startup-skill — Installer & Démo en direct

Pourquoi l'utiliser

Fonctionnalités clés

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)

Démo en direct

Aperçu en pratique

startup-skill.replay ▶ prêt

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Installation

Dépôt de l’auteur · Documentation officielle des Skills Claude

Cas d'usage

Usages concrets : startup-skill

How to pressure-test a startup idea before you build

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

Quand l'utiliser : You have an idea that excites you and you want to hear the case against it before committing a quarter.

Déroulement

Frame the idea

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

→ 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.✓ Copié

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

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

→ Non-leading, behavior-probing questions

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

Pièges

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

Combiner avec : goose-skill

Run a competitive scan with sourced claims

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

Quand l'utiliser : You need to know who's in your category and where the gaps are.

Déroulement

Scope the category

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

→ Vendor table with linked source per feature
Identify the whitespace

What positioning claim is unowned in this table?✓ Copié

→ Specific angle backed by the table

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

Pièges

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

Combiner avec : 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

Quand l'utiliser : New role, new team, or new product direction.

Déroulement

Seed with context

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

→ 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?✓ Copié

→ Specific cuts + the single critical path item

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

Combinaisons

Associez-le à d'autres MCPs pour un effet X10

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.✓ Copié

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.✓ Copié

Outils

Ce que ce MCP expose

Outil	Entrées	Quand appeler
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

Coût et limites

Coût d'exécution

Quota d'API: None
Tokens par appel: 10-30k for a full validation pass
Monétaire: Free
Astuce: Batch questions into one session per topic to reuse context.

Sécurité

Permissions, secrets, portée

Stockage des identifiants : No credentials

Sortie de données : 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.

Dépannage

Erreurs courantes et correctifs

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

Alternatives

startup-skill vs autres

Alternative	Quand l'utiliser	Compromis
goose-skill	You're past validation and need GTM execution	Less idea-stage depth

Plus

Ressources

📖 Lire le README officiel sur GitHub

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