hooks
Install, uninstall, or inspect OpenLoomi's Claude Code hooks
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/melandlabs/openloomi/HEAD/plugins/claude/commands/hooks.md -o ~/.claude/commands/hooks.mdhooks.md
# /openloomi:hooks [install|uninstall|status]
The plugin never auto-installs hooks. Choose a subcommand:
| Subcommand | Bridge call | Effect |
| ----------- | ----------------- | ----------------------------------------------------------------------------------------------- |
| `install` | `install-hooks` | Merges the plugin's hook block into `~/.claude/settings.json` (preserves other plugins' hooks). |
| `uninstall` | `uninstall-hooks` | Removes only the plugin's block; idempotent. |
| `status` | `hooks-status` | Reports whether the block is currently installed. |
Default (no argument) runs `status`.
```bash
node ${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs install-hooks
node ${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs uninstall-hooks
node ${CLAUDE_PLUGIN_ROOT}/scripts/loomi-bridge.mjs hooks-status
```
The bridge runs merge-no-overwrite and is atomic. The Stop hook always
exits 0; archive failures never block Claude Code.Browser automation CLI for AI agents. Use when the user needs to interact with websites, including navigating pages, filling forms, clicking buttons, taking screenshots, extracting data, testing web apps, or automating any browser task. Triggers include requests to "open a website", "fill out a form", "click a button", "take a screenshot", "scrape data from a page", "test this web app", "login to a site", "automate browser actions", or any task requiring programmatic web interaction.
Use 1000+ external apps via Composio - either directly through the CLI or by building AI agents and apps with the SDK
Walk the user through installing the optional composio skill and turning on screen memory
Persist learning across turns by actively maintaining MENTAL_MODEL.md in the workspace. Use for iterative coding, debugging, benchmarking, or any feedback-driven task; read and update the file with actual filesystem writes before every response, never just hidden/internal memory.
Create an end-to-end Continual Learning Bench task. Use when adding a new src/tasks/<name> benchmark task, including design interview, concrete Jinja prompt templates, JSON action contracts, observation templates, debug schedule, behavioral E2E tests, validation, smoke/debug runs with icl and icl_notepad, and README documentation.
Drive a native macOS app via the cua-driver CLI (default) or MCP server — snapshot its AX tree, click/type/scroll by element_index, verify via re-snapshot. Use when the user asks you to operate, drive, automate, or perform a GUI task in a real macOS application on the host (e.g. "open a file in TextEdit", "navigate to /Applications in Finder", "click the Save button in Numbers").
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