log

Capture and categorize agent actions, escalations and failures into dated markdown files.

Updated Feb 22, 2026
One-click install
npx skills add https://github.com/mentilead/growthOS --skill log-mentilead
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: log
Source: https://github.com/mentilead/growthOS/tree/main/skills/observation-logger
Command: npx skills add https://github.com/mentilead/growthOS --skill log-mentilead

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

This Skill provides a structured way to log important observations, decisions, and outcomes during an experiment or project, ensuring that valuable insights are captured and can be reviewed later.

Core Features & Use Cases

  • Quick Capture: Log events rapidly as they happen.
  • Reflection: Add deeper context and reasoning to past observations.
  • Review: Generate monthly summaries of logged events and autonomy progress.
  • Use Case: After an agent makes an autonomous decision during a marketing experiment, use this Skill to log the action, its outcome, and any potential significance, ensuring a clear record for analysis.

Quick Start

Use the log skill to quickly capture what just happened.

Frequently Asked Questions about log

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

FAQPage Schema
How do I track experiment observations and agent actions in markdown files?

To track experiment observations and agent actions in markdown files, this Skill captures and categorizes events by reading and writing persistent state to STATUS.md and MEMORY.md. It ensures valuable insights and outcomes are recorded for later analysis.

What is the best way to log autonomous agent decisions during a project lifecycle?

The best way to log autonomous agent decisions during a project lifecycle is to capture the action, its outcome, and its significance. This Skill categorizes these observations and escalations to maintain a structured markdown record for analysis.

Can I generate monthly summaries of logged events and autonomy progress?

Yes, you can generate monthly summaries of logged events and autonomy progress. This Skill reviews captured observations and experiment tracking data to summarize outcomes and reflect on past project decisions.

How do I add deeper context and reasoning to past experiment tracking logs?

To add deeper context and reasoning to past experiment tracking logs, use the reflection feature. It allows you to append additional insights to existing observations stored in your project markdown files.

Do I need specific markdown files to manage persistent state for experiment tracking?

Yes, you need specific markdown files to manage persistent state for experiment tracking. This Skill requires reading and writing to STATUS.md, MEMORY.md, and related markdown files to log observations and score agent autonomy.