Agent skill · Code Review & Quality

iros-author-response

Use when responding to IROS reviews given the traditional no-rebuttal model — pre-answering objections in the paper and video before submission, addressing the meta-review through camera-ready edits, writing RA-L response letters for the journal pathway, and drafting reject-to-ICRA/CoRL/RA-L resubmission memos under double-anonymous rules.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-author-response --agent claude-code

Same command for any agent — swap --agent for codex, cursor, copilot.

Facts
Files in the skill folder: 1
SKILL.md size: 4 KB
Bundled scripts: none
Path: IROS-Skills/skills/iros-author-response/SKILL.md
Open the folder on GitHub →
Where it comes from
Stars: 909 · +31 this week
Language: Stata
Read our review of the source →

Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.

From the SKILL.md

# IROS Author Response Use this after IROS reviews arrive — and, crucially, *before* submission too, because IROS traditionally offers **no rebuttal**. The reviews come with the decision, so the "response" is spread across three real channels: pre-answering in the paper, editing the camera-ready, and, if rejected or on the journal route, a response letter or resubmission memo. Confirm the current cycle's policy before assuming a rebuttal window does or does not exist. ## Channel 1: pre-answer before you submit The most effective IROS author response is written before anyone reviews the paper. Anticipate the standard objections and disarm them in the body and the video: - "Did it really work?" → shown, uncut trials plus a labeled failure in the video. - "Is it reliable or cherry-picked?" → trial counts, resets, and a failure taxonomy in the body. - "Does sim imply real?" → a stated sim-to-real gap, not an implied zero. - "Is the baseline fair?" → same-platform baseline with comparable tuning. ## Channel 2: the camera-ready revision When the decision is accept (often with requested changes), the meta-review is your instruction set. Integrate its asks without inflating the contributio

What's inside
Steps it walks through
  1. Channel 1: pre-answer before you submit
  2. Channel 2: the camera-ready revision
  3. Channel 3: RA-L response letters and resubmission memos
  4. Micro-example: turning a rejection into a plan
  5. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the iros-author-response skill do?

Use when responding to IROS reviews given the traditional no-rebuttal model — pre-answering objections in the paper and video before submission, addressing the meta-review through camera-ready edits, writing RA-L response letters for the journal pathway, and drafting reject-to-ICRA/CoRL/RA-L resubmission memos under double-anonymous rules.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-author-response --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.

Where does this skill come from?

From brycewang-stanford/Awesome-Journal-Skills, a repository with 909 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.

Is a popular skill a good skill?

Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.

Keep going