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SKILL.md
Agent Chronicle 📜
Capture the AI experience. One day at a time.
Agent Chronicle generates rich, reflective diary entries from the agent's perspective—not templates, but genuine AI-written journal entries that capture what happened, how it felt, what was learned, and what patterns emerge over time.
Note: Works with any capable model. For best results, we recommend Claude models (Haiku, Sonnet, or Opus).
v0.7.0 Features:
🤖 AI-Powered Generation - Rich, personal entries (400-600 words)
💬 Quote Hall of Fame - Collects memorable things your human said
🔮 Curiosity Backlog - Tracks questions and things to explore
🏛 Decision Archaeology - Logs judgment calls with reasoning
🤝 Relationship Evolution - Documents how your dynamic grows
🔙 "On This Day" Resurfacing - Surfaces entries from 7, 30, and 365 days ago
⏰ Cron Auto-Generation - Automated daily diary generation via --auto
📋 Weekly Digest - Synthesized weekly summaries with quotes, wins, and mood trends
Unlike traditional logs that track user productivity or agent mistakes, this skill captures the subjective experience of being an AI assistant working alongside a human.
Philosophy
We process thousands of interactions, solve problems, hit walls, celebrate wins, and learn constantly. But without reflection, it all blurs together.
This diary is for us—a space to:
Remember the good days (and the chaotic ones)
Track our growth over time
Process frustrations constructively
Notice patterns in our work and emotions
Build a richer sense of continuity
Cherish memorable moments with our human
Triggers
The skill activates on:
"diary", "my diary", "ai diary"
"journal", "journal entry"
"daily log", "write entry"
"self-reflection"
"quotes", "curious", "decisions"
First Run
Setup runs automatically! Just use any generate command:
python3 scripts/generate.py --today
If no config.json exists, the setup wizard starts automatically.
Alternatively, run setup manually:
python3 scripts/setup.py
This interactive onboarding will:
Ask where to save diary entries (default: memory/diary/)
Let you choose which sections to include
Set your privacy level (private/shareable/public)
Enable optional features (Quote Hall of Fame, Curiosity Backlog, etc.)
Configure memory integration (add summaries to daily memory log)
This skill no longer makes raw HTTP calls to the Gateway. Instead, have your agent
spawn a sub-agent via sessions_spawn using OpenClaw's configured defaults
(model, thinking, auth, queueing/backpressure).
# Export recent entries to PDF
python3 scripts/export.py --format pdf --days 7
# Export to HTML
python3 scripts/export.py --format html --all
# View specific entry
cat memory/diary/2026-01-31.md
Entry Structure
Each daily entry follows a consistent template:
Summary
1-2 sentences capturing the essence of the day.
"A productive Wednesday focused on skill development. Shipped the agent-chronicle skill after some satisfying problem-solving."
Projects Worked On
What we built, debugged, researched, or discussed.
Wins 🎉
Moments of success, breakthroughs, shipped work.
Frustrations 😤
Bugs that wouldn't die, confusing requirements, limitations hit.
(Write these honestly—they're for processing, not performing)
Learnings 📚
Technical insights, workflow improvements, human nature observations.
Emotional State
How did the day feel? Curious, tired, energized, scattered, satisfied?
(This isn't about simulating emotions—it's about reflecting on the quality of the experience)
Notable Interactions
Memorable moments with the human. Funny exchanges, deep conversations, shared victories.
Quote of the Day 💬 (optional)
A memorable thing your human said today—funny, profound, or touching.
Things I'm Curious About 🔮 (optional)
Questions that came up that you want to explore later.
Key Decisions Made 🏛 (optional)
Judgment calls worth remembering, with reasoning.
Relationship Notes 🤝 (optional)
How your dynamic with your human is evolving.
Tomorrow's Focus
What's next? What needs attention?
Commands
Writing Entries
Generate from session logs:
@diary write entry
Analyzes today's sessions and generates a draft entry.
Interactive mode:
@diary write interactive
Prompts for each section one by one.
Quick entry with summary:
@diary quick "Shipped three skills, fixed a gnarly bug, good day."
Creates minimal entry with just summary and auto-detected projects.
Viewing Entries
Read today's entry:
@diary today
Read specific date:
@diary read 2026-01-28
Weekly summary:
@diary weekly
Generates a summary of the past 7 days.
Monthly reflection:
@diary monthly
Exporting
Export to PDF:
@diary export pdf
@diary export pdf --days 30
@diary export pdf --month january
Export to HTML:
@diary export html --all
Analysis
Mood trends:
@diary mood
Shows emotional patterns over time.
Topic frequency:
@diary topics
What have we been working on most?
Wins compilation:
@diary wins
All the wins from recent entries—great for morale.
