@nathan-gage/python-best-practices
Python software engineering guidelines from real PR review patterns. This skill should be used when writing, reviewing, or refactoring Python code — especially dataclasses, service interfaces, error handling, and type annotations. Triggers on tasks involving Python modules, API design, data modeling, type safety, exception handling, or refactoring for maintainability.
| name | python-best-practices |
| description | Python software engineering guidelines from real PR review patterns. This skill should be used when writing, reviewing, or refactoring Python code — especially dataclasses, service interfaces, error handling, and type annotations. Triggers on tasks involving Python modules, API design, data modeling, type safety, exception handling, or refactoring for maintainability. For asyncio and concurrency guidance, see the python-async-best-practices skill. |
| license | MIT |
Python Best Practices
Guidelines for writing and reviewing Python. 75 rules across 8 categories, prioritized by impact.
A rule match is a signal, not a verdict. Most rules are design preferences for new code, not bugs to fix across the repo — check the rule's impact level before flagging in review or refactoring stable code.
Quick-reference lines are triggers, not licenses: before applying a rule as a review finding or a transformation, open the rule file and check its counter-signal — the marker-opened paragraph (**When ...** / **Scope:** / **Preserve ...**) saying when NOT to apply it.
When to Apply
- Writing new Python modules, functions, classes, or data models
- Reviewing code for correctness or type safety
- Refactoring patterns in code that's being edited anyway
Avoid applying these rules as a blanket sweep across stable code — the churn rarely pays off.
Impact Levels
CRITICAL— prevents a real bug class (data corruption, swallowed cancellations, insecure defaults). Fix when found.HIGH— meaningful correctness or maintainability win. Worth fixing in most contexts.MEDIUM— good practice; clarity or drift prevention. Apply to new code; don't churn stable code.LOW-MEDIUM/LOW— style or micro-optimizations. Apply opportunistically.
Python Version Baseline
Rules assume Python 3.11+. Rules depending on higher versions call it out inline:
warnings.deprecated()— 3.13+zoneinfo— 3.9+- Union types in
isinstance()— 3.10+ assert_never— 3.11+ (backport viatyping_extensions)- PEP 695
typestatement and generic syntax — 3.12+ (noted inline intypes-modern-syntax)
Rules tagged applicability:pydantic are Pydantic-specific.
Rule Categories by Priority
| Priority | Category | Impact | Prefix |
|---|---|---|---|
| 1 | Data Modeling | HIGH | data- |
| 2 | Error Handling | MEDIUM-HIGH | error- |
| 3 | Type Safety | MEDIUM-HIGH | types- |
| 4 | API Design | MEDIUM | api- |
| 5 | Code Simplification | LOW-MEDIUM | simplify- |
| 6 | Performance | LOW-MEDIUM | perf- |
| 7 | Naming | LOW-MEDIUM | naming- |
| 8 | Imports & Structure | LOW | imports- |
Section impact is a typical-case label; individual rules range one level above or below — check the rule file.
Quick Reference
Data Modeling (data-)
data-mutable-defaults— Neverdef f(items=[]); useNone+ body construction ordefault_factorydata-derive-dont-store— Compute booleans from state; don't cache flags that mirror each otherdata-mutation-contract— One unambiguous contract per function: mutate (new-info returns fine) or return new — never the mutated object as if freshdata-aware-datetimes— Timezone-awaredatetime.now(timezone.utc);utcnow()is deprecateddata-discriminated-unions— Tag variants instead of optional-field bagsdata-explicit-variants— Concrete classes per mode beatis_thread/is_editflagsdata-phased-composition— Group co-present optionals into one nested optionaldata-encapsulate-mutable-state— Trap mutable state in the narrowest clear scopedata-sentinel-when-none-is-valid— Private sentinel whenNoneis a meaningful valuedata-newtype-for-ids—NewType('UserId', str)so IDs aren't interchangeabledata-delete-dead-variants— Remove union arms that aren't constructeddata-reject-bool-as-int—boolsubclassesint; reject it explicitly before numeric checks
Error Handling (error-)
