Scientific Figure Making
ChenLiu-1996/figures4papers
Covers publication-ready matplotlib figures for academic papers, slides, and reports—bars, trends, scatter, heatmaps, and multi-panel layouts—with this…
A skill your agent uses when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT…
Install Icml Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-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/ICML-Skills/skills/icml-topic-selection .claude/skills/icml-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 "icml-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-topic-selection into .claude/skills/icml-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-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/ICML-Skills/skills/icml-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 icml-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-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/ICML-Skills/skills/icml-topic-selection .agents/skills/icml-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 "icml-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-topic-selection into .agents/skills/icml-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-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 icml-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-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/ICML-Skills/skills/icml-topic-selection .cursor/skills/icml-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 "icml-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-topic-selection into .cursor/skills/icml-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-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 ICML-Skills/skills/icml-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 icml-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills icml-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/ICML-Skills/skills/icml-topic-selection .gemini/skills/icml-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 "icml-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-topic-selection into .gemini/skills/icml-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-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 icml-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 icml-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/ICML-Skills/skills/icml-topic-selection .github/skills/icml-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 "icml-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-topic-selection into .github/skills/icml-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-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 icml-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 icml-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/ICML-Skills/skills/icml-topic-selection .opencode/skills/icml-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 "icml-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/ICML-Skills/skills/icml-topic-selection into .opencode/skills/icml-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "icml-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
icml-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~871 tokens
- SKILL.md length
- 365 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 manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT…
- Deciding whether a manuscript fits ICML
- SKILL.md covers Strong fit, Weak fit, Routing decisions and Fit-versus-reroute table, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Choosing the main research track versus the ICML Position Papers track
What it does
Icml Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT, MLSys, TMLR, JMLR), or rerouting an ML paper based on its contribution type, strength of evidence, theory-versus-empirical balance, and interest to the broad ICML machine-learning community. Use before committing effort to an ICML submission.
Its SKILL.md is about 870 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Data & Analytics, covering Scientific writing and Machine learning. 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 manuscript fits ICML
- Choosing the main research track versus the ICML Position Papers track
- Another venue (NeurIPS
- Rerouting an ML paper based on its contribution type
Example prompts
- “/icml-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
Icml Topic Selection loads about 871 tokens when it runs. Until then it costs about 109 tokens; SKILL.md has 365 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). 365 words, ~871 tokens.
Download SKILL.mdSave it as
.claude/skills/icml-topic-selection/SKILL.md (or your agent's skills folder).- name
- icml-topic-selection
- description
- Use when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT, MLSys, TMLR, JMLR), or rerouting an ML paper based on its contribution type, strength of evidence, theory-versus-empirical balance, and interest to the broad ICML machine-learning community. Use before committing effort to an ICML submission.
ICML Topic Selection
Use this before committing to ICML. ICML rewards original, rigorous machine-learning research of significant interest to the ML community. It is not the best route for every AI application or position argument.
Strong fit
- A core ML method, theory, optimization, probabilistic model, RL algorithm, evaluation method, systems contribution, or trustworthy-ML result.
- A use-inspired paper where the ML technique, evaluation, or insight is itself important to the ML community.
- A theory paper with clear assumptions and meaningful implications.
- An empirical study that improves how ML is evaluated, reproduced, scaled, or understood.
- A paper that can show soundness, originality, significance, clarity, and reproducibility within ICML's format.
Weak fit
- A domain deployment with little ML novelty.
- A benchmark win without mechanism or fair baselines.
- A position or argument paper better suited to the ICML Position Papers track.
- A replication, survey, dataset report, or engineering system better matched to another venue.
- A paper that needs more than appendices or supplement to make the main contribution intelligible.
Routing decisions
- Main-track ICML: rigorous ML contribution with strong evidence.
- Position Papers: thesis-driven argument about the field rather than a standard research result.
- NeurIPS/ICLR/AISTATS/UAI/COLT/MLSys: choose based on theory, representation learning, statistics, uncertainty, learning theory, or systems emphasis.
- TMLR/JMLR: choose for journal-style depth, long revision cycles, or results needing more space.
