An automated tool that synthesizes daily agent interactions into structured journals for better knowledge retention.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install daily-digest
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install daily-digest using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Daily Digest?
The daily-digest skill is a specialized utility designed to transform raw interaction logs into high-value knowledge assets. By analyzing memory files generated during AI agent sessions, it extracts critical information such as technical decisions, lessons learned, and pending action items. This skill is a core component for developers using Openclaw Skills who want to maintain a clean, searchable history of their agent-assisted workflows without manual intervention.
It provides a bridge between ephemeral chat sessions and permanent documentation. By consolidating data from both current and previous days, it ensures continuity in development projects and helps users track the evolution of their codebase and logic. This skill is essential for maintaining long-term context in complex, multi-day engineering tasks.
Daily Digest Use Cases
- Automating the creation of daily stand-up notes based on actual coding progress.
- Tracking architectural decisions and pivots throughout a project lifecycle.
- Reviewing lessons learned during debugging sessions to prevent future regressions.
- Consolidating outstanding questions into a single document for morning review.
How Daily Digest Works
- The skill accesses the local memory directory to locate markdown files named by date.
- It parses the current day's memory and optionally references the previous day's data for continuity.
- The script extracts specific sections including decisions, lessons, actions, and questions.
- It formats this data into a structured template and saves it to the journals/digest/ directory.
- If no interactions were recorded, it generates a placeholder summary to preserve the chronological timeline.
Daily Digest Setup
To manually trigger a digest generation, run the following command from your terminal:
python digest_daily.py
For automated workflows within the Openclaw Skills framework, you can integrate this with a scheduler or a cron job. To run the digest automatically every night at midnight, add a entry to your crontab:
0 0 * * * /usr/bin/python3 /path/to/skill/digest_daily.py
Daily Digest Data Schema & Taxonomy
The skill organizes data using a predictable file hierarchy and metadata structure:
| Directory | File Pattern | Content Type |
|---|---|---|
memory/ |
YYYY-MM-DD.md |
Source logs and interaction snapshots |
journals/digest/ |
digest-YYYY-MM-DD.md |
Synthesized daily reports |
Each generated digest file includes the following taxonomy:
- Decisions: Architectural or logical choices made during the day.
- Lessons: New insights or solutions discovered.
- Actions: Tasks identified that require future attention.
- Questions: Unresolved queries or areas requiring research.
Daily Digest Advanced Features
- Multi-day context analysis to ensure no lingering tasks from the previous day are forgotten.
- Native integration with clawdbot for event-driven or scheduled automation.
- Flexible placeholder logic that maintains journal integrity even on low-activity days.
- Standardized markdown output compatible with popular PKM tools and other Openclaw Skills.
SKILL.md
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