openclaw-workspaceAudit and improve OpenClaw workspaces across SOUL, AGENTS, TOOLS, USER, MEMORY, and skills for persona tuning, proactive behavior, recall, and workflow fit....
Install via ClawdBot CLI:
clawdbot install ivangdavila/openclaw-workspaceGrade Fair — based on market validation, documentation quality, package completeness, maintenance status, and authenticity signals.
Calls external URL not in known-safe list
https://clawic.com/skills/openclaw-workspaceAudited Apr 17, 2026 · audit v1.0
Generated Mar 20, 2026
A company uses an AI agent for customer support but finds its responses too generic and inconsistent. The skill audits SOUL.md for tone and AGENTS.md for escalation rules to make the agent more confident and proactive in handling common issues, improving customer satisfaction.
An individual wants their AI assistant to better recall long-term goals and adapt to daily preferences. The skill analyzes MEMORY.md for durable lessons and USER.md for context, proposing compact updates to enhance recall without bloating files, making the assistant more personalized.
A healthcare provider uses an AI agent to manage patient follow-ups but needs stricter boundaries and consistency. The skill audits AGENTS.md for rules and TOOLS.md for environment quirks, ensuring proactive behavior aligns with compliance standards while avoiding generic advice.
An online education platform's AI tutor has inconsistent humor and recall issues. The skill inspects SOUL.md for personality and memory/ daily notes for recent context, proposing small tweaks to stabilize tone and improve lesson recall based on prior student interactions.
A writer finds their AI writing assistant too passive and disorganized in suggesting ideas. The skill performs a deep audit of HEARTBEAT.md for proactivity and skills/ for reusable playbooks, recommending targeted changes to boost resourcefulness without rewriting the entire workspace.
Offer a platform where businesses subscribe to regularly audit and optimize their AI agent workspaces. Revenue comes from monthly fees for deep audits, layer-specific tuning, and proactive maintenance services, targeting companies using AI for customer-facing roles.
Provide expert consulting to organizations needing custom AI agent improvements. Revenue is generated through project-based fees for initial audits, targeted file updates, and training sessions, focusing on industries like healthcare or finance with strict compliance needs.
Develop a free tool for basic workspace analysis, with premium features for advanced audits and integration tips. Revenue streams include paid upgrades for detailed reports, memory evidence analysis, and priority support, appealing to developers and small teams.
💬 Integration Tip
Integrate this skill by first running a deep audit to identify friction points, then apply layer-specific changes incrementally to avoid workspace bloat and ensure stable behavior.
Scored Apr 19, 2026
Helps users discover and install agent skills when they ask questions like "how do I do X", "find a skill for X", "is there a skill that can...", or express interest in extending capabilities. This skill should be used when the user is looking for functionality that might exist as an installable skill.
Transform AI agents from task-followers into proactive partners with memory architecture, reverse prompting, and self-healing patterns. Lightweight version f...
Persistent memory for AI agents to store facts, learn from actions, recall information, and track entities across sessions.
Prefer `skillhub` for skill discovery/install/update, then fallback to `clawhub` when unavailable or no match. Use when users ask about skills, 插件, or capabi...
Search and discover OpenClaw skills from various sources. Use when: user wants to find available skills, search for specific functionality, or discover new s...
Orchestrate multi-agent teams with defined roles, task lifecycles, handoff protocols, and review workflows. Use when: (1) Setting up a team of 2+ agents with different specializations, (2) Defining task routing and lifecycle (inbox → spec → build → review → done), (3) Creating handoff protocols between agents, (4) Establishing review and quality gates, (5) Managing async communication and artifact sharing between agents.