Recsys Pipeline Architect
affaan-m/ECC
Design composable recommendation, ranking, and feed pipelines using the six-stage Source→Hydrator→Filter→Scorer→Selector→SideEffect framework popularized by xAI's open-sourced For You algorithm.
A skill your agent uses when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core…
MITAuto-check passed
Install Recsys Topic Selection
$ npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-topic-selection -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-topic-selection .claude/skills/recsys-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 "recsys-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-topic-selection into .claude/skills/recsys-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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/RecSys-Skills/skills/recsys-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 recsys-topic-selection -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-topic-selection .agents/skills/recsys-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 "recsys-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-topic-selection into .agents/skills/recsys-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-topic-selection -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-topic-selection .cursor/skills/recsys-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 "recsys-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-topic-selection into .cursor/skills/recsys-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 RecSys-Skills/skills/recsys-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 recsys-topic-selection -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install brycewang-stanford/Awesome-Journal-Skills recsys-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/RecSys-Skills/skills/recsys-topic-selection .gemini/skills/recsys-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 "recsys-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-topic-selection into .gemini/skills/recsys-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-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 recsys-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/RecSys-Skills/skills/recsys-topic-selection .github/skills/recsys-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 "recsys-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-topic-selection into .github/skills/recsys-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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 recsys-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 recsys-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/RecSys-Skills/skills/recsys-topic-selection .opencode/skills/recsys-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 "recsys-topic-selection" agent skill from https://github.com/brycewang-stanford/Awesome-Journal-Skills/tree/main/RecSys-Skills/skills/recsys-topic-selection into .opencode/skills/recsys-topic-selection/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "recsys-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
recsys-topic-selection- GitHub stars
- 1.2k
- Token cost
- ~1.1k tokens
- SKILL.md length
- 471 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 is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core…
- Deciding whether a project is a strong ACM RecSys fit
- SKILL.md covers Fit test, Fit signal table, Which RecSys track and Vignette: where an…, plus 2 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Routing among RecSys
What it does
Recsys Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core contribution is genuinely about recommendation, and choosing the right RecSys track before writing begins.
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 is a strong ACM RecSys fit
- Routing among RecSys
- General ML venues
- Identifying whether the core contribution is genuinely about recommendation
Example prompts
- “/recsys-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
Recsys Topic Selection loads about 1.1k tokens when it runs. Until then it costs about 77 tokens; SKILL.md has 471 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). 471 words, ~1,069 tokens.
Download SKILL.mdSave it as
.claude/skills/recsys-topic-selection/SKILL.md (or your agent's skills folder).- name
- recsys-topic-selection
- description
- Use when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core contribution is genuinely about recommendation, and choosing the right RecSys track before writing begins.
RecSys Topic Selection
Use this before writing. RecSys is a single-domain venue: it is strongest when the central claim is about recommendation — ranking objectives, user/item modeling, offline/online evaluation, feedback loops, exposure and fairness, or deployed recommender behavior. Being merely applicable to recommendation is not enough; the contribution has to speak to a recommender audience.
Fit test
- Prefer RecSys when the main claim is a recommendation result: a ranking objective, a user/session model, an evaluation protocol, an off-policy/counterfactual method, a fairness/diversity/exposure result, or a deployed-system insight.
- Route to SIGIR when the core is ad-hoc retrieval, search ranking, or IR evaluation not tied to recommendation.
- Route to KDD when the contribution is a general data-mining or large-scale algorithm and recommendation is just one application.
- Route to WSDM / TheWebConf (WWW) when the emphasis is web-scale search-and-mining or web systems broadly.
- Route to UAI or an ML venue when the contribution is a general learning/probabilistic advance rather than recommender-specific evidence.
- Route to CHI / CSCW when user or community outcomes dominate over the recommendation algorithm.
Fit signal table
| Signal in the project | RecSys reading |
|---|---|
| A ranking/user-modeling idea evaluated with tuned baselines and a leakage-aware split | Core fit — the house genre |
| Off-policy or counterfactual evaluation of recommendations | Core fit — a RecSys distinctive |
| A deployed system with production constraints and A/B evidence | Core fit — route to the Industry track |
| A reproduction/refutation of prior recommender results | Core fit — route to the Reproducibility track |
| A general retrieval or mining method, recommendation as one demo | Better at SIGIR / KDD / WSDM |
| A general ML method with a recommender benchmark tacked on | Better at an ML venue |
Show full SKILL.md (206 more words)Show less
Which RecSys track
- Main long paper: a rounded recommendation contribution with offline (and ideally online) evidence.
- Main short / Past-Present-Future: one focused finding, or a reflective/forward-looking position.
- Reproducibility: repeating, refuting, or re-scoping prior results; a dataset or framework.
- Industry: a deployed system with production constraints and live evidence.
- Resource / Dataset: a community dataset or software resource with build methodology.
