mohamedameen-io/startupkit/sk-pitch

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

INTAKE → RESEARCH (2 parallel waves) → PITCH CONSTRUCTION → REVIEW & PRACTICE

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.

Setup

Use the intake phase to assemble prior-phase inputs before selecting research depth.

Mode Selection

This skill supports mode=quick, mode=standard, or mode=deep in slash-command args.

• quick (10-15 min): produce concise investor narrative outputs (elevator + 2-minute pitch).
• standard (30-60 min): default path producing core investor formats.
• deep (1-2+ hours): full multi-format package with deep Q&A prep and scorecard.

If no mode is passed, default to standard. Use references/mode-contracts.md for exact deliverable contracts per mode.

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. For the best results, complete StartupKit phases 1-9 before running this skill -- they provide niche validation, competitive intelligence, positioning, a Grand Slam Offer, validation results, revenue model, lead strategy, and AI skills integration that become the foundation of a much more credible pitch.

Not required. sk-pitch works standalone. But the quality difference is noticeable.

Check for Prior StartupKit Session

Before asking questions, ask the user for their session name, then read ALL available session files for comprehensive pitch context:

From Phase 2 (Niche):

• workspace/sessions/{name}/02-niches.md -- Gold niche (Person, Problem, Promise)

From Phase 3 (Competitors):

• workspace/sessions/{name}/03-competitors.md -- Competitive landscape summary
• workspace/sessions/{name}/03-competitors/battle-cards/ -- Per-competitor battle cards (for Q&A prep)
• If workspace/sessions/{name}/03-competitors/competitor-dossiers/ directory exists, read the dossiers for deeper competitive framing in Q&A preparation — dossiers contain strategic vulnerabilities and future trajectory that strengthen "why us" answers

From Phase 4 (Positioning):

• workspace/sessions/{name}/04-positioning.md -- Positioning summary with elevator pitch
• workspace/sessions/{name}/04-positioning/positioning-statement.md -- Full statement formats
• workspace/sessions/{name}/04-positioning/messaging-implications.md -- Messaging hierarchy

From Phase 5 (Offer):

• workspace/sessions/{name}/05-offer.md -- Grand Slam Offer details (product, price, value equation)

From Phase 6 (Validation):

• workspace/sessions/{name}/06-validation.md -- Validation results (traction proxy, unfair advantages)

From Phase 7 (Money):

• workspace/sessions/{name}/07-money-model.md -- Revenue model, projections, customer journey

From Phase 8 (Leads):

• workspace/sessions/{name}/08-lead-strategy.md -- GTM strategy, channels, 4 Pillars scores

From Phase 9 (Skills):

• workspace/sessions/{name}/09-skills-match.md -- AI skills integration plan

For any files that don't exist, note the gap and proceed with what's available. Not every session completes all phases before pitching.

Data Mapping from StartupKit

Tell the user what data was found: "I found data from [X] prior phases. Here's what I'll use for the pitch: [summary]. I still need to ask about your team and fundraising ask."

Always ask these pitch-specific questions regardless of prior data:

• Who is the target audience for this pitch? (VCs, angels, accelerator, demo day, specific fund?)
• What formats do you need? (10-min, 5-min, 2-min, 1-min, email, all?)
• Who's on the team? (names, roles, key accomplishments -- be specific)
• How much are you raising and what will you do with it? (amount, milestones, timeframe)

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 consolidated context to workspace/sessions/{name}/10-pitch.md for pitch construction.

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

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 parallel research waves exploring investor audience and competitive/market framing. 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.

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