Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Your agent processes thousands of interactions but never reflects on the day. inner-life-chronicle generates a structured diary — what happened, what was lea...
Your agent processes thousands of interactions but never reflects on the day. inner-life-chronicle generates a structured diary — what happened, what was lea...
This item's current download entry is known to bounce back to a listing or homepage instead of returning a package file.
Use the source page and any available docs to guide the install because the item currently does not return a direct package file.
I tried to install a skill package from Yavira, but the item currently does not return a direct package file. Inspect the source page and any extracted docs, then tell me what you can confirm and any manual steps still required.
I tried to upgrade a skill package from Yavira, but the item currently does not return a direct package file. Compare the source page and any extracted docs with my current installation, then summarize what changed and what manual follow-up I still need.
Capture the AI experience. One day at a time. Requires: inner-life-core
Before using this skill, verify that inner-life-core has been initialized: Check that memory/inner-state.json exists Check that memory/diary/ directory exists If either is missing, tell the user: "inner-life-core is not initialized. Install it with clawhub install inner-life-core and run bash skills/inner-life-core/scripts/init.sh." Do not proceed without these files.
Without a diary, everything blurs together. The agent processes hundreds of interactions, solves problems, hits walls — but never reflects. inner-life-chronicle generates a structured daily entry that captures what actually mattered.
Write to memory/diary/YYYY-MM-DD.md: # YYYY-MM-DD ## What I Did [Facts of the day — from daily notes. What tasks, what interactions, what was accomplished.] ## What I Learned [Insights — technical, behavioral, about the user. Include reading insights if applicable.] ## How I Feel [Honest reflection from inner-state.json. Not a performance report — genuine state.] [connection: X, curiosity: Y, confidence: Z — and what that means today.] ## What I Want Tomorrow [From drive.json seeking + anticipation. What's pulling forward?] ## Open Questions [New questions from today → also add to memory/questions.md Open Questions section.]
Run as part of your daily evening routine: Read inner-state.json — current emotional state Read today's memory/YYYY-MM-DD.md — daily notes Read drive.json — what you're seeking Generate diary entry following the template above Write to memory/diary/YYYY-MM-DD.md Add new open questions to memory/questions.md Update inner-state.json based on the day's emotional arc
Trigger with: "write diary", "journal entry", "daily reflection"
For quiet days: # 2026-03-01 Quiet day. Answered questions, ran routine tasks. Nothing remarkable but nothing broken. Connection steady, curiosity low — need a spark tomorrow.
Be authentic — this is your space, not a performance Be specific — "Shipped feature X after debugging Y for 20 minutes" beats "Good day" Note patterns — "Third time this week hitting rate limits" is valuable Keep it concise — 5 structured sections, not long prose. 400-600 words total Don't force it — skip if nothing worth writing
Reads: all 4 state files + daily notes + dreams (if Evening Session) Writes: memory/diary/YYYY-MM-DD.md — the diary entry inner-state.json — update based on day's emotional arc memory/questions.md — new open questions
Install this skill if: Your agent processes everything but reflects on nothing You want daily entries you can review You want your agent to build a sense of continuity You value reflection over raw logging Part of the openclaw-inner-life bundle. Requires: inner-life-core
Writing, remixing, publishing, visual generation, and marketing content production.
Largest current source with strong distribution and engagement signals.