Finishing a branch often requires checks, review, PR notes, and cleanup. This skill provides a repeatable workflow for safe branch completion.

Complex feature requests can drift without a clear plan. This skill guides Claude, Codex, and Claude Code through design, task planning, and implementation steps.

Chrome extensions need several correctly sized PNG icons and manifest entries. This skill searches Iconify, converts SVG assets, and updates manifest.json with the required icon paths.

Running ASGI applications requires correct server, reload, worker, logging, TLS, and container settings. This skill provides practical Uvicorn patterns for development and deployment.

Python logging configurations can become inconsistent across development, production, and tests. This skill provides practical structlog patterns for context, processors, output formats, exceptions, and testing.

Database work in async Python can create session bugs, slow queries, and inconsistent model patterns. This skill gives Claude, Codex, and Claude Code concise SQLAlchemy 2.0 patterns for typed models, async sessions, relationships, and migrations.

Live API calls make tests slow and unreliable. This skill guides pytest-recording setup, cassette management, secret filtering, and replay debugging.

Mocking errors can make Python tests brittle or misleading. This guide provides practical pytest-mock patterns for focused patches, spies, stubs, and assertions.

Python teams need reliable tests that stay clear and easy to extend. This skill guides Claude, Codex, and Claude Code through pytest fixtures, parametrization, async tests, mocking, and test organization.

Unvalidated Python data can cause runtime failures and inconsistent API behavior. This skill guides Pydantic v2 model design, validation, configuration, and serialization.

Python HTTP integrations require careful handling of async execution, authentication, streaming, and failures. This skill provides focused HTTPX patterns for reliable client code.

FastAPI projects need consistent patterns for validation, dependencies, errors, and tests. This skill gives concise examples for building async Python APIs with FastAPI, Pydantic, and TestClient.

Docker projects often need consistent builds, service orchestration, debugging, and production safeguards. This skill guides Claude, Codex, and Claude Code through practical container workflows.

Python documentation often becomes incomplete or inconsistent when maintained manually. This skill converts source structure, docstrings, and type hints into organized Markdown.

Background jobs become unreliable when schedules, persistence, and concurrency are configured without clear patterns. This skill provides practical APScheduler guidance for reliable Python scheduling.

Database schema changes are risky when teams lack repeatable migration patterns. This skill gives Claude, Codex, and Claude Code practical Alembic guidance for SQLAlchemy projects.

DDD violations in changed Java files can be missed before commits. This skill reviews Git differences by layer and reports focused fixes.

Large Java projects can accumulate hidden domain-driven design violations across many layers. This skill provides a structured full-project review and a prioritized compliance report.

Java architecture can drift across layers, dependencies, and domain models. This skill reviews recent changes or entire projects against practical DDD rules.

Scattered endpoint definitions create duplicated URLs, inconsistent authentication, and weak type contracts. This skill applies a five-file TypeScript pattern with centralized endpoints and Supabase-aware clients.