engineering-nba-data
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineer...
Skills correspondant au nom, à la description ou à l’auteur GitHub.
Extracts, transforms, and analyzes NBA statistics using the nba_api Python library. Use when working with NBA player stats, team data, game logs, shot charts, league statistics, or any NBA-related data engineer...
Auto-generated CLI patterns using Google Fire with class-based structure, docstring parsing, and nested classes. Use when building Python CLI applications, creating Fire CLIs, implementing auto-generated comman...
Standard library Python argparse examples with subparsers, choices, actions, and nested command patterns. Use when building Python CLIs without external dependencies, implementing argument parsing, creating sub...
CLI testing strategies and patterns for Node.js (Jest) and Python (pytest, Click.testing.CliRunner). Use when writing tests for CLI tools, testing command execution, validating exit codes, testing output, imple...
Click framework examples and templates - decorators, nested commands, parameter validation. Use when building Python CLI with Click, implementing command groups, adding CLI options/arguments, validating CLI par...
Run Bandit security analysis to find common security issues and vulnerabilities in Python code. Use when the user mentions Bandit, security analysis, vulnerability scanning, security audit, software composition...
Architecture patterns for rRNA-Phylo project including FastAPI backend design, service organization, async task processing with Celery, Pydantic schemas, testing with pytest, Biopython integration, and API desi...
Comprehensive guide to phylogenetic tree visualization including matplotlib (Python), ggtree (R), and publication-quality figure generation. Covers rectangular, circular, radial layouts, bootstrap annotations,...
Write clean, consistent code following established naming conventions, formatting rules, and the DRY principle across all files. Use this skill when writing any code in any file, naming variables and functions,...
This skill should be used when conducting comprehensive code reviews and codebase audits. Invoke when the user requests to review code quality, security vulnerabilities, performance issues, or best practices ac...
A skill for creating comprehensive Python unit tests using pytest. It provides guidance and templates for test structure, fixtures, mocking, parameterization, and coverage. Use this when you need to write unit...
Provides patterns and examples for generating test data using factory libraries. Use this skill when you need to create realistic and maintainable test data for your application. It covers factory patterns (e.g...
Comprehensive skill for deploying applications to Vercel. Covers all deployment types: single projects, monorepos, static sites, Next.js, React, Python/FastAPI backends, serverless functions, and edge functions...
Sets up a CI/CD pipeline for Python projects using GitHub Actions. Includes templates for PR checks, deployment via SSH, pre-commit hooks, and email notifications. Use this skill when a user wants to create a n...
Authentication system design and implementation guidance with Python examples using strict typing. Use when: (1) Designing authentication flows (signup, login, logout, refresh), (2) Selecting between session vs...
A skill for implementing robust API request validation in Python web frameworks like FastAPI using Pydantic. Covers Pydantic models, custom validators (email, password), field-level and cross-field validation,...
Guides on analyzing and improving test coverage for Python (pytest-cov) and JavaScript (c8) projects. Use when a user asks to set up test coverage, generate coverage reports, understand why coverage is low, or...
Provides patterns and guidance for implementing user-scoped data filtering and multi-tenancy in web applications. Use this skill when you need to: (1) Restrict data access based on user identity, (2) Implement...
Analyze datasets using Python with pandas, numpy, and visualization libraries. Generates statistical summaries, identifies patterns, creates charts, and provides insights. Use when analyzing CSV/Excel files, ex...
Use when Codex needs to inspect or modify files via the local Python filesystem MCP server running at `servers/filesystem`.
Default Python stack for Lambda: uv + Astral tools, typed code, schemas, and Hypothesis.
Safe Python code execution using pyx CLI. Use when: running Python, executing scripts, testing code. Triggers: pyx, run python, execute code, test script. Default mode: MANIFEST_IO (file-first with manifest out...
Compile visual workflow canvas to Google ADK Python code. Use when generating executable agent code from WorkflowCanvas data structures. Supports all ADK workflow patterns.
Validate AgentConfig definitions for the Agent Framework. Use when creating or modifying agent configurations to ensure correct structure, valid tool references, and proper sub-agent composition. Validates Type...
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.