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OpenVINO — real-time object detection via Docker (NCS2, Intel GPU, CPU)
Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations.
Install Uav Mission Compute SDK
$ npx skills add open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install open-edge-platform/edge-ai-suites uav-mission-compute-sdk --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/open-edge-platform/edge-ai-suites.git skills-src && mkdir -p .claude/skills && cp -r skills-src/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk .claude/skills/uav-mission-compute-sdk && 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 "uav-mission-compute-sdk" agent skill from https://github.com/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk into .claude/skills/uav-mission-compute-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uav-mission-compute-sdk", 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/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdkType 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 open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install open-edge-platform/edge-ai-suites uav-mission-compute-sdk --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-suites.git skills-src && mkdir -p .agents/skills && cp -r skills-src/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk .agents/skills/uav-mission-compute-sdk && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "uav-mission-compute-sdk" agent skill from https://github.com/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk into .agents/skills/uav-mission-compute-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uav-mission-compute-sdk", 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 open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install open-edge-platform/edge-ai-suites uav-mission-compute-sdk --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-suites.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk .cursor/skills/uav-mission-compute-sdk && 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 "uav-mission-compute-sdk" agent skill from https://github.com/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk into .cursor/skills/uav-mission-compute-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uav-mission-compute-sdk", 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/open-edge-platform/edge-ai-suites.git --path federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk--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 open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install open-edge-platform/edge-ai-suites uav-mission-compute-sdk --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-suites.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk .gemini/skills/uav-mission-compute-sdk && 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 "uav-mission-compute-sdk" agent skill from https://github.com/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk into .gemini/skills/uav-mission-compute-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uav-mission-compute-sdk", 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 open-edge-platform/edge-ai-suites uav-mission-compute-sdkInstalls 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 open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-suites.git skills-src && mkdir -p .github/skills && cp -r skills-src/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk .github/skills/uav-mission-compute-sdk && 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 "uav-mission-compute-sdk" agent skill from https://github.com/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk into .github/skills/uav-mission-compute-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uav-mission-compute-sdk", 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 open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install open-edge-platform/edge-ai-suites uav-mission-compute-sdk --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/open-edge-platform/edge-ai-suites.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk .opencode/skills/uav-mission-compute-sdk && 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 "uav-mission-compute-sdk" agent skill from https://github.com/open-edge-platform/edge-ai-suites/tree/main/federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk into .opencode/skills/uav-mission-compute-sdk/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "uav-mission-compute-sdk", 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
uav-mission-compute-sdk- GitHub stars
- 140
- Token cost
- ~1.1k tokens
- SKILL.md length
- 192 words
- Files
- 3
- Skills in repo
- 13
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations.
- Infrastructure validation
- SKILL.md covers When to Use This Skill, Quick Start, Workflows and Key Ports, plus 2 more sections
- Calls make, curl and docker
- Camera profile switching (sim/USB/RealSense)
What it does
Uav Mission Compute SDK is an agent skill from open-edge-platform/edge-ai-suites. Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations. USE FOR: SDK setup, infrastructure validation, camera profile switching (sim/USB/RealSense), mission execution, telemetry benchmarking, Ethernet remote PX4 deployment. DO NOT USE FOR: General PX4 flight control beyond MQTT/REST, custom hardware integration details, or production flight planning.
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `benchmark/benchmark.md` and `evals/evals.json`). Compatibility notes: Requires Docker Engine 24+, Docker Compose v2, Python 3.10+, Ubuntu 24.04, Intel GPU recommended
It sits in AI & LLM Engineering, covering Computer vision. The repository describes itself as: A curated collection of sample applications intended for reference in developing optimized AI solutions and testing hardware performance across various industry use cases. The licence is Apache-2.0.
When your agent uses it
- Infrastructure validation
- Camera profile switching (sim/USB/RealSense)
- Mission execution
- Telemetry benchmarking
Example prompts
- “/uav-mission-compute-sdk”
Requirements
- Python 3
- Docker
- Compatibility (from SKILL.md): Requires Docker Engine 24+, Docker Compose v2, Python 3.10+, Ubuntu 24.04, Intel GPU recommended
What it can do on your machine
Read from SKILL.md and the folder at commit decbb06. 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
Shell commands in SKILL.md call:
makecurldockerffmpeg
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md. Its commands use curl and docker, which can reach the network depending on how they are called.
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.
Compatibility
Requires Docker Engine 24+, Docker Compose v2, Python 3.10+, Ubuntu 24.04, Intel GPU recommended
From compatibility in the SKILL.md frontmatter.
