Augment Code via Auggie CLI#

Use Augment Code's powerful context engine and agentic coding capabilities through OpenClaw. This skill wraps the auggie CLI to let users generate code, analyze projects, debug issues, and build prototypes — hands-free through Edith glasses or any OpenClaw channel.

Prerequisites#

• Auggie CLI installed: npm install -g @augmentcode/auggie
• Logged in: auggie login

When to use#

Trigger this skill when the user asks to:

• Build, create, or scaffold something ("build me a landing page", "create a REST API")
• Analyze or review code ("analyze this codebase", "review this function")
• Debug or fix issues ("why is this failing", "fix the auth bug")
• Prototype or generate code ("prototype a todo app", "generate a React component")
• Get code suggestions or insights ("how should I structure this", "what's wrong with this approach")

How to use#

Generate code or build something#

Run auggie in print mode for one-shot tasks:

bash

auggie --print "Build a simple Express API with /health and /users endpoints" 2>&1

Analyze the current project#

bash

auggie --print "Analyze this codebase and give me a summary of the architecture" 2>&1

Debug an issue#

bash

auggie --print "Look at the recent error in src/ws-relay.ts and suggest a fix" 2>&1

Get quiet/structured output#

For clean responses without step details:

bash

auggie --print --quiet "What dependencies does this project use and are any outdated?" 2>&1

Response formatting#

When returning results to the user (especially through Edith glasses voice output):

• Summarize the key output concisely
• For code generation: describe what was created and where
• For analysis: give the top 3-5 findings
• For debugging: state the root cause and fix
• Keep it conversational and brief — this may be spoken aloud through glasses

Error handling#

• If auggie is not installed: tell the user to run npm install -g @augmentcode/auggie
• If not logged in: tell the user to run auggie login
• If the command times out: suggest breaking the task into smaller pieces
• Auggie may take 10-30 seconds for complex tasks — warn the user if it's a big request