Antv L7
antvis/L7
Comprehensive guide for AntV L7 geospatial visualization library.
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.
Install Matlab Import Driving Data
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-driving-data --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills-catalog/automotive/matlab-import-driving-data .claude/skills/matlab-import-driving-data && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "matlab-import-driving-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-data into .claude/skills/matlab-import-driving-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-driving-data", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-dataType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-driving-data --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills-catalog/automotive/matlab-import-driving-data .agents/skills/matlab-import-driving-data && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "matlab-import-driving-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-data into .agents/skills/matlab-import-driving-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-driving-data", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-driving-data --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills-catalog/automotive/matlab-import-driving-data .cursor/skills/matlab-import-driving-data && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "matlab-import-driving-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-data into .cursor/skills/matlab-import-driving-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-driving-data", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/matlab/matlab-agentic-toolkit.git --path skills-catalog/automotive/matlab-import-driving-data--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-driving-data --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills-catalog/automotive/matlab-import-driving-data .gemini/skills/matlab-import-driving-data && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "matlab-import-driving-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-data into .gemini/skills/matlab-import-driving-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-driving-data", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-driving-dataInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills-catalog/automotive/matlab-import-driving-data .github/skills/matlab-import-driving-data && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "matlab-import-driving-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-data into .github/skills/matlab-import-driving-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-driving-data", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install matlab/matlab-agentic-toolkit matlab-import-driving-data --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/matlab/matlab-agentic-toolkit.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills-catalog/automotive/matlab-import-driving-data .opencode/skills/matlab-import-driving-data && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "matlab-import-driving-data" agent skill from https://github.com/matlab/matlab-agentic-toolkit/tree/main/skills-catalog/automotive/matlab-import-driving-data into .opencode/skills/matlab-import-driving-data/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "matlab-import-driving-data", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
matlab-import-driving-data- GitHub stars
- 1.1k
- Token cost
- ~4.6k tokens
- SKILL.md length
- 1,750 words
- Files
- 4 (incl. references)
- Skills in repo
- 142
- Repo updated
- First seen
- Licence
- Custom licence
At a glance
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.
- Works in 6 steps: GPS → GPSData → Annotations → ActorTrackData → Camera → CameraData → …
- Raw driving dataset files (KITTI
- SKILL.md covers Rule 0 — DLA is opt-in only…, When to Use, When NOT to Use and IMPORTANT — Execution Rules, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Matlab Import Driving Data is an agent skill from matlab/matlab-agentic-toolkit. Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder. objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and run preprocessing — synchronize, offset correction, crop, normalizeTimestamps, convertTimestamps. Also: compute actor tracks from lidar when no annotations exist, attach camera/lidar mounting + intrinsics, export to MAT/workspace/timetable/script. Use for raw driving dataset files (KITTI, nuScenes, Waymo, Pandaset, ROS/ROS2 bags…
Its SKILL.md is about 4.6k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files, including reference files (for example `manifest.yaml`, `references/sensor-import-api.md` and `references/workflow-driving-log-analyzer.md`).
It sits in Data & Analytics, covering Geospatial analysis, Game development and CSV and tabular files. The repository describes itself as: The MATLAB Agentic Toolkit brings proven MATLAB capabilities to AI agents, making engineering and scientific workflows agent-ready.
When your agent uses it
- Raw driving dataset files (KITTI
- Driving/vehicle/sensor logs that need wrapping
Example prompts
- “open in DLA”
- “inspect/explore/analyze the recording”
- “/matlab-import-driving-data”
Workflow steps
6 steps, taken from the step headings in SKILL.md.
- GPS → GPSData
- Annotations → ActorTrackData
- Camera → CameraData
- Lidar → LidarData
- Synchronize All Sensors
- Launch DLA — only when explicitly requested (Rule 0)
What it can do on your machine
Read from SKILL.md and the folder at commit 59dfd92. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md (its code samples are matlab).
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Matlab Import Driving Data loads about 4.6k tokens when it runs, and up to ~10k if it reads all its reference files. Until then it costs about 256 tokens; SKILL.md has 1,750 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
Its licence (Custom licence) doesn't allow us to republish the file, so here is its outline and opening line. It has 1,750 words (~4,649 tokens).
