sm:invalidate-score
OfficialScore assumptions from interviews, reveal pull
Authormnfst-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps builders turn messy interview notes into actionable clarity by scoring assumptions as validated, invalidated, or open and by surfacing whether any form of pull appeared during conversations.
Core Features & Use Cases
- Assumption Scoring: Reads an account of one or more invalidation interviews and assigns each original assumption a verdict: Validated, Invalidated, or Open.
- Pull Signal Identification: Names observed pull signal types (lean-in, reach, referral, emotion, behavior, time) and highlights their implications for the foundation assumption.
- Next-Step Guidance: Provides a concise foundation verdict and recommended follow-ups such as running further interviews, revising the assumption, or proceeding to build.
- Use Case: A builder returns from three customer calls unsure whether demand exists; use this Skill to synthesize the accounts, reveal any pull, and decide whether to proceed or re-test.
Quick Start
Use /sm:invalidate-score to analyze an interview account and return scored assumptions with identified pull signals and a clear foundation verdict.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sm:invalidate-score Download link: https://github.com/mnfst-ai/Stage_Manager_Skills/archive/main.zip#sm-invalidate-score Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
Agent Skills Search Helper
Install a tiny helper to your Agent, search and equip skill from 471,000+ vetted skills library on demand.