By jiatastic
Accelerate Python backend development with production-ready patterns for FastAPI, SQLAlchemy, Redis, and Pydantic, plus code quality (Ruff, ty), observability, error handling, git commit generation, and Excalidraw diagramming.
Analyze git changes and generate conventional commit messages. Supports batch commits for multiple unrelated changes. Use when: (1) Creating git commits, (2) Reviewing staged changes, (3) Splitting large changesets into logical commits.
Python error handling patterns for FastAPI, Pydantic, and asyncio. Follows "Let it crash" philosophy - raise exceptions, catch at boundaries. Covers HTTPException, global exception handlers, validation errors, background task failures. Use when: (1) Designing API error responses, (2) Handling RequestValidationError, (3) Managing async exceptions, (4) Preventing stack trace leakage, (5) Designing custom exception hierarchies.
Create professional Excalidraw diagrams by generating JSON directly. This skill provides the Excalidraw JSON schema reference and professional icon libraries for AI agents to autonomously create diagrams without templates.
Python backend development expertise for FastAPI, security patterns, database operations, Upstash integrations, and code quality. Use when: (1) Building REST APIs with FastAPI, (2) Implementing JWT/OAuth2 authentication, (3) Setting up SQLAlchemy/async databases, (4) Integrating Redis/Upstash caching, (5) Refactoring AI-generated Python code (deslopification), (6) Designing API patterns, or (7) Optimizing backend performance.
Structured observability with Pydantic Logfire and OpenTelemetry. Use when: (1) Adding traces/logs to Python APIs, (2) Instrumenting FastAPI, HTTPX, SQLAlchemy, or LLMs, (3) Setting up service metadata, (4) Configuring sampling or scrubbing sensitive data, (5) Testing observability code.
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A collection of AI-ready skill bundles for Python development.
| Skill | Description |
|---|---|
python-backend | FastAPI + SQLAlchemy + Redis + security patterns |
commit-message | Analyze git changes, generate Conventional Commits |
excalidraw-ai | Generate Excalidraw diagrams from text |
ty-skills | Complete guide for Astral's ty type checker |
unit-testing | Practical pytest patterns, fixtures, and mocks |
docker-builder | Production Dockerfiles and compose patterns |
web-scraping | Requests/BeautifulSoup/Playwright scraping patterns |
api-testing | OpenAPI-driven testing with schemathesis |
linting | Ruff linting rules and workflows |
formatting | Black/Ruff-format conventions |
observability | OpenTelemetry + Logfire for APIs |
error-handling | API error schemas and handling patterns |
marimo-notebook | Reproducible marimo notebooks |
pydantic | Pydantic models and validation |
Each skill lives in open_python_skills/<skill>/ with:
SKILL.md - Main skill description and usagereferences/ - Markdown reference docsdata/ - JSON data files (if applicable)scripts/ - Helper scripts (if applicable)assets/ - Excalidraw libraries or other assets (if applicable)MIT
npx claudepluginhub jiatastic/open-python-skills --plugin open-python-skillsComprehensive skill pack with 66 specialized skills for full-stack developers: 12 language experts (Python, TypeScript, Go, Rust, C++, Swift, Kotlin, C#, PHP, Java, SQL, JavaScript), 10 backend frameworks, 6 frontend/mobile, plus infrastructure, DevOps, security, and testing. Features progressive disclosure architecture for 50% faster loading.
Intelligent draw.io diagramming plugin with AI-powered diagram generation, multi-platform embedding (GitHub, Confluence, Azure DevOps, Notion, Teams, Harness), conditional formatting, live data binding, and MCP server integration for programmatic diagram creation and management.
Design fluency for frontend development. 1 skill with 23 commands (/impeccable polish, /impeccable audit, /impeccable critique, etc.) and curated anti-pattern detection.
Harness-native ECC plugin for engineering teams - 67 agents, 279 skills, 94 legacy command shims, reusable hooks, rules, MCP conventions, and operator workflows for Claude Code plus adjacent agent harnesses
Lazy senior dev mode. Forces the simplest, shortest solution that actually works: YAGNI, stdlib first, no unrequested abstractions.
UI/UX design intelligence. Searchable local database with 84 styles, 192 palettes, 74 font pairings, 25 charts, and 22 stacks (React, Next.js, Vue, Nuxt.js, Nuxt UI, Svelte, Astro, SwiftUI, React Native, Flutter, Tailwind, shadcn/ui, Jetpack Compose, Angular, Laravel, JavaFX, WPF, WinUI, Avalonia, Uno Platform, UWP, Three.js). Use when designing, building, or reviewing UI: pages, components, color schemes, typography, layout, accessibility, animation, or data visualization.