A structural framework designed to audit, tune, and refine the core configuration layers of an AI agent workspace for better proactivity and personality consistency.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install openclaw-workspace
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-workspace 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 Workspace?
The OpenClaw Workspace skill is a meta-utility designed to manage the lifecycle and effectiveness of an AI agent's internal architecture. By treating the workspace as a holistic system rather than a collection of isolated files, this skill allows developers to fine-tune how an agent perceives itself, interacts with tools, and recalls user preferences. It is an essential component of the Openclaw Skills ecosystem for anyone looking to move beyond generic prompting into high-leverage agent engineering.
This skill specializes in balancing the various layers of an agent's identity—from the tone defined in SOUL.md to the operational boundaries in AGENTS.md. It ensures that improvements are targeted and surgical, preventing the common trap of prompt bloat while significantly increasing the agent's utility through better memory organization and proactive task management.
OpenClaw Workspace Use Cases
- Auditing a workspace to identify why an agent is behaving inconsistently or passively.
- Refining the personality and warmth of an agent by tuning the SOUL.md and IDENTITY.md layers.
- Strengthening long-term recall by distilling daily conversation notes into the MEMORY.md file.
- Implementing proactive follow-through logic using the HEARTBEAT.md and AGENTS.md configuration.
- Debugging tool usage friction by providing better environment hints in the TOOLS.md layer.
How OpenClaw Workspace Works
- Systemic Audit: The skill initiates a deep scan of the workspace stack, including soul, agent defaults, memory, and active tools.
- Evidence Mapping: It searches prior conversation history and memory files to identify recurring friction points or user corrections.
- Layer Diagnosis: Problems are mapped to specific files (e.g., tone issues to SOUL.md, startup issues to AGENTS.md) to ensure modular improvements.
- Diff Generation: The skill proposes specific, minimal diffs or replacement blocks for the target files to address identified gaps.
- Validation: It evaluates the proposed changes against existing rules to prevent contradictory instructions or redundant prompt bloat.
OpenClaw Workspace Setup
To add this capability to your environment, use the following commands within your terminal:
clawhub install openclaw-workspace
clawhub sync
Once installed, you can trigger a deep audit by asking the agent to analyze or improve its workspace configuration.
OpenClaw Workspace Data Schema & Taxonomy
The skill organizes workspace data across several specialized layers to ensure high-leverage context management:
| Layer | Managed File | Primary Responsibility |
|---|---|---|
| Persona | SOUL.md |
Tone, humor, warmth, and personality consistency. |
| Identity | IDENTITY.md |
Name, vibe markers, and stable self-presentation. |
| Logic | AGENTS.md |
Startup routines, decision defaults, and escalation rules. |
| Context | USER.md |
Durable facts about the human user and their preferences. |
| Memory | MEMORY.md |
Long-term lessons and distilled project knowledge. |
| Capabilities | skills/ |
Reusable playbooks and domain-specific operating rules. |
OpenClaw Workspace Advanced Features
- Evidence-Based Upgrades: Leverages existing memory and conversation logs as primary evidence for proposing configuration changes.
- Proactivity Boundaries: Allows for the fine-tuning of internal initiative vs. external action, defining exactly when an agent should act autonomously.
- Cross-Layer Impact Analysis: Predicts how a change in one file (like AGENTS.md) might impact behavior defined in others (like SOUL.md).
- Heartbeat Integration: Optimizes background maintenance and recurring checks through the HEARTBEAT.md protocol.
- Modular Skill Promotion: Identifies repeated ad hoc workflows that should be converted into permanent Openclaw Skills.
SKILL.md
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