A skill your agent uses when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding…

MITAuto-check passedResearch & Science

Install Cikm Related Work

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

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

GitHub CLI
$ gh skill install brycewang-stanford/Awesome-Journal-Skills cikm-related-work --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-related-work .claude/skills/cikm-related-work && 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-related-work
GitHub stars
1.2k
Token cost
~1.7k tokens
SKILL.md length
845 words
Files
1
Skills in repo
2,387
Repo updated
First seen
Licence
MIT

At a glance

A skill your agent uses when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding…

  • Positioning a CIKM submission against three literatures at once — retrieval
  • SKILL.md covers Three-front coverage plan, The boundary-work paragraph, Misattribution guard and Recency expectations by front, plus 4 more sections
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
  • Knowledge management/databases — building the boundary-work paragraph

What it does

Cikm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.

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.

It sits in Research & Science, covering Academic paper search and Literature review. It works with arXiv. 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

  • Positioning a CIKM submission against three literatures at once — retrieval
  • Knowledge management/databases — building the boundary-work paragraph
  • Guarding against misattributing SIGIR/KDD/ICDM classics to CIKM
  • Handling preprints under the arXiv-declaration and dual-submission rules

Example prompts

  • “/cikm-related-work”

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 Related Work loads about 1.7k tokens when it runs. Until then it costs about 82 tokens; SKILL.md has 845 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~82
When it runs · the whole SKILL.md, loaded when a task matches
~1.7k

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). 845 words, ~1,704 tokens.

Download SKILL.mdSave it as .claude/skills/cikm-related-work/SKILL.md (or your agent's skills folder).
name
cikm-related-work
description
Use when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.

Related work at CIKM is a three-front obligation. A submission claiming the IR-mining-KM boundary must show command of each literature it borrows from, plus the smaller literature that lives on the boundary — much of which is CIKM's own back catalog. A section citing only one lane tells two-thirds of the reviewer pool that their field's relevant results may be unknown to the authors.

Three-front coverage plan

FrontLineage to commandWhat its reviewer checks
RetrievalRanking models, neural matching (DRMM-line), evaluation practiceIs the nearest ranking method compared or distinguished?
MiningRepresentation learning (GraRep-line), graph/sequence models, scale methodsIs the mechanism's delta over the nearest mining method stated?
KM / databasesEntity linking (TAGME-line), integration, KG construction and qualityIs the data-management cost and lineage acknowledged?

The verified exemplars in ../../resources/exemplars/library.md mark where these lineages pass through CIKM itself; citing the venue's own milestones — DSSM for click-supervised semantic matching, RippleNet/BERT4Rec for KG- and transformer-based recommendation — signals to the panel that the authors know whose house they are submitting to.

The boundary-work paragraph

After the three lane surveys, CIKM related-work sections need one paragraph the single-lane venues do not: the works that already tried to combine the same lanes. Structure it as three sentences — who combined what ("X fused KG signals into ranking..."), what they could not do ("...but only for static graphs at million-triple scale"), what this paper changes at the seam ("we make the fusion incremental, which is what deployment requires"). Reviewers use exactly this paragraph to locate the contribution; write it so it can be quoted in a meta-review.

Misattribution guard

CIKM sits so close to its siblings that venue misattribution is a live review risk — and a credibility hit when a reviewer authored the misplaced paper. Checked traps (dblp-verified, 2026-07-08):

  • DeepWalk, node2vec, metapath2vec → KDD, not CIKM; CIKM's graph-embedding milestone is GraRep (CIKM 2015).
  • SASRec → ICDM 2018; the transformer-recommender at CIKM is BERT4Rec (CIKM 2019).
  • NGCF and LightGCN → SIGIR (2019/2020); CIKM's KG-recommendation landmark is RippleNet (CIKM 2018).
  • Conv-KNRM → WSDM 2018, while DRMM → CIKM 2016; the neural-IR lineage hops venues paper by paper.
  • TransE → NeurIPS 2013 — KG-embedding origins are not CIKM even though KG applications are core CIKM territory.

Rule: before writing "(CIKM 20xx)", confirm on dblp's conf/cikm index; before writing "prior CIKM work has not...", search the last three CIKM proceedings in the ACM DL — with many hundreds of papers per recent edition, the prior work usually exists.

Recency expectations by front

The three fronts age at different speeds, and reviewers calibrate accordingly. A workable recency floor when drafting:

FrontStaleness signal reviewers flagFloor
Neural retrieval / RAG-adjacentNo baseline or citation from the last ~18 monthsCurrent-year and previous-year venue papers present
Graph/sequence miningComparing only against pre-transformer-era methodsAt least one recent strong method compared, not just cited
KM / KG constructionIgnoring the current ecosystem (modern KG tooling, LLM-assisted curation)Ecosystem named, position stated
Foundations—Foundational citations never go stale; DSSM-era work still anchors lineages

Recency is about baselines even more than bibliography: citing a recent method while comparing only against old ones is the version of staleness that costs scores (cikm-experiments owns that half of the problem).

