Agent skill · Documentation

iros-topic-selection

Use when deciding whether a project is a strong IROS fit, routing among ICRA, RSS, CoRL, RA-L, T-RO, HRI, and CASE from IROS's seat on the fall IEEE/RSJ calendar, identifying the integrated-system contribution and its embodiment constraint, and sharpening the intelligent-robots-and-systems framing before writing begins.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection --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-topic-selection/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 Topic Selection Use this before writing. IROS is strongest for an **integrated intelligent system** — perception, estimation, planning, learning, or control working together on a robot — validated under a real embodiment constraint. The house question is not "is the idea novel?" but "does the system run, on stated hardware, and is that demonstrably hard?" ## Fit test - Prefer IROS when the contribution is a working system for perception-action integration, autonomy, navigation, manipulation, robot learning deployed on hardware, human-aware robotics, or fielded systems — and the embodiment (sensors, compute, power, latency) shapes the design. - Route to **ICRA** when the work is a fine automation/robotics contribution whose natural slot is the spring cycle; IROS and ICRA overlap heavily, so timing and program fit often decide. - Route to **RSS** when the contribution is a single, foundational, science-first claim that wants a single-track audience and a rebuttal, rather than deployed-system breadth. - Route to **CoRL** when the learning method *is* the contribution and robots are the testbed, more than the system integration being the point. - Route to **RA-L / T-RO** when th

What's inside
Steps it walks through
  1. Fit test
  2. Fit signal table
  3. Vignette: where a legged-locomotion project goes
  4. Sharpening moves before committing
  5. Output format
More from Awesome-Journal-Skills
All skills →
About this skill
What does the iros-topic-selection skill do?

Use when deciding whether a project is a strong IROS fit, routing among ICRA, RSS, CoRL, RA-L, T-RO, HRI, and CASE from IROS's seat on the fall IEEE/RSJ calendar, identifying the integrated-system contribution and its embodiment constraint, and sharpening the intelligent-robots-and-systems framing before writing begins.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection --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