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 project belongs at VLDB and in which PVLDB category, applying the data-management-primitive test, choosing among Regular, EA&B, Scalable Data Science…
MITAuto-check passed
Install Vldb Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-topic-selection .claude/skills/vldb-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 "vldb-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-topic-selection into .claude/skills/vldb-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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/VLDB-Skills/skills/vldb-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 vldb-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-topic-selection .agents/skills/vldb-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 "vldb-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-topic-selection into .agents/skills/vldb-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 vldb-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-topic-selection .cursor/skills/vldb-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 "vldb-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-topic-selection into .cursor/skills/vldb-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 VLDB-Skills/skills/vldb-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 vldb-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills vldb-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/VLDB-Skills/skills/vldb-topic-selection .gemini/skills/vldb-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 "vldb-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-topic-selection into .gemini/skills/vldb-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 vldb-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 vldb-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/VLDB-Skills/skills/vldb-topic-selection .github/skills/vldb-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 "vldb-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-topic-selection into .github/skills/vldb-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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 vldb-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 vldb-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/VLDB-Skills/skills/vldb-topic-selection .opencode/skills/vldb-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 "vldb-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/VLDB-Skills/skills/vldb-topic-selection into .opencode/skills/vldb-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "vldb-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
vldb-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 416 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 VLDB and in which PVLDB category, applying the data-management-primitive test, choosing among Regular, EA&B, Scalable Data Science…
- Deciding whether a project belongs at VLDB and in which PVLDB category
- SKILL.md covers The primitive test, Category routing inside PVLDB, Neighborhood routing and Commitment checklist, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Applying the data-management-primitive test
What it does
Vldb Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at VLDB and in which PVLDB category, applying the data-management-primitive test, choosing among Regular, EA&B, Scalable Data Science, and Vision papers, and routing against SIGMOD, ICDE, CIDR, EDBT, PODS, KDD, systems venues, and The VLDB Journal.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
The repository describes itself as: Journal-specific Claude Code/Codex skill packs covering mainstream journals — AER, QJE, Nature, Cell, 管理世界, 经济研究 & 200+ more — your fast track to getting published. ｜ 覆盖主流期刊的… The licence is MIT.
When your agent uses it
- Deciding whether a project belongs at VLDB and in which PVLDB category
- Applying the data-management-primitive test
- Choosing among Regular
- Scalable Data Science
Example prompts
- “/vldb-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
Vldb Topic Selection loads about 1.1k tokens when it runs. Until then it costs about 78 tokens; SKILL.md has 416 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). 416 words, ~1,050 tokens.
Download SKILL.mdSave it as
.claude/skills/vldb-topic-selection/SKILL.md (or your agent's skills folder).- name
- vldb-topic-selection
- description
- Use when deciding whether a project belongs at VLDB and in which PVLDB category, applying the data-management-primitive test, choosing among Regular, EA&B, Scalable Data Science, and Vision papers, and routing against SIGMOD, ICDE, CIDR, EDBT, PODS, KDD, systems venues, and The VLDB Journal.
VLDB Topic Selection
Use this before a line is written. Two decisions hide in "let's send it to VLDB": whether the work is a data-management contribution at all, and which PVLDB category gives it the friendliest reviewer expectations.
The primitive test
VLDB rewards work whose core object is a data-management primitive: storage layout, index, query optimization or execution, transaction and consistency machinery, data integration and cleaning, streaming state, or the data infrastructure under ML. Two probes:
- Strip the application narrative. Is what remains a reusable mechanism for managing data at scale? If what remains is a model architecture or an application result, the primitive is missing.
- Would the evaluation chapter naturally measure throughput, latency, scalability, or result quality on data systems? If the natural evaluation is task accuracy alone, an ML or applied venue fits better.
Category routing inside PVLDB
| Your situation | Category | Watch out |
|---|---|---|
| New mechanism + built system + systems evidence | Regular Research (12 pp) | The default; full evaluation burden |
| Rigorous measurement of existing systems, no new system | EA&B (12 pp) | Reproducibility evaluation is mandatory; conclusions must generalize |
| Scale-forward data-science pipeline, practice first | Scalable Data Science (8 pp) | Must still show the data-management lesson, not just an application win |
| Argued agenda without a full system yet | Vision (6 pp) | Small budget; needs a genuinely new direction, not a survey |
Category budgets and continuation for the live volume: verify on the guidelines page before committing (see the source map's 待核实 ledger).
