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Practical guide and templates for fast, reliable Python CI/CD: uv-based installs, matrix testing, dependency caching, parallel jobs, reusable workflows, and PyP
Provides a comprehensive cookbook for optimizing Python GitHub Actions workflows. It documents uv-based fast installs, dependency caching, matrix strategies across Python versions and OSes, parallelization patterns, reusable workflows and composite actions, and publishing pipelines to PyPI.
Activate this skill when setting up or improving CI/CD for Python projects: to speed up builds with uv, add robust matrix testing, implement reliable caching, split tests by job type, or standardise publishing and coverage reporting. Useful for maintainers who want repeatable, fast pipelines.
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A comprehensive Python GitHub Actions optimization guide covering uv-based CI workflows, matrix testing, dependency caching, parallel jobs, reusable workflows, and PyPI publishing. Purely instructional with YAML templates — no bundled scripts. Well-organized with quick reference tables and progressive examples from simple to complex CI/CD pipelines.
No security concerns — skill is purely instructional YAML templates and documentation. No scripts, no network calls, no credentials. Clean frontmatter with specific trigger conditions. Could benefit from splitting into references/ for the many YAML examples to reduce SKILL.md length.
Development Worktree
Create an isolated git worktree for feature work, auto-run project setup, and verify a clean test baseline before development.
Full Stack Builder
End-to-end builder that scaffolds, implements, tests, and optionally deploys web and API applications from a natural-language specification.
Supabase SDK Patterns (TypeScript & Python)
Production-ready patterns for using Supabase clients in TypeScript and Python: client initialization, typed queries, auth, realtime, storage, RPC, and error-han
Juicebox Performance Tuning
Guidance and code patterns to reduce Juicebox AI analysis latency: caching, batching, upload chunking, and pagination to improve throughput and responsiveness.
Python Tooling (uv + Ruff)
Tools and patterns for managing Python environments, installing packages, and linting/formatting code using uv and Ruff for fast, reproducible workflows.
SWE-AF — Autonomous Software Engineering Fleet
Orchestrates a coordinated multi-agent engineering workflow to plan, implement, test, and merge production-grade changes across single or multiple repositories.
Claude Code (Clawdbot)
Wrapper to run the local Claude Code CLI in headless or interactive (tmux) modes for code analysis, refactors, tests, and structured output.
BK-CI Design Patterns Guide
Practical guide to design patterns used in the BK-CI project (Kotlin/Spring). Covers factory, strategy, singleton, decorator, observer, template method, chain-o