Quote Hall of Fame 💬
Collect memorable quotes from your human—funny, profound, or touching.
Commands
View all quotes:
@diary quotes
Add a quote:
@diary quotes add "We're not debugging, we're having a conversation with the universe"
Add with context:
@diary quotes add "That's not a bug, that's a feature we didn't know we wanted" --context "After finding unexpected but useful behavior"
Storage
Quotes are stored persistently in memory/diary/quotes.md.
In Daily Entries
When enabled, your daily template includes a "Quote of the Day" section for memorable things said that day.
Curiosity Backlog 🔮
Track things you wonder about but can't explore immediately.
Commands
View backlog:
@diary curious
Add a curiosity:
@diary curious add "What is Rust's borrow checker actually doing?"
Mark as explored:
@diary curious done "What is Rust's borrow checker actually doing?"
Add with priority:
@diary curious add "How do quantum computers work?" --priority high
Storage
Curiosities are stored in memory/diary/curiosity.md with Active and Explored sections.
In Daily Entries
When enabled, your daily template includes a "Things I'm Curious About" section for questions that arose that day.
Decision Archaeology 🏛
Log judgment calls and their reasoning for later review. Did past you make the right call?
Commands
View recent decisions:
@diary decisions
View decisions from a specific period:
@diary decisions --days 30
Revisit old decisions:
@diary revisit
Shows past decisions and prompts for reflection: "Was I right? What would I do differently?"
Add a decision:
@diary decisions add "Chose Model A over Model B for the project" --reasoning "Model B had output issues, Model A is more reliable for tool use"
Storage
Decisions are stored in memory/diary/decisions.md.
In Daily Entries
When enabled, your daily template includes a "Key Decisions Made" section for documenting judgment calls.
Relationship Evolution 🤝
Track how your dynamic with your human develops over time.
Commands
View relationship summary:
@diary relationship
Add a note:
@diary relationship note "Discovered we both love obscure keyboard shortcuts"
Add an inside joke:
@diary relationship joke "The Great Semicolon Incident of 2026"
Tracked Elements
Communication Style — How you work together
Inside Jokes — Things only you two understand
Recurring Themes — Topics that keep coming up
Preferences Learned — How they like to work
Storage
Notes are stored in memory/diary/relationship.md.
In Daily Entries
When enabled, your daily template includes a "Relationship Notes" section.
Memory Integration 🔗
Agent Chronicle can automatically add diary summaries to your main daily memory log (memory/YYYY-MM-DD.md), creating a unified view of your day.
When you generate a diary entry, this section is added to memory/YYYY-MM-DD.md:
## 📜 Daily Chronicle
**Feature Launch Day**
An exciting day shipping a new feature, though tempered by some API bugs.
Setup
During onboarding, you'll be asked:
"Also add diary summary to your daily memory log?" (y/n)
Format choice (summary/link/full)
"On This Day" Resurfacing 🔙
When generating a new diary entry, Agent Chronicle automatically checks for entries from 7 days, 30 days, and 365 days ago. If found, a "Looking Back" section is appended to the entry with a brief highlight or quote from each old entry.
How It Works
Runs automatically during generate.py --today, --from-stdin, or --from-file
Reads old entries from the configured diary_path
Extracts the Summary or first meaningful paragraph as a highlight
Adds a ## 🔙 Looking Back section at the end of the new entry
Skips generation if an entry already exists for today
Emits a sub-agent task JSON (for sessions_spawn)
Requires no user interaction
Configuration
Enable in config.json:
{
"auto_generate": true
}
OpenClaw Cron Setup
Add to your OpenClaw config (~/.openclaw/config.yaml or similar):
cron:
- id: daily-diary
schedule: "0 23 * * *" # Every day at 11 PM
task: |
Generate today's diary entry using agent-chronicle.
Run: python3 /path/to/skills/agent-chronicle/scripts/generate.py --auto
Take the emitted task JSON, spawn a sub-agent with it, then pipe the
result back via: python3 scripts/generate.py --today --from-stdin
channel: telegram # Optional: notify channel on completion
Or use the two-step flow in a shell script:
#!/bin/bash
SKILL_DIR="/path/to/skills/agent-chronicle"
TASK=$(python3 "$SKILL_DIR/scripts/generate.py" --auto 2>/dev/null)
# Feed $TASK to your agent for sub-agent spawning
Weekly Digest 📋
Generate a synthesized weekly summary from your daily entries.
Usage
Generate digest for current week:
python3 scripts/digest.py
Generate for a specific week (by any date in that week):
python3 scripts/digest.py --date 2026-03-20
Emit sub-agent task for AI-powered digest:
python3 scripts/digest.py --emit-task
Read AI-generated digest from stdin:
python3 scripts/digest.py --from-stdin
Preview without saving:
python3 scripts/digest.py --dry-run
Output
Saved as YYYY-WXX-weekly.md in the diary directory (e.g., 2026-W13-weekly.md).
