skills.rest
quaid-app
quaid-appOFFICIAL
Explore all skills by this author →
WebsiteGitHub

quaid-enrich

Store raw API responses and extract structured facts into compiled_truth and timelines.

3|3|Updated Apr 13, 2026
Search Tags:#memory#exa#enrichment#knowledge-graph#data-extraction#crustdata#partiful
One-click install
npx skills add https://github.com/quaid-app/quaid --skill quaid-enrich
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: quaid-enrich
Source: https://github.com/quaid-app/quaid/tree/main/skills/enrich
Command: npx skills add https://github.com/quaid-app/quaid --skill quaid-enrich

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Enrich brain pages with external data from Crustdata, Exa, and Partiful. Raw API responses are stored in memory_raw, then structured facts are extracted into compiled_truth and assertions, enabling idempotent enrichment and safe conflict handling.

Core Features & Use Cases

  • Store raw API responses to serve as an auditable anchor.
  • Extract structured facts and write them into compiled_truth and timelines.
  • Handle conflicts by flagging contradictions and preserving provenance, while supporting re-extraction when enrichment logic improves.

Quick Start

Ingest external data to enrich brain pages by running the enrichment pipeline on the target page slug.

Frequently Asked Questions about quaid-enrich

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

FAQPage Schema
How do I enrich a knowledge graph with external company data from APIs?▼

To enrich a knowledge graph with external company data, store raw API responses as an auditable anchor, then extract structured facts into compiled truth and timelines. This enables idempotent enrichment and safe conflict handling for company records.

What is the best way to store raw API responses for data extraction?▼

The best way to store raw API responses for data extraction is to save them in memory raw storage. This serves as an auditable anchor before extracting structured facts into compiled truth and assertions.

How do I handle conflicts when extracting structured facts from external data sources?▼

To handle conflicts during fact extraction, flag contradictions and preserve provenance. This approach supports idempotent re-extraction when enrichment logic improves, ensuring data integrity across local knowledge graphs.

Can I use Crustdata, Exa, and Partiful to enrich people and companies?▼

Yes, you can use Crustdata, Exa, and Partiful to enrich companies and people. The pipeline automates integration of these external data sources into brain pages across local knowledge graphs and memory.

How do I run an enrichment pipeline on a target page slug?▼

To run an enrichment pipeline on a target page slug, ingest external data by triggering the pipeline on that specific slug. This automates storing raw API responses and extracting structured facts into compiled truth.

Related Skills

Explore More Data & Analytics Skills→
Nero-kkNero-kk

wiki-ingest

Ingest documents into an Obsidian wiki as interconnected pages.

Community
Advanced
ltdrewltdrew
1

enrich

Create and update person and company profiles with compiled truth, timelines, and cross-links across knowledge graphs.

Community
Advanced
thecloudtipsthecloudtips
18

memory-notion-sync

Syncs a local SQLite memory store with a Notion database bidirectionally.

Community
Advanced
arbisoftarbisoft
4

exa-search

Execute neural web, code, and company searches via the Exa MCP server.

Official
Intermediate