python-typing

Python Typing

Stand up static type checking in the user's Python package with a strictness strategy the team can defend — one checker, pinned, configured in pyproject.toml, per-module escape hatches tracked as debt, a ratchet toward strict, and (for libraries) a py.typed marker that verifiably survives into the built wheel. Also covers fixing the errors the checker then reports.

When NOT to use

• Ruff lint or format failures — including the ANN annotation-style rules, which are lint, not type checking (the python-lint skill, if installed).
• A failing test suite or pytest setup (python-testing).
• Runtime exceptions — a TypeError raised at runtime is a bug to debug directly, not a checker-configuration task.
• The CI workflow YAML that runs the checker (python-ci) or pre-commit wiring (python-precommit) — this skill hands the working command off to those.
• Packaging metadata, build backends, or wheel building beyond the py.typed marker itself (python-packaging).

Workflow

1. Survey before choosing anything

• Layout: src/ vs flat; the import-package name; library (published, has consumers) vs application.
• Lowest supported Python from requires-python — the checker must target it, not the interpreter you happen to run.
• Framework deps that need checker plugins: grep -E "django|sqlalchemy|pydantic" pyproject.toml. Plugins exist for mypy only; this can decide the whole checker choice.
• Existing config ([tool.mypy], [tool.pyright], mypy.ini, pyrightconfig.json) — extend it, don't silently replace it.
• New project vs legacy codebase (rough annotation coverage) — decides strict-from-day-one vs ratchet in step 4.

2. Pick ONE checker — the race is unsettled

The type-checker field is a live, unsettled race (mypy, pyright/basedpyright, ty, Pyrefly, zuban). Do not present any of them as the obvious winner, and do not quote speed multipliers or conformance percentages — the circulating numbers are single-source and partly refuted. Decision rules that hold up:

Situation	Pick
Django (django-stubs) or Pydantic plugin-dependent stack	mypy + the framework's plugin (SQLAlchemy 2.x is natively typed — its mypy plugin is deprecated and stopped at mypy 1.10)
New project, no plugin needs, VS Code team	pyright (standard, then strict)
Non-VS-Code editors (Neovim, Helix, Cursor) or stricter defaults wanted	basedpyright
uv/Ruff shop that tolerates beta churn	pilot ty locally; keep mypy or pyright as the CI gate
Multi-million-LOC monorepo	evaluate Pyrefly

Commit to one primary checker as the CI gate. Using pyright in the editor (Pylance) with a different CI checker is normal; running two checkers as gates means maintaining parallel suppression comments (gotcha 5). Details and trade-offs: references/checker-selection.md.

3. Install pinned, run via uv

Pin the exact version — checker releases routinely add new diagnostics, so an unpinned checker breaks CI on unrelated PRs. Substitute the current release from PyPI for the pins shown:

uv add --dev "mypy==2.3.1"         # or: "pyright==1.1.413" (PyPI wrapper, bundles node)
uv run mypy src tests               # or: uv run pyright

Without uv (once, for reference): python -m pip install "mypy==2.3.1" then python -m mypy src tests. For a ty pilot without touching deps: uvx --from "ty==0.0.80" ty check src (again, substitute the current pin; ty is still pre-1.0).

4. Configure in pyproject.toml

mypy and pyright read different tables, so both can coexist while migrating. mypy — and note strict = true is what makes mypy check unannotated code at all (gotcha 1):

[tool.mypy]
python_version = "3.10"          # lowest supported, from requires-python
strict = true
warn_unused_ignores = true
# plugins = ["pydantic.mypy"]    # only if pydantic is a dependency

[[tool.mypy.overrides]]
module = ["some_untyped_lib.*"]  # third-party deps that ship no types
ignore_missing_imports = true

pyright / basedpyright (use [tool.basedpyright] for the fork):

[tool.pyright]
include = ["src", "tests"]
exclude = ["**/legacy"]                # added on top of pyright's defaults (node_modules, __pycache__, .*)
typeCheckingMode = "standard"          # "strict" for new projects
pythonVersion = "3.10"

ty reads [tool.ty] in pyproject.toml (or ty.toml); config surface is small and beta — check uv run ty --help rather than trusting stale examples.

5. Set strictness — day one or ratchet, never big-bang retrofit

• New project: strict = true / typeCheckingMode = "strict" from the first commit. Retrofitting strictness later is what generates contributor friction and hundred-error floods.
• Legacy codebase: ratchet. Global strict with per-module exemptions that only ever shrink:

[tool.mypy]
strict = true

[[tool.mypy.overrides]]
module = ["myapp.legacy.*"]      # exempt, migrate module-by-module
ignore_errors = true

pyright's equivalent is a strict = ["src/myapp/core"] array of strict islands over a standard base. Full staged rollout, both checkers: references/strictness-ratchet.md.

• Record the strategy where the team will see it (CONTRIBUTING or README): the chosen checker, the run command, and the rule that exemptions only shrink.

