Retrieve reproducible records from public scientific and clinical databases.
npx skills add https://github.com/dralkh/seerai --skill database-lookup-dralkh
Please help me install this Agent Skill. Skill: database-lookup Source: https://github.com/dralkh/seerai/tree/main/skills/database-lookup Command: npx skills add https://github.com/dralkh/seerai --skill database-lookup-dralkh
This Skill turns broad research questions into deterministic database lookups so you can retrieve authoritative facts, not vague summaries, from public scientific, clinical, environmental, financial, and demographic sources.
Ask the database-lookup skill to find the authoritative record, retrieve it with explicit filters, and return a concise provenance-backed result table.
High-intent search queries and answers about installing and using this skill.
Reproducible database lookup requires explicit identifiers, API-specific filters, and pagination to fetch authoritative records from scientific databases. It returns auditable results with endpoints, parameters, and access dates so downstream analysis stays verifiable.
Identifier resolution maps explicit identifiers to authoritative records across clinical trials, genes, and variants. It handles source-specific quirks and identifier conversion to ensure accurate, reproducible retrieval from public scientific databases.
Handling pagination and rate limits involves using API-specific filters and count reconciliation when querying environmental and financial databases. This ensures exhaustive searches return complete datasets while respecting source constraints for trustworthy results.
Yes, database lookup selects the right source automatically based on your query domain, covering compounds, proteins, and pathways. It requires explicit identifiers but manages source selection so you do not need to specify the exact database.
Incomplete results often occur when pagination and count reconciliation are not applied during database lookup for economic indicators and demographic data. Proper identifier resolution and rate-limit awareness ensure exhaustive searches return full datasets.
The best way to ensure provenance during database lookup is to retrieve records with explicit identifiers and return auditable results including endpoints, parameters, and access dates. This guarantees astronomy and weather data retrieval remains fully reproducible.
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