tavily-ai/use-case-skills

academic-scientific-research

Find, screen, and synthesize academic papers, scientific literature, technical reports, preprints, clinical or biomedical publications, and evidence around a research question.

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Como usar

  1. Copie o comando e verifique o pacote antes de instalar no seu ambiente de agente.
  2. Consulte no original as ferramentas, credenciais e ambientes necessários.
  3. Descreva os dados de entrada e a entrega esperada; confira a saída com as fontes.
npx skills add https://github.com/tavily-ai/use-case-skills --skill academic-scientific-research

Antes de começar

  • A instalação não inclui assinatura de modelo, franquia API ou acesso aos seus arquivos.
  • Estrelas e instalações indicam atividade, não um teste independente de qualidade ou segurança.
Documento original do Skill

Renderizado do repositório de origem, preservando títulos, exemplos, código, tabelas, links e imagens.

Academic Scientific Research

Workflow

Use search to discover scholarly sources, extract to verify source content, map or crawl for known scholarly sites and collections, and research for full literature-review synthesis. Keep this skill focused on research planning, source selection, extraction targets, and evidence synthesis; execution mechanics should come from companion endpoint skills.

Treat the guidance below as base guidance; adapt it to the user's request when appropriate.

  • Translate the user's question into search terms, synonyms, key entities, and likely source domains.
  • Break broad questions into short subqueries under 400 characters: core concept, synonyms, method names, target population or data, benchmark or dataset, author/lab, and year range.
  • Prefer scholarly and official sources when available: preprint servers, PubMed/NIH pages, journals, conference proceedings, professional societies, standards bodies, and official technical reports.
  • Extract from the strongest selected pages after screening titles, snippets, source type, recency, and relevance.
  • Reserve broad research synthesis for full literature reviews, research landscapes, or multi-method comparisons.
  • Distinguish primary studies, review papers, preprints, editorials, guidelines, standards, and news coverage.

Research Budget

  • Start with a small focused search set covering the main concept, synonyms, methods, and source type.
  • Extract only the strongest scholarly sources before drafting the evidence brief.
  • Add more searches only for named gaps, such as missing review papers, missing recent work, or missing primary studies.
  • Do not use map unless a known lab, journal, conference, repository, or documentation site has buried pages.
  • Do not use crawl unless the user needs broad collection from a known proceedings, publication list, or docs section.

Capability Guidance

  • Use search first when the user needs papers, methods, benchmarks, authors, institutions, or recent work.
  • Use extract when comparing a small set of papers, reading abstracts, or verifying study claims.
  • Use map only when a known lab, journal, conference, repository, or documentation site has useful but hard-to-find pages.
  • Use crawl only when the user needs many pages from a known source, such as proceedings, a lab publication list, or a technical docs section.
  • Use research only when the user explicitly needs a full literature review or research landscape.

Query And Source Guidance

  • Pair formal terms with common synonyms and acronyms.
  • Include population, dataset, benchmark, organism, intervention, model, metric, or method terms when relevant.
  • For recent literature, include explicit year ranges or recency language in the query.
  • Prefer primary literature for claims, review papers for landscape summaries, and guidelines/standards for practice recommendations.
  • Deduplicate preprints and final publications; cite the final version when available.
  • Treat abstracts, papers, supplemental pages, tables, and official repositories as separate evidence surfaces.
  • Report failed or inaccessible sources when they affect key papers, guidelines, datasets, or primary evidence.

Output Template

Use this markdown structure and adapt sections to the user's scope:

markdown
# Evidence Brief: <topic>

## Research Question
<brief framing of the question>

## Search Strategy
- Concepts searched:
- Source types prioritized:
- Inclusion logic:
- Exclusions or limitations:

## Key Sources
| Source | Type | Why it matters | URL |
| --- | --- | --- | --- |

## Findings
### <Theme>
- Claim:
- Evidence:
- Limitations:

### <Theme>
- Claim:
- Evidence:
- Limitations:

## Consensus And Disagreement
- Consensus:
- Disagreement:
- Evidence gaps:

## Follow-Up Queries
- <query idea>

For medical, clinical, or biomedical topics, be conservative: do not provide diagnosis or treatment advice, and prioritize primary literature, systematic reviews, guidelines, and official health sources.

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