# AI use cases for Quackd (rokbenko/quackd) Repo: [rokbenko/quackd](https://github.com/rokbenko/quackd) | Use cases: 5 | Page: https://dedupedai.com/use-cases/rokbenko-quackd/ quackd is a Python command line that connects robots you own, gives each one an LLM as its pilot, and lets you command one robot or a flock with a goal. This file holds every use case of this repo. Each one starts with a "## " heading and ends with its URL. - Try a duck goal in the simulator with no robot: https://dedupedai.com/use-cases/rokbenko-quackd/try-a-duck-goal-in-simulation/ - Command a real SO-101 arm with a plain-English goal: https://dedupedai.com/use-cases/rokbenko-quackd/command-a-real-lerobot-arm-by-goal/ - Rehearse arm task files in simulation before the arm: https://dedupedai.com/use-cases/rokbenko-quackd/rehearse-arm-tasks-in-simulation-first/ - Command a robot from a Claude chat window: https://dedupedai.com/use-cases/rokbenko-quackd/command-a-robot-from-claude-chat/ - Split one goal across a flock of simulated robots: https://dedupedai.com/use-cases/rokbenko-quackd/run-one-goal-across-a-flock/ ## How to try a duck goal in the simulator with no robot with Quackd Repo: [rokbenko/quackd](https://github.com/rokbenko/quackd) | Difficulty: Intermediate | Time: 30 minutes | Basis: From the README Run a goal like find the ball and kick it on a simulated Microduck with no hardware. **Who it is for:** A robotics hobbyist with no robot yet who wants to see how an LLM pilots a body before buying one. **The problem:** Setting up a robot just to test how goal-directed control works is expensive and slow. **The outcome:** A goal runs to completion in the cartoon arena, and the run shows which skills the model chose. ### Steps 1. Install Quackd with the microduck extra: pip install "Quackd[microduck]" (inferred, check the README) 2. Register the simulated Microduck once by name using the Quackd registration command in the README (inferred, check the README) 3. Run: Quackd run --goal "Find the ball and kick it" 4. Read the run output and confirm the ball kick succeeded ### Prompt to paste into your agent ```text Using the rokbenko/quackd repo, install quackd[microduck], register a simulated Microduck under the name , then run quackd run --goal "Find the ball and kick it" against it. Report the final status and the list of skills the model called. Verify that the run ends with success rather than an abort. ``` ### Caveat The cartoon simulator checks success against ground truth in a sprite arena, so a pass there does not show the real Microduck will kick a real ball. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/rokbenko-quackd/try-a-duck-goal-in-simulation/ ## How to command a real SO-101 arm with a plain-English goal with Quackd Repo: [rokbenko/quackd](https://github.com/rokbenko/quackd) | Difficulty: Advanced | Time: 120 minutes | Basis: From the README Give an SO-101 arm a goal from the terminal and let an LLM pick each joint call. **Who it is for:** A maker with a LeRobot SO-101 arm on a bench who wants to test LLM-driven motion on real hardware. **The problem:** Scripting each arm motion by hand takes time, and the arm cannot yet react to a goal stated in plain words. **The outcome:** The arm performs the stated goal, such as a wave, one model-chosen call at a time, and the transcript shows each call. ### Steps 1. Install Quackd with the LeRobot adapter and register the arm by name, with a rest pose, as described in the README (inferred, check the README) 2. Set your model key or start a local model server, following the README 3. Run: Quackd run --goal "Wave to the camera with an extended arm" 4. Stop the run if the arm moves unexpectedly, and review the transcript of calls ### Prompt to paste into your agent ```text Using the rokbenko/quackd repo, register an SO-101 arm over lerobot:real under the name with a rest pose, then run quackd run --goal "Wave to the camera with an extended arm". Report the list of calls the model made and whether the arm returned to rest. Verify that the arm is at its rest pose after the run before starting another goal. ``` ### Caveat The README reports that the arm fell at the end of its runs because LeRobot drops torque on disconnect, so set a rest pose and keep hands clear of the arm. Risk, credentials: The model API key you set for the pilot lets the model act on a physical arm, so keep the key out of shared scripts and logs. