BGPT Paper Search
Skill Verifiziert AktivSearch scientific papers and retrieve structured experimental data extracted from full-text studies via the BGPT MCP server. Returns 25+ fields per paper including methods, results, sample sizes, quality scores, and conclusions. Use for literature reviews, evidence synthesis, and finding experimental details not available in abstracts alone.
To enable users to efficiently search scientific papers and retrieve detailed, structured experimental data not typically found in abstracts, supporting tasks like literature reviews and evidence synthesis.
Funktionen
- Search scientific papers
- Retrieve structured experimental data
- Extract methods, results, sample sizes, quality scores
- Return 25+ metadata fields per paper
- Utilize BGPT MCP server
Anwendungsfälle
- Conducting systematic or scoping literature reviews
- Finding quantitative results, sample sizes, or effect sizes across studies
- Comparing methodologies used in different studies
- Looking for papers with quality scores or evidence grading
Nicht-Ziele
- Providing only abstract-based search results
- Replacing traditional literature databases entirely
- Performing novel scientific research itself, but rather facilitating research by providing data
Installation
npx skills add K-Dense-AI/claude-scientific-skillsFührt das Vercel skills CLI (skills.sh) via npx aus — benötigt Node.js lokal und mindestens einen installierten skills-kompatiblen Agent (Claude Code, Cursor, Codex, …). Setzt voraus, dass das Repo dem agentskills.io-Format folgt.
Qualitätspunktzahl
VerifiziertVertrauenssignale
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