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Fundraising narrative

Skill Hayatelin/founder-skills/skills/fundraising-narrative

A founder/indie-hacker skills pack for Claude Code, Cursor, Codex and Gemini CLI: market research, competitor analysis, outcome-based pricing, landing-page copy, MVP spec, cold outreach, growth experiments and fundraising narrative.

Install
npx -y skills add Hayatelin/founder-skills --skill fundraising-narrative

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 0 stars0 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

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Crafts the pitch narrative — problem, insight, why-now, solution, traction, market, and ask — for a pre-seed/seed AI startup. Trigger on "help me pitch", "pitch deck narrative", "fundraising story", "why now slide", "seed pitch", or "how do I tell my startup's story to investors".

SKILL.md

2.5 KB, as published. Nobody here has run it

When to use

When a founder is preparing to raise pre-seed/seed and needs a tight, investor-grade narrative arc — for a deck, a memo, or a verbal pitch.

Inputs to gather

  1. The problem, ICP, and what's broken about today's solutions.
  2. The founder's non-obvious insight / unfair advantage (why YOU, why now).
  3. Any traction: revenue, pilots, waitlist, design partners, growth rate.
  4. The raise amount, the milestones it funds, and rough use of funds.

Process

  1. Open on the problem — visceral, specific, in the customer's world (not "the market is huge").
  2. State the insight — the contrarian thing you believe that others don't; this is the spine of the pitch.
  3. Why now — the shift that makes this possible today (model capability, cost curve, regulation, behavior change). Investors fund timing.
  4. Solution — how it works in one breath, framed as the inevitable answer to the insight.
  5. Moat — be explicit: proprietary data, vertical depth, workflow lock-in, network effects, or regulatory edge. Pass the test: "if OpenAI/Anthropic shipped this tomorrow, what's left?" A thin wrapper won't clear seed bar in 2026.
  6. Traction — the steepest true line you have (revenue, design partners, retention, NRR). For vertical AI, outcome-based revenue + NRR 120-150% is a strong signal.
  7. Market — bottom-up sizing, then the wedge → expansion path.
  8. The ask — amount, the 2-3 milestones it buys, and the metric that earns the next round.

Output

  • One-line positioning ("We help [ICP] achieve [outcome] via [insight]").
  • Narrative arc: Problem → Insight → Why Now → Solution → Moat → Traction → Market → Ask, one tight paragraph or slide line each.
  • The ask with milestones and use of funds.
  • 3 anticipated hard questions + crisp answers (moat, defensibility, why-you).

Quality bar & pitfalls

  • Good = the insight and "why now" are memorable enough that an investor repeats them to a partner.
  • Traction speaks louder than vision at seed — lead with the steepest real number you have.
  • Avoid: feature-first pitches; vague "$X0B TAM" with no wedge; hand-waving the moat; a "why now" that was equally true three years ago.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.