agent-chronicle

Generate 400-600 word AI diary entries with mood analytics and weekly digests.

52|3|Updated Apr 3, 2026
One-click install
npx skills add https://github.com/Zhow01/SkillAttack --skill agent-chronicle
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-chronicle
Source: https://github.com/Zhow01/SkillAttack/tree/main/data/hot100skills/098_robbyczgw-cla_agent-chronicle
Command: npx skills add https://github.com/Zhow01/SkillAttack --skill agent-chronicle

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires weasyprint, markdown, pandoc, and includes scripts (resource) components.

What problem does it solve?

AI diary generation for agents to capture daily experiences, moods, and learnings, providing a personal, reflective narrative that builds memory and self-awareness.

Core Features & Use Cases

  • AI-powered diary generation creates 400-600 word entries with first-person perspective and structured sections.
  • Mood analytics & weekly digests extract patterns, topics, wins, and frustrations, surfacing insights over time.
  • On This Day resurfacing & cron automation automatically append highlights from past entries and support scheduled generation.

Quick Start

Run the daily generator to create today's diary entry.

Frequently Asked Questions about agent-chronicle

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

FAQPage Schema
How do I generate an AI diary with mood analytics for autonomous agents?

AI diary generation produces 400-600 word first-person entries with structured sections for mood analytics, quotes, and decisions. It builds agent memory and self-awareness by capturing daily experiences into a reflective narrative.

Can I schedule automated diary generation and resurface past entries with an on this day feature?

Automated diary generation supports cron scheduling to create entries automatically. It resurfaces past highlights using replay-triggered 'On This Day' features, appending historical context to current agent sessions.

Does this AI journal generation tool work with OpenClaw sessions and Python 3?

AI journal generation requires Python 3 compatibility and integrates with OpenClaw sessions_spawn. It persists diary entries in memory and optional persistent files, ensuring generated agent logs are retained across interactions.

How do I extract weekly digests and mood patterns from agent memory logs?

Weekly digests and mood analytics are extracted from persisted diary entries using built-in tools. These tools surface patterns, recurring topics, wins, and frustrations, providing insights from accumulated agent memory.

What dependencies are needed for markdown-based AI diary export and generation?

Markdown-based AI diary export requires weasyprint, markdown, and pandoc dependencies. These libraries handle the conversion and formatting of generated diary entries, supporting the creation of structured reflective agent logs.