fact-collector

Fact collection from web sources involves stepwise web search across authoritative references, cross-verification of information, and structured storage. This Skill automates that process by searching, validating facts across multiple sources, and saving them to Markdown files organized by category with provenance data including title, source URL, and date.

Yes. This Skill supports fact-checking and collection across seven predefined categories: cat, dog, rabbit, hamster, plant, coffee, and alcohol. It performs multi-source validation and stores verified facts in category-based Markdown files with full source attribution.

Collected facts are stored in research/facts/{category}.md files with structured provenance data: title, value, source, URL, date, and notes. This organization enables reuse across quiz generation, polling workflows, and validation tasks while maintaining full citation trails.

After collecting and verifying facts through web search and cross-referencing, this Skill stores them in category-organized Markdown files. Those structured fact entries can then feed downstream workflows for quiz creation, polling content generation, and fact validation tasks.

Multi-source validation is built in. The Skill prioritizes authoritative references and performs cross-verification through stepwise web search before storing facts. This reduces the risk of single-source bias and ensures higher confidence in collected information.

The Skill identifies fact categories that need collection and checks for existing facts before running searches. This prevents duplicate work and allows incremental fact collection, letting you add new verified information to established category files without losing prior entries.