rviz2
Skill93 starsChanged 3 months agoMITView on GitHub
Inspect and debug live ROS 2 robot state with RViz2.
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
- ros2Skill
- runpodSkill
- simulationSkill
- skill-authorSkill
- test-assetsSkill
- testingSkill
- visualizationSkill
The file
We split this skill into the rules it gives an agent
7 rules. About 0 are common, 3 are distinctive, and 4 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈3
Distinctive · estimate
This author's own choices. Worth a look.
4
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Treat RViz2 as a consumer of ROS evidence.
- Distinctive: line 13
Start with a fixed frame that exists now, then add only the displays needed for the question being asked.
- Distinctive: line 15
Prefer adding by topic when discovering a graph.
- Very specific: line 17
Keep a saved .rviz configuration per robot and task.
- Very specific: line 26
Check fixed frame and TF first, then publisher/display QoS, then simulation time and /clock.
- Very specific: line 33
Read failures when something does not render.
- Very specific: line 38
Use foxglove instead for a headless, remote, browser, or shareable workflow.
≈ “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
RViz2
Treat RViz2 as a consumer of ROS evidence. A blank display usually means its frame, message, QoS, or time contract is wrong.
Build a focused view
- Start with a fixed frame that exists now, then add only the displays needed for the question being asked.
- Prefer adding by topic when discovering a graph; it helps match message type to display type.
- Keep a saved
.rvizconfiguration per robot and task. Do not rebuild the display list on every run or make one unreadable everything-dashboard. - For navigation, view raw sensors and TF alongside map, costmaps, footprint, plan, and robot model so upstream data can be distinguished from Nav2 output.
Read what the display is telling you
- A red or empty display is evidence about the input boundary, not proof that RViz itself is broken.
- Check fixed frame and TF first, then publisher/display QoS, then simulation
time and
/clock. - Compare the configured topic and namespace with the live graph; stale configs often point at an old robot name.
- A missing display plugin can fail one saved display while the rest of the config continues to load.
Read failures when something does not render. Cross into ros2
only when the evidence points to TF, QoS, graph, or time at the publisher. Cross
into navigation when those inputs are healthy but a costmap, plan, or
controller result is wrong.
Use foxglove instead for a headless, remote, browser, or shareable workflow;
use rerun for data-centric ML and non-ROS logging. If the viewer has not been
chosen, use visualization first.
Done
- The fixed frame is present and every displayed message transforms into it.
- Display QoS and topic namespaces match their publishers.
- Simulation time is consistent when applicable.
- The saved config opens into a focused, useful debugging view.
- Any CLI or UI details were checked against the installed RViz2 build and current RViz 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.

