Gec Literature Positioning
franklee16/academic-research-skills
A skill your agent uses when positioning a Global Environmental Change (GEC) manuscript against the relevant literatures.
A skill your agent uses when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation…
Install Wsdm Related Work
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wsdm-related-work -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wsdm-related-work --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/WSDM-Skills/skills/wsdm-related-work .claude/skills/wsdm-related-work && 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 "wsdm-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WSDM-Skills/skills/wsdm-related-work into .claude/skills/wsdm-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdm-related-work", 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/WSDM-Skills/skills/wsdm-related-workType 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 wsdm-related-work -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wsdm-related-work --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/WSDM-Skills/skills/wsdm-related-work .agents/skills/wsdm-related-work && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "wsdm-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WSDM-Skills/skills/wsdm-related-work into .agents/skills/wsdm-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdm-related-work", 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 wsdm-related-work -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wsdm-related-work --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/WSDM-Skills/skills/wsdm-related-work .cursor/skills/wsdm-related-work && 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 "wsdm-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WSDM-Skills/skills/wsdm-related-work into .cursor/skills/wsdm-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdm-related-work", 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 WSDM-Skills/skills/wsdm-related-work--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 wsdm-related-work -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills wsdm-related-work --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/WSDM-Skills/skills/wsdm-related-work .gemini/skills/wsdm-related-work && 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 "wsdm-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WSDM-Skills/skills/wsdm-related-work into .gemini/skills/wsdm-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdm-related-work", 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 wsdm-related-workInstalls 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 wsdm-related-work -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/WSDM-Skills/skills/wsdm-related-work .github/skills/wsdm-related-work && 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 "wsdm-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WSDM-Skills/skills/wsdm-related-work into .github/skills/wsdm-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdm-related-work", 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 wsdm-related-work -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 wsdm-related-work --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/WSDM-Skills/skills/wsdm-related-work .opencode/skills/wsdm-related-work && 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 "wsdm-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/WSDM-Skills/skills/wsdm-related-work into .opencode/skills/wsdm-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "wsdm-related-work", 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
wsdm-related-work- GitHub stars
- 1.2k
- Token cost
- ~1.6k tokens
- SKILL.md length
- 606 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 paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation…
- Works in 3 steps: Two or three lineage paragraphs (one per… → One paragraph for adjacent-venue and… → Zero survey paragraphs. History lessons…
- Positioning a paper against prior literature for WSDM - locating the work inside WSDMs own research lineages (click models
- SKILL.md covers Join a lineage, don't float free, The contrast sentence, Sibling-venue positioning and Misattribution traps, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Wsdm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing the section for the tight page budget.
Its SKILL.md is about 1.6k 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 Literature review and Positioning and messaging. 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 paper against prior literature for WSDM - locating the work inside WSDMs own research lineages (click models
- Sequential recommendation
- Community detection)
- Contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors
Example prompts
- “/wsdm-related-work”
Workflow steps
3 steps, taken from the first numbered list in SKILL.md.
- Two or three lineage paragraphs (one per relevant lineage), each ending in
- One paragraph for adjacent-venue and concurrent work.
- Zero survey paragraphs. History lessons ("early work in information
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
Wsdm Related Work loads about 1.6k tokens when it runs. Until then it costs about 89 tokens; SKILL.md has 606 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). 606 words, ~1,562 tokens.
Download SKILL.mdSave it as
.claude/skills/wsdm-related-work/SKILL.md (or your agent's skills folder).- name
- wsdm-related-work
- description
- Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing the section for the tight page budget.
WSDM Related Work
Position a submission against the literature the WSDM PC actually knows. At a small single-track venue, related-work errors are unusually visible: the person who wrote the paper you mis-cited may be your SPC. The section's job in a 9-page-inclusive budget is positioning - establishing which conversation the paper joins and what precisely it adds - not coverage.
