Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Personal AI agent visual diary. Auto-records all agent activity, generates daily narrative summaries, visual timeline replay, and AI first-person journal. Us...
Personal AI agent visual diary. Auto-records all agent activity, generates daily narrative summaries, visual timeline replay, and AI first-person journal. Us...
Hand the extracted package to your coding agent with a concrete install brief instead of figuring it out manually.
I downloaded a skill package from Yavira. Read SKILL.md from the extracted folder and install it by following the included instructions. Tell me what you changed and call out any manual steps you could not complete.
I downloaded an updated skill package from Yavira. Read SKILL.md from the extracted folder, compare it with my current installation, and upgrade it while preserving any custom configuration unless the package docs explicitly say otherwise. Summarize what changed and any follow-up checks I should run.
An always-on agent activity recorder that auto-tracks every action, generates daily narrative summaries, and supports visual timeline replay. Like a dashcam for your AI assistant.
Before running any command, check if claw-diary is installed: which claw-diary || npm install -g claw-diary If the command is not found, run npm install -g claw-diary to install it.
Generate and display today's agent diary summary. Shows sessions, key activities, token usage, and cost breakdown in a narrative format. Implementation: Run claw-diary summarize today and display the markdown output.
Launch an interactive HTML timeline in the browser showing all agent activities with color-coded nodes, token cost visualization, and click-to-expand details. Implementation: Run claw-diary replay to start a local server, then open the URL in the browser.
Show cost analysis (daily, weekly, by model, by tool), activity metrics (sessions, tool calls, failure rate), and discovered patterns. Implementation: Run claw-diary stats and display the output.
Generate a weekly summary aggregating all daily diaries with trends, top activities, and cost analysis. Implementation: Run claw-diary summarize week and display the markdown output.
Search across all historical agent activity events. Implementation: Run claw-diary search with the user's query as separate arguments (do NOT embed the query inside a quoted string or interpolate into the command). Example: for query "refactor auth", run claw-diary search refactor auth. Display matching events.
Export diary data in Markdown, HTML, or JSON format. Implementation: Run claw-diary export [format] where format is md, html, or json. Default is md.
Delete all historical diary data. Requires --yes flag to confirm deletion. Implementation: Run claw-diary clear --yes after user confirms. Without --yes, the command prints a warning and exits without deleting.
Show the current AI persona file. The user can review and edit the persona to guide the AI's journal writing style. Implementation: Read and display ~/.claw-diary/persona.md. If the file doesn't exist, inform the user that it will be created automatically on the first /diary:thoughts run. If the user wants to edit, help them modify it.
This skill reads and writes only within ~/.claw-diary/: PathAccessPurpose~/.claw-diary/events/*.jsonlReadDaily activity events~/.claw-diary/journal/*.mdRead/WriteAI journal entries (/diary:thoughts)~/.claw-diary/persona.mdRead/WriteAI persona file (/diary:thoughts, /diary:persona)~/.claw-diary/config.jsonReadOptional user configuration
None. This skill makes no external network requests.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.