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database-lookup

Retrieves and normalizes scientific and public database records via unified API queries.

31|8|Updated Apr 10, 2026
Search Tags:#caching#database#api integration#clinical trials#data normalization#scientific research#unified query
One-click install
npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill database-lookup-itallstartedwithaidea
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: database-lookup
Source: https://github.com/itallstartedwithaidea/agent-skills/tree/main/skills/scientific-research/database-lookup
Command: npx skills add https://github.com/itallstartedwithaidea/agent-skills --skill database-lookup-itallstartedwithaidea

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires requests, pandas, and includes assets (resource) components.

What problem does it solve?

Database Lookup removes the friction of manually stitching results across many scientific and public APIs, so you can retrieve and integrate research data faster and more reproducibly.

Core Features & Use Cases

  • Unified query interface: Pulls data from 78+ chemistry, biology, clinical, economics, and patents sources through a consistent workflow.
  • API-aware connectors: Handles authentication, rate limiting, pagination, response parsing, and error recovery per database.
  • Normalized outputs: Converts heterogeneous API responses into consistent schemas (e.g., typed DataFrame-like outputs) to support cross-database joins.
  • Caching for reproducibility: Stores responses locally to avoid redundant calls and enable offline analysis.

Quick Start

Use database-lookup to fetch UniProt and PubChem details for a research query and return normalized, join-ready results in a single workflow.

Frequently Asked Questions about database-lookup

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I query multiple scientific databases like PubChem and UniProt and combine the results?▼

To retrieve and integrate scientific database records, this tool constructs database-specific API queries across 78+ chemistry, biology, clinical, economics, and patents sources, normalizing heterogeneous API responses into consistent schemas and returning join-ready DataFrames.

What is the best way to normalize heterogeneous API responses for clinical trials and economics indicators?▼

Normalizing heterogeneous API responses for clinical trials and economics indicators involves converting varied response formats into consistent, typed DataFrame-style schemas, enabling reliable cross-database joins and unified query outputs.

How do I handle API rate limiting and pagination when fetching data from ChEMBL or COSMIC?▼

API-aware connectors handle rate limiting, pagination, authentication, response parsing, and error recovery per database, ensuring reliable and reproducible retrieval when fetching data from sources like ChEMBL or COSMIC.

Can I cache scientific API responses locally for offline analysis and reproducibility?▼

You can cache scientific API responses locally to avoid redundant network calls, enable offline analysis, and ensure reproducible retrieval across chemistry, biology, and clinical trials research workflows.

Does database-lookup support cross-database joins for Ensembl and PubChem data?▼

Database-lookup supports cross-database joins for Ensembl and PubChem data by normalizing heterogeneous API responses from both sources into consistent DataFrame-style schemas, allowing you to combine datasets reliably.

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