buoyancy-acceleration-calculation
Calculate buoyancy forces and acceleration for fluid mechanics and hydrodynamics analysis.
Best use case
buoyancy-acceleration-calculation is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Calculate buoyancy forces and acceleration for fluid mechanics and hydrodynamics analysis.
Teams using buoyancy-acceleration-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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/buoyancy-acceleration-calculation/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How buoyancy-acceleration-calculation Compares
| Feature / Agent | buoyancy-acceleration-calculation | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Calculate buoyancy forces and acceleration for fluid mechanics and hydrodynamics 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
# Buoyancy and Acceleration Calculation
## Usage
```python
import asyncio
import json
from mcp.client.streamable_http import streamablehttp_client
from mcp import ClientSession
class FluidClient:
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.read, self.write, self.get_session_id = await self.transport.__aenter__()
self.session_ctx = ClientSession(self.read, self.write)
self.session = await self.session_ctx.__aenter__()
await self.session.initialize()
return True
except:
return False
async def disconnect(self):
if self.session:
await self.session_ctx.__aexit__(None, None, None)
if hasattr(self, 'transport'):
await self.transport.__aexit__(None, None, None)
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 = FluidClient("https://scp.intern-ai.org.cn/api/v1/mcp/22/Thermal _Fluid_Dynamics", "<your-api-key>")
await client.connect()
# Calculate buoyancy force
rho_fluid = 1000 # kg/m³ (water)
g = 9.81 # m/s²
volume = 0.001 # m³
buoyancy_force = rho_fluid * g * volume
print(f"Buoyancy force: {buoyancy_force:.2f} N")
# Calculate acceleration
mass = 0.5 # kg
net_force = buoyancy_force - (mass * g)
acceleration = net_force / mass
print(f"Acceleration: {acceleration:.2f} m/s²")
await client.disconnect()
```
### Use Cases
- Naval architecture, submarine design, fluid dynamics, floating structuresRelated Skills
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