Show full SKILL.md (321 more words)Show less

Citation hygiene mechanics

  • Cite the published venue version once it exists — the CIKM/SIGIR/KDD record, not the arXiv preprint the PDF happened to be downloaded from. dblp resolves this in seconds and the ACM reference format carries the DOI.
  • Keep bibliography entries consistent in format; a references section mixing five citation styles reads as assembled-by-paste, and at CIKM the references are uncounted — there is no budget excuse for truncated entries.
  • When a line of work spans venues (the neural-matching lineage deliberately does), cite the actual hops rather than attributing the whole line to one venue — the misattribution guard above exists because reviewers notice.

Preprints, concurrency, and the declaration rule

CIKM 2026 bans concurrent submission outright and requires declaring any public non-anonymized version on the EasyChair form (cikm-submission). In the related-work text itself: cite your own preprint in third person like a stranger's work; cite independent concurrent arXiv work neutrally with a technical contrast and no priority argument; and never let a citation resolve the authors' identity (e.g., a footnoted repository URL owned by an author).

Auditing the novelty sentence

The contribution statement should survive this adversarial read: for each clause, name the closest prior work that could claim the same clause, and state the surviving difference in mechanism terms, not adjective terms.

Draft: "We are the first to use knowledge graphs for enterprise search."

Audit: KG-for-search has a decade of work (the RippleNet-line alone applies KG propagation to ranking-adjacent tasks); "first" fails on contact. Repaired: "Prior KG-augmented retrieval assumes a static graph resolved at index time; we resolve links at query time against a continuously edited graph, which no prior system in this line supports." The repaired sentence names the lineage, concedes its existence, and stakes a mechanism-level difference a reviewer can verify rather than a primacy claim they can falsify with one citation — the only kind of novelty sentence that is safe in front of a pool this broad.

Output format

text
[Front coverage] retrieval / mining / KM-DB — each surveyed with nearest work named
[Boundary paragraph] <who-combined-what → gap → this paper's seam move>
[CIKM back-catalog] <own-venue milestones cited where they exist>
[Misattribution scan] <every "(CIKM 20xx)" dblp-checked; sibling classics placed right>
[Declaration state] <own preprints third-person, form declaration consistent>

© 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-related-work of brycewang-stanford/Awesome-Journal-Skills.

Open the folder on GitHubat commit 932eb23

Compare with similar skills

Cikm Related Work 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 Related Work compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Cikm Related Work this skillbrycewang-stanford/Awesome-Journal-Skills1.2k—~1.7kAutomated safety check: PassMIT
Literature Reviewneflibata-feng/MyArxiv-Agent12620 repos~5.9kAutomated safety check: NotesMIT
Systematic Literature Review Builderbytedance/deer-flow84k2 repos~4.3kAutomated safety check: PassMIT
Paper Research on arXivXiaomiMiMo/MiMo-Code14k—~1.5kAutomated safety check: PassMIT
Literature Review AgentAr9av/PaperOrchestra6791 repos~5.2kAutomated safety check: PassCustom licence
Arxiv MCP Serverblazickjp/arxiv-mcp-server3.2k—~353Automated safety check: PassApache-2.0

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Works with

Questions about Cikm Related Work

What does Cikm Related Work do?

A skill your agent uses when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding…. Cikm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a CIKM submission against three literatures at once — retrieval, mining, and knowledge management/databases — building the boundary-work paragraph, guarding against misattributing SIGIR/KDD/ICDM classics to CIKM, and handling preprints under the arXiv-declaration and dual-submission rules.

When should I use Cikm Related Work?

Cikm Related Work fits situations like: positioning a CIKM submission against three literatures at once — retrieval; knowledge management/databases — building the boundary-work paragraph; guarding against misattributing SIGIR/KDD/ICDM classics to CIKM; handling preprints under the arXiv-declaration and dual-submission rules.

How do I install Cikm Related Work in Claude Code?

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

How do I install Cikm Related Work in Codex?

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

Can I use Cikm Related Work 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-related-work -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-related-work, .gemini/skills/cikm-related-work, .github/skills/cikm-related-work and .opencode/skills/cikm-related-work in your project.

What does Cikm Related Work need to run?

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

Does Cikm Related Work 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 Related Work 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 Related Work use?

Cikm Related Work 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 Related Work 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 Cikm Related Work?

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Who maintains Cikm Related Work?

brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,231 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.