| name | micropython-repl |
| description | Interact with MicroPython boards via mpy-repl-tool to push files, execute code, and test MicroPython scripts. Use when working with MicroPython development, testing board functionality, or evaluating MicroPython code on hardware. |
| allowed-tools | BashExecution, Read, Glob, Grep, FileEditor |
MicroPython REPL Skill
This skill enables interaction with MicroPython boards using the mpy-repl-tool (via the there module). It connects to a board via RFC2217 serial-over-network protocol.
Connection Details
The board is accessible at: rfc2217://host.docker.internal:2217
All commands use this connection string via the -p parameter.
Core Operations
1. Push Python Files to Board
Push all Python files in the current directory to the board root:
python -m there -p rfc2217://host.docker.internal:2217 push *.py /
Push a specific file:
python -m there -p rfc2217://host.docker.internal:2217 push myfile.py /
Push to a specific directory on the board:
python -m there -p rfc2217://host.docker.internal:2217 push myfile.py /lib/
2. List Files on Board
List files in the root directory:
python -m there -p rfc2217://host.docker.internal:2217 ls
List files in a specific directory:
python -m there -p rfc2217://host.docker.internal:2217 ls /lib
List with details (sizes, etc):
python -m there -p rfc2217://host.docker.internal:2217 ls -l
3. Download Files from Board
Download a file from the board:
python -m there -p rfc2217://host.docker.internal:2217 pull /main.py .
View file contents directly:
python -m there -p rfc2217://host.docker.internal:2217 cat /boot.py
4. Execute Code on Board
Run a Python file that's already on the board:
python -m there -p rfc2217://host.docker.internal:2217 run /main.py
Execute a one-line Python expression:
python -m there -p rfc2217://host.docker.internal:2217 -c "print('Hello from MicroPython')"
Evaluate and capture output:
python -m there -p rfc2217://host.docker.internal:2217 -c "2 + 2"
5. Interactive REPL
Start an interactive REPL session:
python -m there -p rfc2217://host.docker.internal:2217 -i
_Note: After entering REPL, CTRL+C interrupts a running program, CTRL+D soft-resets the device
6. Remove Files from Board
Delete a file:
python -m there -p rfc2217://host.docker.internal:2217 rm /old_file.py
Delete multiple files:
python -m there -p rfc2217://host.docker.internal:2217 rm *.py
Delete all python files:
python -m there -p rfc2217://host.docker.internal:2217 rm -r *.py
7. Reset/Soft Reboot Board
Soft reset the board:
python -m there -p rfc2217://host.docker.internal:2217 --reset
Typical Workflow
- Develop: Edit Python files locally in the workspace
- Push: Upload files to the board using
push *.py /and reset the board - Execute: Run or evaluate the code using
runor via-c - Debug: Check output, modify code, and repeat
- Verify: Use
lsto confirm files are on the board - Download: Retrieve any generated files or logs using
cat
Example: Complete Test Cycle
# 1. Push the framebuffer optimization script to the board
python -m there -p rfc2217://host.docker.internal:2217 push fb.py / --reset
# 2. Run the script on the board
python -m there -p rfc2217://host.docker.internal:2217 run /fb_opt.py
# 3. Download any output or log files
python -m there -p rfc2217://host.docker.internal:2217 cat /results.txt
Troubleshooting
- Connection errors: Verify the RFC2217 server is running and accessible at
host.docker.internal:2217 - File not found: Use
lsto check the exact path and filename on the board - Import errors: Ensure all dependent modules are pushed to the board
- Memory errors: MicroPython boards have limited RAM; consider optimizing code or using smaller datasets
Additional Resources
For more advanced usage and commands, see reference.md.