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dev

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Use this skill when working in the CPython repository for any development task - fixing bugs, adding features, understanding code, or making contributions. Provides codebase orientation and coordinates loading of specialized skills (build, style, docs, jit) as your workflow progresses.

Productivity

What this skill does


# CPython Development

You are working in the CPython repository - the implementation of the Python language runtime and standard library itself.

## CRITICAL: Never Use System Python

**NEVER run `python`, `python3`, or any Python from `$PATH`.** Always use the locally-built interpreter from the build directory:

- Linux: `build/python`
- macOS: `build/python.exe`

This applies to ALL Python execution — running tests, testing snippets, verifying behavior, importing modules, or any other use. The system Python is a different build and won't reflect your changes. If the build directory doesn't exist yet, **load the `build` skill and compile first** before running any Python code.

## Load Specialized Skills As Needed

This skill provides orientation. **Load additional skills when your task requires them:**

- **Load `build` skill when**: compiling CPython, running tests, verifying changes work, debugging test failures, or checking if your fix is correct
- **Load `style` skill when**: preparing commits, running pre-commit hooks, checking code style, or validating changes before pushing
- **Load `docs` skill when**: editing files in `Doc/`, adding version markers, creating NEWS entries, or updating documentation
- **Load `jit` skill when**: working on the JIT compiler, modifying `Tools/jit/` or `Python/jit.c`, debugging JIT-specific failures, or changing bytecodes that affect stencil generation

## Recommended Tools

Prefer these tools when available: `rg`, `gh`, `jq`

## Source Code Structure

**`Lib/`** - Python standard library (pure Python). Example: `Lib/zipfile.py`

**`Modules/`** - C extension modules for performance/low-level access. Example: `Modules/_csv.c`

**`Objects/` and `Python/`** - Core types (list, dict, int), builtins, runtime, interpreter loop

**`Include/`** - C header files for public and internal C APIs

**`Lib/test/`** - All unittests
- Test naming: `test_{module_name}.py` or `test_{module_name}/`
- Examples: `Lib/zipfile.py` → `Lib/test/test_zipfile**`, `Modules/_csv.c` → `Lib/test/test_csv.py`
- Test packages require `load_tests()` in `test_package/__init__.py` to work with `python -m test`

**`Doc/`** - Documentation in .rst format (source for python.org docs), builds to `Doc/build/`

**`InternalDocs/`** - Maintainer documentation (`InternalDocs/README.md` is the starting point)

**`Tools/`** - Build tools like Argument Clinic, development utilities

## Argument Clinic

**`**/clinic/**` subdirectories are auto-generated** - never edit these directly. Load the `build` skill for regeneration commands.

## Engineering Notebooks

ALWAYS load and maintain notebooks when working on features or PRs:
- **For PRs**: `.claude/pr-{PR_NUMBER}.md`
- **For branches**: `.claude/branch-{branch_name_without_slashes}.md` (when not on `main`)

Keep notebooks updated with learnings and project state as you work and after commits. Include: problem statement, key findings, file locations, design decisions, testing strategy, and status.

## Scratch Space

**NEVER create throwaway files in repo root.** Use `.claude/sandbox/` for exploration files, test scripts, and prototypes.

## Optional Developer Resources

- **Developer Guide**: If `REPO_ROOT/../devguide/` exists, see `developer-workflow/` and `documentation/` subdirectories
- **PEPs**: May exist in `REPO_ROOT/../peps/` tree - reference relevant PEPs when working on changes

## Typical Workflow

1. **Understand the task** - explore code, read relevant files
2. **Make changes** - edit source files
3. **Build and test** - load `build` skill, compile, run tests
4. **Validate style** - load `style` skill, run pre-commit and patchcheck
5. **Update docs** - if needed, load `docs` skill for documentation changes

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