error-specific-exceptions— Catch specific types; never bareexcept:orexcept BaseException:(breaks Ctrl-C and async cancellation);except Exception:is cancellation-safe on 3.8+error-context-managers—with/async withfor files, locks, sessionserror-assert-debug-only—assertvanishes under-O; not for runtime contractserror-validate-at-boundaries— Fail fast at system edges before expensive workerror-trust-validated-state— Trust immutable, locally-constructed stateerror-consolidate-try-except— Merge blocks with the same catch and handlingerror-assert-never-exhaustiveness—typing.assert_neverfor exhaustivenesserror-raise-from-for-chains—raise NewErr(...) from originalto preserve causalityerror-inherit-base-exceptions— New exceptions inherit existing bases for compatibilityerror-log-exception-context—logger.exception(...)insideexcept; keep the traceback in the logerror-repr-in-messages—f"tool {name!r}"for identifiers in error texterror-match-types-not-messages— Classify by exception type and status code, never message substrings
Type Safety (types-)
types-fix-errors-not-ignore— Fix type errors;# type: ignoreis a last resorttypes-avoid-any— Protocols, TypeVars, unions overAnytypes-typeddict-over-dict-any—TypedDict/ dataclass when structure is knowntypes-literal-for-fixed-sets—Literal["a", "b"]for fixed stringstypes-fix-types-not-cast— Fix the definition;cast()only when runtime genuinely narrowstypes-isinstance-for-narrowing—isinstance()overhasattr/type(x).__name__types-narrow-to-runtime-reality— Annotations match what control flow actually allowstypes-trust-the-checker— Drop runtime checks the types already enforcetypes-remove-redundant-optional— Drop| Nonewhen values are guaranteed presenttypes-type-checking-imports—if TYPE_CHECKING:for optional or heavy importstypes-modern-syntax—X | None,list[str]; notOptional/Union/typing.Listtypes-sequence-over-list-params—Sequence/Mappingfor read-only params;listis invariant
API Design (api-)
api-required-before-optional— Required fields before optional (Python enforces this)api-keyword-only-params—*marker for optional/config paramsapi-no-boolean-flag-params—Literal/EnumoverTrue, Falsesoupapi-immutable-transforms— Return new collections; don't mutate inputsapi-model-cohesion— Flat models; no duplicate or single-key-wrapped fieldsapi-underscore-for-private—_prefixfor internals; exclude from__all__api-deprecated-aliases—warnings.deprecated()(3.13+) for renamed APIsapi-no-private-access— Don't reach into_prefixednames from outside the moduleapi-instance-vs-module-fn— Pick the namespace that matches ownership
Code Simplification (simplify-)
simplify-early-return— Return early; don't nest the happy pathsimplify-extract-after-duplication— Second copy is the decision point; third is the safe defaultsimplify-cached-property—@cached_propertyon immutable instances; not thread-safesimplify-comprehensions— Comprehensions overfor+.append()simplify-any-all-builtins—any()/all()over manual flag +breaksimplify-fallback-or—x or defaultwhen falsy values aren't semanticsimplify-flatten-nested-if—if cond1 and cond2:when no intervening codesimplify-inline-single-use-vars— Drop intermediates used oncesimplify-remove-dead-code— Delete commented-out code; git preserves history
Performance (perf-)
perf-set-for-membership—setfor repeatedinchecksperf-dict-index-over-nested-loops— Build adictfor lookupsperf-lru-cache-pure-fns—functools.lru_cache/functools.cacheon pure functionsperf-generator-over-list— Stream with generators when memory or latency mattersperf-combine-iterations— Fusefilter+mapinto one passperf-compile-regex-module-level— Compile static regex at module scope; matters in tight loopsperf-type-adapter-constant— Module-scopeTypeAdapter(applicability: pydantic)perf-isinstance-tuple-syntax— Tuple form is marginally faster; profiled hot paths only
Naming (naming-)
naming-rename-on-behavior-change— Rename when behavior changes; stale names misleadnaming-consistent-terminology— Same concept, same word across code/docs/errorsnaming-specific-over-generic—toolset_id; not bareidnaming-drop-redundant-prefixes—ToolConfig.description; notToolConfig.tool_descriptionnaming-upper-case-constants—MAX_RETRIES;_prefix for internalnaming-no-type-suffixes— No_dict/_listsuffixes; types annotate types
Imports & Structure (imports-)
imports-no-side-effects— Modules must be cheap to import — no network/model/env reads at importimports-top-of-file— Imports at the top; documented exceptions for circular / optional / deferredimports-optional-dependencies—try/except ImportErrorwith install hintsimports-scope-helpers-to-usage— Define helpers near where they're usedimports-remove-unused— Delete unused importsimports-no-duplicates— One import per nameimports-lightweight-init— Parent__init__.pyruns on every submodule import; keep heavy/optional deps out
How to Use
Read individual rule files for detail:
rules/data-mutable-defaults.md
rules/error-specific-exceptions.md
Each rule has:
- Impact level in frontmatter
- Brief explanation
- Incorrect example
- Correct example
- Optional note on edge cases
For the full compiled guide with all rules expanded: AGENTS.md.
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