Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
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Python package creation and PyPI distribution via pyproject.toml and entry points. Use when publishing a package or setting up build configuration.
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See how to installReview the instructions the agent will receive before you install.
Modern Python packaging with pyproject.toml, uv, and best practices for distribution.
# Create new project with uv
uv init my-package
cd my-package
# Add dependencies
uv add requests click
# Build package
uv build
# Publish to PyPI
uv publish
Verification: Run the command with --help flag to verify availability.
# Source layout (recommended)
src/my_package/
__init__.py
module.py
# Flat layout (simple)
my_package/
__init__.py
module.py
Verification: Run the command with --help flag to verify availability.
Source layout benefits:
Minimal Project:
**Verification:** Run `pytest -v` to verify tests pass.
my-project/
├── pyproject.toml
├── README.md
├── src/
│ └── my_package/
│ └── __init__.py
└── tests/
└── test_init.py
Verification: Run pytest -v to verify tests pass.
Complete Project:
**Verification:** Run the command with `--help` flag to verify availability.
my-project/
├── pyproject.toml
├── README.md
├── LICENSE
├── .gitignore
├── src/
│ └── my_package/
│ ├── __init__.py
│ ├── cli.py
│ ├── core.py
│ └── utils.py
├── tests/
│ ├── conftest.py
│ └── test_core.py
└── docs/
└── index.md
Verification: Run pytest -v to verify tests pass.
See modules for detailed information:
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Shapes turns action-first: action leads, steps numbered, state restated. Use for ADHD-friendly output. Do not use to trim tokens; use response-compression.
The English summary is being prepared. Showing the original description.
Inverts burden of proof for code additions. Use when reviewing PRs, planning refactors, or running unbloat to challenge every addition's necessity.
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Tracks per-agent token usage and flags waste in parallel dispatch. Use when evaluating parallel agent efficiency or after a multi-agent run.
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Coordinates Claude agent teams via filesystem protocol. Use when orchestrating parallel agents with task dependencies. Do not use for single-agent tasks.
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Evaluates API surface design, consistency, and exemplar alignment. Use when reviewing public API changes or before releasing a new API surface.
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Selects architecture paradigm via research before scaffolding. Use when architecture is undecided and the choice needs justification and documentation.
The English summary is being prepared. Showing the original description.