Agent skill

python-refactoring

Python refactoring catalog with 83 patterns covering immutability, class design, control flow, architecture, OO metrics, and Python idioms. Analyze code for smells and apply numbered refactoring patterns with before/after examples. Use when the user invokes /refactor or explicitly asks to refactor, clean up, or improve Python code quality.

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Install this agent skill to your Project

npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/other/other/python-refactoring

SKILL.md

Python Refactoring Skill

83 refactoring patterns from Contieri's series, Fowler's catalog, OO metrics literature, and Python idioms.

Modes

Active Analysis (default when given code): Identify smells -> map to patterns -> load relevant references -> apply refactorings with before/after -> note trade-offs.

Reference Lookup (when asked about a pattern by number/name): Load the relevant reference file -> present the pattern.

Smell-to-Pattern Map

Code Smell Patterns File
Setters / half-built objects SC101, SC104 state.md
Mutable default args SC701 idioms.md
Unprotected public attributes SC103 state.md
Magic numbers / constants SC601 hygiene.md
Variables that never change SC102 state.md
Boolean flags for roles/states SC105 state.md
Stale cached/derived attributes 030 state.md
Long function, multiple concerns SC201, 010 functions.md
Comments replacing code 005 functions.md
Comments explaining what code does 011 hygiene.md
Generic names (result, data, tmp) SC202 functions.md
Duplicated logic SC606 hygiene.md
Near-duplicate functions 050 functions.md
Long related parameter lists SC206, 052 functions.md
Query + modify in same function SC207 functions.md
Static functions hiding deps 020 functions.md
input() in business logic SC203 functions.md
Getters exposing data 027 functions.md
Need to test private methods 037 functions.md
Unused function parameters SC208 functions.md
Long lambda expressions SC209 functions.md
Type-checking if/elif chains SC302 types.md
isinstance() dispatch 060 idioms.md
Dicts as objects (stringly-typed) 012 types.md
Raw primitives with implicit rules 019, 044 types.md
Raw lists, no domain meaning 038 types.md
Boilerplate __init__/__repr__/__eq__ SC304 idioms.md
Related functions without a class SC301 types.md
Sibling classes with duplicate behavior 022 types.md
Inheritance without "is-a" 023 types.md
Constructor needs descriptive name 048 types.md
Scattered None checks 015, SC204 types.md
Lazy class (too few methods) SC306 types.md
Temporary fields (used in few methods) SC307 types.md
Deep nesting SC402 control.md
Imperative loops with accumulation SC403 control.md
Complex boolean expressions SC404 control.md
Long expressions, no named parts 043 control.md
Loop doing two things 046 control.md
Parse/compute/format mixed 047 control.md
Clunky algorithm 049 control.md
Boolean flag controlling loop SC405 control.md
Complex if/elif dispatch 056 control.md
Related statements scattered 053 control.md
Missing default else branch SC407 control.md
Complex comprehensions SC406 control.md
Singleton / global state SC303, SC106 architecture.md
Same exception for biz + infra 035 architecture.md
Chained .attr.attr.attr SC502 architecture.md
No fail-fast assertions 045 architecture.md
Dead code / commented blocks SC401 hygiene.md
Unused exceptions SC602 hygiene.md
Empty catch blocks SC605 hygiene.md
Giant regex 025 hygiene.md
Excessive decorators SC205 hygiene.md
String concatenation for multiline SC603 hygiene.md
Inconsistent formatting 032 hygiene.md
Cryptic error messages 031 hygiene.md
Sequential IDs leaking info SC107 architecture.md
Error codes instead of exceptions SC501 architecture.md
Blocking calls in async functions SC703 idioms.md
Manual try/finally cleanup SC702, SC604 idioms.md
Full lists when streaming works 059 idioms.md
Indexing tuples by position SC305 idioms.md
Shotgun surgery (wide call spread) SC505 architecture.md
Deep inheritance tree SC308 types.md
Wide hierarchy (too many subclasses) SC309 types.md
Inappropriate intimacy SC506 architecture.md
Speculative generality (unused ABCs) SC507 architecture.md
Unstable dependency SC508 architecture.md
Low class cohesion (LCOM) SC801 metrics.md
High coupling between objects (CBO) SC802 metrics.md
Excessive fan-out SC803 metrics.md
High response for class (RFC) SC804 metrics.md
Middle man (excessive delegation) SC805 metrics.md

