startup-skill — Installieren & Live-Demo

Warum nutzen

Hauptfunktionen

Idea validation framework (demand, willingness to pay, technical feasibility)
JTBD-style interview prompts and analysis
Competitive scans with source-backed claims
Business model sketches (pricing, acquisition, unit economics)
Lightweight planning — 30/60/90, OKR drafts
Adversarial red-team prompts (why this fails)

Live-Demo

In der Praxis

startup-skill.replay ▶ bereit

0/0

Installation

Repository des Autors · Offizielle Dokumentation zu Claude Skills

Anwendungsfälle

Praxisnahe Nutzung: startup-skill

How to pressure-test a startup idea before you build

👤 First-time founders and side-project builders ⏱ ~60 min beginner

Wann einsetzen: You have an idea that excites you and you want to hear the case against it before committing a quarter.

Ablauf

Frame the idea

Validate this idea using startup-skill: 'AI-powered observability for Rails apps, targeting 5-20 dev teams.'✓ Kopiert

→ Structured breakdown: customer, problem, willingness-to-pay, existing alternatives
Adversarial review

Now play devil's advocate — give me 5 reasons this fails in 18 months.✓ Kopiert

→ Specific, falsifiable failure modes (not generic)
Draft 5 validation interviews

Write 5 customer interview questions to disconfirm my riskiest assumption.✓ Kopiert

→ Non-leading, behavior-probing questions

Ergebnis: A go/no-go decision backed by specific risks and a kill-criteria list.

Fallstricke

Claude defaults to cheerleading — Explicit framing: 'act as a skeptical senior VC who has seen this category fail twice'
Interview questions leak the answer — Ask for Mom Test-style questions only

Kombinieren mit: goose-skill

Run a competitive scan with sourced claims

👤 Founders preparing a pitch or positioning doc ⏱ ~40 min intermediate

Wann einsetzen: You need to know who's in your category and where the gaps are.

Ablauf

Scope the category

Use startup-skill competitive scan for 'error monitoring for Rails apps'. Require URLs for every feature claim.✓ Kopiert

→ Vendor table with linked source per feature
Identify the whitespace

What positioning claim is unowned in this table?✓ Kopiert

→ Specific angle backed by the table

Ergebnis: A positioning angle you can defend in an investor meeting.

Fallstricke

Hallucinated features or pricing — Reject any claim without a URL; re-check URLs are real by asking Claude to fetch them

Kombinieren mit: goose-skill

Draft a 30/60/90-day plan for a new role or initiative

👤 Founders and early employees needing a plan, fast ⏱ ~25 min beginner

Wann einsetzen: New role, new team, or new product direction.

Ablauf

Seed with context

30/60/90 for a founding PM joining a 10-person dev tools startup. Primary goal: ship the self-serve signup.✓ Kopiert

→ Milestones per phase with ownership and dependencies
Pressure-test

What's over-scoped? What's the one thing that if we skip ruins the plan?✓ Kopiert

→ Specific cuts + the single critical path item

Ergebnis: A realistic plan with a stated critical path and cut candidates.

Kombinationen

Mit anderen MCPs für 10-fache Wirkung

startup-skill + goose-skill

Startup validates the bet, Goose executes GTM

Validate the idea with startup-skill; if it passes, generate ICP and outbound with goose-skills.✓ Kopiert

startup-skill + ai-marketing-claude-code-skill

Startup sets positioning, marketing skill drives campaigns

Run positioning workshop with startup-skill, then feed to ai-marketing skill for campaign planning.✓ Kopiert

Werkzeuge

Was dieses MCP bereitstellt

Werkzeug	Eingaben	Wann aufrufen
Idea validation	-	Pre-commit to a direction
JTBD interviews	-	Customer research
Competitive scan	-	Positioning and pitch prep
Business model sketch	-	Before setting prices
30/60/90 & OKRs	-	Starting something new

Kosten & Limits

Was der Betrieb kostet

API-Kontingent: None
Tokens pro Aufruf: 10-30k for a full validation pass
Kosten in €: Free
Tipp: Batch questions into one session per topic to reuse context.

Sicherheit

Rechte, Secrets, Reichweite

Credential-Speicherung: No credentials

Datenabfluss: Competitive scan uses Claude's web search; no persistent egress

Confidential ideas shared with Claude are subject to Anthropic's data policy — consider a workspace with no-training setting.

Fehlerbehebung

Häufige Fehler und Lösungen

Validation output feels like a pep talk

Explicitly ask for the adversarial mode and require failure modes before strengths

Competitive scan invents features

Require URLs for every claim; reject unsourced ones

Alternativen

startup-skill vs. andere

Alternative	Wann stattdessen	Kompromiss
goose-skill	You're past validation and need GTM execution	Less idea-stage depth

Mehr

Ressourcen

📖 Offizielle README auf GitHub lesen

🐙 Offene Issues ansehen

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