// Follow the project's Python-based tech stack using uv, FastMCP, Claude Agent SDK, Pydantic v2, SQLite with SQLModel, and pytest with ruff. Use this skill when writing Python code for the MCP Task Aggregator. When using FastMCP to create MCP servers or tools. When working with Claude Agent SDK for AI agents. When defining Pydantic models or using pydantic-settings for configuration. When writing SQLModel queries or database operations. When using loguru for logging. When integrating with Jira (jira-python), GitHub (pygithub), or Linear (linear-sdk). When running pytest tests or ruff linting. When configuring GitHub Actions CI/CD.
| name | Global Tech Stack |
| description | Follow the project's Python-based tech stack using uv, FastMCP, Claude Agent SDK, Pydantic v2, SQLite with SQLModel, and pytest with ruff. Use this skill when writing Python code for the MCP Task Aggregator. When using FastMCP to create MCP servers or tools. When working with Claude Agent SDK for AI agents. When defining Pydantic models or using pydantic-settings for configuration. When writing SQLModel queries or database operations. When using loguru for logging. When integrating with Jira (jira-python), GitHub (pygithub), or Linear (linear-sdk). When running pytest tests or ruff linting. When configuring GitHub Actions CI/CD. |
This skill ensures consistency with the MCP Task Aggregator's defined technology stack.
For detailed standards, refer to: Global Tech Stack Standards