Reference Files

Load only the file(s) matching detected smells:

  • references/state.md -- Immutability, setters, attributes (SC101, SC102, SC103, SC104, SC105, 030)
  • references/functions.md -- Method extraction, naming, parameters, CQS (SC201, 005, SC202, 010, 020, SC203, 027, SC206, 037, SC207, 050, 052, SC208, SC209)
  • references/types.md -- Class design, reification, polymorphism, nulls (SC301, 012, SC302, 015, 019, 022, 023, SC204, 038, 044, 048, SC306, SC307, SC308, SC309)
  • references/control.md -- Guard clauses, pipelines, conditionals, phases (SC402-SC404, 043, 046, 047, 049, 053, SC405, 056, SC406, SC407)
  • references/architecture.md -- DI, singletons, exceptions, delegates (SC303, SC106, SC107, 035, 045, SC501, SC502, SC505, SC506, SC507, SC508)
  • references/hygiene.md -- Constants, dead code, comments, style (SC601, SC602, 011, SC606, SC401, 025, 031-032, SC205, SC603, SC605)
  • references/idioms.md -- Context managers, generators, unpacking, protocols, async (SC701, SC702, SC703, 059, 060, SC304, SC305, SC604)
  • references/metrics.md -- OO metrics: cohesion, coupling, fan-out, response, delegation (SC801, SC802, SC803, SC804, SC805)

Automated Smell Detector

scripts/detect_smells.py runs the smell detector with 56 automated checks (41 per-file + 10 cross-file + 5 OO metrics). It ships with a bundled copy of the smellcheck package — no pip install required.

bash
# Works immediately after skill install — no pip required
python3 scripts/detect_smells.py src/
python3 scripts/detect_smells.py myfile.py --format json

# Look up rule documentation (description + before/after example)
python3 scripts/detect_smells.py --explain SC701
python3 scripts/detect_smells.py --explain SC4    # list a family
python3 scripts/detect_smells.py --explain all    # list all rules

# Caching (enabled by default — skips unchanged files on repeat scans)
python3 scripts/detect_smells.py src/ --no-cache       # fresh scan
python3 scripts/detect_smells.py --clear-cache         # purge cache

# Or use the pip-installed CLI directly
pip install smellcheck
smellcheck src/ --min-severity warning --fail-on warning

Per-file detections (41): SC101 setters, SC201 long functions, SC601 magic numbers, SC602 bare except, SC202 generic names, SC301 extract class, SC102 UPPER_CASE without Final, SC103 public attrs, SC302 isinstance chains, SC104 half-built objects, SC105 boolean flags, SC303 singleton, SC401 dead code after return, SC106 global mutables, SC203 input() in logic, SC107 sequential IDs, SC204 return None|list, SC205 excessive decorators, SC206 too many params, SC603 string concatenation, SC402 deep nesting, SC403 loop+append, SC207 CQS violation, SC404 complex booleans, SC501 error codes, SC502 Law of Demeter, SC405 control flags, SC701 mutable defaults, SC702 open without with, SC703 blocking calls in async, SC304 dataclass candidate, SC305 sequential indexing, SC604 contextlib candidate, SC210 cyclomatic complexity, SC208 unused parameters, SC605 empty catch block, SC209 long lambda, SC406 complex comprehension, SC407 missing else, SC306 lazy class, SC307 temporary field.

Cross-file detections (10): SC606 duplicate functions (AST-normalized hashing), SC503 cyclic imports (DFS), SC504 god modules, SC211 feature envy, SC505 shotgun surgery, SC308 deep inheritance, SC309 wide hierarchy, SC506 inappropriate intimacy, SC507 speculative generality, SC508 unstable dependency.

OO metrics (5): SC801 lack of cohesion, SC802 coupling between objects, SC803 fan-out, SC804 response for class, SC805 middle man.

Run the detector first for a quick scan, then use the reference files to understand and apply the suggested refactorings.

