A skill your agent uses when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM…

MITAuto-check passed

Install Cikm Topic Selection

skills CLI
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cikm-topic-selection -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cikm-topic-selection --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/brycewang-stanford/Awesome-Journal-Skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/CIKM-Skills/skills/cikm-topic-selection .claude/skills/cikm-topic-selection && rm -rf skills-src

Use ~/.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/

Facts

Skill name
cikm-topic-selection
GitHub stars
1.2k
Token cost
~1.8k tokens
SKILL.md length
924 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 fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM…

  • Deciding whether a project fits CIKM
  • SKILL.md covers The tri-community fit question, Honest calendar positioning, Sibling contrast table and Five-track fork (2026 lineup), plus 5 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • The tri-community ACM venue spanning information retrieval

What it does

Cikm Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.

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 fits CIKM
  • The tri-community ACM venue spanning information retrieval
  • Knowledge management/databases
  • Weighing CIKM against SIGIR

Example prompts

  • “/cikm-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

Cikm Topic Selection loads about 1.8k tokens when it runs. Until then it costs about 80 tokens; SKILL.md has 924 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~80
When it runs · the whole SKILL.md, loaded when a task matches
~1.8k

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). 924 words, ~1,808 tokens.

Download SKILL.mdSave it as .claude/skills/cikm-topic-selection/SKILL.md (or your agent's skills folder).
name
cikm-topic-selection
description
Use when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.

CIKM Topic Selection

CIKM is the room where three communities meet: information retrieval, data mining, and knowledge management with its database roots. Its sponsorship tells the story — ACM SIGIR (since 1993) plus SIGWEB (since 2006) — and its 2026 self-description spans information access, knowledge representation, data integration, and personalization (source map, checked 2026-07-08). Fit questions here are therefore different from single-community venues: the issue is rarely "is this in scope" and usually "is the breadth an advantage for this particular paper."

The tri-community fit question

Ask which communities the paper genuinely speaks to, then count:

  • Two or three lanes — a retrieval model built on a knowledge graph, a mining method whose output feeds a search or QA system, an entity-resolution pipeline with both database and IR evaluation. This is the CIKM sweet spot: the blended reviewer pool is an asset, because no single-community venue gives all lanes credit.
  • Exactly one lane, done deeply — pure ranking-model work, pure pattern-mining theory, pure query optimization. CIKM accepts such papers, but the specialist venue (SIGIR, KDD, SIGMOD/VLDB) usually offers sharper reviewers and more career signal. Choose CIKM deliberately, e.g., for the calendar, not by default.
  • Zero lanes — contributions about model architecture, vision, or generic NLP with an incidental retrieval experiment. Reframe or reroute; scope-mismatch reads fast at a venue whose name states its scope.

Honest calendar positioning

CIKM's May deadline and November meeting make it the information family's fall harvest: work that missed or matured past SIGIR's January gate, KDD's February cycle-2 gate, or that wants a decision before WSDM's August gate. Using CIKM as the next stop after a sibling rejection is normal community practice — but only after the prior reviews are actually absorbed. A resubmission with untouched weaknesses will meet a reviewer pool that overlaps heavily with the one that wrote those reviews.

Sibling contrast table

NeighborIts center of gravitySend the paper there instead when...
SIGIRRetrieval and its evaluation cultureRanking quality/IR evaluation is the entire contribution
KDDMining at scale; deployment evidence (ADS)The story is data-regime scale or a production launch
WSDMWeb/social interaction data, small selective single trackThe object of study is specifically web or social-web behavior
TheWebConfThe web as an artifact and ecosystemWeb standards, platforms, or web-scale measurement lead
SIGMOD/VLDBData systems internalsThe contribution is storage, indexing internals, or query processing
ISWC / KRSemantic-web formalisms; formal reasoningOntology languages or logic, not applied knowledge systems

The reverse routes matter too: knowledge-graph construction and reasoning for applications, heterogeneous-data integration, entity linking, and enterprise search — work each specialist venue treats as adjacent — is core CIKM territory.

Five-track fork (2026 lineup)

CIKM 2026 fields Full Research (≤10 pp incl. appendices), Short Research (≤4 pp), Applied Research (≤7 pp, requires practical-application evidence such as a system launch or data release), Resource (≤4 pp), and Demonstration (≤4 pp) tracks. Pick by the strongest honest artifact: a rounded method study → Full; one crisp finding → Short; a deployed system with launch evidence → Applied; a dataset/tool others will adopt → Resource; something a person can touch at a booth → Demo. The concurrent submission ban applies across venues, so the same contribution cannot hedge.

Show full SKILL.md (402 more words)Show less

Decision walk-through

A team built a temporal knowledge-graph completion model and wired it into an enterprise document-search assistant. As pure KG-embedding work it competes at scale venues against heavy theory; as pure search work the IR delta is modest. Framed as one system — completion quality and its measured effect on retrieval answers — it becomes a two-lane CIKM paper, with the deployment variant a plausible Applied Research submission if launch metrics exist. That reframing decision is the routing decision.

