Convert robot map artifacts and scene-engine room assets into Actionable Semantic Map Snapshot or public room semantic overlay artifacts.
EnglishLabel visible cleanup-relevant movable objects from grouped RAW-FPV frames without creating executable cleanup handles.
EnglishUse when the user asks whether a Roboclaws live-agent report run is faster, wants to compare Agent SDK/Codex/Claude cleanup reports, asks about model-call work, residual latency, speedup validity, or report performance under provider/network variance. The skill extracts sanitized JSON metrics first and answers only from generated metric/comparison artifacts, not from report.html scraping or raw prompts.
EnglishAlign scene Gaussian/splat, USD/mesh, and robot semantic-map assets into an honest digital-twin evidence workflow. Use when a new Gaussian scene arrives, when B1/Map12-style assets need to be connected, when semantic map anchors are being projected into a 3D scene, or when an agent must decide whether an alignment is candidate, verified, runtime-proven, or planner-backed.
EnglishCreate blog, README, social, or demo-review visual showcases from completed Roboclaws run artifacts, especially chaptered GIFs/contact sheets for household cleanup runs. Use when asked to turn report output, robotviews, traces, or runresult.json into polished visual result evidence without rerunning the robot task.
English
AGENT SKILLS ATLASIncludes Actionable Semantic Map Conversion, Raw Fpv Visual Labeler, Report Performance Analysis, and other workflows.
Claude Code
Codex
Cursor
GitHub Copilot
Gemini CLISupported by the Atlas install prompt. Skill-specific requirements vary.
Pack stats
What’s included
Actionable Semantic Map Conversion
Convert robot map artifacts and scene-engine room assets into Actionable Semantic Map Snapshot or public room semantic overlay artifacts.
Raw Fpv Visual Labeler
Label visible cleanup-relevant movable objects from grouped RAW-FPV frames without creating executable cleanup handles.
Report Performance Analysis
Use when the user asks whether a Roboclaws live-agent report run is faster, wants to compare Agent SDK/Codex/Claude cleanup reports, asks about model-call work, residual latency, speedup validity, or report performance under provider/network variance. The skill extracts sanitized JSON metrics first and answers only from generated metric/comparison artifacts, not from report.html scraping or raw prompts.
Scene Gaussian Map Alignment
Align scene Gaussian/splat, USD/mesh, and robot semantic-map assets into an honest digital-twin evidence workflow. Use when a new Gaussian scene arrives, when B1/Map12-style assets need to be connected, when semantic map anchors are being projected into a 3D scene, or when an agent must decide whether an alignment is candidate, verified, runtime-proven, or planner-backed.
Visual Result Showcase
Create blog, README, social, or demo-review visual showcases from completed Roboclaws run artifacts, especially chaptered GIFs/contact sheets for household cleanup runs. Use when asked to turn report output, robotviews, traces, or runresult.json into polished visual result evidence without rerunning the robot task.
Quick start
- Choose your skills. Select individual skills above, or choose the entire pack.
- Copy the install prompt. Use Copy install prompt above the list.
- Send it to your agent. Paste into your coding agent’s chat. Your agent reviews the source and guides the setup.
Try it with your agent
After installation, start with a request like:
Use the Actionable Semantic Map Conversion skill to help with my task.
Ask me for the context you need before getting started.Requirements & license
- A coding agent that can access your project files and install skills.
- Your agent checks each skill’s instructions, dependencies, and permissions during setup.
- Reported license for the skills shown: MIT. The author’s terms apply.