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Skillv1.0.0

imgaug-optical-flow

Optical Flow with Imgaug. motion detection.

by ssrjkk(0) 0 installs
Free
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Free account. Installing gives you the manifest plus copy-paste snippets.

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About

Imported from ssrjkk/claude-skills (.claude/skills/ai/imgaug-optical-flow/SKILL.md). Install upstream with npx skills add ssrjkk/claude-skills --skill imgaug-optical-flow. Copyright stays with the author.

Imgaug Optical Flow

Optical Flow with Imgaug. motion detection.

Quick Start

# Imgaug Optical Flow
# See Imgaug docs

When to Use

  • Building applications with Imgaug
  • motion detection
  • optical flow
  • video analysis

Step-by-Step

  1. Install: pip install imgaug
  2. Set up Imgaug
  3. Configure Optical Flow
  4. Implement features
  5. Test and verify

Dependencies

  • Imgaug >= latest stable
  • Runtime environment
  • Dependencies as needed

Examples

# Imgaug Optical Flow
# See Imgaug documentation

Resources

  • Official Imgaug documentation
  • Community tutorials
  • GitHub repositories

Validation

  • Run: imgaug --version
  • Test with sample data
  • Verify output correctness

Use it

Copy one of these into your project. Installing also returns the manifest and these snippets.

yaml
targets:
  - https://api.opensmartroute.ai/api/v1/registry/ssrjkk-claude-skills-imgaug-optical-flow/manifest   # or paste the manifest below

Manifest

An Open Capability Manifest: the router reads it to know what this does, what it costs and when to pick it.

ssrjkk-claude-skills-imgaug-optical-flow.ocm.jsonjson
{
  "ocm": "1",
  "id": "ssrjkk-claude-skills-imgaug-optical-flow",
  "kind": "skill",
  "name": "imgaug-optical-flow",
  "description": "Optical Flow with Imgaug. motion detection.",
  "publisher": "ssrjkk",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "general"
    ],
    "tags": [
      "skill-md",
      "imgaug",
      "optical-flow",
      "ai",
      "computer-vision",
      "github"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Optical Flow with Imgaug. motion detection."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github",
      "repository": "https://github.com/ssrjkk/claude-skills",
      "path": ".claude/skills/ai/imgaug-optical-flow/SKILL.md",
      "ref": "e1fe9f4b8b62cbb6be06d22940974a7ca87a70b9",
      "url": "https://github.com/ssrjkk/claude-skills/blob/e1fe9f4b8b62cbb6be06d22940974a7ca87a70b9/.claude/skills/ai/imgaug-optical-flow/SKILL.md",
      "key": "ssrjkk/claude-skills/.claude/skills/ai/imgaug-optical-flow/SKILL.md"
    }
  },
  "instructions": "# Imgaug Optical Flow\n\n> Optical Flow with Imgaug. motion detection.\n\n## Quick Start\n```python\n# Imgaug Optical Flow\n# See Imgaug docs\n```\n\n## When to Use\n- Building applications with Imgaug\n- motion detection\n- optical flow\n- video analysis\n\n## Step-by-Step\n1. Install: `pip install imgaug`\n2. Set up Imgaug\n3. Configure Optical Flow\n4. Implement features\n5. Test and verify\n\n## Dependencies\n- Imgaug >= latest stable\n- Runtime environment\n- Dependencies as needed\n\n## Examples\n```python\n# Imgaug Optical Flow\n# See Imgaug documentation\n```\n\n## Resources\n- Official Imgaug documentation\n- Community ",
  "cost": {
    "context_tokens": 181
  }
}

Fetch it by URL: GET /api/v1/registry/ssrjkk-claude-skills-imgaug-optical-flow/manifest?version=1.0.0

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