Agent skill

rss-topic-selection

Use when judging whether a robotics project fits RSS (Robotics: Science and Systems), the single-track selective venue whose bar is a scientific claim about robotics, and when routing instead toward ICRA, IROS, CoRL, HRI, WAFR, T-RO, or IJRR based on claim type, evidence shape, and audience.

brycew6m878★ · +32/wk · 1 repos on radarProfile →
claude-codeMIT
Install
npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-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: 7 KB
Bundled scripts: none
Path: RSS-Skills/skills/rss-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

# RSS Topic Selection Decide whether the project belongs at RSS before any writing starts. RSS is the deliberately small, single-track robotics conference run under the RSS Foundation: every accepted paper is presented to the entire audience, so the program committee selects for work the whole field should hear about. That structure creates the venue's distinctive question, and this skill applies

More from Awesome-Journal-Skills
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About this skill
What does the rss-topic-selection skill do?

Use when judging whether a robotics project fits RSS (Robotics: Science and Systems), the single-track selective venue whose bar is a scientific claim about robotics, and when routing instead toward ICRA, IROS, CoRL, HRI, WAFR, T-RO, or IJRR based on claim type, evidence shape, and audience.

How do I install it?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill rss-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.

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