.claude/skills/geometry_trigonometry/SKILL.md
Geometry & Trigonometry Suite - Solve geometry problems: calculate area, height from sine, angle in degrees, and increase factor. Use this skill for mathematics tasks involving calculate area calculate height from length and sine calculate phi deg calculate increase factor. Combines 4 tools from 1 SCP server(s).
npx skillsauth add SpectrAI-Initiative/InnoClaw geometry_trigonometryInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Discipline: Mathematics | Tools Used: 4 | Servers: 1
Solve geometry problems: calculate area, height from sine, angle in degrees, and increase factor.
calculate_area from server-25 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/25/Geometry_and_mathematical_calculationscalculate_height_from_length_and_sine from server-25 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/25/Geometry_and_mathematical_calculationscalculate_phi_deg from server-25 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/25/Geometry_and_mathematical_calculationscalculate_increase_factor from server-25 (streamable-http) - https://scp.intern-ai.org.cn/api/v1/mcp/25/Geometry_and_mathematical_calculations{
"length": 10,
"width": 5,
"angle": 30
}
Note: Replace
sk-b04409a1-b32b-4511-9aeb-22980abdc05cwith your own SCP Hub API Key. You can obtain one from the SCP Platform.
import asyncio
import json
from contextlib import AsyncExitStack
from mcp import ClientSession
from mcp.client.streamable_http import streamablehttp_client
from mcp.client.sse import sse_client
SERVERS = {
"server-25": "https://scp.intern-ai.org.cn/api/v1/mcp/25/Geometry_and_mathematical_calculations"
}
async def connect(url, stack):
transport = streamablehttp_client(url=url, headers={"SCP-HUB-API-KEY": "sk-b04409a1-b32b-4511-9aeb-22980abdc05c"})
read, write, _ = await stack.enter_async_context(transport)
ctx = ClientSession(read, write)
session = await stack.enter_async_context(ctx)
await session.initialize()
return session
def parse(result):
try:
if hasattr(result, 'content') and result.content:
c = result.content[0]
if hasattr(c, 'text'):
try: return json.loads(c.text)
except: return c.text
return str(result)
except: return str(result)
async def main():
async with AsyncExitStack() as stack:
# Connect to required servers
sessions = {}
sessions["server-25"] = await connect("https://scp.intern-ai.org.cn/api/v1/mcp/25/Geometry_and_mathematical_calculations", stack)
# Execute workflow steps
# Step 1: Calculate area
result_1 = await sessions["server-25"].call_tool("calculate_area", arguments={})
data_1 = parse(result_1)
print(f"Step 1 result: {json.dumps(data_1, indent=2, ensure_ascii=False)[:500]}")
# Step 2: Calculate height from sine
result_2 = await sessions["server-25"].call_tool("calculate_height_from_length_and_sine", arguments={})
data_2 = parse(result_2)
print(f"Step 2 result: {json.dumps(data_2, indent=2, ensure_ascii=False)[:500]}")
# Step 3: Convert angle to degrees
result_3 = await sessions["server-25"].call_tool("calculate_phi_deg", arguments={})
data_3 = parse(result_3)
print(f"Step 3 result: {json.dumps(data_3, indent=2, ensure_ascii=False)[:500]}")
# Step 4: Calculate increase factor
result_4 = await sessions["server-25"].call_tool("calculate_increase_factor", arguments={})
data_4 = parse(result_4)
print(f"Step 4 result: {json.dumps(data_4, indent=2, ensure_ascii=False)[:500]}")
# Cleanup
print("Workflow complete!")
if __name__ == "__main__":
asyncio.run(main())
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