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/rokbenko-quackd/command-a-real-lerobot-arm-by-goal/ ## How to rehearse arm task files in simulation before the arm with Quackd Repo: [rokbenko/quackd](https://github.com/rokbenko/quackd) | Difficulty: Advanced | Time: 60 minutes | Basis: From the README Test an SO-101 task file in the arm's simulator before it touches real hardware. **Who it is for:** A maker writing task files for an arm who wants to avoid trial and error on the physical robot. **The problem:** Each failed motion on a real arm risks a fall or a damaged part, and the feedback loop is slow. **The outcome:** A task file runs in the LeRobot simulator first, so problems show up before the arm is powered. ### Steps 1. Open the example task files in docs/examples/lerobot/ and pick one close to your goal 2. Install the simulator extra described in docs/adapters/lerobot/README.md (inferred, check the README) 3. Register the simulated arm by name using the Quackd registration command in the README (inferred, check the README) 4. Run the task file against the simulated arm and review the result before switching to the real arm ### Prompt to paste into your agent ```text Using the rokbenko/quackd repo, pick a task file from docs/examples/lerobot/, run it against a simulated SO-101 arm registered as , and report whether the run completed. Verify that the same task file is then run against the real arm only after the simulated run succeeds. ``` ### Caveat The README says the arm's simulator is for rehearsing task files, and a task that passes there can still behave differently on the physical arm. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/rokbenko-quackd/rehearse-arm-tasks-in-simulation-first/ ## How to command a robot from a Claude chat window with Quackd Repo: [rokbenko/quackd](https://github.com/rokbenko/quackd) | Difficulty: Intermediate | Time: 45 minutes | Basis: From the README Send a goal to one of your registered robots from Claude over MCP. **Who it is for:** A robot owner who prefers chatting with Claude to typing terminal commands. **The problem:** Switching to a terminal for every goal interrupts the flow of asking a robot to do something. **The outcome:** You state a goal in chat and the registered robot runs it, with Quackd enforcing its skill and step limits. ### Steps 1. Install Quackd and register your robot by name following the README (inferred, check the README) 2. Connect Quackd to Claude through the MCP setup described in the README (inferred, check the README) 3. State a goal in the Claude chat, naming the robot 4. Check the reply for the outcome and any request for your approval ### Prompt to paste into your agent ```text Using the rokbenko/quackd repo, set up the MCP connection so Claude can reach quackd, then send the goal "Find the ball and kick it" to a robot registered as . Report what Claude returned and the final status. Verify that quackd applied the robot's skill list and step limit to the run. ``` ### Caveat The README describes chat as a way to state goals, but the exact MCP setup steps are not in the truncated text, so follow the MCP section of the README for them. Risk, credentials: Connecting Claude to Quackd uses your model API key and gives chat access to command your robots, so restrict who can reach that session. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/rokbenko-quackd/command-a-robot-from-claude-chat/ ## How to split one goal across a flock of simulated robots with Quackd Repo: [rokbenko/quackd](https://github.com/rokbenko/quackd) | Difficulty: Advanced | Time: 60 minutes | Basis: From the README Give a flock a goal so each robot's model divides the work by messaging the others. **Who it is for:** A developer testing multi-robot coordination who wants to see robots divide a task without a human assigning roles. **The problem:** Assigning subtasks to several robots by hand is slow, and each robot needs to know what the others can do. **The outcome:** A flock completes a shared goal, such as splitting a search so the closest duck kicks, with each robot's choices visible. ### Steps 1. Install Quackd with the microduck extra and register two or more simulated robots by name (inferred, check the README) 2. Group the registered robots into a flock using the flock command in the README (inferred, check the README) 3. Run: Quackd run --goal "Split the search, the closest duck kicks." against the flock 4. Review each robot's calls and confirm the flock finished the goal ### Prompt to paste into your agent ```text Using the rokbenko/quackd repo, register two simulated robots as and , group them into a flock named , and run the goal "Split the search, the closest duck kicks." Report which robot kicked and the calls each robot made. Verify that both robots received their own model pilot and that the goal completed. ``` ### Caveat The README says no flock has yet crossed from one machine to a second, so this works on one computer only. Dual-use notice: only use this on software, sites and systems you own or are authorized to test. Disclaimer: Third-party repos we don't own or vouch for. AI-generated use cases can be wrong: review everything and run at your own risk. Full text: https://dedupedai.com/disclaimer/ URL: https://dedupedai.com/use-cases/rokbenko-quackd/run-one-goal-across-a-flock/