Show full SKILL.md (176 more words)Show less
Neighborhood routing
| Signal in the project | Better home |
|---|---|
| Quarterly-round rhythm preferred; identical scope | SIGMOD (PACMMOD rounds) — the closest sibling; pick by calendar fit and portfolio, not prestige folklore |
| Formal results: complexity, expressiveness, bounds | PODS or ICDT |
| Provocative architecture argument, prototype-grade evidence | CIDR |
| Solid engineering contribution, broader engineering scope | ICDE or EDBT |
| Mining/learning contribution where data infra is incidental | KDD or an ML venue |
| OS/network mechanism that happens to touch storage | SOSP/OSDI, NSDI, EuroSys |
| Outgrown 12 pages; wants archival depth | The VLDB Journal or TODS |
| Deployed production system, lessons-forward | VLDB industrial track (separate call) |
The practical VLDB-vs-SIGMOD tiebreaker in this collection's experience: PVLDB's monthly gate and three-month revision suit projects whose evidence matures unpredictably; SIGMOD's fixed rounds suit groups that plan in quarters. Scope overlap is nearly total.
Commitment checklist
[ ] Primitive named in one sentence, no application words needed
[ ] Category chosen; its page budget fits the evidence plan
[ ] The one plot that would convince a builder is specified
[ ] Nearest three prior systems identified (see vldb-related-work)
[ ] If EA&B: willing and able to hand everything to the repro committee
[ ] Live volume's topics-of-interest list scanned for explicit fitRe-route triggers mid-project
- The system never gets built → Vision now, or CIDR.
- The interesting output became the measurement study → EA&B, embrace it.
- The contribution drifted into the model, not the data path → ML venue.
- Twelve pages cannot hold the proofs → PODS split or journal lane.
Output format
[Primitive] <one sentence> / absent (re-route)
[Category] regular / EA&B / SDS / vision — with page-budget check
[Venue ranking] <top choice + two alternates, one reason each>
[Convincer plot] <the decisive figure, described>
[Risk] <novelty / evidence scale / fit — the one that kills it>
[Next action] <build, measure, reframe, or switch venue>© brycewang-stanford, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
Just SKILL.md in VLDB-Skills/skills/vldb-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Vldb 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 |
|---|---|---|---|---|---|---|
| Vldb Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | 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 | |
| Pubmed Topic Recommendaipoch/medical-research-skills | 2k | — | ~1.9k | 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。
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.
TiXL UI Topic Doc Writer
tixl3d/tixl
Fills in empty embedded help text for TiXL's UI topics by distilling the maintainer's own video explanations into short, user-facing doc entries.
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Questions about Vldb Topic Selection
What does Vldb Topic Selection do?
A skill your agent uses when deciding whether a project belongs at VLDB and in which PVLDB category, applying the data-management-primitive test, choosing among Regular, EA&B, Scalable Data Science…. Vldb Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project belongs at VLDB and in which PVLDB category, applying the data-management-primitive test, choosing among Regular, EA&B, Scalable Data Science, and Vision papers, and routing against SIGMOD, ICDE, CIDR, EDBT, PODS, KDD, systems venues, and The VLDB Journal.
When should I use Vldb Topic Selection?
Vldb Topic Selection fits situations like: deciding whether a project belongs at VLDB and in which PVLDB category; applying the data-management-primitive test; choosing among Regular; scalable Data Science.
How do I install Vldb Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-topic-selection -a claude-code`. Or copy the skill folder (VLDB-Skills/skills/vldb-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/vldb-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Vldb Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill vldb-topic-selection -a codex`. Or copy the skill folder (VLDB-Skills/skills/vldb-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/vldb-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Vldb 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 vldb-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/vldb-topic-selection, .gemini/skills/vldb-topic-selection, .github/skills/vldb-topic-selection and .opencode/skills/vldb-topic-selection in your project.
What does Vldb Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Vldb Topic Selection is instructions for the agent only.
Does Vldb 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 Vldb 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 Vldb Topic Selection use?
Vldb 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 Vldb Topic Selection use?
About 1.1k tokens (SKILL.md is roughly 4.2k 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 Vldb Topic Selection?
Skills that share tags, products or a category with Vldb 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 Vldb 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.