sm:shape:risk-sequence
OfficialPrioritize and retire your riskiest assumptions
Product & Management#prioritization#feasibility#assumptions#prd#experiment-design#desirability#risk-sequencing
Authormnfst-ai
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps builders identify the load-bearing assumptions in a spec, design, or prompt and sequence work so the riskiest bets get proven (or retired) first, preventing wasted build effort and costly rework.
Core Features & Use Cases
- Load-bearing assumption discovery: Reads PRDs, MRDs, architecture or design docs, prompts, or rough ideas and highlights statements that are treated as settled but untested.
- Risk prioritization and sequencing: Ranks assumptions by cost-if-wrong (P1–P3), showing which experiments to run first to minimize downstream waste.
- Actionable experiments: For each top risk, prescribes the smallest practical test to validate or invalidate the assumption and advises when to run it relative to other risks.
- Use Case: Before writing prompts for Claude Code or starting a development sprint, run this Skill to get a 4–6 item risk-retirement map and concrete experiments.
Quick Start
Analyze the attached PRD and return 4-6 prioritized load-bearing assumptions with consequences if wrong and the smallest experiments to retire each P1.
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:shape:risk-sequence Download link: https://github.com/mnfst-ai/Stage_Manager_Skills/archive/main.zip#sm-shape-risk-sequence Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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