Bambu Cli

Organization

sundial-org

bambu-cli

Operate and troubleshoot BambuLab printers with the bambu-cli (status/watch, print start/pause/resume/stop, files, camera, gcode, AMS, calibration, motion, fans, light, config, doctor). Use when a user asks to control or monitor a BambuLab printer, set up profiles or access codes, or translate a task into safe bambu-cli commands with correct flags, output format, and confirmations.

Overview

Publisher	sundial-org
Repository	`awesome-openclaw-skills`
Skill name	`bambu-cli`
Stars	664
Forks	97
Bundled files	1
Links	Skill source Repository

Markdown instructions
A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.
Works with any LLM
AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.
1 bundled files
Scripts, templates, and references the model can read while it works. Files are read-only and never executed.
Open source
Published by sundial-org on GitHub. Read the source before you install it.

Installation

Install the Bambu Cli AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

Open the app and go to Plugins → Skills.
Choose "Install from GitHub".
Paste the skill folder URL below and confirm.
https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/bambu-cli
Enable the skill in any chat where you want it available.

Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills

git clone --depth 1 https://github.com/sundial-org/awesome-openclaw-skills.git /tmp/awesome-openclaw-skills
mkdir -p .claude/skills
cp -r /tmp/awesome-openclaw-skills/skills/bambu-cli .claude/skills/bambu-cli

Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Bambu Cli in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Bambu Cli on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Bambu Cli is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

Loaded only when it is needed
The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.
Switch models mid-chat
Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

Bambu CLI

Overview

Use bambu-cli to configure, monitor, and control BambuLab printers over MQTT/FTPS/camera, producing exact commands and safe defaults.

Defaults and safety

Confirm the target printer (profile or IP/serial) and resolve precedence: flags > env > project config > user config.
Avoid access codes in flags; use --access-code-file or --access-code-stdin only.
Require confirmation for destructive actions (stop print, delete files, gcode send, calibrate, reboot); use --force/--confirm only when the user explicitly agrees.
Offer --dry-run when supported to preview actions.
Choose output format: human by default, --json for structured output, --plain for key=value output.

Quick start

Configure a profile: bambu-cli config set --printer <name> --ip <ip> --serial <serial> --access-code-file <path> --default
Status: bambu-cli status
Watch: bambu-cli watch --interval 5
Start print: bambu-cli print start <file.3mf|file.gcode> --plate 1
Pause/resume/stop: bambu-cli print pause|resume|stop
Camera snapshot: bambu-cli camera snapshot --out snapshot.jpg

Task guidance

Setup & config

Use config set/list/get/remove to manage profiles.
Use env vars to avoid flags in scripts: BAMBU_PROFILE, BAMBU_IP, BAMBU_SERIAL, BAMBU_ACCESS_CODE_FILE, BAMBU_TIMEOUT, BAMBU_NO_CAMERA, BAMBU_MQTT_PORT, BAMBU_FTP_PORT, BAMBU_CAMERA_PORT.
Note config locations: user ~/.config/bambu/config.json, project ./.bambu.json.

Monitoring

Use status for a one-off snapshot; use watch for periodic updates (--interval, --refresh).
Use --json/--plain for scripting.

Printing

Use print start <file> with .3mf or .gcode.
Use --plate <n|path> to select a plate number or gcode path inside a 3mf.
Use --no-upload only when the file already exists on the printer; do not use it with .gcode input.
Control AMS: --no-ams, --ams-mapping "0,1", --skip-objects "1,3".
Disable flow calibration with --flow-calibration=false if requested.

Files and camera

Use files list [--dir <path>], files upload <local> [--as <remote>].
Use files download <remote> --out <path|->; use --force to allow writing binary data to a TTY.
Use files delete <remote> only with confirmation.
Use camera snapshot --out <path|->; use --force to allow stdout to a TTY.

Motion, temps, fans, light

Use home, move z --height <0-256>.
Use temps get|set (--bed, --nozzle, --chamber; require at least one).
Use fans set with --part/--aux/--chamber values 0-255 or 0-1.
Use light on|off|status.

Gcode and calibration

Use gcode send <line...> or gcode send --stdin (confirmation required; --no-check skips validation).
Avoid combining --access-code-stdin with gcode send --stdin; use an access code file instead.
Use calibrate with --no-bed-level, --no-motor-noise, --no-vibration when requested.

Troubleshooting

Use doctor to check TCP connectivity to MQTT/FTPS/camera ports; suggest --no-camera if the camera port is unreachable.
Assume default ports: MQTT 8883, FTPS 990, camera 6000 unless configured.

Reference

Read references/commands.md for the full command and flag reference.

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

references/commands.md2 KB

Frequently asked questions

What does the Bambu Cli AI skill do?

Why use Bambu Cli on TypingMind?

Because you install it once and use it with any model. Bambu Cli is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Bambu Cli in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/sundial-org/awesome-openclaw-skills/tree/main/skills/bambu-cli. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Bambu Cli?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Bambu Cli?

As many as you like. As long as a model supports skills, you can use Bambu Cli with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Bambu Cli AI skill free?

It is published on GitHub by sundial-org. Check the repository for licensing terms. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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Overview

Installation

Install in TypingMind

Install in another agent

Use it in TypingMind

Works with any AI model

Skill instructions

Bambu CLI

Overview

Defaults and safety

Quick start

Task guidance

Setup & config

Monitoring

Printing

Files and camera

Motion, temps, fans, light

Gcode and calibration

Troubleshooting

Reference

Bundled files

Frequently asked questions

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