hypothesis-tree
✓Structure complex questions into testable hypotheses. Use when validating product ideas, debugging problems, planning experiments, or breaking down ambiguous challenges into actionable research.
Installation
SKILL.md
A Hypothesis Tree is a structured approach to breaking down complex questions into testable hypotheses. Originally from management consulting (McKinsey), it ensures MECE (Mutually Exclusive, Collectively Exhaustive) coverage of a problem space.
Mutually Exclusive: No overlap between branches Collectively Exhaustive: All possibilities covered
| Specific | Clear, measurable | "Checkout abandonment is >70% on mobile" | | Testable | Can be proven/disproven | Not "users don't like it" | | Falsifiable | Could be wrong | Has clear failure criteria | | Actionable | Leads to decision | If true → do X, if false → do Y |
Structure complex questions into testable hypotheses. Use when validating product ideas, debugging problems, planning experiments, or breaking down ambiguous challenges into actionable research. Source: flpbalada/my-opencode-config.
Facts (cite-ready)
Stable fields and commands for AI/search citations.
- Install command
npx skills add https://github.com/flpbalada/my-opencode-config --skill hypothesis-tree- Category
- >_Productivity
- Verified
- ✓
- First Seen
- 2026-02-01
- Updated
- 2026-02-18
Quick answers
What is hypothesis-tree?
Structure complex questions into testable hypotheses. Use when validating product ideas, debugging problems, planning experiments, or breaking down ambiguous challenges into actionable research. Source: flpbalada/my-opencode-config.
How do I install hypothesis-tree?
Open your terminal or command line tool (Terminal, iTerm, Windows Terminal, etc.) Copy and run this command: npx skills add https://github.com/flpbalada/my-opencode-config --skill hypothesis-tree Once installed, the skill will be automatically configured in your AI coding environment and ready to use in Claude Code or Cursor
Where is the source repository?
https://github.com/flpbalada/my-opencode-config
Details
- Category
- >_Productivity
- Source
- skills.sh
- First Seen
- 2026-02-01