6. Ship py.typed and verify the wheel (libraries)

Without a py.typed marker, PEP 561 says checkers treat every import from your library as Any — annotations exist in source but are invisible to consumers, silently.

touch src/<pkg>/py.typed

Build backends differ on whether non-.py files get packaged (setuptools needs [tool.setuptools.package-data]; hatchling usually includes it), so never trust the source tree — verify the artifact:

uv build
python3 "${CLAUDE_SKILL_DIR}/scripts/check_py_typed.py" --package <pkg>

The script exits non-zero if py.typed is missing from the source package, the newest wheel, or the newest sdist. Backend-by-backend config and stub distribution options: references/py-typed-distribution.md.

7. Fix the reported errors

Triage in this order:

1. Real bugs first — Optional misuse, wrong return types, unreachable branches. These are the payoff; don't suppress them.
2. Untyped third-party imports — install the types-* stub package if one exists and pin it (stubs version independently of their library). Only fall back to a per-module ignore_missing_imports override — never the global flag.
3. Genuine false positives — suppress with an error-code-scoped comment, # type: ignore[arg-type] (mypy) or # pyright: ignore[reportArgumentType], and keep warn_unused_ignores (mypy) / reportUnnecessaryTypeIgnoreComment (pyright) on so stale ignores fail the build.
4. Never fix an error by weakening global config.

8. Hand off

The type-check command is now the contract: the python-ci skill (if installed) turns it into a CI job; python-precommit wires it into hooks. Not this skill's job — stop at a locally passing command.

Output spec

Done means all of these hold:

• Exactly one primary checker, pinned in dev dependencies, configured in pyproject.toml.
• uv run <checker> ... exits 0 over src (and tests, unless deliberately excluded with a written reason).
• Strictness decision recorded: strict, or the current ratchet stage plus the exemption list tracked as debt.
• For a library: py.typed present in the package and scripts/check_py_typed.py passes against a freshly built wheel.
• Every suppression comment is error-code-scoped; unused-ignore detection is enabled.
• The run command is documented where the team will find it.

Failure modes & gotchas

1. mypy green ≠ checked. By default mypy skips unannotated function bodies; a "no errors" run can be ignoring most of the codebase. Set check_untyped_defs = true (or strict) before trusting any green run.
2. Global strict + per-module downgrades don't compose. Long-standing issues in both tools (mypy #11401, pyright #601): you cannot cleanly downgrade individual strict rules per module. What works: global strict with per-module ignore_errors (mypy) or a strict directory array over a standard base (pyright).
3. pyright floods legacy code harder than mypy. It was already checking unannotated code, so jumping straight to strict surfaces far more errors at once — start at standard on existing codebases.
4. py.typed missing from the wheel is the classic invisible failure: the marker sits in git, the backend drops it from the artifact, and every downstream user silently gets Any. Always verify the built wheel, not the source tree (step 6).
5. Two checkers, double suppressions. The engines disagree (kwargs typing, __new__ inference, union widening), so the same line can need both # type: ignore[...] and # pyright: ignore[...]. Accept that cost knowingly or stay with one gate.
6. Strict is not portable. mypy strict, pyright strict, basedpyright's "recommended" preset, and ty/Pyrefly rules are all different contracts — zero errors on one implies nothing about the others.
7. Pydantic friction. Checkers can't see through before/wrap validators, so constructors called with pre-validation input types raise false positives. Options with trade-offs: mypy + pydantic.mypy plugin, rule-scoped ignores on model modules, or (bleeding-edge) Pyrefly's experimental Pydantic integration. Separately — a statically clean model is not runtime-safe: Pydantic coerces by default ("30" becomes 30) unless its own strict mode is enabled.
8. ty/Pyrefly maturity. No plugin system (Django/SQLAlchemy/Pydantic plugin stacks can't migrate), beta-grade churn, and migrating off pyright can lose diagnostics it used to catch. ty's "gradual guarantee" (removing or loosening an annotation never introduces new errors — adding precision may surface real ones) makes it a pleasant incremental pilot — as an editor/local tool, not yet an OSS package's CI gate.
9. pyright exclude is additive. Custom entries are added on top of the defaults (**/node_modules, **/__pycache__, **/.*), and the defaults take precedence — so you cannot un-exclude a dot-directory by listing it in include; move the code instead.
10. Ruff is not a type checker. Its ANN rules police annotation style; they catch zero type errors. A passing lint run says nothing here.
11. Checker upgrades flip defaults. mypy 2.0 (2026-05) turned --local-partial-types and --strict-bytes on by default, changed --allow-redefinition semantics, dropped --python-version 3.9, and added experimental parallel checking (--num-workers N) — a routine bump can newly break CI, which is why step 3 pins exact versions and upgrades deliberately.

Bundled resources

• references/checker-selection.md — the contender field, comparison table, decision guide, hybrid editor/CI pattern.
• references/strictness-ratchet.md — staged strict-mode rollout with full configs for mypy and pyright.
• references/py-typed-distribution.md — PEP 561 distribution options, per-backend packaging config, verification.
• scripts/check_py_typed.py — verifies py.typed in the source package and inside built wheel/sdist artifacts; read-only, non-zero exit on failure.