heartbeat

Scan sessions, tasks, and backlog to surface active threads and route categorized insights.

42|9|Updated Feb 15, 2026
One-click install
npx skills add https://github.com/lsnackerman/raw-clauding-skills --skill heartbeat-lsnackerman
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: heartbeat
Source: https://github.com/lsnackerman/raw-clauding-skills/tree/main/heartbeat
Command: npx skills add https://github.com/lsnackerman/raw-clauding-skills --skill heartbeat-lsnackerman

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

As systems grow, it becomes easy to miss emerging signals, connections, and patterns. The heartbeat provides a lightweight, structured reflection that surfaces what’s alive across sessions, tasks, and backlog so you can act on meaningful signals rather than chasing noise.

Core Features & Use Cases

  • Cross-silo reflection: scans sessions, tasks, and backlog to surface active threads and recurring themes.
  • Insight routing: categorizes findings and routes them to the appropriate system docs or task backlogs.
  • Timely prompts: recommended at session starts or pauses to maintain context and alignment.

Quick Start

Run a heartbeat at the start of a session to surface what's alive, what's connecting, and what's emerging.

Frequently Asked Questions about heartbeat

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

FAQPage Schema
How do I surface emerging patterns and active threads across my system sessions?

A system reflection scan identifies active threads, emergent signals, and recurring patterns across sessions and backlogs. It performs a lightweight cross-silo scan to surface what is alive and connecting, routing categorized insights to appropriate system docs.

When should I run a system scan to capture insights and maintain context?

Run a system reflection scan at session starts, pauses, or transitions to maintain context and alignment. Applying the scan at these timely moments surfaces what is alive and emerging, ensuring you act on meaningful signals rather than chasing noise.

How does routing insights to system docs work during a reflective scan?

Routing insights works by categorizing scan findings and directing them to appropriate system docs or task backlogs. A frontmatter-guided workflow reads entry metadata, performs the reflective scan, and outputs categorized insights with specific routing guidelines.

What is the best way to identify emergent signals without chasing noise in a growing system?

The best way to identify emergent signals without chasing noise is to apply a lightweight, structured reflection that scans across silos. This process filters system data to surface active threads and connecting patterns, routing actionable insights to appropriate docs.

Does a system reflection scan require any dependencies or specific components?

A system reflection scan requires no external dependencies or specific components. It operates as a standalone frontmatter-guided workflow, reading the entry name and description to perform the scan and output categorized insights with routing guidelines.

Can I use a system scan to route findings to my existing task backlogs?

Yes, you can use a system scan to route findings to existing task backlogs. The scan categorizes emergent signals and active threads, providing routing guidelines that direct these actionable insights to the appropriate system docs or task backlogs.