What problem does it solve?
Many LLM responses are useful but incomplete, uncritical, or miss deeper angles; this Skill provides a structured, repeatable way to push the model to reconsider, critique, and improve its recent output so final content is more accurate, robust, and actionable.
Core Features & Use Cases
- Method Registry Selection: Loads and interprets a methods.csv to choose diverse elicitation techniques (socratic, red-team, first-principles, pre-mortem) tailored to the content context.
- Interactive Iterative Refinement: Presents 1-5 options, allows reshuffling, executes selected methods in order, and preserves or discards changes only after explicit user confirmation.
- Controlled Execution & Safety: Enforces ordered flows, halt conditions, and explicit apply/confirm steps to avoid accidental overwrites during document production.
- Use Case: An editor refining a report section can run this Skill to surface hidden assumptions, generate alternative framings, and produce a cleaned, improved version for acceptance.
Quick Start
Ask the advanced elicitation skill to refine the previous section using five candidate methods and show the improved version for approval.