bambu-studio-ai
Bambu Lab 3D printer control and automation. Activate when user mentions: printer status, 3D printing, slice, analyze model, generate 3D, AMS filament, print monitor, Bambu Lab, or any 3D printing task. Full pi...
copilot cli
Follow the repository instructions for this skill and your agent. Review the files and dependencies before adding it to your workflow.
SkillHub CLI
skillhub install binotaliu/openclaw-copilot-cliInspect the source and compatibility requirements, then follow its installation steps.
Give your agent the source link and ask it to inspect instructions and dependencies before explaining the installation steps.
Execute GitHub Copilot CLI via exec for code gen, file edits, shell tasks using advanced models (Claude/GPT-5). Use when needing Copilot-powered coding/automation.
npm install -g @github/copilot
or on macOS:
brew install copilot-cli
Verify:
copilot --help
copilot (interactive mode)./login and follow prompts (uses GitHub account, requires Copilot subscription).For non-interactive use after auth.
copilot -p \"Your prompt here\" --allow-all --silent
--allow-all: Enables all tools/paths/URLs (use --yolo for short).--silent: Outputs only agent response.--model claude-sonnet-4.6 or gpt-5.2 etc. to choose model.In OpenClaw exec:
exec:
command: copilot -p 'Generate a Python script to...' --allow-all --silent
exec:
command: copilot
pty: true
Then use process tool:
send-keys: Send input like ['prompt text', 'Enter']
log: View outputcopilot -p 'List all .js files and summarize' --allow-all
copilot -p 'Create a simple Express server in Node.js' --allow-all --silent
copilot -p 'Add error handling to main.js' --allow-all
copilot -p '...' --model gpt-5.3-codex --allow-all
Tested: Generated hello_world.sh:
#!/bin/bash
echo \"Hello, World!\"
Solana NFT mint test started successfully (complex task running).
--no-custom-instructions if needed.--share to output session.md~/.copilot/logs/
These signals come from indexed source analysis and may lag behind changes. Check the current source files.
# copilot-cli ## Description Execute GitHub Copilot CLI via exec for code gen, file edits, shell tasks using advanced models (Claude/GPT-5). Use when needing Copilot-powered coding/automation. ## Installation ``` npm install -g @github/copilot ``` or on macOS: ``` brew install copilot-cli ``` Verify: ``` copilot --help ``` ## Authentication 1. Run `copilot` (interactive mode). 2. Type `/login` and follow prompts (uses GitHub account, requires Copilot subscription). For non-interactive use after auth. ## Usage ### Non-interactive (one-shot prompts) ``` copilot -p \"Your prompt here\" --allow-all --silent ``` - `--allow-all`: Enables all tools/paths/URLs (use `--yolo` for short). - `--silent`: Outputs only agent response. - `--model claude-sonnet-4.6` or `gpt-5.2` etc. to choose model. **In OpenClaw exec:** ``` exec: command: copilot -p 'Generate a Python script to...' --allow-all --silent ``` ### Interactive ``` exec: command: copilot pty: true ``` Then use `process` tool: - `send-keys`: Send input like `['prompt text', 'Enter']` - `log`: View output ## Examples ### Shell task ``` copilot -p 'List all .js files and summarize' --allow-all ``` ### Code generation ``` copilot -p 'Create a simple Express server in Node.js' --allow-all --silent ``` ### File edits ``` copilot -p 'Add error handling to main.js' --allow-all ``` ### Advanced models ``` copilot -p '...' --model gpt-5.3-codex --allow-all ``` ## Test Tested: Generated `hello_world.sh`: ```bash #!/bin/bash echo \"Hello, World!\" ``` Solana NFT mint test started successfully (complex task running). ## Tips - Custom instructions from AGENTS.md auto-loaded. - Use `--no-custom-instructions` if needed. - For scripting: `--share` to output session.md - Logs: `~/.copilot/logs/`
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