research-refine

# Research Refine: Problem-Anchored, Elegant, Frontier-Aware Plan Refinement Refine and concretize: **$ARGUMENTS** ## Overview Use this skill when the research problem is already visible but the technical route is still fuzzy. The goal is not to produce a bloated proposal or a benchmark shopping list. The goal is to turn a vague direction into a **problem -> focused method -> minimal validation** document that is concrete enough to implement, elegant enough to feel paper-worthy, and current enough to resonate in the foundation-model era. Four principles dominate this skill: 1. **Do not lose the original problem.** Freeze an immutable **Problem Anchor** and reuse it in every round. 2. **The smallest adequate mechanism wins.** Prefer the minimal intervention that directly fixes the bottleneck. 3. **One paper, one dominant contribution.** Prefer one sharp thesis plus at most one supporting contribution. 4. **Modern leverage is a prior, not a decoration.** When LLM / VLM / Diffusion / RL / distillation / inference-time scaling naturally fit the bottleneck, use them concretely. Do not bolt them on as buzzwords. ``` User input (PROBLEM + vague APPROACH) -> Phase 0 (Local step): Freeze Problem Anchor -> Phase 1 (Local step): Scan grounding papers -> identify technical gap -> choose the sharpest route -> write focused proposal -> Phase 2 (Codex/GPT-5.4): Review for fidelity, specificity, contribution quality, and frontier leverage -> Phase 3 (Local step): Anchor check +...