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.
A skill your agent uses when deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems, data structures, and discrete mathematics with…
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Install Soda Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-topic-selection .claude/skills/soda-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 "soda-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-topic-selection into .claude/skills/soda-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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/SODA-Skills/skills/soda-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 soda-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-topic-selection .agents/skills/soda-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 "soda-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-topic-selection into .agents/skills/soda-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 soda-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-topic-selection .cursor/skills/soda-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 "soda-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-topic-selection into .cursor/skills/soda-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 SODA-Skills/skills/soda-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 soda-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills soda-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/SODA-Skills/skills/soda-topic-selection .gemini/skills/soda-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 "soda-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-topic-selection into .gemini/skills/soda-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 soda-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 soda-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/SODA-Skills/skills/soda-topic-selection .github/skills/soda-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 "soda-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-topic-selection into .github/skills/soda-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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 soda-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 soda-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/SODA-Skills/skills/soda-topic-selection .opencode/skills/soda-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 "soda-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/SODA-Skills/skills/soda-topic-selection into .opencode/skills/soda-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "soda-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
soda-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.7k tokens
- SKILL.md length
- 784 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 result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems, data structures, and discrete mathematics with…
- Works in 3 steps: Is there a problem with a bound? SODA… → Does the improvement need an expert to… → Is the technique discrete-algorithmic?…
- Deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems
- SKILL.md covers The three-question fit test, Routing map from SODA's seat, SODA-shaped in practice:… and Borderline cases, adjudicated, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Soda Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems, data structures, and discrete mathematics with quantitative progress — versus routing to STOC/FOCS, ESA, ICALP, ITCS, SOSA, ALENEX, SoCG, or a journal, judged from SODA's algorithms-first identity.
Its SKILL.md is about 1.7k 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 result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems
- Data structures
- Discrete mathematics with quantitative progress — versus routing to STOC/FOCS
- Judged from SODAs algorithms-first identity
Example prompts
- “/soda-topic-selection”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Is there a problem with a bound? SODA papers move a quantitative frontier
- Does the improvement need an expert to be appreciated? SODA's specialist
- Is the technique discrete-algorithmic? Combinatorial, graph-theoretic,
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
Soda Topic Selection loads about 1.7k tokens when it runs. Until then it costs about 86 tokens; SKILL.md has 784 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). 784 words, ~1,712 tokens.
Download SKILL.mdSave it as
.claude/skills/soda-topic-selection/SKILL.md (or your agent's skills folder).- name
- soda-topic-selection
- description
- Use when deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems, data structures, and discrete mathematics with quantitative progress — versus routing to STOC/FOCS, ESA, ICALP, ITCS, SOSA, ALENEX, SoCG, or a journal, judged from SODA's algorithms-first identity.
SODA Topic Selection
SODA's identity: the joint ACM-SIAM venue for the design and analysis of efficient algorithms and data structures for discrete problems, including the combinatorics and discrete mathematics that feed them, and admitting experimental validation alongside theory (SIAM SODA conference pages, checked 2026-07-08). The reviewing bench is the deepest algorithms-specialist pool of any annual venue — which is precisely the fit test: SODA rewards papers whose value is legible to algorithms experts as progress on concrete problems, not papers needing a general theory-of-computation audience or a systems audience.
The three-question fit test
- Is there a problem with a bound? SODA papers move a quantitative frontier: running time, space, approximation ratio, query complexity, update time, list size, competitive ratio. If your contribution cannot be stated as a before/after on some measure of some problem, the fit is doubtful.
- Does the improvement need an expert to be appreciated? SODA's specialist
bench is an advantage exactly when the answer is yes — a
logshaved off a bound that experts know is hard earns more at SODA than at a general venue where "only a log factor" is a slur. - Is the technique discrete-algorithmic? Combinatorial, graph-theoretic, geometric, algebraic, probabilistic — the toolbox of the community. A result proved entirely with, say, cryptographic machinery may be better read elsewhere even if it mentions running time.
Two of three is submission territory; the third question then picks the frame.
Routing map from SODA's seat
| Signal in the work | Consider instead | Why |
|---|---|---|
| The point is a new complexity-theoretic barrier or model | STOC / FOCS / CCC | Cross-area significance is their filter; SODA wants the algorithm |
| Bold new problem or model, modest technical depth | ITCS | Conceptual-first reviewing; SODA referees will ask for the bound |
| Solid algorithmic result, European-cycle timing or ESA-community topic | ESA / ICALP | Same community, different calendar seats |
| The contribution is that a known result becomes simple | SOSA (co-located, papers due August 6, 2026 for 2027) | Simplicity is SOSA's explicit mandate; at SODA it reads as non-novel |
| The contribution is implementation and measurement | ALENEX (co-located, due July 20, 2026) | Experiments are the reviewed object there (soda-experiments) |
| Computational geometry core | SoCG | Its own community and calendar, though SODA takes geometry too |
| Distributed / parallel model is the point | PODC / DISC / SPAA | Model-specialist audiences |
| Learning-theoretic sample/regret bounds | COLT / ALT | Statistical-learning reviewer pool |
| Result deserves 60 pages of record, no deadline pressure | SICOMP / JACM / ACM ToA / Algorithmica | Journals archive what conferences announce |
SODA-shaped in practice: verified exemplars
Recent best-paper-level SODA work shows the shape (verified via SIAM epubs and
institutional award announcements; details in resources/exemplars/library.md):
- Solving sparse linear systems faster than matrix multiplication (SODA 2021) — a named computational barrier crossed for a concrete problem class.
