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Search for research papers and academic content using Exa.
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Merge or squash-merge a pull request and report best-effort remote and local source-branch cleanup. Use when user says "merge this PR", "squash merge", "md", "smd", or anything about merging pull requests.
(devtools plugin) Create a branch, commit changes, push, and open a PR — or just commit+push+PR if already on a feature branch. Links related issues from GitHub or Linear based on project tracker config.
Automate the release process. Use when user says "cut a release", "new version", "bump version", "publish release", or anything about versioning and publishing.
Plan, draft, and execute Exa deep-research workflows. Use when the user wants staged research planning, cost-aware discovery before deep synthesis, or an explicit deep-research report. Also use when the user asks to refine a research question, compare options, explore a market or technical landscape, gather sources cheaply before synthesis, or decide whether deep research is necessary.
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Company research using Exa search. Finds company context, competitors, and market signals.
| name | research-paper-search |
| description | Search for research papers and academic content using Exa. |
| context | fork |
Use this skill for discovering academic papers, arXiv/preprint work, methods comparisons, literature scans, and evidence-weighted technical summaries.
| Intent | Primary Tool | Notes |
|---|---|---|
| Paper discovery | web_search_advanced_exa with category: "research paper" | Use when available; domain filters such as arxiv.org can improve signal. |
| Broad discovery when advanced search is unavailable | web_search_exa | Include topic, method names, and paper/source terms. |
| Evidence-weighted synthesis across papers | web_research_exa | Use when enabled; specify evidence quality and caveat requirements. |
| One-off definition or quick answer | web_answer_exa | Keep it concise and citation-focused. |
| Read abstracts or paper pages | web_fetch_exa | Fetch selected paper URLs when snippets are insufficient. |
| Find related papers from one seed paper | web_find_similar_exa | Use when a seed URL is clearly on-topic. |
If opt-in tools are unavailable, use web_search_exa plus selective web_fetch_exa and produce a smaller sourced summary.
{ "query": "LLM fine-tuning methods instruction tuning preference optimization", "category": "research paper", "includeDomains": ["arxiv.org"], "numResults": 10 }{ "url": "https://arxiv.org/abs/2305.18290", "excludeSourceDomain": false, "numResults": 8 }{ "query": "Summarize methodological differences between instruction tuning, RLHF, DPO, and newer preference optimization methods for large language models.", "systemPrompt": "Prioritize peer-reviewed papers, arXiv papers with clear methods sections, and papers with empirical comparisons. Separate findings from speculation and call out methodology limits.", "outputSchema": { "type": "text" } }paper, arXiv, benchmark, survey, method.