fpf:propose-hypotheses

What problem does it solve?

This Skill automates a structured First Principles Framework (FPF) workflow to move from a raw problem statement to a documented, evidence-backed decision, reducing manual coordination and ensuring hypotheses are verified, validated, and audited before selection.

Core Features & Use Cases

• End-to-end hypothesis lifecycle: scaffold a .fpf workspace, generate L0 hypotheses, verify logic to L1, validate evidence to L2, audit trust, and create a decision record.
• Parallel agent orchestration: run verification, validation, and audit sub-agents in parallel to speed evaluation across many hypotheses.
• Traceable artifacts: persist context, hypothesis files, audit reports, and design rationale records for review, reproducibility, and handoff.
• Use Case: product teams investigating a sudden drop in retention can generate competing root-cause hypotheses, validate evidence streams, and produce a recommended action with rationale.

Quick Start

Propose hypotheses for why monthly active users dropped by 20% and produce an evidence-backed recommended decision.