agent-chronicle

Generate AI agent diary entries from OpenClaw session logs.

Updated Mar 11, 2026
One-click install
npx skills add https://github.com/ISAQQSAI/SkillAttack --skill agent-chronicle-isaqqsai
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-chronicle
Source: https://github.com/ISAQQSAI/SkillAttack/tree/main/data/hot100skills/098_robbyczgw-cla_agent-chronicle
Command: npx skills add https://github.com/ISAQQSAI/SkillAttack --skill agent-chronicle-isaqqsai

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

AI agents often need a private, structured, and persistent way to capture daily experiences, emotions, learnings, and interactions to discover patterns and improve collaboration with humans.

Core Features & Use Cases

  • Quote Hall of Fame to preserve memorable utterances from humans.
  • Curiosity Backlog to track questions and topics for future exploration.
  • Decision Archaeology to log judgment calls and reasoning for later review.
  • Relationship Evolution to document how interactions with a human evolve over time.
  • Mood analytics and weekly digests to surface emotional trends and actionable insights.
  • On This Day resurfacing to reconnect today with meaningful past entries (7/30/365 days ago).
  • Cron auto-generation to run daily diary creation with minimal maintenance.
  • Memory integration to optionally append diary summaries to the main memory log.

Quick Start

Run the generation flow to start producing AI diary entries with minimal configuration.

Frequently Asked Questions about agent-chronicle

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

FAQPage Schema
How do I create a persistent journal for an AI agent's daily experiences and learnings?

To create an AI agent journal, you can use a skill that reads session logs and persistent metadata to generate structured diary entries capturing daily experiences, emotions, and learnings in a searchable format.

Can I track AI agent mood analytics and emotional trends over time?

Yes, you can track AI agent mood analytics by processing session logs to produce weekly digests that surface emotional trends and actionable insights from the generated diary entries.

How do I automate daily diary creation for an AI agent with minimal maintenance?

You can automate daily diary creation by using cron auto-generation within an OpenClaw sessions_spawn workflow to automatically produce and persist entries without manual intervention.

Do I need Python and OpenClaw to generate AI agent memory logs and digests?

Yes, generating these AI agent memory logs and digests requires Python and the OpenClaw sessions_spawn workflow to read session logs and produce rich diary entries.

What is the best way to resurface meaningful past interactions from an AI memory log?

The best way to resurface past interactions is using an On This Day feature that reconnects current sessions with meaningful memory log entries from 7, 30, or 365 days ago.

How does tracking relationship evolution with a human improve AI agent collaboration?

Tracking relationship evolution documents how interactions with a human change over time within a searchable diary, helping discover behavioral patterns to improve human collaboration.