ros2
Skill93 starsChanged 3 months agoMITView on GitHub
Build and debug robot software whose runtime interfaces use ROS 2.
2 other projects use a version of this.
Adopted by
Most recently taken up by
- jewel-nath/agentic-roboticstheir own version, first seen Nov 1, 2026
- antioch-robotics/antioch-agent-plugintheir own version, first seen Oct 28, 2026
Other versions2 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 2
- jewel-nath/agentic-robotics★ 3same name
- antioch-robotics/antioch-agent-plugin★ 1same name
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
In this repository32 other files it gives its agents.
- AGENTS.mdAGENTS.md
- learnings/AGENTS.mdAGENTS.md
- skills/AGENTS.mdAGENTS.md
- CLAUDE.mdCLAUDE.md
- learnings/CLAUDE.mdCLAUDE.md
- skills/CLAUDE.mdCLAUDE.md
- app-publishingSkill
- architectSkill
- cloud-runSkill
- dataSkill
- environmentsSkill
- foxgloveSkill
- gazeboSkill
- gemini-roboticsSkill
- huggingfaceSkill
- integrationSkill
- isaac-labSkill
- isaac-simSkill
- learning-loopSkill
- lerobotSkill
- live-demoSkill
- miningSkill
- mujocoSkill
- navigationSkill
- rerunSkill
- runpodSkill
- rviz2Skill
- simulationSkill
- skill-authorSkill
- test-assetsSkill
- testingSkill
- visualizationSkill
The file
We split this skill into the rules it gives an agent
6 rules. About 0 are common, 4 are distinctive, and 2 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈4
Distinctive · estimate
This author's own choices. Worth a look.
2
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Treat ROS 2 as a live distributed graph.
- Very specific: line 17
Run rosdep after a fresh clone or dependency change, before interpreting a build failure as a source bug.
- Distinctive: line 19
Prefer an overlay package or launch-time wiring over editing an installed third-party package.
- Distinctive: line 36
Use topics for streams, services for bounded requests, and actions for long-running goals with feedback and cancellation.
- Distinctive: line 48
When callbacks block or unexpectedly serialize, read concurrency before adding executor threads.
- Very specific: line 53
Use the bundled ament_python example only when a complete minimal package is useful.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Files
ROS 2
Treat ROS 2 as a live distributed graph. Inspect the graph that is actually running before changing source code.
Establish the environment
- Identify the repository's ROS distro, RMW implementation, workspace, and
ROS_DOMAIN_ID; do not substitute catalog-wide defaults. - Source the underlay before the workspace overlay. A fresh shell is a fresh environment.
- Run
rosdepafter a fresh clone or dependency change, before interpreting a build failure as a source bug. - Prefer an overlay package or launch-time wiring over editing an installed third-party package.
Inspect the boundary that failed
- Build: separate missing dependencies, package metadata, and stale build artifacts from compiler or application failures.
- Launch: resolve the final arguments, parameters, namespaces, and remaps; do not reason only from a launch file's defaults.
- Graph: confirm that the expected nodes and endpoints exist and that names include the namespace you expect.
- Messages: compare publisher and subscriber types and QoS. Discovery without data is often an interface mismatch, especially for sensor topics.
- Time and transforms: confirm a single time source and a connected, current TF path before debugging downstream behavior.
- Lifecycle: distinguish an inactive node from a missing or crashed node.
Use topics for streams, services for bounded requests, and actions for long-running goals with feedback and cancellation. Choose based on semantics, not convenience.
Go deeper only when needed
- For workspace layout, package anatomy, overlays, and
rosdep, read workspace and packages. - For launch composition, parameters, includes, remaps, and relays, read launch patterns.
- For topics, services, actions, QoS, and TF fundamentals, read interfaces and QoS.
- When callbacks block or unexpectedly serialize, read concurrency before adding executor threads.
- For a failing command or silent graph, read failures and then the fuller debugging guide if necessary.
- For Create 3 and TurtleBot 4 evidence, read TurtleBot 4.
- Use the bundled
ament_pythonexample only when a complete minimal package is useful; re-check its APIs against the project's distro.
Cross into navigation, gazebo, or a visualization skill only after ROS 2
evidence shows that their boundary is receiving valid data. Cross into
integration when the failure is between processes, containers, or non-ROS
systems; use environments when the runtime itself is not reproducible.
Done
- The intended nodes and endpoints exist under the expected names.
- QoS, time, and TF contracts are compatible at every changed boundary.
- A message, service response, or action result proves the real interface, not merely that processes started.
- Version-sensitive syntax was checked against the project's ROS distro and current ROS 2 documentation.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.

