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.
Agent skill
Webconf Topic Selection
by brycewang-stanford in brycewang-stanford/Awesome-Journal-Skills
A skill your agent uses when deciding whether a project belongs at the Web Conference (WWW) at all, which of the ten research tracks should review it, whether the short-paper or Web4Good lane fits…
MITAuto-check passed
Install Webconf Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill webconf-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills webconf-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/The-Web-Conference-Skills/skills/webconf-topic-selection .claude/skills/webconf-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 "webconf-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Web-Conference-Skills/skills/webconf-topic-selection into .claude/skills/webconf-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webconf-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/The-Web-Conference-Skills/skills/webconf-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 webconf-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills webconf-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/The-Web-Conference-Skills/skills/webconf-topic-selection .agents/skills/webconf-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 "webconf-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Web-Conference-Skills/skills/webconf-topic-selection into .agents/skills/webconf-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webconf-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 webconf-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills webconf-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/The-Web-Conference-Skills/skills/webconf-topic-selection .cursor/skills/webconf-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 "webconf-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Web-Conference-Skills/skills/webconf-topic-selection into .cursor/skills/webconf-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webconf-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 The-Web-Conference-Skills/skills/webconf-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 webconf-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills webconf-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/The-Web-Conference-Skills/skills/webconf-topic-selection .gemini/skills/webconf-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 "webconf-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Web-Conference-Skills/skills/webconf-topic-selection into .gemini/skills/webconf-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webconf-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 webconf-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 webconf-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/The-Web-Conference-Skills/skills/webconf-topic-selection .github/skills/webconf-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 "webconf-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Web-Conference-Skills/skills/webconf-topic-selection into .github/skills/webconf-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webconf-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 webconf-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 webconf-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/The-Web-Conference-Skills/skills/webconf-topic-selection .opencode/skills/webconf-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 "webconf-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/The-Web-Conference-Skills/skills/webconf-topic-selection into .opencode/skills/webconf-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "webconf-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
webconf-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.8k tokens
- SKILL.md length
- 751 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 belongs at the Web Conference (WWW) at all, which of the ten research tracks should review it, whether the short-paper or Web4Good lane fits…
- Works in 2 steps: The dressed-up ML paper: a general… → The homeless interdisciplinary paper:…
- Deciding whether a project belongs at the Web Conference (WWW) at all
- SKILL.md covers Decision 1: the web-nativeness…, Decision 2: track fit (2026…, Lane selection inside the venue and The two chronic misroutes, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Webconf Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at the Web Conference (WWW) at all, which of the ten research tracks should review it, whether the short-paper or Web4Good lane fits better, and when the work should instead route to WSDM, SIGIR, CIKM, KDD, ICWSM, WebSci, or an ML flagship.
Its SKILL.md is about 1.8k 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 belongs at the Web Conference (WWW) at all
- Which of the ten research tracks should review it
- Whether the short-paper
- Web4Good lane fits better
Example prompts
- “/webconf-topic-selection”
Workflow steps
2 steps, taken from the first numbered list in SKILL.md.
- The dressed-up ML paper: a general architecture with WWW formatting and one
- The homeless interdisciplinary paper: strong social-science finding, thin
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
Webconf Topic Selection loads about 1.8k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 751 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). 751 words, ~1,777 tokens.
Download SKILL.mdSave it as
.claude/skills/webconf-topic-selection/SKILL.md (or your agent's skills folder).- name
- webconf-topic-selection
- description
- Use when deciding whether a project belongs at the Web Conference (WWW) at all, which of the ten research tracks should review it, whether the short-paper or Web4Good lane fits better, and when the work should instead route to WSDM, SIGIR, CIKM, KDD, ICWSM, WebSci, or an ML flagship.
Web Conference Topic Selection
Two decisions, in order: is the work web-native, and which track's reviewer pool should judge it. Both are made by the authors, both are effectively irreversible at the deadline, and the second is as consequential as the first because the venue reviews inside tracks.
Decision 1: the web-nativeness test
Ask: if the Web's specific structure disappeared, would this contribution still make sense? Web-native work depends on at least one of: open hypertext and link structure; platform mechanics and incentives; live, adversarial, user-generated content; web-scale heterogeneity; or the socio-technical coupling of users and algorithms. A generic model that merely evaluates on a web dataset fails the test — the dataset is swappable, so an ML venue's pool serves it better.
