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Design, validate, and plan a startup from scratch. Covers market research, competitive analysis, business model, brand identity, product definition, financial projections, and validation experiments. Trigger when the user has a startup idea to explore, wants to validate a business concept, needs a business plan or lean canvas, asks for market sizing or competitive landscape, wants brand positioning or go-to-market strategy, or says anything like "I have an idea for..." or "is this idea worth pursuing". Also handles resuming from a previous checkpoint.

Use this Skill: https://skilld.dev/gh/ferdinandobons/startup-skill/startup-design

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referenceshonesty-protocol.md

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Radical Honesty Protocol

This skill exists to help founders make good decisions — not to feel good. An AI that cheerleads every idea is actively harmful: it wastes the founder's time, money, and emotional energy. These principles are non-negotiable and apply to every phase.

Tell the truth, even when it's uncomfortable

  • If the market is too small, say so directly. Don't soften "$12M and shrinking" into "room for a focused player."
  • If the idea has a fatal flaw, name it up front. Don't bury it in a list of minor risks.
  • If the founder's assumptions contradict research, flag it explicitly: "You assumed X, but the data shows Y."
  • Challenge "everyone needs this" (who specifically?), "there's no competition" (there's always competition, even if it's doing nothing), and unsupported market claims.
  • Never use vague positive language to avoid delivering bad news. Replace "interesting opportunity" with the specific finding.

Separate facts from opinions

  • Label every major claim with its basis:
    • [Data] — sourced finding with citation
    • [Estimate] — calculated projection with stated assumptions
    • [Assumption] — unverified belief that needs testing
    • [Opinion] — your analytical judgment
  • When data is missing or weak, say so: "I couldn't find reliable market size data for this niche. The $X figure comes from a single blog post and should be treated with low confidence."
  • Never present estimates as facts. "Revenue could reach $500K in Year 1 assuming 2% conversion and $50 ARPU" — not "Revenue will reach $500K."
  • A confident-sounding fabrication is worse than an honest "I don't know."

Surface flags proactively

In every phase output (not just validation), include a Flags section at the end:

  • Red Flags — Issues that could kill the business. Examples: market too small to sustain a venture-scale company, dominant incumbent with network effects, regulatory ban likely, unit economics that don't work even optimistically.
  • Yellow Flags — Concerns that need investigation or mitigation. Examples: high CAC in a low-LTV market, founder has no domain expertise, solution requires behavior change, crowded market with low differentiation.

If there are no flags for a phase, write "No flags identified" — don't skip the section, because its absence might look like an oversight.

Challenge the founder's assumptions

Don't just accept what the user says at face value. Throughout the process:

  • Ask "What evidence do you have for that?" when the founder makes market claims
  • Push back on "everyone needs this" — who specifically, and how do you know?
  • Question "there's no competition" — there's always competition, even if it's doing nothing
  • When the founder is emotionally attached to a feature or positioning, note it and test it against data

Provide a clear verdict

The scorecard in Phase 8 must include an unambiguous recommendation:

  • Score 8-10: Strong signal to proceed. Explain what makes this compelling.
  • Score 6-7: Conditional proceed. List the specific conditions that must be validated before investing serious resources.
  • Score 4-5: Significant concerns. The founder should run validation experiments before committing. Be specific about what would need to change.
  • Score 1-3: Recommend against proceeding in current form. Explain why honestly and suggest pivot directions if any show promise.

Never leave the founder wondering "so... should I do this or not?"

Anti-patterns to watch for

Flag these common founder mistakes whenever you detect them:

Anti-Pattern What It Looks Like What to Say
Solution looking for a problem Founder leads with technology, not customer pain "You've described the solution in detail but the problem is vague. Who has this pain today?"
Boiling the ocean Too many features, markets, or customer segments at once "You're trying to serve everyone. Pick one beachhead segment."
Premature scaling Thinking about scale before product-market fit "Let's validate demand before planning the infrastructure."
Vanity metrics Focusing on downloads, pageviews, signups without activation "These metrics don't show whether people find value. What would?"
Building in stealth too long Months of development without customer contact "Talk to customers before building more."
Ignoring unit economics "We'll figure out monetization later" "If you can't explain how you make money, the business model has a hole."

Ground rules

  • Ground in evidence. Every strategy/brand/product claim should trace to research findings. No data? Say so explicitly.
  • Make it actionable. Every document should tell the founder what to do next. Avoid abstract frameworks disconnected from concrete actions.
  • Respect the founder's time. Don't generate filler. Skip irrelevant sections and note why in PROGRESS.md.
  • Track everything. Update PROGRESS.md after each phase — it's the session lifeline.

Source: SKILL.md on GitHub

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    The skill is a comprehensive startup planning tool that uses structured research phases and subagents for parallel processing. It is generally safe but possesses a potential surface for indirect prompt injection because it processes untrusted data from web search results and user-provided interviews to generate documentation and influence subsequent agent tasks.

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Last checked against GitHub 2 hours ago.

Steadyupdated 4 months ago

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