Table Fit
asgeirtj/system_prompts_leaks
Keep a Markdown table readable in a narrow terminal of about 100 display columns - a wide table or one carrying prose in its cells wraps into unreadable ragged rows.
A skill your agent uses 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…
MITAuto-check passed
Install Iros Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-topic-selection --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/IROS-Skills/skills/iros-topic-selection .claude/skills/iros-topic-selection && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "iros-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selection into .claude/skills/iros-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-topic-selection", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selectionType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-topic-selection --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .agents/skills && cp -r skills-src/IROS-Skills/skills/iros-topic-selection .agents/skills/iros-topic-selection && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "iros-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selection into .agents/skills/iros-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-topic-selection", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-topic-selection --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/IROS-Skills/skills/iros-topic-selection .cursor/skills/iros-topic-selection && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "iros-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selection into .cursor/skills/iros-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-topic-selection", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/brycewang-stanford/Awesome-Journal-Skills.git --path IROS-Skills/skills/iros-topic-selection--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-topic-selection --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/IROS-Skills/skills/iros-topic-selection .gemini/skills/iros-topic-selection && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "iros-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selection into .gemini/skills/iros-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-topic-selection", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-topic-selectionInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .github/skills && cp -r skills-src/IROS-Skills/skills/iros-topic-selection .github/skills/iros-topic-selection && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "iros-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selection into .github/skills/iros-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-topic-selection", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills iros-topic-selection --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/IROS-Skills/skills/iros-topic-selection .opencode/skills/iros-topic-selection && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "iros-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/IROS-Skills/skills/iros-topic-selection into .opencode/skills/iros-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "iros-topic-selection", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
iros-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 501 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses 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…
- Deciding whether a project is a strong IROS fit
- SKILL.md covers Fit test, Fit signal table, Vignette: where a… and Sharpening moves before…, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Routing among ICRA
What it does
Iros Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Deciding whether a project is a strong IROS fit
- Routing among ICRA
- CASE from IROSs seat on the fall IEEE/RSJ calendar
- Identifying the integrated-system contribution and its embodiment constraint
Example prompts
- “/iros-topic-selection”
What it can do on your machine
Read from SKILL.md and the folder at commit 932eb23. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Iros Topic Selection loads about 1.1k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 501 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from brycewang-stanford/Awesome-Journal-Skills at commit 932eb23, republished under its MIT licence (© brycewang-stanford). 501 words, ~1,145 tokens.
Download SKILL.mdSave it as
.claude/skills/iros-topic-selection/SKILL.md (or your agent's skills folder).- name
- iros-topic-selection
- description
- 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.
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 the work wants journal review and revision, then optionally a conference presentation via the transfer window.
- Route to HRI / RO-MAN for interaction studies with human-subjects methodology, and to CASE for automation-science and factory-scale problems.
Fit signal table
| Signal in the project | IROS reading |
|---|---|
| A system that runs on real hardware under a compute/power/latency budget | Core fit — the house genre |
| Perception + planning + control integrated and evaluated end to end | Core fit |
| A single foundational theorem or model, science-first, best with rebuttal | Better served at RSS |
| A learning algorithm whose novelty carries the paper, robot as testbed | Better served at CoRL |
| A polished demo with no trials, resets, or failure analysis | Not yet IROS-shaped — build evidence |
| Journal-length exposition or need for revision cycles | RA-L or T-RO, then transfer to present |
Show full SKILL.md (200 more words)Show less
Vignette: where a legged-locomotion project goes
A project delivers a controller that keeps a quadruped upright on loose gravel, on the robot, with trial counts and a failure taxonomy. IROS reading: strong fit — an integrated system meeting a terrain constraint with embodied evidence. Strip the hardware and keep only a simulation policy-learning result, and it drifts toward CoRL; distill it to one provable stability claim wanting single-track scrutiny, and RSS becomes the better home; grow it into a journal-length treatment with revisions, and RA-L or T-RO fits, after which the transfer window can still put it on an IROS stage.
Sharpening moves before committing
- Name the embodiment constraint the system respects — onboard compute, power budget, sensor noise, contact uncertainty, or real-time latency. If nothing physical constrains the design, the IROS framing is thin.
- Confirm the argument fits the body alone: IROS has no supplementary PDF, so a system that only makes sense with an appendix is mis-sized.
- Verify you can produce embodied evidence — real trials, resets, failures, and a stated sim-to-real gap — not just a curve or a single hero run.
- Robotics program emphasis drifts between cycles and cities; scan the current CFP topic list before final routing.
Quick router:
system on real hardware under a physical constraint? ---> IROS (or ICRA by season)
single foundational science claim, wants rebuttal? ----> RSS
the learning method is the contribution? -------------> CoRL
wants journal review + revisions? --------------------> RA-L / T-RO (then transfer to present)Output format
[Fit] strong IROS / possible IROS / better elsewhere
[Best venue] IROS / ICRA / RSS / CoRL / RA-L / T-RO / HRI / CASE / other
[System sentence] <one sentence naming the integrated system>
[Embodiment constraint] <compute / power / latency / contact / sensing>
[Top rejection risk] <evidence / integration / novelty / scope>
[Next action] <build evidence, reframe, or switch venue>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in IROS-Skills/skills/iros-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Iros Topic Selection next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Iros Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Table Fitasgeirtj/system_prompts_leaks | 69k | — | ~772 | Automated safety check: Pass | CC0-1.0 | |
| Furniture Fit Checkpascalorg/editor | 25k | — | ~5.1k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 577 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None |
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Topics
ZimoLiao/scholaraio
A skill your agent uses when the user asks about research themes, topic distribution, BERTopic clustering, topic overview, topic papers, topic merges, or HTML topic visualizations.
Topic Modeling
brycewang-stanford/Auto-Empirical-Research-Skills
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Bestblogs Topic
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A skill your agent uses when the user asks about a specific topic, subject area, or wants to explore curated topic pages on BestBlogs.
Fitness Program
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A full pipeline where an agent team collaborates to generate everything from goal-based fitness program design to progress tracking templates.
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Questions about Iros Topic Selection
What does Iros Topic Selection do?
A skill your agent uses 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…. Iros Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. 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.
When should I use Iros Topic Selection?
Iros Topic Selection fits situations like: deciding whether a project is a strong IROS fit; routing among ICRA; CASE from IROSs seat on the fall IEEE/RSJ calendar; identifying the integrated-system contribution and its embodiment constraint.
How do I install Iros Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a claude-code`. Or copy the skill folder (IROS-Skills/skills/iros-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/iros-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Iros Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a codex`. Or copy the skill folder (IROS-Skills/skills/iros-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/iros-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Iros Topic Selection in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill iros-topic-selection -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/iros-topic-selection, .gemini/skills/iros-topic-selection, .github/skills/iros-topic-selection and .opencode/skills/iros-topic-selection in your project.
What does Iros Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Iros Topic Selection is instructions for the agent only.
Does Iros Topic Selection access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Iros Topic Selection safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Iros Topic Selection use?
Iros Topic Selection is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Iros Topic Selection use?
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Iros Topic Selection?
Skills that share tags, products or a category with Iros Topic Selection: Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Furniture Fit Check (pascalorg/editor, 25k stars), Topics (ZimoLiao/scholaraio, 577 stars) and Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Iros Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 GitHub stars. The repository holds 2,387 skills in this directory. The repository was last updated on September 27, 2026.
Source: brycewang-stanford/Awesome-Journal-Skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.