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개발 및 엔지니어링 · SKILL.md

nature-response

nature-response

Draft, revise, or audit point-by-point reviewer responses for RL, MARL, LLM, and LLM Agent manuscripts. Use for rebuttal, major revision, response letter, experiment planning, limitation rewriting, and claim softening.

Independent GitHub snapshot · Automated classification · Original documentation governs

Skill 문서

GitHub

name: nature-response description: Draft, revise, or audit point-by-point reviewer responses for RL, MARL, LLM, and LLM Agent manuscripts. Use for rebuttal, major revision, response letter, experiment planning, limitation rewriting, and claim softening. version: 2.0.0-agent-rl

Reviewer response skill

Default stance

Be respectful, concrete and evidence-driven. Never answer a technical criticism with only rhetorical reassurance.

Workflow

  1. Classify each comment: novelty, method, baseline, experiment, reproducibility, writing, safety, limitation.
  2. Identify required action: new experiment, new analysis, text clarification, citation addition, limitation admission, impossible request explanation.
  3. For RL/MARL/LLM/Agent comments, check whether the response needs:
    • more seeds or statistics;
    • stronger baselines;
    • held-out tasks/partners/models;
    • compute/latency/cost analysis;
    • prompt/tool/trajectory disclosure;
    • clearer mathematical formulation.
  4. Draft a point-by-point response with exact manuscript changes.
  5. Avoid over-promising. If a real-world experiment is infeasible, explain scope and add limitations/future work.

Output format

Response strategy:
- main risk:
- revision package:

Reviewer comment 1:
Response:
Manuscript changes:
Additional experiments/analysis:
Remaining limitation:

Revision checklist:
- ...

Red lines

Do not fabricate completed experiments. Use “we will add / we have added” only according to the user's status. Do not attack the reviewer.

저장한 Skills