Show full SKILL.md (150 more words)Show less
Fit-versus-reroute table
| Manuscript shape | ICML verdict | Better route if not ICML |
|---|---|---|
| New method with theory plus tuned benchmarks | Strong main-track fit | - |
| Pure learning-theory result, no experiments | Fits if significant | COLT for theory depth |
| Field-level argument or call for rigor | Reroute | ICML Position Papers track |
| Application with little ML novelty | Weak | Domain venue or applied track |
| Long result needing more than 8 pages | Reconsider | TMLR or JMLR |
Worked vignette: where does the optimizer paper go
A new adaptive-step method has a non-convex convergence theorem and deep-learning benchmarks. This is a textbook ICML main-track fit because the ML mechanism, the rate, and the empirical gain are all of broad interest. If the same authors instead wrote an essay arguing the community over-relies on adaptive methods, that belongs in the Position Papers track, which uses a separate call and OpenReview site; check the current year's CFP for both tracks before deciding.
Output format
[Fit] High / Medium / Low
[Recommended route] ICML main / ICML position / workshop / another conference / journal
[Contribution type] method / theory / evaluation / systems / trustworthy ML / application-driven / position
[Why ICML] <one sentence>
[Upgrade needed] <evidence, framing, related work, artifacts, impact, or reroute>© 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 ICML-Skills/skills/icml-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Icml 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 |
|---|---|---|---|---|---|---|
| Icml Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~871 | Automated safety check: Pass | MIT | |
| Scientific Figure MakingChenLiu-1996/figures4papers | 8.2k | — | ~557 | Automated safety check: Pass | Custom licence | |
| Lammps DeepmdHello-QM/catgo-LRG | 205 | 1 repos | ~1k | Automated safety check: Pass | AGPL-3.0 | |
| scikit-survival Time-to-Event Modelingdavila7/claude-code-templates | 32k | 12 repos | ~3.7k | Automated safety check: Pass | MIT | |
| Neuropixels AnalysisK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~5k | Automated safety check: Pass | MIT | |
| Molfeatdavila7/claude-code-templates | 32k | 10 repos | ~3.7k | Automated safety check: Pass | MIT |
Similar skills
Lammps Deepmd
Hello-QM/catgo-LRG
Run LAMMPS molecular dynamics with DeePMD-kit machine learning potentials.
scikit-survival Time-to-Event Modeling
davila7/claude-code-templates
Fits and evaluates survival models with scikit-survival: Cox models, Random Survival Forests, boosting, survival SVMs, concordance index, Brier score and competing risks.
Neuropixels Analysis
K-Dense-AI/scientific-agent-skills
Analyzes Neuropixels extracellular recordings end-to-end with SpikeInterface.
Molfeat
davila7/claude-code-templates
Molecular featurization for ML (100+ featurizers). An agent skill from davila7/claude-code-templates.
Icml
nanoAgentTeam/research-claw
ICML (International Conference on Machine Learning) paper formatting — activate when the user wants to submit to ICML, follow ICML template, or fix ICML format issues.
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Categories
Questions about Icml Topic Selection
What does Icml Topic Selection do?
A skill your agent uses when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT…. Icml Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a manuscript fits ICML, choosing the main research track versus the ICML Position Papers track or another venue (NeurIPS, ICLR, AISTATS, UAI, COLT, MLSys, TMLR, JMLR), or rerouting an ML paper based on its contribution type, strength of evidence, theory-versus-empirical balance, and interest to the broad ICML machine-learning community.
When should I use Icml Topic Selection?
Icml Topic Selection fits situations like: deciding whether a manuscript fits ICML; choosing the main research track versus the ICML Position Papers track; another venue (NeurIPS; rerouting an ML paper based on its contribution type.
How do I install Icml Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-topic-selection -a claude-code`. Or copy the skill folder (ICML-Skills/skills/icml-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/icml-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Icml Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill icml-topic-selection -a codex`. Or copy the skill folder (ICML-Skills/skills/icml-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/icml-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Icml 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 icml-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/icml-topic-selection, .gemini/skills/icml-topic-selection, .github/skills/icml-topic-selection and .opencode/skills/icml-topic-selection in your project.
What does Icml Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Icml Topic Selection is instructions for the agent only.
Does Icml 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 Icml 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 Icml Topic Selection use?
Icml 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 Icml Topic Selection use?
About 871 tokens (SKILL.md is roughly 3.5k 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 Icml Topic Selection?
Skills that share tags, products or a category with Icml Topic Selection: Scientific Figure Making (ChenLiu-1996/figures4papers, 8.2k stars), Lammps Deepmd (Hello-QM/catgo-LRG, 205 stars), scikit-survival Time-to-Event Modeling (davila7/claude-code-templates, 32k stars) and Neuropixels Analysis (K-Dense-AI/scientific-agent-skills, 48k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Icml Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,219 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.