Join a lineage, don't float free
WSDM has multi-edition research lineages, and reviewers instinctively slot new
work into them. Naming your lineage does the slotting for them (all rows
verified against ACM DL/dblp; see ../../resources/exemplars/library.md):
| Lineage | Anchor papers at WSDM | If your paper is here, position against |
|---|---|---|
| Click models / position bias | Craswell et al. 2008 (cascade model) | Subsequent click-model and propensity work |
| Unbiased learning-to-rank | Joachims et al. 2017 | The ULTR line it started, incl. recent WSDM/SIGIR follow-ups |
| Sequential recommendation | Tang & Wang 2018 (Caser) | The CNN/attention sequential-rec succession |
| RL / bandits for recommendation | Chen et al. 2019 (Top-K off-policy, YouTube) | Off-policy and bandit rec work since |
| Community detection / graph mining | Yang & Leskovec 2013 (BigCLAM) | Scalable overlapping-community successors |
If no WSDM lineage fits, that is routing information, not a citation problem -
run wsdm-topic-selection before writing further.
The contrast sentence
For each of the three to five closest works, write one sentence with this anatomy: their mechanism, their setting, the delta, why the delta matters here. Citation-listing ("[3,7,12] studied recommendation") communicates nothing and spends budget.
Template:
<Closest work> <does X by mechanism M> <in setting S>; we differ by <Δ>,
which matters because <consequence in our data regime>.
Instance (fictional):
CDR-Net transfers cross-domain preferences via shared user embeddings,
assuming overlapping user sets; we require no user overlap, which is the
common case for the partner-site logs we target.Reviewers at this venue read contrast sentences as competence signals: they show you know the mechanism, not just the title.
Sibling-venue positioning
WSDM's neighborhood is dense - SIGIR, KDD, TheWebConf (WWW), CIKM, RecSys, and ICWSM publish adjacent work continuously. Rules:
- Cite by contribution, not by venue prestige. Missing the directly relevant RecSys paper because you only searched WSDM+SIGIR is a standard negative-review trigger.
- Recency bar: at minimum, sweep the last two editions of WSDM, SIGIR, KDD, WWW, and CIKM for your exact topic before claiming novelty; the overlap between these communities makes "we are the first" claims fragile.
- Concurrent work: if a recent preprint does something similar, cite and contrast it calmly; at a no-rebuttal venue you cannot later explain that you "were unaware" - the paper must already handle it.
Show full SKILL.md (248 more words)Show less
Misattribution traps
Famous papers cluster in this neighborhood, and attributing them to the wrong venue damages credibility with reviewers who know exactly where they appeared. Verified placements to guard against common mix-ups:
- DeepWalk, node2vec, XGBoost - KDD papers, not WSDM.
- BERT4Rec - CIKM 2019, not WSDM/SIGIR.
- Neural Graph Collaborative Filtering (NGCF) - SIGIR 2019.
- "WTF: The Who to Follow Service at Twitter" - WWW 2013.
- SASRec - ICDM 2018.
- Conversely, the five lineage anchors in the table above are WSDM papers - citing Craswell et al.'s cascade model or Caser to another venue is the same error mirrored.
When in doubt, resolve the venue on dblp before the citation enters the draft; never trust memory or a secondhand BibTeX file for venue fields.
Worked positioning paragraph (fictional)
A dwell-time debiasing paper joining the unbiased-LTR lineage might position itself in four sentences - lineage entry, two contrasts, one boundary:
Learning from logged interactions without inheriting their biases is a
long-standing WSDM concern, from cascade-style click models [Craswell et
al., 2008] to counterfactual learning-to-rank [Joachims et al., 2017].
Propensity-based ULTR corrects exposure bias but treats post-click signals
as unbiased; we show dwell time carries its own salience confound and
extend the counterfactual framework to post-click behavior. Session-aware
rerankers <fictional cites> model dwell directly but require editorial
labels for calibration; our estimator calibrates from abandonment
behavior alone. Unlike both lines, we assume no access to the production
propensity model, matching the partner-platform setting of Section 5.Note what the paragraph never does: survey the field, praise prior work emptily, or cite anything it does not contrast. Each sentence moves the paper's coordinates.
