How do I install the Fetch Awesome Repo Rec Sys Paper skill?

Run npx skillmds@latest add allyoushawn/fetch-awesome-repo-rec-sys-paper in your terminal (requires Node.js), paste this page's agent-chat prompt into Claude, Cursor, or any MCP-connected agent, or download the SKILL.md file and copy it into your agent's skills directory.

Is Fetch Awesome Repo Rec Sys Paper safe to use?

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Which AI agents work with Fetch Awesome Repo Rec Sys Paper?

This skill is tagged as working with Claude Code, Claude.ai, OpenAI Codex. SKILL.md is an open format, so most agents that read a skills directory can load it too.

Is Fetch Awesome Repo Rec Sys Paper free to use?

Yes. Installing skills from SkillMD is free, and the skill stays under its author's original license.

Who published Fetch Awesome Repo Rec Sys Paper?

allyoushawn (@allyoushawn) published this skill. Their other Agent Skills are listed on their SkillMD profile.

Fetch Awesome Repo Rec Sys Paper by allyoushawn

Name: Fetch Awesome Repo Rec Sys Paper
Author: allyoushawn

Fetch Awesome Repo Rec Sys Paper

Resolves paper titles and repo-relative PDF paths from the curated Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising index by keyword. Returns section, title, decoded path inside the companion PDF repo, and the GitHub blob URL. Triggers: user names a paper / acronym / author / venue and wants the canonical path or URL from the Awesome rec-sys list (e.g. "find DIEN", "where is the wide & deep paper", "Awesome rec-sys list").

allyoushawn Updated Sep 17, 2026

File contents

Fetch paper path from Awesome rec-sys list

Looks up papers from the curated Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising README. The README only stores markdown links; PDFs live in the companion repo guyulongcs/Deep-Learning-for-Search-Recommendation-Advertisements. The repo-relative path is the segment after blob/<branch>/ in each link, URL-decoded.

Inputs

Input	Description	Example
Query tokens	One or more space-separated tokens; every token must appear in title / path / URL	`DIEN`, `wide deep`, `multi-task ranking`
README path (optional)	Override via env `AWESOME_REC_SYS_README` or `--readme` flag	—

Tokens that are alphanumeric/hyphen are matched as whole words (so DIEN does not match Gradient).

References (load when relevant)

None — this skill is self-contained.

Steps

Locate the README. Default lookup order in the script:
1. AWESOME_REC_SYS_README env var
2. Hard-coded fallback at /path/to/works/for/you/Projects/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising/README.md
If neither resolves, ask the user to clone the Awesome repo or set the env var.

Run the script:

python3 ~/.claude/skills/fetch-awesome-repo-rec-sys-paper/scripts/find_paper.py "DIEN"
python3 ~/.claude/skills/fetch-awesome-repo-rec-sys-paper/scripts/find_paper.py wide deep

Return the matches — section heading, human title, repo-relative path: (decoded), and full GitHub url:. Report all matches when duplicates appear under different sections (e.g. same paper under 03_Ranking and Sequence-Modeling).

Fallback without the script

Open the README at the resolved path.
Search case-insensitive for the keyword.
For each * [Title](URL) line with a .pdf URL, decode the path after blob/master/ (e.g. %20 → space).
Return section (nearest preceding ## heading), title, relative path, and full URL.

Notes

Link titles use nested brackets (e.g. [DIN] inside [...](url)) — the script handles this. A naive [^]]+ regex on the whole line will fail.
Markdown emphasis (**, _, backticks) in link text is stripped for display.
Local PDFs only exist if the user has separately cloned Deep-Learning-for-Search-Recommendation-Advertisements; the Awesome README still gives the correct relative path.

Output

One block per match: section, title, path: (relative path inside the PDF repo), url: (full GitHub blob URL).

---name: fetch-awesome-repo-rec-sys-paperdescription: Resolves paper titles and repo-relative PDF paths from the curated Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising index by keyword. Returns section, title, decoded path inside the companion PDF repo, and the GitHub blob URL. Triggers: user names a paper / acronym / author / venue and wants the canonical path or URL from the Awesome rec-sys list (e.g. "find DIEN", "where is the wide & deep paper", "Awesome rec-sys list").---# Fetch paper path from Awesome rec-sys listLooks up papers from the curated [Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising](https://github.com/guyulongcs/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising) README. The README only stores markdown links; PDFs live in the companion repo `guyulongcs/Deep-Learning-for-Search-Recommendation-Advertisements`. The repo-relative path is the segment after `blob/<branch>/` in each link, URL-decoded.## Inputs| Input | Description | Example ||-------|-------------|---------|| Query tokens | One or more space-separated tokens; every token must appear in title / path / URL | `DIEN`, `wide deep`, `multi-task ranking` || README path (optional) | Override via env `AWESOME_REC_SYS_README` or `--readme` flag | — |Tokens that are alphanumeric/hyphen are matched as **whole words** (so `DIEN` does not match `Gradient`).## References (load when relevant)- None — this skill is self-contained.## Steps1. **Locate the README.** Default lookup order in the script: 1. `AWESOME_REC_SYS_README` env var 2. Hard-coded fallback at `/path/to/works/for/you/Projects/Awesome-Deep-Learning-Papers-for-Search-Recommendation-Advertising/README.md` If neither resolves, ask the user to clone the Awesome repo or set the env var.2. **Run the script:** ```bash python3 ~/.claude/skills/fetch-awesome-repo-rec-sys-paper/scripts/find_paper.py "DIEN" python3 ~/.claude/skills/fetch-awesome-repo-rec-sys-paper/scripts/find_paper.py wide deep ```3. **Return the matches** — section heading, human title, repo-relative `path:` (decoded), and full GitHub `url:`. Report all matches when duplicates appear under different sections (e.g. same paper under `03_Ranking` and `Sequence-Modeling`).## Fallback without the script1. Open the README at the resolved path.2. Search case-insensitive for the keyword.3. For each `* [Title](URL)` line with a `.pdf` URL, decode the path after `blob/master/` (e.g. `%20` → space).4. Return section (nearest preceding `##` heading), title, relative path, and full URL.## Notes- Link titles use nested brackets (e.g. `[DIN]` inside `[...](url)`) — the script handles this. A naive `[^]]+` regex on the whole line will fail.- Markdown emphasis (`**`, `_`, backticks) in link text is stripped for display.- Local PDFs only exist if the user has separately cloned `Deep-Learning-for-Search-Recommendation-Advertisements`; the Awesome README still gives the correct relative path.## Output- One block per match: `section`, `title`, `path:` (relative path inside the PDF repo), `url:` (full GitHub blob URL).

Frequently asked questions