Schedule PicoClaw tasks with cron-style expressions
Adds cron-based scheduling to PicoClaw so you can run agent tasks on a fixed schedule without external tooling. Lightweight and runs entirely on your VPS.
Copy the command below and run it in your OpenClaw installation:
picoclaw skills add cronDeploy OpenClaw, Hermes, or PicoClaw on Bluehost with the right template for the job.
Capability Evolver is the most downloaded skill on ClawHub with over 35,000 installs and it earns that position. It is a meta-skill that lets your OpenClaw agent analyse its own runtime history, identify failures or inefficiencies, and autonomously update its approach to improve performance over time. If a task fails three times in a row, Evolver detects the pattern and either creates a workaround or adjusts the agent's behaviour without you doing anything. Think of it as a personal trainer running silently in the background. Over weeks of use the improvement is measurable — faster task completion, fewer retries, more accurate outputs.
GOG is the go-to Google Workspace skill on ClawHub with over 14,000 downloads and the most complete implementation available. A single installation gives your OpenClaw agent full access to Gmail, Google Calendar, Google Drive, Google Docs, Google Sheets and Google Contacts through one consistent connection. Instead of installing and configuring five separate Google skills, GOG handles all of them through a unified OAuth flow. For anyone whose work life runs through Google Workspace, this skill transforms OpenClaw into a genuine productivity assistant.
Memory LanceDB is OpenClaw's vector-based long-term memory plugin and one of the most impactful skills you can add to any agent running 24/7 on a VPS. Unlike basic memory that stores conversation history as flat text, LanceDB uses vector embeddings to store and retrieve memories semantically — meaning your agent can recall relevant past context even when you phrase a question differently. Every task, preference, outcome and piece of information your agent encounters gets stored and becomes searchable. The longer the agent runs the more useful it becomes.