Requirements
- Target platform
- OpenClaw
- Install method
- Manual import
- Extraction
- Extract archive
- Prerequisites
- OpenClaw
- Primary doc
- SKILL.md
Generates a daily digest from stored memory files, summarizing decisions, lessons, actions, and questions into a dated journal entry.
Generates a daily digest from stored memory files, summarizing decisions, lessons, actions, and questions into a dated journal entry.
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. Then review README.md for any prerequisites, environment setup, or post-install checks. 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. Then review README.md for any prerequisites, environment setup, or post-install checks. Summarize what changed and any follow-up checks I should run.
Purpose: Generate a daily digest from memory and interactions, stored as journals/digest/digest-YYYY-MM-DD.md. Usage: Run the digest_daily.py script to generate today's digest. Optional: integrate with clawdbot to run automatically via a cron job or a scheduler. Notes: The script reads memory/YYYY-MM-DD.md and optionally memory/YYYY-MM-DD.md from yesterday to extract decisions, lessons, actions, and questions. It also provides a placeholder summary when no structured entries exist in memory.
Agent frameworks, memory systems, reasoning layers, and model-native orchestration.
Largest current source with strong distribution and engagement signals.