Python Backend Engineer role skill. Use when you need to implement Python backend features, async REST APIs, data processing pipelines, AI/ML inference services, or web scraping workflows. Keywords: Python, FastAPI, Pydantic, SQLAlchemy, asyncpg, Pandas, Polars, Celery, LangChain, Playwright, Scrapy, data pipeline…
This skill should be used when the user asks to "scaffold a FastAPI project", "set up clean architecture", "refactor to clean architecture", "add a new endpoint", "add a router", "add an operation", "add a repository", "review my code structure", "apply design patterns in Python", "decouple my code", "improve code…
Implement, review, or revise Python realizations of components from accepted textual SysML v2 contracts and generated views. Use when creating or aligning Python protocols, component classes, reference implementations, implementation bindings, or black-box contract tests.
Coding standards and implementation patterns for SignNow MCP Server. Use when writing or modifying Python source code in this project — implementing features, fixing bugs, refactoring. Covers layer-specific coding rules, error handling patterns, typing standards, the bug fix protocol, and verification steps. Do NOT…
Create MicroPython applications for Universe 2025 (Tufty) Badge including display graphics, button handling, and MonaOS app structure. Use when building badge apps, creating interactive displays, or developing MicroPython programs.
Write Estuary derivations in Python — async-generator transforms, Pydantic-typed source/output, optional persistent state, and dependency installation via uv. Use for ML/embeddings, async API calls, or any transform where SQL and TypeScript are awkward. Derivations add complexity and cost (and Python derivations…
FastAPI service setup: app/main.py, API routers, pydantic-settings, lifespan/app.state services, middleware, health checks, pytest/TestClient, Uvicorn, Gunicorn/uvicorn-worker, Docker/Compose. Use for scaffolding or modernizing Python API services; skip for Flask/Django-only, frontend-only, non-Python APIs, or…
Skill "gitcode-api" from Trenza1ore/GitCode-API, covering gitcode api sdk, client shape, quick start, repository-scoped defaults and common resource groups.
IDA Pro Python scripting for reverse engineering. Use when writing IDAPython scripts, analyzing binaries, working with IDA's API for disassembly, decompilation (Hex-Rays), type systems, cross-references, functions, segments, or any IDA database manipulation. Covers ida modules (50+), idautils iterators, and common…
Programmatically interact with Domino using python-domino SDK and REST APIs. Covers authentication, running jobs, managing projects, file operations, model deployment, and automation. Use when automating Domino workflows, integrating with CI/CD, or building custom tooling around Domino.
Expert guidance for building AI agents with the Claude Agent SDK in Python. Use when the user writes Python code with the SDK, imports claudeagentsdk, uses query(), ClaudeSDKClient, ClaudeAgentOptions, AgentDefinition, creates custom @tool functions, sets up hooks, integrates MCP servers, manages sessions, or debugs…
Obfuscate / protect Python source before shipping it, and verify the obfuscated output still runs. Use when the user wants to protect, obfuscate, harden, or "make it hard to read / reverse-engineer" a Python package, CLI, or service before publishing to PyPI, sending a build to a client, or shipping an evaluation copy…
Migrates Honcho Python SDK code from v1.6.0 to v2.0.0. Use when upgrading honcho package, fixing breaking changes after upgrade, or when errors mention AsyncHoncho, observations, Representation class, .core property, or getconfig methods.
Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.
Profile and optimize Python code using cProfile, memory profilers, and performance best practices. Use when debugging slow Python code, optimizing bottlenecks, or improving application performance.
Enforces memory-mapped file I/O for large file processing in Python. Use when reading, searching, or processing files larger than 100MB, or when performing delimiter/boundary searches without loading the entire file into RAM. Rejects pathlib.readbytes(), readtext(), and f.read() on files of unknown or large size.
Professional static type checking for Python with mypy (v1.19.1). Use when working with Python type hints, type annotations, or integrating mypy into codebases for: (1) Adding type annotations to Python code, (2) Configuring mypy (mypy.ini, pyproject.toml, setup.cfg), (3) Resolving mypy errors and type checking…
6 3d agoA146 tokens
originalMIT
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