Augmented Reality Tracking
by Tibsfox · development · go, react, testing, skill
Tracking and registration fundamentals for augmented reality. Covers the six classes of tracking (marker, markerless, inertial, SLAM, outside-in, inside-out), registration error sources (calibration, latency, drift, distortion), the Azuma definition of AR, display configurations (optical see-through, video see-through, projection, handheld), and the interaction between tracking precision and user perception of "being there." Use when designing AR experiences, diagnosing registration issues, o...
Source: https://github.com/Tibsfox/gsd-skill-creator
Install
git clone https://github.com/Tibsfox/gsd-skill-creatorTags: go, react, testing, skill
⭐ 61 GitHub stars · Source: skillsdirectory
About development MCP servers and Claude skills
development MCP servers extend what AI agents can do inside Claude Code, Cursor, Copilot, Codex, and Windsurf. The Skiln directory indexes 16,000+ such integrations across 22 categories.
Augmented Reality Tracking is one of hundreds of development entries indexed on Skiln. Browse the full development category or the complete directory of Claude skills, MCP servers, agents, commands, and hooks.
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Frequently asked questions
How do I install Augmented Reality Tracking?
Add the install command above to your Claude Code, Cursor, or Windsurf MCP configuration. Most servers register via npx, a local command, or a Docker image. Refer to the source repository for environment variables and credential requirements.
Which clients support Augmented Reality Tracking?
Any MCP-compatible client works: Claude Desktop, Claude Code CLI, Cursor, Windsurf, Zed, and VS Code with the official MCP extension. OpenAI Codex and GitHub Copilot increasingly support MCP via adapter bridges.
Is Augmented Reality Tracking free?
The server itself is typically open source. Any upstream service (API keys, paid tiers, hosted infrastructure) may have its own pricing. Check the source repository for details.