Guide iterative prompt and schema refinement for LLM extraction workloads.
npx skills add https://github.com/idealic-ai/engine --skill refine-idealic-ai
Please help me install this Agent Skill. Skill: refine Source: https://github.com/idealic-ai/engine/tree/main/skills/refine Command: npx skills add https://github.com/idealic-ai/engine --skill refine-idealic-ai
Iterative prompt and schema refinement using a structured, evidence-driven workflow to improve LLM extraction quality and consistency.
Run the refine workflow to begin interrogation and manifest creation.
High-intent search queries and answers about installing and using this skill.
LLM extraction quality improves through an evidence-based refinement loop that records hypotheses, runs experiments, and validates results. This structured workflow enforces protocol-driven iteration to raise consistency and build auditable improvement manifests.
A prompt refinement manifest is a structured document that maps out test cases and records decisions for LLM workloads. You need one to keep refinement documentation co-located with code and ensure repeatable, auditable improvement.
Iterative prompt engineering experiments are set up by running a structured interrogation that generates a workload manifest. This initiates a phase-based workflow encompassing planning, validation, baseline testing, and an iteration loop.
Prompt engineering hypotheses and decisions are tracked using visual critique and logs within the refinement workflow. This protocol-driven process captures experiments and results, ensuring complete auditability for extraction quality improvements.
The best way to structure a prompt iteration loop is through a phase-based workflow covering planning, validation, baseline, iteration, and synthesis. This enforces repeatable refinement and synthesizes results for consistent extraction quality.
Evidence-based prompt refinement requires a baseline test case to measure extraction quality improvements. The workflow explicitly includes a baseline phase before entering the iteration loop to ensure valid comparative results.
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