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Skillv1.0.0

control

Python interface to Lean control theory proofs. See README.md for control theory integration workflow. Verify: `python -c "import src.python.control; print('OK')"` for module import.

by docxology(0) 0 installs
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About

Imported from docxology/lean_niche (src/python/control/AGENTS.md). Install upstream with npx skills add docxology/lean_niche --skill control. Copyright stays with the author.

Control Theory Python Module

Layout: control_theory.py Control theory: Python orchestration for control system analysis Single module: No subdirectories Package structure: init.py for module imports

Python interface to Lean control theory proofs. See README.md for control theory integration workflow. Verify: python -c "import src.python.control; print('OK')" for module import.

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/docxology-lean-niche-control/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.

docxology-lean-niche-control.ocm.jsonjson
{
  "ocm": "1",
  "id": "docxology-lean-niche-control",
  "kind": "skill",
  "name": "control",
  "description": "Python interface to Lean control theory proofs. See README.md for control theory integration workflow. Verify: `python -c \"import src.python.control; print('OK')\"` for module import.",
  "publisher": "docxology",
  "version": "1.0.0",
  "capabilities": {
    "domains": [
      "coding"
    ],
    "tags": [
      "skill-md",
      "github-agents"
    ],
    "languages": [
      "en"
    ]
  },
  "quality_prior": 0.6,
  "examples": [
    "Python interface to Lean control theory proofs. See README.md for control theory integration workflow. Verify: `python -c \"import src.python.control; print('OK')\"` for module import."
  ],
  "primary": false,
  "metadata": {
    "source": {
      "provider": "github-agents",
      "repository": "https://github.com/docxology/lean_niche",
      "path": "src/python/control/AGENTS.md",
      "ref": "ee37dd23a4a26784a49e7d2605605b4fcad2436c",
      "url": "https://github.com/docxology/lean_niche/blob/ee37dd23a4a26784a49e7d2605605b4fcad2436c/src/python/control/AGENTS.md",
      "key": "docxology/lean_niche/src/python/control/AGENTS.md"
    }
  },
  "instructions": "# Control Theory Python Module\n\n**Layout**: control_theory.py\n**Control theory**: Python orchestration for control system analysis\n**Single module**: No subdirectories\n**Package structure**: __init__.py for module imports\n\nPython interface to Lean control theory proofs.\nSee README.md for control theory integration workflow.\nVerify: `python -c \"import src.python.control; print('OK')\"` for module import.",
  "cost": {
    "context_tokens": 101
  }
}

Fetch it by URL: GET /api/v1/registry/docxology-lean-niche-control/manifest?version=1.0.0

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