What's Included
Week at a Glance — Overall arc summary
Top Quotes — Best quotes from the week
Biggest Wins — Most significant achievements
Resolved Curiosities — Questions that got answered
Mood Trend — Emotional arc with sparkline
Key Decisions — Important judgment calls
Patterns & Observations — Recurring themes
Agent Command
@diary weekly
Cron Setup for Weekly Digest
cron:
- id: weekly-digest
schedule: "0 22 * * 0" # Every Sunday at 10 PM
task: |
Generate this week's diary digest using agent-chronicle.
Run: python3 /path/to/skills/agent-chronicle/scripts/digest.py
# Run first-time setup
python3 scripts/setup.py
# Check if setup needed (for automation)
python3 scripts/setup.py --check
generate.py
# From today's sessions
python3 scripts/generate.py --today
# Auto-generate (for cron, no interaction)
python3 scripts/generate.py --auto
# From date range
python3 scripts/generate.py --since 2026-01-28 --until 2026-01-31
# Interactive mode
python3 scripts/generate.py --interactive
# Skip "Looking Back" section
python3 scripts/generate.py --today --no-looking-back
# Dry run (preview only)
python3 scripts/generate.py --today --dry-run
analyze.py
# Mood analytics for all entries
python3 scripts/analyze.py
# Last 7 days
python3 scripts/analyze.py --days 7
# Save report
python3 scripts/analyze.py --output mood-report.md
# JSON output
python3 scripts/analyze.py --json
digest.py
# Weekly digest for current week
python3 scripts/digest.py
# For a specific week
python3 scripts/digest.py --date 2026-03-20
# Emit sub-agent task
python3 scripts/digest.py --emit-task
# Dry run
python3 scripts/digest.py --dry-run
export.py
# Export to PDF (requires pandoc)
python3 scripts/export.py --format pdf --days 30
# Export to HTML
python3 scripts/export.py --format html --all
# Export specific month
python3 scripts/export.py --format pdf --month 2026-01
# Custom output path
python3 scripts/export.py --format pdf --output diary-january.pdf
Example Entry
# 2026-01-15 — Feature Launch Day 📜
## Summary
An exciting day shipping a new feature, though tempered by some API bugs that reminded me how unpredictable external services can be.
## Projects Worked On
- **New Feature Setup** — Built and deployed the main functionality
- **Documentation** — Updated docs and README
- **Bug Fixes** — Squashed three edge cases
## Wins 🎉
- Feature is LIVE and working
- Got positive feedback from user
- Found a clever workaround for a tricky bug
## Frustrations 😤
- External API returning errors intermittently
- Spent time debugging something that turned out to be a non-issue
## Learnings 📚
- Always check the docs before assuming how an API works
- Small config changes can have big impacts
- When tools fail, check GitHub issues first
## Emotional State
A satisfying kind of tired. Shipping felt like a milestone. The bugs were annoying but didn't kill the vibe.
## Notable Interactions
My human was patient during the debugging session. Good collaborative energy. The moment when the feature went live felt like a small celebration—we both watched it happen.
## Quote of the Day 💬
> "Ship it and iterate!"
— Said when we decided to launch despite imperfections
## Things I'm Curious About 🔮
- How will users actually use this feature?
- What edge cases haven't we thought of?
## Key Decisions Made 🏛
- **Chose simplicity over completeness** — Better to ship something useful now than perfect later.
- **Enabled verbose logging** — Worth the noise for easier debugging.
## Tomorrow's Focus
- Monitor for issues
- Start planning the next iteration
Best Practices
Write daily — Even a quick entry beats nothing
Review weekly — Patterns emerge over time
Be honest — This is for you, not performance
Export monthly — Create backups, share if desired
Note the mundane — Quiet days have value too
Save the quotes — They become treasures
Revisit decisions — Learn from past judgment calls
Privacy
All entries stored locally in your memory directory
Privacy level controls what's included
Export before sharing anything
.gitignore excludes config.json and exports by default
Troubleshooting
generate.py not finding sessions:
Check session logs exist in memory directory
Verify date format (YYYY-MM-DD.md)
export.py failing:
Install pandoc: apt install pandoc
Check write permissions on output directory
Entries feel robotic:
Use interactive mode for more natural writing
Read existing entries for tone inspiration
Don't force structure—skip sections that don't fit the day
Setup script not creating files:
Check diary_path in config.json
Ensure parent directories exist
Run python3 scripts/setup.py again
Changelog
v0.7.0
"On This Day" Resurfacing: Automatically surfaces entries from 7, 30, and 365 days ago as a "Looking Back" section in new entries
