Inspect an agent’s current model, processing limits, workspace, tools, and message routing details. Diagnose unavailable capabilities, adjust permitted runtime settings, or keep temporary session notes, with advance notice before changes that affect the model or limits.
Inspect or troubleshoot the agent's runtime state, adjust runtime settings, or keep temporary session notes.
Review the instructions the agent will receive before you install.
| Situation | Command |
|---|---|
| Check capacity for a large task | my(action="check", key="context_window_tokens") |
| Switch model or context capacity | my(action="set", key="model_preset", value="<preset-name>") |
| Long multi-step task | my(action="set", key="max_iterations", value=80) |
Tradeoff: Bias toward stability. Only set when defaults are genuinely insufficient.
model_preset is saved for the current session; other modifications are in-memory onlymodel and context_window_tokens writes are rejected during active sessions because they would change the shared instance default. Use a configured model_preset instead.max_iterations (1–100), context_window_tokens (4096–1M), model (non-empty str)tools.my.allow_set is false, check only| Need | Use | Persists? |
|---|---|---|
| Per-session temp state | my(action="set", key="...", value=...) | No |
| Long-term facts | Memory skill (MEMORY.md, USER.md) | Yes |
| Permanent config change | Edit config file | Yes |
Rule of thumb: Tomorrow? Memory. This turn only? My.
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Find agent skills on ClawHub, a public skill registry, using everyday language. Install selected skills into the nanobot workspace, review installed skills, and update them together through command-line tools.
Schedule reminders and recurring agent tasks at specific times or intervals. Use it for meeting alerts, regular reports, or weekday routines, with support for one-time tasks, time zones, and viewing or removing scheduled jobs.
Use the GitHub command-line tool to inspect issues, pull requests, and automated workflow runs. Check failed steps and logs, retrieve additional details through the API, and extract selected fields into structured results.
Generate images from written instructions and edit saved or uploaded images using them as references. Continue refining the latest image in a conversation, adjusting details such as brightness, background, or colors while specifying what to preserve.
Search the agent’s conversation history by topic or date to retrieve relevant past entries. Inspect neighboring records when needed to understand the surrounding discussion, using the history log specified for the agent’s workspace.
Get answers about nanobot setup, configuration, and troubleshooting using documentation bundled with the installed version. Find relevant guidance for the WebUI, model providers, integrations, and configuration fields.