foxglove
Skill93 starsChanged 3 months agoMITView on GitHub
Visualize live or recorded ROS robot data remotely with Foxglove or Lichtblick.
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
- gazeboSkill
- gemini-roboticsSkill
- huggingfaceSkill
- integrationSkill
- isaac-labSkill
- isaac-simSkill
- learning-loopSkill
- lerobotSkill
- live-demoSkill
- miningSkill
- mujocoSkill
- navigationSkill
- rerunSkill
- ros2Skill
- 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, 5 are distinctive, and 1 is very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈5
Distinctive · estimate
This author's own choices. Worth a look.
1
Very specific
Tied to their project's names, files or tools. Probably skip.
- Common
- Distinctive
- Very specific
- Distinctive: line 8
Treat remote visualization as a chain: ROS graph, bridge, network, client, and layout.
- Distinctive: line 13
Lichtblick: prefer an inspectable open-core viewer, local/offline use, or a browser client you can host and extend yourself.
- Distinctive: line 15
Foxglove: prefer its managed data, fleet, organization, and support services, or when the team already uses its layouts and platform.
- Very specific: line 21
Read client choices when licensing, hosting, extensions, or managed services affect the decision.
- Distinctive: line 28
Run the bridge near the ROS graph.
- Distinctive: line 30
Keep its unauthenticated WebSocket on a private network, VPN, or SSH tunnel.
≈ “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
Foxglove and Lichtblick
Treat remote visualization as a chain: ROS graph, bridge, network, client, and layout. Find the first link without evidence.
Choose the client deliberately
- Lichtblick: prefer an inspectable open-core viewer, local/offline use, or a browser client you can host and extend yourself.
- Foxglove: prefer its managed data, fleet, organization, and support services, or when the team already uses its layouts and platform.
- Both clients can consume a Foxglove WebSocket and recordings for the common ROS workflow. Re-check current licensing and self-hosting terms before making them an architecture dependency.
Read client choices when licensing, hosting, extensions, or
managed services affect the decision. If the visualization tool itself has not
been chosen, use visualization first.
Trace the live-data chain
- Prove the ROS topics and QoS locally before blaming the bridge.
- Run the bridge near the ROS graph; DDS discovery should not need to cross a browser, NAT boundary, or public internet.
- Keep its unauthenticated WebSocket on a private network, VPN, or SSH tunnel.
- Confirm the listening port and WebSocket reachability before debugging a client layout.
- Limit high-rate topics at the bridge when bandwidth is constrained. Hiding a panel does not reduce transport load.
- Save a focused layout per task and record before any run that must be shared, replayed, or compared.
For bridge, MCAP, navigation goals, teleop, actions, layouts, and custom clients, read ROS 2 workflows. For a connection that is blank, unreachable, mixed-content blocked, or missing controls, read failures.
Cross into ros2 when the local graph or QoS is wrong. Cross into
environments when the bridge host, VPN, or container cannot provide the
network contract. Cross into navigation only after pose, map, sensors, and
goal messages are proven across the viewer boundary.
Done
- The intended client reaches the bridge without exposing it publicly.
- The necessary topics render at useful rates and with correct frames.
- Controls publish to the interfaces the robot actually consumes.
- The layout and recording path can be reused by another person.
- Current behavior and hosting terms were checked against official Foxglove and Lichtblick 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.

