What problem does it solve?
When tackling an engineering problem, teams often fixate on the first plausible approach and stop searching. This Skill forces divergent thinking by generating 3-5 genuinely distinct candidate approaches for a current question, keeping each option's weakest link and evidence gap visible so premature convergence is avoided.
Core Features & Use Cases
- Divergent option generation: Produces candidates that differ in kind, not degree, each with a title, mechanism, expected benefit, weakest link, and evidence gap.
- FPF-grounded retrieval: Queries the Haft MCP server for First Principles Framework patterns and project memory to ground exploration in the current entity of concern.
- Gated persistence: Returns candidates conversationally by default, and only persists a SolutionPortfolio with per-candidate Notes when an explicit save intent or reliance-bearing receiving use exists.
- Use Case: While deciding how to structure a new caching layer, ask for alternatives and receive several architecturally distinct options, each annotated with its main risk, instead of a single recommendation.
Quick Start
Ask the agent to use h-explore to generate distinct candidate approaches for your current design question, keeping each option's weakest link visible.