Key Moments

5 Tips to Make OpenClaw 10X Better (EASY)

T
The AI Growth Lab with Tom
Science & Technology5 min read28 min video
Feb 12, 2026|18,427 views|388|50
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TL;DR

OpenClaw can be 10X more powerful by customizing its .md files and adding skills, drastically improving its functionality beyond a basic chatbot.

Key Insights

1

Hostinger offers a VPS solution for OpenClaw starting at $4.99/month, with a one-click installation option using the code GROWTHLAB10 for 10% off.

2

Customizing .md files like `agents.md`, `memory.md`, and `soul.md` provides context, personality, and memory for OpenClaw agents, enabling them to function as specialized roles.

3

The ClawHub.ai platform hosts community-created skills, but users must exercise caution due to potential malicious uploads, with security scans and GitHub checks recommended.

4

The 'Super Memory' skill provides agents with permanent memory, significantly enhancing their ability to recall past interactions and information.

5

Implementing a 'heartbeat' system for agents, such as scanning emails multiple times a day, can automate tasks like summarizing important messages, though it consumes tokens with each check.

6

The 'Figure It Out' directive prompts agents to proactively search for solutions to problems rather than stating they cannot complete a task, promoting a more proactive and resourceful AI.

Transforming OpenClaw from chatbot to AI employee

This video details how to unlock OpenClaw's full potential, moving it beyond a simple chatbot to a fully functional AI employee. The host emphasizes that without specific customizations, users only leverage about 10% of its capabilities. The primary methods for enhancement involve understanding and editing .md (markdown) files for context and personality, and secondly, installing custom 'skills' that grant agents access to specific tools and functionalities. The video also touches upon cost-saving measures, promising a method to reduce API costs by 70% for advanced users.

Setting up and accessing OpenClaw files

For users needing a robust OpenClaw installation, the video recommends Hostinger's VPS services, starting at $4.99/month. They offer a convenient one-click installation for OpenClaw. The host highlights the KVM2 plan at $6.99/month with 2 CPU cores and 8GB RAM as sufficient for most use cases, with higher performance options available. A crucial security caveat is mentioned: the one-click install is not fully secure, and a supplementary video on secure VPS setup is recommended. For file management, Mountain Duck (a Cyberduck spin-off) is suggested for easily accessing OpenClaw's configuration and workspace files via SFTP after connecting a Tailscale account.

Leveraging .md files for agent context and personality

The core of customizing OpenClaw lies in understanding and editing its .md files. These files act as instructions, context, and memory for each AI agent. Key files include `agents.md` (defining how an agent operates and its structure), `memory.md` (for long-term recall of tasks and learnings), `soul.md` (defining the agent's personality, vibe, and core truths), `tools.md` (detailing what the agent has access to), and `user.md` (storing information about the human user). By filling out these files, users can assign specific roles, like 'content writer' or 'image creator,' to their agents. The host suggests asking the agent to interview you to help populate these documents with initial concepts and information. The `identity.md` file is specific to each session, defining the agent's name and role.

Installing skills from ClawHub for enhanced capabilities

Skills are the equivalent of superpowers for OpenClaw agents, granting them access to external tools and services. These can be found on ClawHub.ai. The video demonstrates how to install skills using `npx` commands in the terminal. A critical warning is issued regarding the safety of community-uploaded skills; malicious ones have been found. Users are advised to check security scans and GitHub repositories for the skills they intend to install. An example provided is the 'Super Memory' skill, which grants agents permanent memory storage, thus reducing the need for frequent API calls to recall past information and saving on token usage. Direct installation can often be achieved by simply asking the agent to install a specific skill by name or URL, though API keys may need to be manually added to configuration files.

Automating tasks with agent 'heartbeats'

The 'heartbeat' functionality allows agents to periodically check in and perform tasks autonomously. A prime use case demonstrated is email management: an agent can be set to scan an inbox multiple times a day, identify urgent emails, and provide summaries or draft responses. Setting up heartbeats involves configuring the `heartbeat.md` file, which specifies the frequency of checks and the actions to be taken. The process may require installing additional tools or integrations, such as an email client's app password for Gmail access. While powerful for continuous operation, the host notes that each heartbeat check consumes tokens, so careful consideration is needed to balance automation with cost.

Implementing the 'Figure It Out' directive for proactivity

A crucial directive, the 'Figure It Out' prompt, forces agents to become problem-solvers rather than falling back on 'I don't know.' This directive, which can be added to the `agents.md` file, instructs the AI to use unrestricted internet access, browser automation, and shell execution to find solutions. It mandates searching for at least three approaches, trying at least two, and documenting failures with specific errors before declaring a task impossible. This fundamentally shifts the agent's role from a passive responder to an active operator driven by delivering results, making it significantly more valuable.

Optimizing API costs with Claw Router and QMD

To combat the high cost of advanced models like GPT-4.5/4.6, the video introduces 'Claw Router,' an open-source project that enables 100% local routing to choose from various models dynamically, significantly reducing API expenses (up to 70%). It uses micro-payments via USDC on the Base crypto network. Another cost-saving tool is the QMD skill, which enhances quick markdown search within a large number of context files, using fewer tokens for efficient retrieval. While Claw Router offers substantial savings, its implementation can be complex, requiring crypto payments and potentially manual adaptation for compatibility with specific OpenClaw versions, as demonstrated by a troubleshooting example where the router initially caused stability issues.

Creating custom skills and managing individual agents

Beyond downloading pre-made skills, users can create their own directly within OpenClaw. If a process is repeated frequently, it can be turned into a custom skill by detailing the steps or even performing the process in a chat session and asking the AI to convert it into a skill. This skill would include a `skill.md` file for description and then specific files for functionality, scripts, or API calls. The video also emphasizes effective agent management by creating distinct agents for specific roles (e.g., content writer, image creator), each with its own tailored `agents.md`, `soul.md`, and `identity.md` files. This modular approach allows for specialized AI assistants that are efficient and focused on their designated tasks.

Maximizing OpenClaw: Key Tips

Practical takeaways from this episode

Do This

Understand and configure MD files (agents.md, memory.md, soul.md, etc.) for context, personality, and memory.
Use tools like Mountain Duck (or direct chat commands) to access and edit agent configuration files.
Explore and install skills from ClawHub to grant your bot new capabilities, but vet them for security.
Implement the 'Figure It Out' directive to encourage proactive problem-solving and research by the agent.
Utilize Claw Router to optimize API costs by dynamically switching between AI models.
Configure individual agents with specific roles, personalities, and skills via their MD files.
Create custom skills within the chat interface for repetitive processes.

Avoid This

Rely solely on basic chat interactions without customizing agent configurations.
Install untrusted skills from ClawHub without checking security scans or GitHub repositories.
Expose API keys directly in chat logs (use secure methods like .env files).
Overuse high-end models for simple tasks, leading to unnecessary costs.
Forget to update soul.md and agent.md files for each agent's specific needs and personality.
Assume OpenClaw is just a chatbot; actively configure it to act as an AI employee.

Common Questions

OpenClaw is presented as a powerful AI assistant that can function as an 'AI employee' rather than just a chatbot. This is achieved through advanced configuration, custom skills, and deeper integration capabilities, allowing it to perform more complex tasks autonomously.

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