A documentation-first workflow skill designed to manage OpenClaw configuration, runtime diagnostics, and operational knowledge through a local caching system.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-encyclopedia
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 openclaw-encyclopedia 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 OpenClaw Encyclopedia?
OpenClaw Encyclopedia is a specialized technical skill that implements a rigorous documentation-first workflow for managing OpenClaw environments. It acts as a bridge between official product documentation and local operational realities, ensuring that every command, configuration change, or troubleshooting step is grounded in technical truth rather than guesswork.
By leveraging this Openclaw Skills component, developers can maintain a high-fidelity local cache of official docs while simultaneously recording environment-specific observations. This dual approach ensures that high-sensitivity areas like gateway security, provider routing, and automation design are handled with maximum safety and precision.
OpenClaw Encyclopedia Use Cases
- Troubleshooting OpenClaw runtime diagnostics and gateway behavior.
- Planning and validating complex configuration changes in openclaw.json.
- Designing and auditing automation workflows, heartbeats, and cron jobs.
- Managing skill loading, gating, and pairing processes within a session.
- Recording site-specific deployment layouts and access methods for long-term maintenance.
How OpenClaw Encyclopedia Works
- Task Classification: The skill identifies if a request pertains to OpenClaw-specific semantics versus generic administration.
- Local Cache Inspection: It prioritizes the .OpenClaw-Encyclopedia/ directory to find existing documentation or notes before reaching out to the web.
- Official Documentation Consultation: If the cache is insufficient, it fetches the latest technical specs from the official docs site.
- Normalized Caching: Consulted pages are saved locally in markdown format to speed up future interactions and ensure offline availability.
- Knowledge Stratification: It separates official documented behavior from local environment observations to maintain a clear technical record.
- Durable Note Generation: After completing live work, it records operational learnings to prevent rediscovery of the same patterns.
OpenClaw Encyclopedia Setup
To initialize the encyclopedia workspace and prepare the directory structure, run the following commands:
# Navigate to your workspace and initialize the structure
python3 scripts/init_workspace.py
# To cache a specific documentation page manually
python3 scripts/cache_doc.py --url https://docs.openclaw.ai/path/to/page
OpenClaw Encyclopedia Data Schema & Taxonomy
The skill organizes data within the .OpenClaw-Encyclopedia/ root using a strict taxonomy:
| Directory | Content Type | Purpose |
|---|---|---|
/docs/docs.openclaw.ai/ |
Markdown Caches | Mirrored official documentation pages. |
/notes/components/ |
Component Notes | Observations on specific gateway or node behaviors. |
/notes/patterns/ |
Best Practices | Reusable patterns, gotchas, and workflow designs. |
/inventory/ |
Deployment Data | Environment-wide access info and deployment maps. |
OpenClaw Encyclopedia Advanced Features
- Automated Doc Normalization: Uses scripts to convert HTML documentation into clean, searchable Markdown for the local cache.
- Evidence-Based Workflow: Enforces a strict preflight check requiring documentation lookup before executing high-impact CLI commands.
- Multi-Agent Operational Memory: Shared local notes allow different agents or sessions to leverage the same environmental knowledge base.
- Privacy-First Design: Built-in guardrails to ensure sensitive credentials and secrets are excluded from the knowledge tree.
SKILL.md
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