Vignette: where an exposure-correction method goes
A project delivers an off-policy ranker with an exposure-corrected estimator and a simulator bridge. RecSys reading: strong fit — a recommendation-specific evaluation advance is exactly what the venue rewards, Main long paper. Strip the recommendation framing and keep only a generic off-policy estimator, and it drifts toward an ML venue; turn it into a reproduction of three published rankers, and the Reproducibility track becomes the right home.
Sharpening moves before committing
- Name the recommendation primitive: the ranking objective, the user/item model, the evaluation protocol, or the deployment claim. If none exists, the RecSys framing does not.
- Confirm the evidence can meet the venue's evaluation bar (tuned baselines, leakage-aware split, reported variance) — decoration-only benchmarks are a quiet fit failure here.
- Topic emphasis and the track lineup drift between cycles (2026 dropped LBR, added R&P Notes); scan the current CFP before final routing.
Output format
[Fit] strong RecSys / possible RecSys / better elsewhere
[Best venue] RecSys / SIGIR / KDD / WSDM / TheWebConf / UAI / CHI / ML venue / other
[RecSys track] main-long / main-short / past-present-future / reproducibility / industry / resource
[Contribution sentence] <one sentence>
[Top rejection risk] <novelty / evaluation validity / scope / fit>
[Next action] <experiment, framing, or venue switch>© 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-topic-selection of brycewang-stanford/Awesome-Journal-Skills.
Open the folder on GitHubat commit 932eb23
Compare with similar skills
Recsys 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 |
|---|---|---|---|---|---|---|
| Recsys Topic Selection this skillbrycewang-stanford/Awesome-Journal-Skills | 1.2k | — | ~1.1k | Automated safety check: Pass | MIT | |
| Recsys Pipeline Architectaffaan-m/ECC | 276k | 1 repos | ~1.9k | Automated safety check: Pass | MIT | |
| TopicsZimoLiao/scholaraio | 577 | — | ~294 | Automated safety check: Pass | MIT | |
| Topic Modelingbrycewang-stanford/Auto-Empirical-Research-Skills | 4.5k | — | ~3.7k | Automated safety check: Pass | Custom licence | |
| Acm Workshop On Hot Topics In Networksfranklee16/academic-research-skills | 223 | 1 repos | ~1.9k | Automated safety check: Pass | None | |
| Bestblogs Topicginobefun/BestBlogs | 4k | — | ~670 | Automated safety check: Pass | None |
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Topics
ZimoLiao/scholaraio
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Topic Modeling
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Acm Workshop On Hot Topics In Networks
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Bestblogs Topic
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Zsxq Topic
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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。
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Questions about Recsys Topic Selection
What does Recsys Topic Selection do?
A skill your agent uses when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core…. Recsys Topic Selection is an agent skill from brycewang-stanford/Awesome-Journal-Skills. Use when deciding whether a project is a strong ACM RecSys fit, routing among RecSys, SIGIR, KDD, WSDM, TheWebConf, UAI, CHI, and general ML venues, identifying whether the core contribution is genuinely about recommendation, and choosing the right RecSys track before writing begins.
When should I use Recsys Topic Selection?
Recsys Topic Selection fits situations like: deciding whether a project is a strong ACM RecSys fit; routing among RecSys; general ML venues; identifying whether the core contribution is genuinely about recommendation.
How do I install Recsys Topic Selection in Claude Code?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-topic-selection -a claude-code`. Or copy the skill folder (RecSys-Skills/skills/recsys-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .claude/skills/recsys-topic-selection in your project. Claude Code loads it when a task matches its description.
How do I install Recsys Topic Selection in Codex?
Run `npx skills add brycewang-stanford/Awesome-Journal-Skills --skill recsys-topic-selection -a codex`. Or copy the skill folder (RecSys-Skills/skills/recsys-topic-selection in brycewang-stanford/Awesome-Journal-Skills) into .agents/skills/recsys-topic-selection in your project. Codex loads it when a task matches its description.
Can I use Recsys 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 recsys-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/recsys-topic-selection, .gemini/skills/recsys-topic-selection, .github/skills/recsys-topic-selection and .opencode/skills/recsys-topic-selection in your project.
What does Recsys Topic Selection need to run?
SKILL.md names no scripts, command-line tools or credentials: Recsys Topic Selection is instructions for the agent only.
Does Recsys 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 Recsys 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 Recsys Topic Selection use?
Recsys 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 Recsys Topic Selection use?
About 1.1k tokens (SKILL.md is roughly 4.3k 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 Topic Selection?
Skills that share tags, products or a category with Recsys Topic Selection: Recsys Pipeline Architect (affaan-m/ECC, 276k stars), Topics (ZimoLiao/scholaraio, 577 stars), Topic Modeling (brycewang-stanford/Auto-Empirical-Research-Skills, 4.5k stars) and Acm Workshop On Hot Topics In Networks (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 Recsys Topic Selection?
brycewang-stanford (a GitHub user) maintains it in brycewang-stanford/Awesome-Journal-Skills, which has 1,228 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.