competitor profiles 01 discovery/target audience.md — customer personas, pain points 02 strategy/lean canvas.md — business model summary 02 strategy/positioning.md — positioning framework 05 financial/revenue model.md — revenue projections 06 validation/scorecard.md — idea scorecard From startup competitors: competitors report.md — competitive landscape battle cards/ — per competitor profiles pricing landscape.md — pricing analysis From startup positioning: positioning doc.md — positioning document positioning statement.md — positioning statements, elevator pitch competitive alternatives.md — alternatives map messaging implications.md — messaging hierarchy If these files exist, read them and extract the pitch building blocks: product description, problem/solution, traction, team, market size, business model, positioning, competitive landscape. Tell the user: "I found data from a previous session. I'll use it to build your pitch." Skip redundant intake questions. Go straight to pitch specific questions if prior data is sufficient. What to Ask (if no prior data exists) Round 1 — The essentials (all required for a pitch): What does your company do? (2 sentences max — this becomes the opening) What problem are you solving and for whom? What's your unique insight? (What do you know that others don't?) What traction do you have? (users, revenue, growth rate — with timeframes). If none: say so honestly, we'll build the pitch around insight and team instead. What's your business model? (one sentence — how do you make money?) Who's on the team? (names, roles, key accomplishments — not titles) How much are you raising and what will you do with it? Round 2 — Sharpening (only if needed): What's your market size? (or enough data to calculate it) Who are your main competitors? What's your advantage? What milestones will you hit in 18 24 months with this funding? Pitch specific questions: Who is the audience? (VCs, angels, accelerator, demo day, specific fund?) What formats do you need? (10 min narrative, 2 min verbal, email pitch, all of them?) Don't over interview. A founder with clear answers to Round 1 has enough to build a strong pitch. The 2 Sentence Test Before moving to research, crystallize the company description into exactly 2 sentences + one specific example. This is the foundation of the entire pitch. Test: send it to a smart friend — could they paraphrase it back correctly? If not, simplify further. Anti pattern: "We leverage AI powered machine learning to optimize cross functional synergies in the B2B SaaS vertical." Better: "We help sales teams find which leads will actually buy. Our tool analyzes email replies and tells reps exactly who to call next — last month one customer closed 40% more deals." Output Save to {project name}/intake.md — consolidated context for pitch construction. Project name: kebab case (e.g., ai sales assistant ). Create {project name}/PROGRESS.md with: project name, skill name ( startup pitch ), start date, language, requested formats, target audience, research mode (Live / Knowledge Based), and a phase checklist. Update it after each phase completes. Phase 1.5: Research Depth Assessment After intake, assess market complexity and present the Research Depth recommendation to the user. Reference: Read references/research scaling.md for the complexity scoring matrix, tier definitions, wave configurations, and the user communication template. Process 1. Score three factors from the intake: market breadth (1 3), known competitors (1 3), geographic scope (1 3) 2. Sum the scores (range 3 9) and map to a tier: Light (3 4), Standard (5 7), Deep (8 9) 3. Present the Research Depth table to the user (see research scaling.md for the exact template) 4. Wait for user response: light , deep , or ok to accept the recommendation 5. Record the selected tier in PROGRESS.md The selected tier determines the number of agents per wave and search rounds per agent in Phase 2. See research scaling.md for exact wave configurations per tier. Phase 2: Research Two sequential research waves exploring investor audience and competitive/market framing — agents within a wave run in parallel, and Wave 2 builds on Wave 1's findings. Together they provide the raw material for a pitch that resonates with the target audience. Environment Detection Check if the Agent tool is available: Agent tool available (Claude Code): Spawn all agents within each wave in parallel. This is faster. Agent tool NOT available (Claude.ai, web): Execute research sequentially, following the same templates. Same depth, just slower. Web Search If WebSearch is unavailable, fall back to Knowledge Based Mode : use training data, mark findings with [Knowledge Based — verify independently] , and reduce confidence ratings by one level. Note the mode in PROGRESS.md. Reference: Read references/research principles.md before starting any wave. It defines source quality tiers, cross referencing rules, and how to handle data gaps. Wave 1: Audience & Narrative Intelligence Reference: Read references/research wave 1 audience narrative.md for agent templates. Two agents (or two sequential blocks): A1: Investor & Audience Intelligence — Research the target audience (VC firms, angels, accelerators). What are they investing in? What thesis do they follow? What metrics matter at this stage? What are red flags for them? What's the current fundraising climate in this space? Build an audience profile that shapes how the pitch is framed. A2: Comparable & Narrative Research — Find comparable companies that pitched successfully in this space. What story did they tell? What analogies worked? What "X for Y" framing resonated? What market trends can the pitch ride? Find the narrative hooks — the facts, trends, or insights that make investors lean forward. Complete Wave 1 before starting Wave 2. Pass key findings (audience expectations, comparable narratives) as context. Wave 2: Competitive Framing & Why Now Reference: Read references/research wave 2 competitive framing.md for agent templates. Two agents (or two sequential blocks): B1: Competitive Framing for Pitch — How competitors position themselves to investors. What narratives have worked for funded competitors? Where are the gaps in their stories that this pitch can exploit? What objections will investors raise based on the competitive landscape? Build a "pitch aware" competitive frame. B2: Why Now & Market Timing — Research the timing thesis. What technology shift, behavioral change, or regulatory move makes this the right moment? Find data to support the "why now" — trend charts, adoption curves, policy changes. Assess whether the timing narrative is genuinely strong or forced. Post Research Checkpoint After both waves complete, before synthesis, briefly present what the research found to the user: the investor audience profile, the strongest narrative hooks, the competitive framing angle, and the "why now" thesis. Ask: "Does this align with your pitch vision? Anything to adjust before I build the pitch?" Keep it to one message — this is a quick alignment check, not a full report. Phase 3: Pitch Construction Reference: Read references/pitch frameworks.md for the complete framework, including the integration matrix. Reference: Read references/research synthesis.md for synthesis protocol and output templates. Build the pitch using the integrated framework. The construction combines a problem solution insight foundation with a structured 7 element approach — see the integration matrix in pitch frameworks.md for how they connect. A pitch is an argument with a story arc, not a list of facts in a fixed order. The hard part is judgment: which element leads, what the one non obvious insight is, and how the pieces build tension toward the ask. Before drafting, think hard about what's genuinely most impressive about this company and what an investor needs to believe at each step to reach "yes." If the model supports extended thinking, spend it here — the ordering and the insight are what separate a memorable pitch from a competent one. The Foundation: Problem → Solution → Insight Every pitch must communicate three things clearly: 1. Problem — The initial conditions. What's broken? Who suffers? 2. Solution — The experiment. What are you building to fix it? 3. Insight — Why this will work. What non obvious truth powers this? The insight is what separates a pitch from a product description. Without it, you're just another company doing X. The 8 Elements (Pitch Order) The pitch is constructed using these elements, but the ORDER depends on what's most impressive about the company: 1. What You Do — 2 sentences + specific example. Impossible to misunderstand. 2. [Lead with strength] — Whatever is most impressive goes here: traction, team, insight, or market. 3. Traction — Metrics WITH timeframes. "0 to 1,000 users in 8 weeks" not "1,000 users." 4. Unique Insight — What do you know that others don't? 5. Business Model — One clear model. Not a menu of options. 6. Market

startup-pitch