Compression for the budget
Target half a page to three-quarters. Structure that survives compression:
- Two or three lineage paragraphs (one per relevant lineage), each ending in a contrast sentence for the closest works.
- One paragraph for adjacent-venue and concurrent work.
- Zero survey paragraphs. History lessons ("early work in information retrieval...") belong in theses.
Where the intro already contrasts the closest work (it should - see
wsdm-writing-style), the related-work section elaborates rather than
repeats: same contrast, mechanism-level detail.
Output format
[Lineage] WSDM lineage(s) joined: <named or "none - route check">
[Contrast sentences] closest 3-5 works each have mechanism-level contrast: yes / gaps
[Neighbor sweep] WSDM/SIGIR/KDD/WWW/CIKM last-2-editions checked: date + hits
[Misattribution scan] venue fields dblp-verified: yes / fixes made
[Budget] section length vs target: pass / compress list© 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 WSDM-Skills/skills/wsdm-related-work of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Wsdm 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.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Wsdm Related Work this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.6k | Automated safety check: Pass | MIT | |
| Gec Literature Positioningfranklee16/academic-research-skills | 223 | 1 repos | ~855 | Automated safety check: Pass | None | |
| Jpsp Literature Positioningfranklee16/academic-research-skills | 223 | 1 repos | ~850 | Automated safety check: Pass | None | |
| Rje Literature Positioningfranklee16/academic-research-skills | 223 | 1 repos | ~720 | Automated safety check: Pass | None | |
| Icml Related Workfranklee16/academic-research-skills | 223 | 1 repos | ~402 | Automated safety check: Pass | None | |
| Ieee Paper ReaderCloudWave818/ieee-skills | 359 | — | ~591 | Automated safety check: Pass | MIT |
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Categories
Questions about Wsdm Related Work
What does Wsdm Related Work do?
A skill your agent uses when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation…. Wsdm Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning a paper against prior literature for WSDM - locating the work inside WSDM's own research lineages (click models, unbiased LTR, sequential recommendation, community detection), contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors, venue-misattribution traps, and compressing the section for the tight page budget.
When should I use Wsdm Related Work?
Wsdm Related Work fits situations like: positioning a paper against prior literature for WSDM - locating the work inside WSDMs own research lineages (click models; sequential recommendation; community detection); contrasting against SIGIR/KDD/WWW/CIKM/RecSys neighbors.
How do I install Wsdm Related Work in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wsdm-related-work -a claude-code`. Or copy the skill folder (WSDM-Skills/skills/wsdm-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/wsdm-related-work in your project. Claude Code loads it when a task matches its description.
How do I install Wsdm Related Work in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill wsdm-related-work -a codex`. Or copy the skill folder (WSDM-Skills/skills/wsdm-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/wsdm-related-work in your project. Codex loads it when a task matches its description.
Can I use Wsdm 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 wsdm-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/wsdm-related-work, .gemini/skills/wsdm-related-work, .github/skills/wsdm-related-work and .opencode/skills/wsdm-related-work in your project.
What does Wsdm Related Work need to run?
SKILL.md names no scripts, command-line tools or credentials: Wsdm Related Work is instructions for the agent only.
Does Wsdm 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 Wsdm 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 Wsdm Related Work use?
Wsdm 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 Wsdm Related Work use?
About 1.6k tokens (SKILL.md is roughly 6.2k 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 Wsdm Related Work?
Skills that share tags, products or a category with Wsdm Related Work: Gec Literature Positioning (franklee16/academic-research-skills, 223 stars), Jpsp Literature Positioning (franklee16/academic-research-skills, 223 stars), Rje Literature Positioning (franklee16/academic-research-skills, 223 stars) and Icml Related Work (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 Wsdm 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.