Fact Sheet

Generate a scored top-100 fact sheet with category limits and time-decay scoring.

21|4|Updated Feb 20, 2026
One-click install
npx skills add https://github.com/arunoda/OkBrain --skill fact-sheet
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: Fact Sheet
Source: https://github.com/arunoda/OkBrain/tree/main/.agent/skills/fact_sheet
Command: npx skills add https://github.com/arunoda/OkBrain --skill fact-sheet

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) and assets (resource) components.

What problem does it solve?

This Skill addresses the challenge of providing AI models with the most relevant and impactful information from a user's knowledge base, ensuring contextually rich and accurate responses.

Core Features & Use Cases

  • Scored Fact Generation: Automatically creates a ranked list of the top 100 facts based on recency and category importance.
  • Context Injection: Provides curated facts to chat and highlight workers for enhanced AI understanding.
  • Periodic Regeneration: Ensures the fact sheet remains up-to-date by regenerating after fact extraction cycles.
  • Use Case: When a user asks a question, the AI can access a highly relevant, pre-filtered set of facts about the user's projects, technical details, and core information, leading to more informed and personalized answers.

Quick Start

Ask the AI to generate a fact sheet for the current user.

Frequently Asked Questions about Fact Sheet

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

FAQPage Schema
How do I provide curated facts for AI context to improve chat responses?

To provide curated facts for AI context, you can generate a scored fact sheet that combines category weights with time-decay scoring. This automatically assembles a top-100 list of relevant facts and injects them into chat and highlights workers for enhanced AI understanding.

How does time-decay scoring work for knowledge management and fact generation?

Time-decay scoring for fact generation weights recently extracted information higher than older data. It combines these time scores with predefined category weights to rank facts, ensuring the AI context prioritizes the most current and impactful knowledge.

How do I deduplicate and manage fact sheet storage for information retrieval?

Fact sheet storage and retention are managed in a dedicated database table. The system periodically regenerates the top-100 list after fact extraction cycles, handling deduplication and data curation to ensure the stored context remains current and accurate.

Can I limit the number of facts injected into AI context from a specific category?

Yes, the fact generation process enforces category limits when assembling the top-100 list of facts. This ensures balanced data curation by preventing any single category from dominating the injected AI context.

When do I need to regenerate a fact sheet after extracting new information?

You need to regenerate the fact sheet periodically after fact extraction cycles complete. This ensures the curated knowledge base remains up-to-date by applying time-decay scoring to recent extractions and refreshing the injected AI context.