Doc updates (#104)

* Update instructions to include copying boot.py

* Clean up instructions

* Fix formatting

README.md

@@ -20,25 +20,30 @@
 
 Install and have your USB Rubber Ducky working in less than 5 minutes.
 
-1. Download [CircuitPython for the Raspberry Pi Pico](https://circuitpython.org/board/raspberry_pi_pico/). *Updated to 7.0.0
+1. Clone the repo to get a local copy of the files. `git clone https://github.com/dbisu/pico-ducky.git`
 
-2. Plug the device into a USB port while holding the boot button. It will show up as a removable media device named `RPI-RP2`.
+2. Download [CircuitPython for the Raspberry Pi Pico](https://circuitpython.org/board/raspberry_pi_pico/). *Updated to 7.0.0
 
-3. Copy the downloaded `.uf2` file to the root of the Pico (`RPI-RP2`). The device will reboot and after a second or so, it will reconnect as `CIRCUITPY`.
+3. Plug the device into a USB port while holding the boot button. It will show up as a removable media device named `RPI-RP2`.
 
-4. Download `adafruit-circuitpython-bundle-7.x-mpy-YYYYMMDD.zip` [here](https://github.com/adafruit/Adafruit_CircuitPython_Bundle/releases/latest) and extract it outside the device.
+4. Copy the downloaded `.uf2` file to the root of the Pico (`RPI-RP2`). The device will reboot and after a second or so, it will reconnect as `CIRCUITPY`.
 
-5. Navigate to `lib` in the recently extracted folder and copy `adafruit_hid` to the `lib` folder on your Raspberry Pi Pico.
+5. Download `adafruit-circuitpython-bundle-7.x-mpy-YYYYMMDD.zip` [here](https://github.com/adafruit/Adafruit_CircuitPython_Bundle/releases/latest) and extract it outside the device.
 
-6. Copy `adafruit_debouncer.mpy` and `adafruit_ticks.mpy` to the `lib` folder on your Raspberry Pi Pico.
+6. Navigate to `lib` in the recently extracted folder and copy `adafruit_hid` to the `lib` folder on your Raspberry Pi Pico.
 
-7. Copy `asyncio` to the `lib` folder on your Pico.
+7. Copy `adafruit_debouncer.mpy` and `adafruit_ticks.mpy` to the `lib` folder on your Raspberry Pi Pico.
 
-8. Click [here](https://raw.githubusercontent.com/dbisu/pico-ducky/main/duckyinpython.py), press CTRL + S and save the file as `code.py` in the root of the Raspberry Pi Pico, overwriting the previous file.
+8. Copy `asyncio` to the `lib` folder on your Pico.
 
-9. Find a script [here](https://github.com/hak5darren/USB-Rubber-Ducky/wiki/Payloads) or [create your own one using Ducky Script](https://github.com/hak5darren/USB-Rubber-Ducky/wiki/Duckyscript) and save it as `payload.dd` in the Pico.
+9. Copy `boot.py` from your clone to the root of your Pico.
 
-10. Be careful, if your device isn't in [setup mode](#setup-mode), the device will reboot and after half a second, the script will run.
+10. Copy `duckyinpython.py` as `code.py` in the root of the Raspberry Pi Pico, overwriting the previous file.  
+     Linux: `cp duckyinpython.py </path/to/pico/code.py`
+
+11. Find a script [here](https://github.com/hak5darren/USB-Rubber-Ducky/wiki/Payloads) or [create your own one using Ducky Script](https://github.com/hak5darren/USB-Rubber-Ducky/wiki/Duckyscript) and save it as `payload.dd` in the Pico.
+
+12. Be careful, if your device isn't in [setup mode](#setup-mode), the device will reboot and after half a second, the script will run.
 
 ### Setup mode
 
@@ -50,11 +55,10 @@ The easiest way to so is by using a jumper wire between those pins as seen bello
 ### USB enable/disable mode
 
 If you need the pico-ducky to not show up as a USB mass storage device for stealth, follow these instructions.  
-Enter setup mode.  
-Copy boot.py to the root of the pico-ducky.  
+Enter setup mode.    
 Copy your payload script to the pico-ducky.  
 Disconnect the pico from your host PC.
-Connect a jumper wire between pin 18 (`GND`) and pin 20 (`GPIO15`).
+Connect a jumper wire between pin 18 (`GND`) and pin 20 (`GPIO15`).  
 This will prevent the pico-ducky from showing up as a USB drive when plugged into the target computer.  
 Remove the jumper and reconnect to your PC to reprogram.
 The default mode is USB mass storage enabled.