ccxt-ts-transpilation
Editing CCXT TypeScript exchange sources with transpilation-safe patterns for Python/Go/PHP/C#
Skills matching the name, description or GitHub author.
Editing CCXT TypeScript exchange sources with transpilation-safe patterns for Python/Go/PHP/C#
Best-practice workflow and guardrails for Python backend work (APIs/services, data access, background jobs, CLIs). Use when Codex is writing or refactoring Python application code, setting up Python tooling, im...
Expert guidance for Python programming covering modern best practices, standard library usage, popular frameworks (Flask, Django, FastAPI), data science libraries (pandas, numpy), async programming, testing, ty...
CLI scripts/programs (python, js, bash, go, etc.) following modern best practices. Use when: (1) Creating new CLI tools, (2) Reviewing CLI UX/DX, (3) Implementing help/errors/output, (4) Adding flags/args/subco...
Develop in Python with uv (PEP 723, venv, run); load as soon as the user mentions uv.
Interactive Docker learning guide from basics to production, tailored for Python/FastAPI developers. This skill should be used when users want to learn Docker concepts, understand container fundamentals, practi...
Design and implement production-grade database layers using SQLModel with SQLAlchemy 2.0 patterns. This skill should be used when users need to create database models, configure engines/sessions, design schemas...
Production-grade Docker containerization for FastAPI, Pytest, SQLModel, and Pydantic projects. This skill should be used when users ask to dockerize FastAPI applications, create multi-stage Docker builds, optim...
FastAPI development assistant for building modern Python web APIs. Provides guidance on routing, request/response handling, dependency injection, authentication, middleware, WebSockets, testing, and Pydantic mo...
Comprehensive pytest testing skill for Python projects. Write efficient, maintainable tests with fixtures, parametrization, markers, mocking, and assertions. Use when: (1) Writing new tests for Python code, (2)...
Code quality validation through linting, type checking, and build verification. Multi-language support for automated quality gates. Use when validating code quality: - After implementation to validate code mee...
Code quality validation through linting, type checking, and build verification. Multi-language support for automated quality gates. Use when validating code quality: - After implementation to validate code mee...
Code quality validation through linting, type checking, and build verification. Multi-language support for automated quality gates. Use when validating code quality: - After implementation to validate code mee...
Fix lint errors, format code, run type checking, check code quality. Use when fixing linting issues, formatting Python, running ruff, running ty, checking TypeScript types, or ensuring code quality.
Pythonファイルの挙動を理解するために、挙動を変えずに解説コメントとdocstringを追加する。ユーザーが「XXX.pyについて、動作を理解したいから細かくコメント入れて」「挙動は変えずにコメントを足して」「このPythonファイ...
Grafix の `draw(t)` スケッチを生成・改良し、`python -m grafix export` で PNG を複数枚 headless 出力して比較するための手順。ユーザーが「Grafix の draw を作って」「PNG を書き出して」「候補を複数出して比較したい」...
Parsing binary files with mixed endianness and variable-length records in Python.
World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data mode...
Comprehensive software architecture skill for designing scalable, maintainable systems using ReactJS, NextJS, NodeJS, Express, React Native, Swift, Kotlin, Flutter, Postgres, GraphQL, Go, Python. Includes archi...
Comprehensive backend development skill for building scalable backend systems using NodeJS, Express, Go, Python, Postgres, GraphQL, REST APIs. Includes API scaffolding, database optimization, security implement...
Guide implementation of production-ready Python RAG components by enforcing correct abstractions, error handling, observability, and safety at coding time.
Review an existing Python RAG codebase against an explicit RAG architecture document and produce a production-readiness backlog with priorities, rationale, and execution guidance.
Python security patterns and OWASP vulnerability detection
Python type hints, mypy, Protocol, and static typing best practices
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