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Python Packaging

python-packaging

Create distributable Python packages with proper project structure, setup.py/pyproject.toml, and publishing to PyPI. Use when packaging Python libraries, creating CLI tools, or distributing Python ...

techwavedev/agi-agent-kit0installs4stars

SKILL.md

Full skill instructions

Python Packaging

Comprehensive guide to creating, structuring, and distributing Python packages using modern packaging tools, pyproject.toml, and publishing to PyPI.

Use this skill when

  • Creating Python libraries for distribution
  • Building command-line tools with entry points
  • Publishing packages to PyPI or private repositories
  • Setting up Python project structure
  • Creating installable packages with dependencies
  • Building wheels and source distributions
  • Versioning and releasing Python packages
  • Creating namespace packages
  • Implementing package metadata and classifiers

Do not use this skill when

  • The task is unrelated to python packaging
  • You need a different domain or tool outside this scope

Instructions

  • Clarify goals, constraints, and required inputs.
  • Apply relevant best practices and validate outcomes.
  • Provide actionable steps and verification.
  • If detailed examples are required, open resources/​implementation-playbook.md.

Resources

  • resources/​implementation-playbook.md for detailed patterns and examples.
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AGI Framework Integration

Adapted for @techwavedev/​agi-agent-kit Original source: antigravity-awesome-skills

Memory-First Protocol

Retrieve prior API design decisions, database schema choices, and error handling patterns. Cache API response templates for consistent error formatting.

# Check for prior backend/​API context before starting
python3 execution/​memory_manager.py auto --query "API design patterns and architecture decisions for Python Packaging"

Storing Results

After completing work, store backend/​API decisions for future sessions:

python3 execution/​memory_manager.py store \
  --content "API architecture: REST with HATEOAS, JWT auth, rate limiting at 100 req/​min per tenant" \
  --type decision --project <project> \
  --tags python-packaging backend

Multi-Agent Collaboration

Share API contract changes with frontend agents so they update their client code, and with QA agents for test coverage.

python3 execution/​cross_agent_context.py store \
  --agent "<your-agent>" \
  --action "Implemented API endpoints — 5 new routes with OpenAPI spec and integration tests" \
  --project <project>

Agent Team: Code Review

After implementation, dispatch code_review_team for two-stage review (spec compliance + code quality) before merging.

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