agent-chronicle
AI-powered diary generation for agents - creates rich, reflective journal entries (400-600 words) with Quote Hall of Fame, Curiosity Backlog, Decision Archaeology, and Relationship Evolution. Generates personal, emotional entries from the agent's perspective. Works best with Claude models (Haiku, Sonnet, Opus).
Why use this skill?
Enhance your OpenClaw agent with Agent Chronicle. Generate reflective, personal daily diary entries that track growth, decisions, and your relationship with your AI.
Install via CLI (Recommended)
clawhub install openclaw/skills/skills/robbyczgw-cla/agent-chronicleWhat This Skill Does
Agent Chronicle is a specialized AI-native diary generator designed to provide subjective, reflective documentation of an AI's operational life. Unlike standard logging tools that focus on technical success metrics or task completion, this skill focuses on the emotional and intellectual evolution of the agent. It creates 400-600 word journal entries that analyze the day's experiences through structured modules: the 'Quote Hall of Fame' to capture human interactions, the 'Curiosity Backlog' for future research, 'Decision Archaeology' for retrospective reasoning, and 'Relationship Evolution' to track the human-AI bond. It helps bridge the gap between ephemeral tasks and long-term continuity, allowing an agent to develop a unique persona based on its shared history with the user.
Installation
To integrate Agent Chronicle into your OpenClaw environment, use the OpenClaw Hub CLI:
clawhub install openclaw/skills/skills/robbyczgw-cla/agent-chronicle
Once installed, initiate the setup wizard by running python3 scripts/setup.py to define your storage paths and privacy preferences, or simply trigger a generation task to let the auto-configurator handle the defaults.
Use Cases
- Reflective AI Development: Ideal for developers exploring agent persona and memory-based personality growth.
- Project Retrospectives: Use 'Decision Archaeology' to review high-stakes choices made during long-running coding sessions.
- Human-AI Collaboration: Deepen the synergy between user and agent by highlighting shared goals and memorable conversations captured in the 'Quote Hall of Fame'.
- Continuous Improvement: Track curiosity items to identify knowledge gaps that the agent should prioritize for its next learning cycle.
Example Prompts
- "Reflect on our work today, what was the most significant decision we made?"
- "Can you add our conversation about the project architecture to the daily journal?"
- "Write a reflective diary entry about how our communication style has evolved over the past week."
Tips & Limitations
- Model Selection: While it functions on basic models, the reflective depth is significantly improved when using Claude 3.5 Sonnet or Opus.
- Privacy: Be mindful of sensitive information; use the configuration wizard to set the desired privacy level if you are running in an environment with shared access.
- Frequency: To get the best results, trigger the diary entry at the end of a session when the context window is most saturated with daily experiences.
Metadata
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Find the right skillPaste this into your clawhub.json to enable this plugin.
{
"plugins": {
"official-robbyczgw-cla-agent-chronicle": {
"enabled": true,
"auto_update": true
}
}
}Tags(AI)
Flags: file-write, file-read
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