“This skill loads raw driving sensor data into scenariobuilder.* objects (GPSData, CameraData, LidarData, ActorTrackData, Trajectory, laneData) and provides the CLI for every preprocessing step DLA exposes (sync, crop, offset, normalize, convert timestamps). It also covers the drivingLogAnalyzer (DLA) app as…”
- name
- matlab-import-driving-data
- license
- https://www.mathworks.com/content/dam/mathworks/license/pmrl/license.md
- metadata.author
- MathWorks
- metadata.version
- 2.0
Files
SKILL.md and 3 other files (references) in skills-catalog/automotive/matlab-import-driving-data of matlab/matlab-agentic-toolkit.
- SKILL.md
- manifest.yaml
- references/sensor-import-api.md
- references/workflow-driving-log-analyzer.md
Open the folder on GitHubat commit 59dfd92
Compare with similar skills
Matlab Import Driving Data next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Matlab Import Driving Data this skillmatlab/matlab-agentic-toolkit | 1.1k | — | ~4.6k | Automated safety check: Pass | Custom licence | |
| Antv L7antvis/L7 | 4.1k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Antv L7antvis/L7 | 4.1k | — | ~4.4k | Automated safety check: Pass | MIT | |
| Excel and CSV Data Analysisbytedance/deer-flow | 83k | 4 repos | ~2.2k | Automated safety check: Pass | MIT | |
| Exploratory Data AnalysisOleafly/Oleafly | 206 | 3 repos | ~3.4k | Automated safety check: Notes | MIT | |
| CSV Data Summarizercoffeefuelbump/csv-data-summarizer-claude-skill | 468 | 2 repos | ~1.4k | Automated safety check: Pass | None |
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Related
Questions about Matlab Import Driving Data
What does Matlab Import Driving Data do?
Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder. Matlab Import Driving Data is an agent skill from matlab/matlab-agentic-toolkit. Import recorded driving sensor data (GPS, camera, lidar, actor tracks, lanes) into scenariobuilder.
When should I use Matlab Import Driving Data?
Matlab Import Driving Data fits situations like: raw driving dataset files (KITTI; driving/vehicle/sensor logs that need wrapping.
How do I install Matlab Import Driving Data in Claude Code?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a claude-code`. Or copy the skill folder (skills-catalog/automotive/matlab-import-driving-data in matlab/matlab-agentic-toolkit) into .claude/skills/matlab-import-driving-data in your project. Claude Code loads it when a task matches its description.
How do I install Matlab Import Driving Data in Codex?
Run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a codex`. Or copy the skill folder (skills-catalog/automotive/matlab-import-driving-data in matlab/matlab-agentic-toolkit) into .agents/skills/matlab-import-driving-data in your project. Codex loads it when a task matches its description.
Can I use Matlab Import Driving Data in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add matlab/matlab-agentic-toolkit --skill matlab-import-driving-data -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/matlab-import-driving-data, .gemini/skills/matlab-import-driving-data, .github/skills/matlab-import-driving-data and .opencode/skills/matlab-import-driving-data in your project.
What does Matlab Import Driving Data need to run?
SKILL.md names no scripts, command-line tools or credentials: Matlab Import Driving Data is instructions for the agent only.
Does Matlab Import Driving Data access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Matlab Import Driving Data safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Matlab Import Driving Data use?
Matlab Import Driving Data has a licence file (the repository's licence) that doesn't match a standard licence. Read it on GitHub before reusing the skill.
How many tokens does Matlab Import Driving Data use?
About 4.6k tokens (SKILL.md is roughly 19k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 5.6k tokens, read only when the agent opens those files.
What are the alternatives to Matlab Import Driving Data?
Skills that share tags, products or a category with Matlab Import Driving Data: Antv L7 (antvis/L7, 4.1k stars), Antv L7 (antvis/L7, 4.1k stars), Excel and CSV Data Analysis (bytedance/deer-flow, 83k stars) and Exploratory Data Analysis (Oleafly/Oleafly, 206 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Matlab Import Driving Data?
matlab (a GitHub organization) maintains it in matlab/matlab-agentic-toolkit, which has 1,140 GitHub stars. The repository holds 142 skills in this directory. The repository was last updated on October 7, 2026.
Source: matlab/matlab-agentic-toolkit on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.