What is fpf:propose-hypotheses?
Execute complete FPF cycle from hypothesis generation to decision Source: neolabhq/context-engineering-kit.
Execute complete FPF cycle from hypothesis generation to decision
Quickly install fpf:propose-hypotheses AI skill to your development environment via command line
Source: neolabhq/context-engineering-kit.
Execute the First Principles Framework (FPF) cycle: generate competing hypotheses, verify logic, validate evidence, audit trust, and produce a decision.
Exit: When user says no or declines to add more.
For EACH L0 hypothesis file in .fpf/knowledge/L0/, launch parallel fpf-agent with sonnet[1m] model:
Execute complete FPF cycle from hypothesis generation to decision Source: neolabhq/context-engineering-kit.
Stable fields and commands for AI/search citations.
npx skills add https://github.com/neolabhq/context-engineering-kit --skill fpf:propose-hypothesesExecute complete FPF cycle from hypothesis generation to decision Source: neolabhq/context-engineering-kit.
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/neolabhq/context-engineering-kit --skill fpf:propose-hypotheses Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code, Cursor, or OpenClaw
https://github.com/neolabhq/context-engineering-kit