Web-native? -> route
Contribution needs link/platform/user -> Web Conference candidate; go to
structure to exist Decision 2
Contribution is a general method; web -> NeurIPS/ICML/ICLR or KDD, cite
data is one evaluation among many web results as evidence
Contribution is about people/society, -> ICWSM or WebSci if measurement/
computation is instrumental interdisciplinarity dominates
Contribution is retrieval effectiveness -> SIGIR first; Web Conference if the
per se open-web setting changes the problem
Contribution is mining methodology with -> WSDM (methods-first) or KDD
modest web specificity (mining/deployment-first)
Contribution is a deployed web system's -> Web Conference Industry track, not
practice lessons the research tracksDecision 2: track fit (2026 lineup)
The 2026 research tracks, with the question each pool is primed to ask:
| Track (2026) | The pool's primary question |
|---|---|
| Economics, online markets and human computation | Are incentives/welfare modeled, not just predicted? |
| Graph algorithms and modeling for the Web | Does the graph method respect web-graph properties? |
| Responsible Web | Are harms, fairness, or governance the contribution? |
| Search and retrieval-augmented AI | What beats strong current retrieval/RAG baselines? |
| Security and privacy | Is there a real threat model and adversary? |
| Semantics and knowledge | Does it advance KGs/ontologies/structured data on the web? |
| Social networks and social media | Is the social measurement or model construct-valid? |
| Systems and infrastructure (Web, mobile, WoT) | Does it hold under realistic load/deployment? |
| User modeling, personalization and recommendation | Is the personalization gain real and leak-free? |
| Web mining and content analysis | Is the extracted signal novel and robust at scale? |
Tie-breaks: pick the track whose evidence you actually have, not whose name flatters the abstract. A RAG-for-recommendation paper with strong offline ranking tables but no retrieval-baseline sweep survives better in "User modeling ..." than in "Search and retrieval-augmented AI." Track names are re-cut most editions — confirm the current list before deciding, and remember the cap: at most 7 submissions per author across all research tracks in 2026.
Lane selection inside the venue
- Full research paper (8+refs+appendix ≤ 12 pages): a complete evidence program. The default.
- Short paper (4 pages incl. references in 2026; main proceedings): one sharp idea with focused evidence; the later deadline (+6 weeks in 2026) is a schedule fact, not a quality discount.
- Web4Good (2026 special track; main proceedings): work whose center is measurable societal benefit; do not spin ordinary work into it.
- Industry track: deployment truth over methodological novelty; different platform (OpenReview in 2026) and reviewer expectations.
- Workshops (companion proceedings): early-stage or community-building work.
Show full SKILL.md (331 more words)Show less
The two chronic misroutes
- The dressed-up ML paper: a general architecture with WWW formatting and one web dataset. Track panels detect it with the swappability question, and the review that follows ("better suited to a specialized venue") wastes a year. Route it to the ML flagship and cite the web experiment as evidence there.
- The homeless interdisciplinary paper: strong social-science finding, thin computational novelty, submitted to a methods-leaning track. It needed "Social networks and social media" (measurement-tolerant) or ICWSM. The fix is pool choice, not more models.
Boundary cases of the current era
- LLM/RAG papers. The venue added "Search and retrieval-augmented AI" as a 2026 track, so LLM work is welcome — when the Web is load-bearing: retrieval over live/adversarial corpora, LLM-generated content polluting web ecosystems, agents navigating real sites. An LLM fine-tuning method evaluated on static QA benchmarks remains an ML-venue paper wearing a web costume.
- Dataset and benchmark contributions. The 2026 lineup had no dedicated resource track (unlike some earlier editions and unlike KDD's separate datasets-and-benchmarks track); a dataset paper competes inside a topical track on the strength of its measurement or enabling analysis. Check the current edition's calls before assuming either way.
- Web3/blockchain, WoT, and mobile. In 2026 these lived inside "Systems and infrastructure for Web, mobile, and WoT" and the economics track rather than as standalone tracks — evidence expectations follow the host track, not the subfield's own conferences.
- Ethics-centered work. If harms analysis is the contribution, "Responsible Web" is the pool primed for it; if harms are one section of a methods paper, stay in the methods track and let the ethics paragraph do its job.
