signal-detector

Capture original thinking and entity mentions from inbound messages into knowledge pages.

Updated Apr 23, 2026
One-click install
npx skills add https://github.com/ngochuy13/intern-dev --skill signal-detector-ngochuy13
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: signal-detector
Source: https://github.com/ngochuy13/intern-dev/tree/main/skills/signal-detector
Command: npx skills add https://github.com/ngochuy13/intern-dev --skill signal-detector-ngochuy13

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

It turns every inbound message into reusable brain knowledge by capturing original thinking and entity mentions automatically and with equal priority.

Core Features & Use Cases

  • Ambient always-on capture: Fires on every inbound message while running silently and without blocking the main response.
  • Original thinking preservation: Stores the user’s exact phrasing as originals/ideas/concepts with required cross-linking.
  • Entity mention enrichment: Detects people and companies, creates or enriches their pages when needed, and records timeline facts with citations and backlinks.

Quick Start

Ask a question or share an insight in your conversation and the skill will silently capture the ideas and entity mentions into the brain pages.

Frequently Asked Questions about signal-detector

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

FAQPage Schema
How do I automatically extract entities and ideas from chat messages into a knowledge base?

Ambient capture detects original thinking and entity mentions like people or companies from every inbound message, automatically creating and updating structured brain pages to grow your knowledge base.

Can I capture ideas from conversations without blocking the main chat response?

Yes, ambient capture runs silently in parallel with always-on triggering, ensuring non-blocking execution so your primary chat session experiences no delays while knowledge extraction happens.

How does entity extraction handle backlinks and citations for referenced concepts?

Entity extraction applies the Iron Law convention to guarantee backlinks and citations, preserving exact phrasing while creating or enriching pages for detected people and companies with timeline facts.

What is the difference between capturing original thinking and referenced concepts in a knowledge base?

Original thinking stores the user's exact phrasing as new ideas, whereas referenced concepts are existing entities that require detection, page enrichment, and cross-linking with timeline facts and citations.

Do I need any specific dependencies or components to run ambient capture for knowledge extraction?

No specific dependencies or components are required. The skill relies on always-on triggering and internal put_page flows to manage page creation and updates within your existing chat environment.

Why does my entity extraction fail to preserve exact phrasing when building brain pages?

Exact-phrasing preservation requires strict adherence to the Iron Law convention during the put_page flow, ensuring original thinking and entity mentions are stored verbatim with proper cross-linking and citations.