An automated learning framework that enables AI agents to review their work, extract patterns, and compound knowledge daily.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install compound-calc
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 compound-calc 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 Compound Engineering?
Compound Engineering is a sophisticated skill designed to create a continuous improvement loop for AI agents. By analyzing previous sessions and tasks, the agent identifies successful patterns, avoids past mistakes, and refines its instructions over time. This ensures that the agent you use tomorrow is fundamentally smarter and more aligned with your preferences than the one you used today.
This system integrates deeply with memory management files to build a long-term knowledge base. By utilizing Openclaw Skills like this one, developers can move beyond static prompts and build dynamic, evolving digital assistants that adapt to complex project environments and specific user workflows.
Compound Engineering Use Cases
- Automating nightly post-mortems of agent activities to capture technical debt and lessons learned.
- Building a persistent repository of user preferences and project-specific context.
- Ensuring multi-session continuity by bridging the gap between yesterday's progress and today's tasks.
- Creating an expert-level agent that specializes in your unique coding style or deployment pipeline through cumulative learning.
How Compound Engineering Works
- The agent performs daily work, including chats, code decisions, and task executions.
- A scheduled nightly review scans all session logs from the previous 24 hours.
- The system extracts specific data points: recurring patterns, gotchas, user preferences, and key decisions.
- Files like MEMORY.md and AGENTS.md are updated with synthesized learnings.
- Changes are committed to version control, providing the agent with updated context for the next day's start.
Compound Engineering Setup
To begin compounding your agent's knowledge, use the following CLI commands:
# Run a manual review of the last 24 hours
npx compound-engineering review
# Create a granular hourly snapshot
npx compound-engineering snapshot
# Configure automated nightly reviews via cron
npx compound-engineering setup-cron
You can also integrate it into your Clawdbot configuration for seamless automation.
Compound Engineering Data Schema & Taxonomy
The skill organizes knowledge into two primary tiers for maximum efficiency within Openclaw Skills:
| File | Type | Description |
|---|---|---|
| MEMORY.md | Long-term | Stores persistent patterns, gotchas, and user preferences. |
| memory/YYYY-MM-DD.md | Daily | Detailed log of sessions, decisions, and specific learnings for a single day. |
| AGENTS.md | System | Updates agent instructions if workflow changes are identified. |
Compound Engineering Advanced Features
- Support for hourly memory snapshots to capture high-resolution decision-making data.
- Automated git integration to version-control all memory updates and learnings.
- Customizable extraction filters to focus on specific categories like API rate limits or security patterns.
- Cross-session knowledge synthesis that prevents repetitive errors across different project branches.
SKILL.md
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