Commitment checklist
- One-sentence web-native mechanism written (it becomes page 1 —
webconf-writing-style). - Track chosen by evidence held; second-choice track named in case the lineup changes at the portal.
- Lane chosen (full/short/Web4Good/industry/workshop) with the calendar
(
webconf-workflow) in view. - Per-author submission counts across the team checked against the cap.
- The nearest sibling-venue alternative named, so the team knows its plan B.
Output format
[Web-native] yes: <mechanism> / no: <reroute target>
[Track] <primary> (evidence basis); fallback <secondary>
[Lane] full / short / Web4Good / industry / workshop
[Misroute risks] <dressed-up ML / homeless interdisciplinary / track mismatch>
[Plan B] <sibling venue + what reframing it would need>© 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 The-Web-Conference-Skills/skills/webconf-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Webconf 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 |
|---|---|---|---|---|---|---|
| Webconf Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.8k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 576 | — | ~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 | |
| Zsxq Topicitwanger/toBeBetterJavaer | 18k | — | ~564 | Automated safety check: Pass | None | |
| Ccfddl Conference Updateccfddl/ccf-deadlines | 9.4k | — | ~2.9k | Automated safety check: Pass | MIT |
Similar skills
Topic Modeling
brycewang-stanford/Auto-Empirical-Research-Skills
Structural topic modeling: STM spec, topic count, coherence-exclusivity.
Bestblogs Topic
ginobefun/BestBlogs
A skill your agent uses when the user asks about a specific topic, subject area, or wants to explore curated topic pages on BestBlogs.
Zsxq Topic
itwanger/toBeBetterJavaer
知识星球主题管理：搜索主题、查看主题详情、发布帖子、编辑主题、发表评论、回复某条评论（楼中楼）、回答提问、删除主题；通过 api call 查看主题评论列表、设置精华、设置标签、查看自己提的问题与已回答记录。当用户需要查找内容、发帖、编辑主题、评论、回复评论、回答问题、删除主题、查看主题评论、查看自己的提问记录、或管理主题精华和标签时使用。
Ccfddl Conference Update
ccfddl/ccf-deadlines
Add the latest conference edition or newly announced deadline information to ccfddl/ccf-deadlines.
Pubmed Topic Recommend
aipoch/medical-research-skills
Generate ~5 actionable research topic recommendations by querying PubMed E-utilities; use when a user provides a research direction/constraints and needs evidence-backed topic ideas quickly.
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Questions about Webconf Topic Selection
What does Webconf Topic Selection do?
A skill your agent uses when deciding whether a project belongs at the Web Conference (WWW) at all, which of the ten research tracks should review it, whether the short-paper or Web4Good lane fits…. Webconf Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at the Web Conference (WWW) at all, which of the ten research tracks should review it, whether the short-paper or Web4Good lane fits better, and when the work should instead route to WSDM, SIGIR, CIKM, KDD, ICWSM, WebSci, or an ML flagship.
When should I use Webconf Topic Selection?
Webconf Topic Selection fits situations like: deciding whether a project belongs at the Web Conference (WWW) at all; which of the ten research tracks should review it; whether the short-paper; web4Good lane fits better.
How do I install Webconf Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill webconf-topic-selection -a claude-code`. Or copy the skill folder (The-Web-Conference-Skills/skills/webconf-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/webconf-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Webconf Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill webconf-topic-selection -a codex`. Or copy the skill folder (The-Web-Conference-Skills/skills/webconf-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/webconf-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Webconf 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 webconf-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/webconf-topic-selection, .gemini/skills/webconf-topic-selection, .github/skills/webconf-topic-selection and .opencode/skills/webconf-topic-selection in your project.
What does Webconf Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Webconf Topic Selection is instructions for the agent only.
Does Webconf 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 Webconf 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 Webconf Topic Selection use?
Webconf 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 Webconf Topic Selection use?
About 1.8k tokens (SKILL.md is roughly 7.1k 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 Webconf Topic Selection?
Skills that share tags, products or a category with Webconf Topic Selection: Topics (ZimoLiao/scholaraio, 576 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars), Bestblogs Topic (ginobefun/BestBlogs, 4k stars) and Zsxq Topic (itwanger/toBeBetterJavaer, 18k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Webconf 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.