Esmfold2
JimLiu/science-skills
Biohub ESMFold2 / ESMFold2-Fast all-atom co-folding (Candido et al.
A skill your agent uses when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI…
Install Aaai Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-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/AAAI-Skills/skills/aaai-topic-selection .claude/skills/aaai-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 "aaai-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-topic-selection into .claude/skills/aaai-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-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/AAAI-Skills/skills/aaai-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 aaai-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-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/AAAI-Skills/skills/aaai-topic-selection .agents/skills/aaai-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 "aaai-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-topic-selection into .agents/skills/aaai-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-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 aaai-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-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/AAAI-Skills/skills/aaai-topic-selection .cursor/skills/aaai-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 "aaai-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-topic-selection into .cursor/skills/aaai-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-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 AAAI-Skills/skills/aaai-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 aaai-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills aaai-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/AAAI-Skills/skills/aaai-topic-selection .gemini/skills/aaai-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 "aaai-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-topic-selection into .gemini/skills/aaai-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-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 aaai-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 aaai-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/AAAI-Skills/skills/aaai-topic-selection .github/skills/aaai-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 "aaai-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-topic-selection into .github/skills/aaai-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-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 aaai-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 aaai-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/AAAI-Skills/skills/aaai-topic-selection .opencode/skills/aaai-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 "aaai-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/AAAI-Skills/skills/aaai-topic-selection into .opencode/skills/aaai-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "aaai-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
aaai-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.4k tokens
- SKILL.md length
- 672 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 AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI…
- Deciding whether a project is a strong AAAI submission across its broad AI scope
- SKILL.md covers Strong AAAI signals, Weak AAAI signals, Routing logic and Fit-versus-route table, plus 4 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Should be reframed
What it does
Aaai Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL, CVPR, KDD, CHI, ICRA, or another specialist venue.
Its SKILL.md is about 1.4k 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 AI & LLM Engineering, covering AI interpretability. 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 AAAI submission across its broad AI scope
- Should be reframed
- Routed to a dedicated track such as AI for Social Impact
- Should instead go to IJCAI
Example prompts
- “/aaai-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
Aaai Topic Selection loads about 1.4k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 672 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). 672 words, ~1,382 tokens.
Download SKILL.mdSave it as
.claude/skills/aaai-topic-selection/SKILL.md (or your agent's skills folder).- name
- aaai-topic-selection
- description
- Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL, CVPR, KDD, CHI, ICRA, or another specialist venue.
AAAI Topic Selection
Use this while the project is still movable. AAAI is broad across artificial intelligence, so a strong submission should make an AI contribution that is intelligible beyond a narrow subfield.
Strong AAAI signals
- Clear AI problem and contribution: method, theory, system, benchmark, dataset, evaluation, social impact, alignment, human-AI interaction, planning, reasoning, learning, NLP, vision, robotics, or knowledge representation.
- Evidence that supports a general AI claim, not only a local application result.
- Responsible treatment of ethics, safety, privacy, fairness, social impact, or misuse when the paper touches those areas.
- Reproducibility path strong enough for checklist scrutiny.
- Narrative clear enough for Phase 1 reviewers from adjacent AI areas.
Weak AAAI signals
- Pure application deployment with little AI insight.
- Benchmark bump without mechanism, analysis, or robust comparison.
- Closed system with no reviewable evidence.
- Paper better framed as statistics, NLP, vision, HCI, robotics, or systems for a specialist venue.
- Policy-sensitive claims with thin ethics or stakeholder analysis.
Routing logic
- Prefer IJCAI for broad AI work with an international AI community emphasis.
- Prefer NeurIPS, ICML, or ICLR for stronger ML method/theory or representation-learning framing.
- Prefer AISTATS or UAI for statistics, uncertainty, causal, or probabilistic emphasis.
- Prefer ACL, CVPR, KDD, CHI, ICRA, or systems venues when the contribution is domain-specific.
- Prefer a workshop if evidence is preliminary but the idea is timely.
Fit-versus-route table
AAAI's breadth is an asset only when the contribution reads as general AI, not a narrow benchmark result. Use the dominant signal to decide between AAAI and a specialist venue.
| Project shape | AAAI fit | Better route if not |
|---|---|---|
| New planning or KR mechanism | strong, core AAAI turf | UAI for pure uncertainty |
| ML method with broad insight | plausible | NeurIPS/ICML for deep theory |
| Domain deployment, thin AI | weak | KDD, CHI, or ICRA |
| Stakeholder-facing impact work | strong via AI for Social Impact | domain policy venue |
Broad-AI contribution stress test
Before routing to AAAI, rewrite the project in three forms. If any form collapses into a dataset name or a leaderboard delta, the submission needs reframing or a specialist venue.
| Stress-test form | Strong answer | Weak answer |
|---|---|---|
| One-sentence AI problem | names a general reasoning, learning, planning, representation, evaluation, alignment, or human-AI problem | names only an application domain |
| Contribution type | method, theory, benchmark, dataset, evaluation, system, social-impact analysis, or alignment intervention | "we apply model X to task Y" |
| Transfer argument | explains why the insight should matter across tasks, models, settings, or stakeholders | only says one benchmark improves |
| Evidence shape | mechanism, ablation, comparison, human/stakeholder evidence, or formal result tied to the claim | one table with no diagnostic support |
| Limitation | states where the approach should not be expected to work | hides the narrowness until the appendix |
If the strong answer is hard to write, do not force AAAI fit. Route the paper to the community whose reviewers naturally value the main evidence: ML method/theory, uncertainty/statistics, NLP, vision, robotics, HCI, systems, or the application domain.
