Literature Review
K-Dense-AI/scientific-agent-skills
Runs systematic, scoping or narrative literature reviews across PubMed, arXiv, bioRxiv and Semantic Scholar, with citation checks and Markdown or PDF output.
A skill your agent uses when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique…
Install Recsys Related Work
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-related-work -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-related-work .claude/skills/recsys-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 "recsys-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-related-work into .claude/skills/recsys-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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/RecSys-Skills/skills/recsys-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 recsys-related-work -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-related-work .agents/skills/recsys-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 "recsys-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-related-work into .agents/skills/recsys-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-related-work -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-related-work .cursor/skills/recsys-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 "recsys-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-related-work into .cursor/skills/recsys-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 RecSys-Skills/skills/recsys-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 recsys-related-work -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-related-work .gemini/skills/recsys-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 "recsys-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-related-work into .gemini/skills/recsys-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-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 recsys-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/RecSys-Skills/skills/recsys-related-work .github/skills/recsys-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 "recsys-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-related-work into .github/skills/recsys-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-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 recsys-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/RecSys-Skills/skills/recsys-related-work .opencode/skills/recsys-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 "recsys-related-work" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-related-work into .opencode/skills/recsys-related-work/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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
recsys-related-work- GitHub stars
- 1.2k
- Token cost
- ~968 tokens
- SKILL.md length
- 402 words
- Files
- 1
- Skills in repo
- 2,387
- Repo updated
- First seen
- Licence
- MIT
At a glance
A skill your agent uses when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique…
- Positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR
- SKILL.md covers Positioning checks, Neighbor-venue coverage table, Positioning vignette and Concurrent-work judgment calls, plus 1 more section
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Including the reproducibility-critique line
What it does
Recsys Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique line, arXiv and prior versions, concurrent work, ACM Digital Library archival status, and the citation coverage RecSys reviewers expect across recommendation subfields.
Its SKILL.md is about 970 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, Reproducible research and Academic paper search. 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 an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR
- Including the reproducibility-critique line
- ArXiv and prior versions
- Concurrent work
Example prompts
- “/recsys-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
Recsys Related Work loads about 968 tokens when it runs. Until then it costs about 92 tokens; SKILL.md has 402 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). 402 words, ~968 tokens.
Download SKILL.mdSave it as
.claude/skills/recsys-related-work/SKILL.md (or your agent's skills folder).- name
- recsys-related-work
- description
- Use when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique line, arXiv and prior versions, concurrent work, ACM Digital Library archival status, and the citation coverage RecSys reviewers expect across recommendation subfields.
RecSys Related Work
Use this to audit novelty and eligibility. Reopen the current Call for Contributions for dual-submission, anonymity, and prior-publication rules before advising authors.
Positioning checks
- Separate the recommendation contribution from generic ML improvement: a new ranking objective, user/item modeling idea, evaluation protocol, off-policy estimator, or empirical insight about deployed behavior.
- Cover the recommendation subfields your claim touches: collaborative filtering, sequential/ session models, off-policy/counterfactual evaluation, fairness/diversity/exposure, and — for any empirical claim — the reproducibility-critique line.
- Treat ACM Digital Library, journal, and formal conference proceedings as archival unless current rules say otherwise.
- Cite arXiv and prior-version work so double-blind review survives; do not point reviewers to identity-revealing pages.
- Explain overlap with any concurrent or prior version, and do not submit duplicate archival work.
Neighbor-venue coverage table
RecSys is a single-domain venue, but its neighbors publish recommendation-relevant work. A reviewer checks whether you cite the right neighbor, not just RecSys itself.
| Neighbor venue | What it contributes to your related work | Reviewer check |
|---|---|---|
| SIGIR | Ranking models, IR evaluation, neural retrieval | Did you distinguish recommendation from ad-hoc retrieval framing? |
| KDD | Large-scale mining, the sampled-metrics critique | Is the scalability or evaluation-methodology neighbor acknowledged? |
| WSDM / TheWebConf | Web-scale recommendation, graph and CF methods | Is the nearest web-recommendation method compared? |
| UAI | Foundational ranking (e.g., BPR) and probabilistic modeling | Are canonical recommendation methods cited to their true venue, not RecSys? |
| Reproducibility line | "Are we really making much progress?" and follow-ups | Does your evaluation answer the tuned-baseline critique head on? |
A bibliography that cites only RecSys papers tells a reviewer you may have missed the method that already solved this at a neighbor venue — a recognizable reject pattern that benchmark strength does not repair.
Show full SKILL.md (128 more words)Show less
Positioning vignette
Imagine the paper proposes an exposure-corrected session ranker. Its nearest neighbors: a SIGIR neural ranker with no exposure correction, a KDD paper on sampled-metric bias, and a prior RecSys counterfactual-embedding paper. The novelty sentence should name all three contrasts — exposure handling where the SIGIR line ignored it, full-ranking evaluation answering the KDD critique, and a session-level objective where the prior RecSys work was static.
