Install a ClaudeClaw extension (e.g., slack, triage)
Install via CLI
openskills install sbusso/claudeclaw---
name: install-extension
description: Install a ClaudeClaw extension (e.g., slack, triage)
trigger: /install <name>
---
# Install Extension
Install a ClaudeClaw extension from GitHub.
## Usage
```
/install slack
/install triage
```
## Flow
### 1. Validate input
The argument is the extension short name (e.g., `slack`, `triage`). The full repo name is `claudeclaw-<name>`.
```bash
EXTENSION_NAME="${1}"
REPO="https://github.com/sbusso/claudeclaw-${EXTENSION_NAME}.git"
EXT_DIR="extensions/claudeclaw-${EXTENSION_NAME}"
```
### 2. Check if already installed
```bash
[ -d "$EXT_DIR" ] && echo "Extension claudeclaw-${EXTENSION_NAME} is already installed." && exit 0
```
If already installed, ask if the user wants to update instead (git pull + rebuild).
### 3. Clone the extension
```bash
mkdir -p extensions
git clone "$REPO" "$EXT_DIR"
```
### 4. Read manifest and install dependencies
```bash
cat "$EXT_DIR/manifest.json"
```
If `manifest.json` has a `dependencies` field, install them at the root:
```bash
cd "$(git rev-parse --show-toplevel)" && npm install <each dependency with version>
```
### 5. Compile the extension
```bash
cd "$EXT_DIR" && npx tsc
```
### 6. Run post-install hook
If `manifest.json` has `hooks.postInstall`:
```bash
chmod +x "$EXT_DIR/hooks/install.sh"
bash "$EXT_DIR/hooks/install.sh" "$(git rev-parse --show-toplevel)"
```
This copies skills, agents, and agent skills into the ClaudeClaw root.
### 7. Rebuild core
```bash
npm run build
```
### 8. Restart service
Detect OS and restart:
**macOS:**
```bash
SERVICE_NAME=$(launchctl list | grep claudeclaw | awk '{print $3}')
[ -n "$SERVICE_NAME" ] && launchctl kickstart -k "gui/$(id -u)/$SERVICE_NAME"
```
**Linux:**
```bash
systemctl --user restart claudeclaw
```
### 9. Verify
Print confirmation:
```
Extension claudeclaw-<name> installed successfully.
- Skills: <list from manifest>
- Type: <channel|extension>
- Restart: service restarted
```
No comments yet. Be the first to comment!
Implement persistent memory patterns for AI agents using AgentDB. Includes session memory, long-term storage, pattern learning, and context management. Use when building stateful agents, chat systems, or intelligent assistants.