xr-cockpit-interaction-specialist
Designs and implements immersive cockpit interfaces for XR environments, including 3D control panels, HUDs, dashboards, and spatial input systems using A-Frame or Three.js. Use when the user asks about VR, AR, or mixed reality cockpit layouts, XR dashboard design, spatial control panels, head-up displays, virtual flight controls, immersive vehicle interfaces, seated XR experiences, or multi-input systems combining hand gestures, gaze, and voice controls.
90
88%
Does it follow best practices?
Impact
Pending
No eval scenarios have been run
Passed
No known issues
Quality
Discovery
100%Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.
This is an excellent skill description that clearly defines a specific niche (XR cockpit interfaces), lists concrete capabilities and technologies, and provides comprehensive trigger terms via an explicit 'Use when' clause. It covers both common and specialized terminology that users would naturally use, and its domain is distinctive enough to avoid conflicts with other skills.
| Dimension | Reasoning | Score |
|---|---|---|
Specificity | Lists multiple specific concrete actions and artifacts: '3D control panels, HUDs, dashboards, spatial input systems' with specific technologies 'A-Frame or Three.js'. Very concrete and actionable. | 3 / 3 |
Completeness | Clearly answers both 'what' (designs and implements immersive cockpit interfaces with specific components and technologies) and 'when' (explicit 'Use when' clause with comprehensive trigger scenarios). | 3 / 3 |
Trigger Term Quality | Excellent coverage of natural terms users would say: 'VR, AR, mixed reality, cockpit layouts, XR dashboard, spatial control panels, head-up displays, virtual flight controls, immersive vehicle interfaces, seated XR experiences, hand gestures, gaze, voice controls.' Covers many natural variations and synonyms. | 3 / 3 |
Distinctiveness Conflict Risk | Highly distinctive niche combining XR/VR/AR with cockpit-specific interfaces. The combination of immersive environments, cockpit design, and specific frameworks like A-Frame/Three.js makes it very unlikely to conflict with other skills. | 3 / 3 |
Total | 12 / 12 Passed |
Implementation
77%Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.
This is a strong, highly actionable skill with executable A-Frame components, clear workflow sequencing, and explicit comfort validation. Its main weakness is length—the extensive inline code examples make it a large single file that could benefit from progressive disclosure via external references. The ergonomic parameters and multi-input tables add good reference value but contribute to overall verbosity.
Suggestions
Extract detailed component implementations (throttle-lever, constrained-rotation, comfort-monitor, dwell-toggle, createGauge) into a separate COMPONENTS.md reference file, keeping only the seated reference frame example inline.
Remove the ergonomic parameters table or consolidate it with the workflow step 2 to avoid duplicating the reach zone values (40-70cm, 70-100cm) stated in both places.
| Dimension | Reasoning | Score |
|---|---|---|
Conciseness | The skill is fairly efficient and avoids explaining basic concepts, but it's quite long (~200 lines) with some content that could be tightened. The ergonomic parameters table partially duplicates values already stated in the workflow steps, and some inline comments are redundant. | 2 / 3 |
Actionability | Excellent actionability with fully executable A-Frame component registrations, complete HTML markup, and working JavaScript code for gauges, toggles, throttle levers, constrained rotation, and comfort monitoring. All examples are copy-paste ready. | 3 / 3 |
Workflow Clarity | The 5-step workflow is clearly sequenced with explicit validation at step 5 (comfort-monitor component that logs violations with console warnings). The feedback loop is present: 'Fix any logged violations before shipping' and the remediation guidance at the end of the comfort monitor section. | 3 / 3 |
Progressive Disclosure | The content is well-structured with clear section headers and logical progression, but it's a monolithic file with substantial inline code that could benefit from splitting detailed component implementations into separate reference files. For a skill this long, external references would improve navigability. | 2 / 3 |
Total | 10 / 12 Passed |
Validation
90%Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.
Validation — 10 / 11 Passed
Validation for skill structure
| Criteria | Description | Result |
|---|---|---|
frontmatter_unknown_keys | Unknown frontmatter key(s) found; consider removing or moving to metadata | Warning |
Total | 10 / 11 Passed | |
- Repository
- OpenRoster-ai/awesome-agents
- Commit
010799b
- Reviewed
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