Context cost
Uav Mission Compute SDK loads about 1.1k tokens when it runs. Until then it costs about 116 tokens; SKILL.md has 192 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: notes
The automated check noted patterns worth knowing about, such as sudo or a known installer.
- NoteMentions a .env fileSKILL.md:25
make init # Initialize .env, detect GPU/RealSense - NoteMentions a .env fileSKILL.md:35
make init # Creates .env, auto-detects GPU and RealSense devices
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
The full file from open-edge-platform/edge-ai-suites at commit decbb06, republished under its Apache-2.0 licence (© open-edge-platform). 192 words, ~1,130 tokens.
Download SKILL.mdSave it as
.claude/skills/uav-mission-compute-sdk/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.- name
- uav-mission-compute-sdk
- description
- Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations. USE FOR: SDK setup, infrastructure validation, camera profile switching (sim/USB/RealSense), mission execution, telemetry benchmarking, Ethernet remote PX4 deployment. DO NOT USE FOR: General PX4 flight control beyond MQTT/REST, custom hardware integration details, or production flight planning.
- compatibility
- Requires Docker Engine 24+, Docker Compose v2, Python 3.10+, Ubuntu 24.04, Intel GPU recommended
- license
- Apache-2.0
- metadata.author
- Intel Open Edge Platform Team
- metadata.tags
- uav, px4, mavlink, mqtt, docker
UAV Mission Compute SDK Skill
Operate the UAV Mission Compute SDK for PX4 SITL, camera streaming (sim/USB/RealSense), telemetry, and edge AI demonstrations.
When to Use This Skill
Use for: SDK initialization, infrastructure validation, camera switching, telemetry benchmarking, remote PX4 deployment, AI analytics integration, troubleshooting.
Do not use for: General PX4 control beyond REST/MQTT, production flight planning, custom hardware integration.
Quick Start
make init # Initialize .env, detect GPU/RealSense
make up-sim-camera # Start Gazebo with 3 cameras
/validate-infra # Confirm all services healthy
curl -X POST http://localhost:8080/action/arm # Arm UAVWorkflows
Initialize SDK
make init # Creates .env, auto-detects GPU and RealSense devicesSwitch Camera Profiles
/switch-camera-mode sim|usb|realsense # Atomic teardown + startupBefore USB/RealSense: Use v4l2-ctl --list-devices (USB) or make init after plugging in RealSense.
Validate Infrastructure
/validate-infra # Checks PX4, MQTT, bridges, REST, RTSP, telemetryCapture Frames
curl -X POST http://localhost:8080/action/arm # Required: RTSP only when armed
ffmpeg -i rtsp://localhost:8554/uav-1/nadir -frames:v 1 /tmp/frame.jpg -yRun Benchmarks
make deps # One-time setup
make bench # Passive telemetry (30s)
make bench-client-sweep # Fan-out scaling (1, 5, 10, 25 clients)
make bench-bridge-sweep # Stress test (20, 50, 100, 150 Hz)
make bench-all ARGS="--html-report" # All modes + HTMLDeploy Remote PX4
export FC_IP=192.168.1.100
make up-ethernet FC_IP=$FC_IPRecover from PX4 Restart
docker compose restart px4 mediamtx companion-bridge
/validate-infraSafe Cleanup
/cleanup-stack # Safe: stops apps, runs make clean
make clean-all # Destructive: removes volumes + imagesKey Ports
| Service | Port | Purpose |
|---|---|---|
| REST API | :8080 | Arm, takeoff, land |
| MQTT | :1884 | Telemetry + detections |
| RTSP (raw) | :8554 | Camera streams |
| Grafana | :3000 | Dashboards (admin/uav-sdk) |
| InfluxDB | :8086 | Time-series DB |
Common Fixes
| Issue | Fix |
|---|---|
| PX4 unhealthy | docker compose restart px4 |
| No RTSP streams | Arm first: curl -X POST http://localhost:8080/action/arm |
| USB camera not found | Run v4l2-ctl --list-devices, verify /dev/videoX |
| RealSense not detected | Run make init after plugging in camera |
| Stale containers | docker compose restart px4 mediamtx companion-bridge |
References
- CLAUDE.md — MQTT topics, RTSP paths, ports, gotchas
- docs/user-guide/ — Detailed procedures
- docs/user-guide/benchmarking.md — Benchmark methodology
- docs/user-guide/ethernet-px4.md — Remote PX4 setup
- docs/user-guide/ports.md — All ports and endpoints
© open-edge-platform, Apache-2.0. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 2 other files in federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk of open-edge-platform/edge-ai-suites.
