optical-frequency-calculation

Calculate optical frequency and wavelength relationships for photonics and electromagnetic analysis.

Best use case

optical-frequency-calculation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Calculate optical frequency and wavelength relationships for photonics and electromagnetic analysis.

Teams using optical-frequency-calculation should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/optical-frequency-calculation/SKILL.md --create-dirs "https://raw.githubusercontent.com/SpectrAI-Initiative/InnoClaw/main/.claude/skills/optical-frequency-calculation/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/optical-frequency-calculation/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How optical-frequency-calculation Compares

Feature / Agentoptical-frequency-calculationStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Calculate optical frequency and wavelength relationships for photonics and electromagnetic analysis.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Optical Frequency Calculation

## Usage

```python
import asyncio
import json
from contextlib import AsyncExitStack
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession

class OpticsClient:
    def __init__(self, server_url: str, api_key: str):
        self.server_url = server_url
        self.api_key = api_key
        self.session = None

    async def connect(self):
        try:
            self.transport = streamablehttp_client(url=self.server_url, headers={"SCP-HUB-API-KEY": self.api_key})
            self._stack = AsyncExitStack()
            await self._stack.__aenter__()
            self.read, self.write, self.get_session_id = await self._stack.enter_async_context(self.transport)
            self.session_ctx = ClientSession(self.read, self.write)
            self.session = await self._stack.enter_async_context(self.session_ctx)
            await self.session.initialize()
            return True
        except:
            return False

    async def disconnect(self):
        """Disconnect from server"""
        try:
            if hasattr(self, '_stack'):
                await self._stack.aclose()
            print("✓ already disconnect")
        except Exception as e:
            print(f"✗ disconnect error: {e}")
    def parse_result(self, result):
        try:
            if hasattr(result, 'content') and result.content:
                return json.loads(result.content[0].text)
            return str(result)
        except:
            return {"error": "parse error"}

## Initialize and use
client = OpticsClient("https://scp.intern-ai.org.cn/api/v1/mcp/23/Optics_and_Electromagnetics", "<your-api-key>")
await client.connect()

# Calculate frequency from wavelength
c = 3e8  # m/s (speed of light)
wavelength = 532e-9  # m (green laser)
frequency = c / wavelength
print(f"Frequency: {frequency/1e12:.2f} THz")

await client.disconnect()
```

### Use Cases
- Laser physics, optical communications, spectroscopy, photonics engineering

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