Extract structured data from emails and web pages into canonical tracker pages.
npx skills add https://github.com/Ninatuzi/gbrain --skill data-research-ninatuzi
Please help me install this Agent Skill. Skill: data-research Source: https://github.com/Ninatuzi/gbrain/tree/main/skills/data-research Command: npx skills add https://github.com/Ninatuzi/gbrain --skill data-research-ninatuzi
This Skill solves the problem of fragmented, manual data collection by automating the extraction of structured information from emails, web sources, and APIs into a unified, searchable knowledge base.
Use the data research skill to initialize a new tracker recipe for monitoring monthly company revenue updates.
High-intent search queries and answers about installing and using this skill.
Create custom YAML recipes to define specific extraction workflows for automating investor updates, expense tracking, or company metrics. These parameterized recipes guide the pipeline to accurately parse unstructured sources and append structured metrics to your tracker pages.
Deterministic extraction rules ensure data integrity by applying strict classification logic and deduplication checks during the 7-phase pipeline. This maintains backlink consistency by accurately mapping extracted structured data back to the original unstructured source.
Yes, you can monitor your inbox for investor update emails, extract key financial metrics like ARR and burn rate, and append them to a canonical tracker page. The pipeline automatically archives the data with backlinks to the original source email.
The best way to track company metrics is deploying an automated extraction pipeline that pulls fragmented data from web sources and APIs into a searchable knowledge base. It uses built-in integrity checks to ensure clean, structured data archiving.
Yes, you need custom YAML recipes to initialize a new tracker for monitoring monthly revenue updates. These recipes parameterize the extraction pipeline, allowing it to identify and parse the exact financial data points required from your unstructured sources.
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