Scope vocabulary sanity check

The venue's name is a scope test you can run on your own abstract. Underline every noun phrase; a CIKM-shaped abstract naturally contains the venue's working vocabulary — retrieval, ranking, mining, knowledge graph, entities, integration, indexing, recommendation, query, corpus, metadata, provenance — because the paper is about information and knowledge objects. If the underlined terms are instead "architecture, layers, loss, benchmark, SOTA," the paper is currently written as a model paper that happens to touch information data, and either the framing or the venue should change. This check costs five minutes and predicts the most common CIKM review complaint: "unclear what this offers the information-management community specifically."

Prestige and career honesty

Advisors and hiring committees read CIKM correctly as a large, credible, first-tier-adjacent ACM venue — bigger-tent than SIGIR/KDD/WSDM, with more room for boundary work and applied contributions, and with genuine landmark papers in its back catalog (the exemplars library holds six, TAGME through BERT4Rec). Honest implications:

  • Choosing CIKM first is a positive strategy for boundary papers, resource papers, and applied systems — the audiences those papers need actually attend.
  • Choosing CIKM second, after a specialist-venue rejection, is routine and carries no stigma — but the paper must be revised, not merely reformatted, because reviewer pools overlap.
  • Choosing CIKM to avoid a specialist community's standards backfires: that community's reviewers are in the CIKM pool too, applying the same standards with less patience.

Timing as a tiebreaker

When fit is genuinely even between CIKM and a specialist sibling, let the calendar decide like a project manager: a result solid in March comfortably makes CIKM's May gate; the same result would wait until KDD's next cycle or SIGIR's January. Six months of shelf life is a real cost in fast-moving areas — LLM-adjacent retrieval and KG work can be scooped in one arXiv season. Conversely, a result that needs one more quarter of experiments should not be rushed into May; the fall slot returns every year.

Output format

text
[Lane count] IR / mining / KM-DB lanes the contribution truly occupies
[CIKM verdict] sweet spot / acceptable-but-specialist-venue-stronger / out of scope
[Track] full / short / applied / resource / demo (with the honest-artifact reason)
[Alternative venue] <best single-community target and why it loses or wins>
[Framing action] <what to merge, split, or rename before writing>

© 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 CIKM-Skills/skills/cikm-topic-selection of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Cikm 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.

Cikm Topic Selection compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cikm Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.8kAutomated safety check: PassMIT
Table Fitasgeirtj/system_prompts_leaks69k—~772Automated safety check: PassCC0-1.0
Furniture Fit Checkpascalorg/editor25k—~5.1kAutomated safety check: PassMIT
HTML Ppt Zhangzara Editorial Tri Tonenexu-io/open-design100k—~1.3kAutomated safety check: PassMIT
TopicsZimoLiao/scholaraio576—~294Automated safety check: PassMIT
Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills4.5k—~3.7kAutomated safety check: PassCustom licence

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Questions about Cikm Topic Selection

What does Cikm Topic Selection do?

A skill your agent uses when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM…. Cikm Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project fits CIKM, the tri-community ACM venue spanning information retrieval, data mining, and knowledge management/databases, when weighing CIKM against SIGIR, KDD, WSDM, TheWebConf, SIGMOD/VLDB, or ISWC, and when choosing among CIKM's five tracks before writing begins.

When should I use Cikm Topic Selection?

Cikm Topic Selection fits situations like: deciding whether a project fits CIKM; the tri-community ACM venue spanning information retrieval; knowledge management/databases; weighing CIKM against SIGIR.

How do I install Cikm Topic Selection in Claude Code?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cikm-topic-selection -a claude-code`. Or copy the skill folder (CIKM-Skills/skills/cikm-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/cikm-topic-selection in your project. Claude Code loads it when a task matches its description.

How do I install Cikm Topic Selection in Codex?

Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill cikm-topic-selection -a codex`. Or copy the skill folder (CIKM-Skills/skills/cikm-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/cikm-topic-selection in your project. Codex loads it when a task matches its description.

Can I use Cikm 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 cikm-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/cikm-topic-selection, .gemini/skills/cikm-topic-selection, .github/skills/cikm-topic-selection and .opencode/skills/cikm-topic-selection in your project.

What does Cikm Topic Selection need to run?

SKILL.md names no scripts, command-line tools or credentials: Cikm Topic Selection is instructions for the agent only.

Does Cikm 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 Cikm 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 Cikm Topic Selection use?

Cikm 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 Cikm Topic Selection use?

About 1.8k tokens (SKILL.md is roughly 7.2k 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 Cikm Topic Selection?

Skills that share tags, products or a category with Cikm Topic Selection: Table Fit (asgeirtj/system_prompts_leaks, 69k stars), Furniture Fit Check (pascalorg/editor, 25k stars), HTML Ppt Zhangzara Editorial Tri Tone (nexu-io/open-design, 100k stars) and Topics (ZimoLiao/scholaraio, 576 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Cikm 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.