GitHub
dqx-code-standards
Quick reference for DQX Python code standards
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分类目录: 数据与 AI
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GitHub
sun-lab-style
Apply Sun Lab Python coding conventions when writing, reviewing, or refactoring code. Covers docstrings, type annotations, naming conventions, error handling, Numba functions, and formatting standards.
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GitHub
type-safety
Automatically applies when writing Python code to enforce comprehensive type hints. Ensures mypy compatibility, proper generic types, and type safety best practices.
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GitHub
reviewing-python-architecture
Review ADRs to check they follow testing principles. Use when reviewing ADRs or architecture decisions.
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GitHub
hathor-blueprint
Create Hathor blockchain blueprints (nano contracts) - Python 3.11 smart contracts. Use when building, debugging, or modifying Hathor nano contracts, or when user mentions blueprints, nano contracts, or Hathor...
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GitHub
lunar-policy
Create Lunar policy plugins that enforce engineering standards. Use when building policies (Python scripts) that evaluate Component JSON data and produce pass/fail checks. Covers the lunar_policy SDK (Check cla...
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GitHub
architecting-python
Write ADRs for Python architecture decisions. Use when making architecture decisions or writing ADRs.
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GitHub
temporal-python-pro
Master Temporal workflow orchestration using the Python SDK. Use PROACTIVELY for workflow design, microservice orchestration, long-running processes, saga pattern implementation, distributed transactions, or an...
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GitHub
pytest
Pytest testing patterns for Python. Trigger: When writing Python tests - fixtures, mocking, markers.
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GitHub
mcp-builder
Build MCP servers for LLM-external service integration. Use for FastMCP (Python), MCP SDK (Node/TypeScript), tool design, API integration, resource providers.
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GitHub
google-adk-python
Build AI agents with Google ADK Python (Agent Development Kit). Use for multi-agent systems, workflow agents (sequential/parallel/loop), Vertex AI deployment, tool integration, human-in-the-loop.
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GitHub
python-testing-patterns
Implement comprehensive testing strategies with pytest, fixtures, mocking, and test-driven development. Use when writing Python tests, setting up test suites, or implementing testing best practices.
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GitHub
multicloud-expert
Multicloud architecture, engineering, and development across AWS, Azure, GCP, OCI, and Alicloud. Use for cloud architecture design, SDK/API debugging (Go, Python, etc.), IaC development (Terraform, Pulumi, Clou...
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GitHub
backend-specialist
Expert AI agent for FastAPI, Python, Neo4j, and modern backend architectures.
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GitHub
automl-analyst
Automatically analyzes datasets to perform classification, regression, or clustering. Generates Python training scripts and HTML reports.
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GitHub
python-unit-testing
Write Python unit tests using pytest. Tests should be non-trivial, complete in under 30 seconds, and run with just "pytest". Covers conftest.py fixtures, test organization, parametrization, mocking, and tempora...
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GitHub
prowler-test-sdk
Testing patterns for Prowler SDK (Python). Trigger: When writing tests for the Prowler SDK (checks/services/providers), including provider-specific mocking rules (moto for AWS only).
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GitHub
idlergear
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where di...
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GitHub
idlergear
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where di...
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GitHub
idlergear
Knowledge management for AI-assisted development. Use this skill when: - Starting a new session or resuming work - User asks about tasks, bugs, notes, or project status - User mentions: "what's next", "where di...
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GitHub
profiling-nodejs-python
Comprehensive guide to CPU and memory profiling in Node.js and Python for identifying bottlenecks and optimizing performance
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GitHub
railway-deploy
This skill should be used when the user asks to "deploy to Railway", "deploy backend", "deploy Python app", "deploy Node.js server", "railway deployment", or mentions Railway hosting workflows.
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GitHub
csv-data-summarizer
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
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GitHub
using-tmux-for-interactive-commands
Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached se...
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