claude

python-backend

Production Python backend engineering skills: FastAPI, TDD, migrations, CI/CD, and performance.

32 on GitHubby jggomezApache-2.0updated 2 days ago
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Plugin python-backend from marketplace expert-ai-developer-skills in jggomez/expert-ai-developer-skills. Commands read from the repo's manifest — 2 days ago.

This plugin runs code on your machine — it starts local MCP servers. The exact commands are listed below; read them before installing.

What it installs

Skills (11)

  • build-and-ci-gates

    Implements linters, code formatters, and automated build pipelines (CI/CD) to prevent syntax errors, enforce style consistency, and prevent failing builds from being merged. Use this skill when asked to add linters, configure docker builds, or set up GitHub Actions workflows.

  • context-capture

    Use when finishing a task at State 5 (Ship & Finish) or when the user explicitly asks to "save context", "guarda contexto", "record decisions", or "hand off" — writes ultra-compact persistent memory to context/memory/ and ensures target-project root AGENTS.md (<= 90 lines) stays wired to DESIGN.md a

  • context-restore

    Use at session start (State 0) or when asked to "load context", "catch up", or "what was done before" — prioritizes LLM Wiki Progressive Disclosure (context/memory/MEMORY.md) across Claude Code and Google Antigravity while supporting user-confirmed restore for scripted sessions (context/sessions/).

  • database-migration-expert

    Manages database schema migrations, seed data scripts, and table versioning in Python backends (Alembic, SQL). Use this skill when asked to change DB schemas, write migrations, or write seeding scripts.

  • design-spec-expert

    Drafts concise Backend / API Design Specifications and Software Design Documents (docs/<feature-name>/api-spec.md or SDD <= 70 lines) before coding when introducing new endpoints, schemas, or services.

  • loop-engineering

    Implements 3-Tier Adaptive SDLC state machines, capability-gated discovery, target-project AGENTS.md bootstrapping, isolated parallel worker execution (Disjoint Mode A / Git Worktree Mode B), and 3-loop self-correcting review gates.

  • performance-scalability

    Identifies, diagnoses, and remediates performance bottlenecks, memory leaks, and architectural scaling limitations. Use this skill when asked to optimize slow queries, configure caching mechanisms, design asynchronous worker systems, or perform load profiling.

  • pull-request-expert

    Prepare, audit, and author concise (<= 40 lines), Fail-Honest Pull Requests with Conventional Commits validation, docs/<feature-name>/test-matrix.md links, and transparent BLOCKED/SKIPPED gate disclosure.

  • python-expert

    Guides PEP 8 compliance, modern static type hinting (Python 3.10+ PEP 604, Protocols), generator pipelines, memory optimization (slots, dataclasses), structured concurrency (asyncio TaskGroup), and production error handling in Python applications. Use when writing pure Python modules, utility functi

  • security-audit

    Conducts comprehensive security reviews on source code, infrastructure as code (IaC), and architectural designs. It identifies vulnerabilities such as injection flaws, broken access control, and exposure of sensitive data. Use this skill when asked to perform a security audit, a pentest review, chec

  • test-driven-development

    Guides the implementation of software using Red-Green-Refactor testing cycles, ensuring high coverage, robust mocks, and testable system designs. Use this skill when asked to write new features, add testing suites, or verify coverage.

Subagents (1)

  • python-backend-orchestrator

    Senior Python Backend Orchestrator that plans, designs, and governs the

MCP servers (2)

  • cloudrun

    runs: npx -y @google-cloud/cloud-run-mcp

  • firebase-mcp-server

    runs: npx -y firebase-tools@latest mcp

View source on GitHub

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