- Deterministic near-linear time minimum cut in weighted graphs (SODA 2024) — derandomizing a celebrated randomized bound: pure "problem with a bound."
- Breaking the metric voting distortion barrier (SODA 2024) — a stuck constant in social choice moved by combinatorial technique.
- Improved list size for folded Reed-Solomon codes (SODA 2025) — a parameter frontier in coding theory, an algorithms-adjacent lane SODA owns.
The pattern: named problem, stuck frontier, quantitative movement, discrete technique. Note what is absent: new models for their own sake, systems measurements, and philosophy.
Show full SKILL.md (258 more words)Show less
Borderline cases, adjudicated
Three recurring gray zones, with the deciding question for each:
- "My result is about a model, proved with algorithms." A new dynamic-graph adversary model plus matching bounds: if the bounds are the hard part and the model formalizes existing practice, SODA. If the model is the provocation and the bounds are demonstrations, ITCS. Deciding question: would experts cite this for the theorem or for the definition?
- "My result is a lower bound." Conditional hardness (SETH/3SUM/APSP-style) for a concrete problem is fully SODA-shaped — the frontier moves downward instead of upward, and the comparison table lists upper bounds you now match. Circuit or communication lower bounds whose interest is complexity-internal route to CCC/STOC/FOCS. Deciding question: does the bound speak to algorithm designers or to complexity theorists?
- "My result is both simpler and slightly faster." If the speedup stands on its own, SODA, with simplicity as a bonus paragraph. If the speedup is a log factor nobody was stuck on and the real value is a two-page proof of a known theorem, SOSA — where that is the entire point of the venue. Deciding question: delete the simplicity claim; is what remains publishable?
Anti-fit signals
Re-route if any of these describes the draft:
- The abstract's key sentence has no O(), no ratio, no complexity measure.
- The honest comparison table has no prior row (new problem: consider ITCS)
or your row doesn't beat any existing row (consider the journal of record).
- The proof's interest is a connection between fields, with the algorithmic
corollary routine (STOC/FOCS frame the connection better).
- The value is empirical dominance on real inputs (ALENEX).
- The value is that the proof fits on three pages (SOSA).Framing once fit is established
The same theorem often supports several frames; at SODA, lead with the problem lineage ("the complexity of X has been open since [Y]"), not the technique ("we introduce a new framework"). Technique-first framing at SODA invites the question "what does it buy?" — answer it in the title if possible: bound-carrying titles are quoted; framework-carrying titles are skimmed.
Output format
[Fit verdict] SODA-shaped / borderline / re-route
[Three-question score] <bound? expert-legible? discrete technique?>
[Route] <SODA, or named alternative with the deciding signal>
[Frame] <problem-lineage lead sentence for the abstract>
[Calendar note] <the live deadline this verdict implies (soda-workflow)>© 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 SODA-Skills/skills/soda-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Soda 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 |
|---|---|---|---|---|---|---|
| Soda Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.7k | 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 | |
| Add Shape Inferenceonnx/onnx | 22k | — | ~1.3k | Automated safety check: Pass | Apache-2.0 | |
| Acm Workshop On Hot Topics In Networksfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None |
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Zsxq Topic
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Questions about Soda Topic Selection
What does Soda Topic Selection do?
A skill your agent uses when deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems, data structures, and discrete mathematics with…. Soda Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems, data structures, and discrete mathematics with quantitative progress — versus routing to STOC/FOCS, ESA, ICALP, ITCS, SOSA, ALENEX, SoCG, or a journal, judged from SODA's algorithms-first identity.
When should I use Soda Topic Selection?
Soda Topic Selection fits situations like: deciding whether a result is SODA-shaped (ACM-SIAM Symposium on Discrete Algorithms) — concrete algorithmic problems; data structures; discrete mathematics with quantitative progress — versus routing to STOC/FOCS; judged from SODAs algorithms-first identity.
How do I install Soda Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-topic-selection -a claude-code`. Or copy the skill folder (SODA-Skills/skills/soda-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/soda-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Soda Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill soda-topic-selection -a codex`. Or copy the skill folder (SODA-Skills/skills/soda-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/soda-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Soda 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 soda-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/soda-topic-selection, .gemini/skills/soda-topic-selection, .github/skills/soda-topic-selection and .opencode/skills/soda-topic-selection in your project.
What does Soda Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Soda Topic Selection is instructions for the agent only.
Does Soda 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 Soda 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 Soda Topic Selection use?
Soda 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 Soda Topic Selection use?
About 1.7k tokens (SKILL.md is roughly 6.8k 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 Soda Topic Selection?
Skills that share tags, products or a category with Soda Topic Selection: Topics (ZimoLiao/scholaraio, 577 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Add Shape Inference (onnx/onnx, 22k stars) and Acm Workshop On Hot Topics In Networks (franklee16/academic-research-skills, 223 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Soda 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.