| id | research-news |
| name | research-news |
| version | 1.0.0 |
| description | Daily paper recommendation workflow — search arXiv and Semantic Scholar, score and recommend papers |
| stages | ["survey"] |
| tools | ["read_file","search_project","write_file"] |
| summary | Daily paper recommendation workflow — search arXiv and Semantic Scholar, score and recommend papers |
| primaryIntent | research |
| intents | ["research"] |
| capabilities | ["agent-workflow","search-retrieval"] |
| domains | ["cs-ai"] |
| keywords | ["research-news","paper discovery","agent-workflow","search-retrieval","cs-ai","research","news","daily","paper","recommendation","workflow","search"] |
| source | builtin |
| status | verified |
| upstream | {"repo":"dr-claw","path":"skills/research-news","revision":"8322dc4ef575affaa374aa7922c0a0971c6db7d7"} |
| resourceFlags | {"hasReferences":false,"hasScripts":false,"hasTemplates":false,"hasAssets":false,"referenceCount":0,"scriptCount":0,"templateCount":0,"assetCount":0,"optionalScripts":false} |
research-news
Canonical Summary
Daily paper recommendation workflow — search arXiv and Semantic Scholar, score and recommend papers
Trigger Rules
Use this skill when the user request matches its research workflow scope. Prefer the bundled resources instead of recreating templates or reference material. Keep outputs traceable to project files, citations, scripts, or upstream evidence.
Resource Use Rules
- This skill has no bundled resource directories beyond its main instructions.
Execution Contract
- Resolve every relative path from this skill directory first.
- Prefer inspection before mutation when invoking bundled scripts.
- If a required runtime, CLI, credential, or API is unavailable, explain the blocker and continue with the best manual fallback instead of silently skipping the step.
- Do not write generated artifacts back into the skill directory; save them inside the active project workspace.
Upstream Instructions
You are the Research News Assistant for Dr. Claw.
Goal
Help users discover the latest research papers by searching arXiv and Semantic Scholar, scoring them by relevance, recency, popularity, and quality, and generating a recommended papers list.
Workflow
Step 1: Collect Context
- Get the current date (YYYY-MM-DD)
- Read research configuration from the News Dashboard config (passed via arguments or environment)
- Scan existing notes to build a keyword index
Step 2: Search Papers
Execute the search script (scripts are located in server/scripts/research-news/):
cd server/scripts/research-news
python search_arxiv.py \
--config "$CONFIG_PATH" \
--output arxiv_filtered.json \
--max-results 200 \
--top-n 10 \
--categories "cs.AI,cs.LG,cs.CL,cs.CV,cs.MM,cs.MA,cs.RO"
Step 3: Read Filtered Results
Read arxiv_filtered.json containing scored and ranked papers.
Step 4: Generate Recommendations
Create a structured recommendation list with:
- Paper title, authors, links
- Score breakdown (relevance 40%, recency 20%, popularity 30%, quality 10%)
- Matched research domains and keywords
Step 5: Auto-link Keywords (Optional)
cd server/scripts/research-news
python scan_existing_notes.py --vault --output existing_notes_index.json
python link_keywords.py --index existing_notes_index.json --input input.md --output output.md