Concurrent-work judgment calls
- Independently concurrent arXiv work: cite neutrally, state the technical difference, avoid priority claims reviewers cannot verify.
- Your own prior version: verify its archival status against the current CFP and phrase the citation so double-blind review survives.
- When unsure whether a venue is archival, declare the overlap on the submission form rather than gambling on a chair's interpretation.
Output format
[Eligibility] clear / needs declaration / risky
[Closest subfields] <CF / sequential / off-policy / fairness / reproducibility>
[Nearest 3 works] <work -> distinction (with true venue)>
[Archival-overlap risk] <none / issues>
[Novelty sentence] <RecSys-ready recommendation contribution contrast>© 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 RecSys-Skills/skills/recsys-related-work of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Recsys 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 |
|---|---|---|---|---|---|---|
| Recsys Related Work this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~968 | Automated safety check: Pass | MIT | |
| Literature ReviewK-Dense-AI/scientific-agent-skills | 48k | 1 repos | ~3.2k | Automated safety check: Notes | MIT | |
| Literature Reviewneflibata-feng/MyArxiv-Agent | 126 | 20 repos | ~5.9k | Automated safety check: Notes | MIT | |
| Systematic Literature Review Builderbytedance/deer-flow | 84k | 2 repos | ~4.3k | Automated safety check: Pass | MIT | |
| Paper Research on arXivXiaomiMiMo/MiMo-Code | 14k | — | ~1.5k | Automated safety check: Pass | MIT | |
| Literature Review AgentAr9av/PaperOrchestra | 679 | 1 repos | ~5.2k | Automated safety check: Pass | Custom licence |
Similar skills
Literature Review
neflibata-feng/MyArxiv-Agent
Conduct comprehensive, systematic literature reviews using multiple academic databases (PubMed, arXiv, bioRxiv, Semantic Scholar, etc.).
Systematic Literature Review Builder
bytedance/deer-flow
Searches arXiv across many papers on one topic, extracts each paper's methodology and findings in parallel, and synthesizes a cited literature review.
Paper Research on arXiv
XiaomiMiMo/MiMo-Code
Searches arXiv, fetches metadata, generates BibTeX, downloads PDFs and finds citations and related papers using a bundled Python script.
Literature Review Agent
Ar9av/PaperOrchestra
Step 3 of the PaperOrchestra pipeline (arXiv:2604.05018). An agent skill from Ar9av/PaperOrchestra.
Arxiv MCP Server
blazickjp/arxiv-mcp-server
A skill your agent uses when finding, comparing, reading, or monitoring arXiv papers, including requests for abstracts, citation graphs, original LaTeX, section-level technical details, or…
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Questions about Recsys Related Work
What does Recsys Related Work do?
A skill your agent uses when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique…. Recsys Related Work is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR, KDD, WSDM, TheWebConf, UAI), including the reproducibility-critique line, arXiv and prior versions, concurrent work, ACM Digital Library archival status, and the citation coverage RecSys reviewers expect across recommendation subfields.
When should I use Recsys Related Work?
Recsys Related Work fits situations like: positioning an ACM RecSys submission against recommender-systems literature and its neighbors (SIGIR; including the reproducibility-critique line; arXiv and prior versions; concurrent work.
How do I install Recsys Related Work in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-related-work -a claude-code`. Or copy the skill folder (RecSys-Skills/skills/recsys-related-work in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/recsys-related-work in your project. Claude Code loads it when a task matches its description.
How do I install Recsys Related Work in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-related-work -a codex`. Or copy the skill folder (RecSys-Skills/skills/recsys-related-work in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/recsys-related-work in your project. Codex loads it when a task matches its description.
Can I use Recsys 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 recsys-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/recsys-related-work, .gemini/skills/recsys-related-work, .github/skills/recsys-related-work and .opencode/skills/recsys-related-work in your project.
What does Recsys Related Work need to run?
SKILL.md names no scripts, command-line tools or credentials: Recsys Related Work is instructions for the agent only.
Does Recsys 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 Recsys 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 Recsys Related Work use?
Recsys 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 Recsys Related Work use?
About 968 tokens (SKILL.md is roughly 3.9k 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 Recsys Related Work?
Skills that share tags, products or a category with Recsys Related Work: Literature Review (K-Dense-AI/scientific-agent-skills, 48k stars), Literature Review (neflibata-feng/MyArxiv-Agent, 126 stars), Systematic Literature Review Builder (bytedance/deer-flow, 84k stars) and Paper Research on arXiv (XiaomiMiMo/MiMo-Code, 14k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Recsys 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.