Show full SKILL.md (195 more words)Show less
Route decision ledger
Keep a short ledger for borderline projects. It should contain:
- Dominant contribution: the one contribution type the paper wants to be judged on.
- Primary reviewer: the AAAI-adjacent reviewer who can fairly evaluate it.
- Secondary reviewer: the cross-area reviewer who must still understand the first page.
- Must-have evidence: the result, theorem, ablation, artifact, user/stakeholder evidence, or benchmark analysis without which AAAI fit fails.
- Better venue if missing: the specialist venue that becomes stronger if the must-have evidence cannot be added before submission.
Use the ledger to prevent ambiguous framing such as "AAAI because it is broad" or "specialist venue because reviewers will know the dataset." Broad scope is useful only when the claim is stated at the right abstraction level.
Worked vignette
A team has a fairness-aware allocation system for a city service. The AI insight is a constraint formulation, and the stakes are social. Walking the signals: the contribution generalizes beyond the one city (strong signal) and is policy-sensitive (needs stakeholder evidence). Verdict: AAAI fit is strong, routed to AI for Social Impact rather than the Main Track, with harm and stakeholder analysis treated as required evidence, not an afterthought.
Output format
[AAAI fit] strong / plausible / weak / no
[Track route] Main / AI for Social Impact / AI Alignment / other
[Core AI contribution] <one sentence>
[Evidence required] <experiment, theory, artifact, stakeholder analysis>
[Best venue route] AAAI / IJCAI / NeurIPS / ICML / ICLR / AISTATS / UAI / domain 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 AAAI-Skills/skills/aaai-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Aaai 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 |
|---|---|---|---|---|---|---|
| Aaai Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Esmfold2JimLiu/science-skills | 227 | 4 repos | ~2.5k | Automated safety check: Pass | Apache-2.0 | |
| ObliteratusRedWoodOG/Hermes-Desktop | 177 | 6 repos | ~3.8k | Automated safety check: Pass | MIT | |
| Sparse Autoencoder Training with SAELensOrchestra-Research/AI-Research-SKILLs | 13k | 6 repos | ~3.2k | Automated safety check: Pass | MIT | |
| TransformerLens InterpretabilityOrchestra-Research/AI-Research-SKILLs | 13k | 4 repos | ~3k | Automated safety check: Pass | MIT | |
| Nnsight Remote InterpretabilityOrchestra-Research/AI-Research-SKILLs | 13k | 3 repos | ~3.3k | Automated safety check: Pass | MIT |
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Orchestra-Research/AI-Research-SKILLs
Guides training and analyzing sparse autoencoders with SAELens to break neural network activations into interpretable features, including superposition and monosemanticity studies.
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Guides mechanistic interpretability work with TransformerLens: loading models, caching activations, using HookPoints, activation patching and attention-pattern analysis.
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Related
Categories
Questions about Aaai Topic Selection
What does Aaai Topic Selection do?
A skill your agent uses when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI…. Aaai Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is a strong AAAI submission across its broad AI scope, should be reframed or routed to a dedicated track such as AI for Social Impact or AI Alignment, or should instead go to IJCAI, NeurIPS, ICML, ICLR, AISTATS, UAI, ACL, CVPR, KDD, CHI, ICRA, or another specialist venue.
When should I use Aaai Topic Selection?
Aaai Topic Selection fits situations like: deciding whether a project is a strong AAAI submission across its broad AI scope; should be reframed; routed to a dedicated track such as AI for Social Impact; should instead go to IJCAI.
How do I install Aaai Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-topic-selection -a claude-code`. Or copy the skill folder (AAAI-Skills/skills/aaai-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/aaai-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Aaai Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill aaai-topic-selection -a codex`. Or copy the skill folder (AAAI-Skills/skills/aaai-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/aaai-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Aaai 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 aaai-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/aaai-topic-selection, .gemini/skills/aaai-topic-selection, .github/skills/aaai-topic-selection and .opencode/skills/aaai-topic-selection in your project.
What does Aaai Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Aaai Topic Selection is instructions for the agent only.
Does Aaai 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 Aaai 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 Aaai Topic Selection use?
Aaai 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 Aaai Topic Selection use?
About 1.4k tokens (SKILL.md is roughly 5.5k 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 Aaai Topic Selection?
Skills that share tags, products or a category with Aaai Topic Selection: Esmfold2 (JimLiu/science-skills, 227 stars), Obliteratus (RedWoodOG/Hermes-Desktop, 177 stars), Sparse Autoencoder Training with SAELens (Orchestra-Research/AI-Research-SKILLs, 13k stars) and TransformerLens Interpretability (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Aaai 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.