Guided Refactoring Workflow

smellcheck groups its 56 rules into 9 ordered phases with dependency chains. The --plan command generates a customized refactoring plan based on actual findings.

Initialization

bash
# Bundled (no pip install required)
python3 scripts/detect_smells.py <path> --plan
python3 scripts/detect_smells.py <path> --plan --format json

# Or via pip-installed CLI
smellcheck <path> --plan
smellcheck <path> --plan --format json

The plan auto-selects a strategy: local_first (default, phases 0-8) or architecture_first (reorders to [0,1,7,8,2,3,4,5,6]) when >30% of findings are cross-file or metric scoped.

Phase Execution Loop

Each phase has three passes:

Pass 1 — Automated scan: Run the --select command printed in the plan output for the current phase. Fix each finding using the reference file for that rule's family.

Pass 2 — Agent semantic review: For candidate files (files with automated findings + changed files in branch + import neighbors for cross-file phases), check for manual patterns assigned to the current phase. Evidence requirements for every semantic finding:

  • File path and line range
  • Actual code snippet
  • Pattern number and name
  • Why it matches the heuristic
  • Confidence score (>=0.8 auto-fix, 0.5-0.79 suggest+confirm, <0.5 don't emit)

Pass 3 — Gate check: If gate is tests_pass, run the test suite and do not proceed until green. If rescan_after is true, re-run --plan and re-bucket.

Manual Pattern Assignments per Phase

For each manual pattern below, load the corresponding reference file from the Reference Files section to see full before/after examples.

Phase Patterns Agent detection heuristics
0 correctness (none) Fully automated
1 dead_code 005 Comments that restate the next line — delete them
2 clarity 011, 031 011: comments explaining "what" not "why". 031: error messages missing context
3 idioms 059, 060 059: list(gen) where result is only iterated once. 060: single isinstance() dispatch
4 control_flow 043, 046, 047, 049, 053, 056 043: expression >80 chars with no named subparts. 046: loop body with 2+ concerns. 047: function that parses+computes+formats. 049: manual impl of stdlib op. 053: related lines separated by unrelated. 056: if/elif 4+ branches
5 functions 010, 020, 027, 037, 050, 052 020: function-scoped import. 027: obj.get_x() + logic → move to obj. 037: test accessing ._private. 050: two functions >80% body similarity. 052: 3+ related params
6 state_class 012, 019, 022, 023, 030, 038, 044, 048 012: dict with 3+ consistent keys → dataclass. 019/044: primitive with constraints → value object. 022: siblings with duplicate methods. 023: inheritance for reuse not "is-a". 030: cached attr that drifts. 038: list[str] with domain meaning. 048: unclear constructor → factory
7 architecture 015, 025, 035, 045 015: if x is not None in 3+ sites → Null Object. 025: regex >80 chars → re.VERBOSE. 035: same exception for biz+infra. 045: broad input without precondition
8 metrics (none) Fully automated; use results to revisit phase 6

Pattern 032 (inconsistent formatting): Tool-enforced — run black or ruff format before starting workflow.

Conditional Branching

  • No classes detected → phases 6 and 8 skip automatically
  • No async code (SC703 has 0 findings) → skip in phase 3
  • Architecture-dominant (>30% cross-file) → plan reorders to architecture-first
  • Single-file scan → cross-file phases will naturally have 0 findings
  • Large backlog → generate baseline, gate only new findings

Feedback Loops

  • Phase 8 → Phase 6: under local_first, if metrics still high, loop back (max 2 iterations). Under architecture_first, phase 8 runs before phase 6, so this becomes forward flow — metrics inform the class design pass.
  • Phase 5 → Phase 8: extraction changes cohesion, re-check metrics
  • Any phase → tests: if tests break, pause and fix first

Completion Criteria

All phases either skip (0 findings) or pass. Tests green. Feedback loops converged. smellcheck --plan shows all phases as skip.

Guidelines

  • Prioritize structural refactorings over cosmetic
  • Preserve existing tests -- refactoring changes structure, not behavior
  • Group related changes when multiple patterns apply
  • Flag changes to public API (breaking vs non-breaking)
  • For large code, suggest incremental order rather than all-at-once
  • When patterns conflict, explain the trade-off and recommend

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