- SKILL.md
- benchmark/benchmark.md
- evals/evals.json
Open the folder on GitHubat commit decbb06
Compare with similar skills
Uav Mission Compute SDK 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 |
|---|---|---|---|---|---|---|
| Uav Mission Compute SDK this skillopen-edge-platform/edge-ai-suites | 140 | — | ~1.1k | Automated safety check: Notes | Apache-2.0 | |
| Yolo Detection 2026 OpenvinoSharpAI/DeepCamera | 3.1k | — | ~1.3k | Automated safety check: Pass | MIT | |
| Tao Validate Recipe TransferNVIDIA/skills | 3.6k | — | ~4.2k | Automated safety check: Notes | Apache-2.0 | |
| UltralyticsVectorSpaceLab/AREX-Skill | 331 | — | ~1.2k | Automated safety check: Pass | AGPL-3.0 | |
| Segment Anything Model GuideOrchestra-Research/AI-Research-SKILLs | 13k | 8 repos | ~3.3k | Automated safety check: Pass | MIT | |
| CLIP Image-Text MatchingOrchestra-Research/AI-Research-SKILLs | 13k | 7 repos | ~1.7k | Automated safety check: Pass | MIT |
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Categories
Questions about Uav Mission Compute SDK
What does Uav Mission Compute SDK do?
Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations. Uav Mission Compute SDK is an agent skill from open-edge-platform/edge-ai-suites. Operate and troubleshoot the UAV Mission Compute SDK for PX4 telemetry, camera streaming, missions, computer vision, and edge AI demonstrations.
When should I use Uav Mission Compute SDK?
Uav Mission Compute SDK fits situations like: infrastructure validation; camera profile switching (sim/USB/RealSense); mission execution; telemetry benchmarking.
How do I install Uav Mission Compute SDK in Claude Code?
Run `npx skills add open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a claude-code`. Or copy the skill folder (federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk in open-edge-platform/edge-ai-suites) into .claude/skills/uav-mission-compute-sdk in your project. Claude Code loads it when a task matches its description.
How do I install Uav Mission Compute SDK in Codex?
Run `npx skills add open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a codex`. Or copy the skill folder (federal-and-aerospace-ai-suite/uav-mission-compute-sdk/skills/uav-mission-compute-sdk in open-edge-platform/edge-ai-suites) into .agents/skills/uav-mission-compute-sdk in your project. Codex loads it when a task matches its description.
Can I use Uav Mission Compute SDK 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 open-edge-platform/edge-ai-suites --skill uav-mission-compute-sdk -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/uav-mission-compute-sdk, .gemini/skills/uav-mission-compute-sdk, .github/skills/uav-mission-compute-sdk and .opencode/skills/uav-mission-compute-sdk in your project.
What does Uav Mission Compute SDK need to run?
Going by SKILL.md and its folder, Uav Mission Compute SDK needs the command-line tools its instructions call (make, curl, docker and ffmpeg). Our summary lists: Python 3; Docker. Compatibility (from SKILL.md): Requires Docker Engine 24+, Docker Compose v2, Python 3.10+, Ubuntu 24.04, Intel GPU recommended.
Does Uav Mission Compute SDK access the network?
SKILL.md contains no URLs. Its commands use curl and docker, which can reach the network depending on how they are called. This is read from the text; nothing was executed.
Is Uav Mission Compute SDK safe to install?
Our automated static check of SKILL.md found notes only (mentions a .env file), nothing it rates as a warning. It is not a guarantee. Review the folder before installing.
What licence does Uav Mission Compute SDK use?
Uav Mission Compute SDK is published under the Apache-2.0 licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Uav Mission Compute SDK use?
About 1.1k tokens (SKILL.md is roughly 4.5k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Uav Mission Compute SDK?
Skills that share tags, products or a category with Uav Mission Compute SDK: Yolo Detection 2026 Openvino (SharpAI/DeepCamera, 3.1k stars), Tao Validate Recipe Transfer (NVIDIA/skills, 3.6k stars), Ultralytics (VectorSpaceLab/AREX-Skill, 331 stars) and Segment Anything Model Guide (Orchestra-Research/AI-Research-SKILLs, 13k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Uav Mission Compute SDK?
open-edge-platform (a GitHub organization) maintains it in open-edge-platform/edge-ai-suites, which has 140 GitHub stars. The repository holds 13 skills in this directory. The repository was last updated on October 9, 2026.
Source: open-edge-platform/edge-ai-suites on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.