edith-augment-code

# 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responses without step details: ```bash auggie --print --quiet "What dependencies does this project use and are any outdated?" 2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