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find-complexity

Find functions with high cyclomatic complexity, excessive length, or too many parameters. Use when the user asks to find complex code, complexity hotspots, refactoring candidates, or wants to improve code maintainability.

Quellinformationen

Repository
openshift/lightspeed-agentic-operator
Letzte Quellaktivität
10. Mai 2026 um 16:04
Erkannte Sprache von SKILL.md
Englisch
Sterne
15
Forks
28

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SKILL.md
Quellanweisungen · Schreibgeschützte Vorschau
name
find-complexity
description
Find functions with high cyclomatic complexity, excessive length, or too many parameters. Use when the user asks to find complex code, complexity hotspots, refactoring candidates, or wants to improve code maintainability.
disable-model-invocation
true
# Find Complexity Hotspots Identify Go functions that are hard to review, test, and maintain. ## Rules - Report findings, do not refactor. Refactoring is a separate task. - Focus on production code (`controller/`, `api/`, `cmd/`, `cli/`). Skip tests unless explicitly asked. - Rank by severity: highest complexity first. ## Step 1: Determine Scope Ask the user: - **Branch mode**: only files changed in the current branch vs main. - **Full mode**: scan the entire codebase. For branch mode: ```bash git diff --name-only upstream/main -- 'controller/' 'api/' 'cmd/' 'cli/' | grep '\.go$' | grep -v '_test\.go$' ``` ## Step 2: Install Prerequisites Install gocyclo and gocognit if not available: ```bash go install github.com/fzipp/gocyclo/cmd/gocyclo@latest go install github.com/uudashr/gocognit/cmd/gocognit@latest ``` ## Step 3: Cyclomatic Complexity ```bash gocyclo -over 10 <target> ``` This shows functions with cyclomatic complexity over 10. Thresholds: 1-10 (simple), 11-20 (moderate), 21-50 (complex), 51+ (untestable). ## Step 4: Cognitive Complexity Cognitive complexity weights nesting depth — a 5-deep `if` scores much higher than 5 sequential `if`s. ```bash gocognit -over 15 <target> ``` This shows functions with cognitive complexity over 15. ## Step 5: Function Length Find long functions (50+ lines of code, excluding comments and blank lines): ```bash for file in $(find <target> -name '*.go' -not -name '*_test.go'); do awk '/^func / {start=NR; func=$0} /^}/ && start { len=NR-start; if(len>50) print FILENAME":"start": "func" ("len" lines)" }' "$file" done ``` ## Step 6: Parameter Count Find functions with too many parameters (6+): ```bash rg "^func.*\([^)]{60,}\)" <target> -A 0 ``` Functions with 6+ parameters are candidates for parameter objects or config structs. ## Step 7: File Size Find large files (500+ lines): ```bash wc -l $(find <target> -name '*.go' -not -name '*_test.go') | sort -rn | head -20 ``` Files over 500 lines are candidates for splitting into focused packages. ## Step 8: Classify Findings For each function found, classify: | Category | Criteria | Action | |----------|----------|--------| | **Split** | High complexity + long body | Break into smaller functions | | **Simplify** | High complexity + short body | Reduce branching (early returns, switch statements) | | **Parameterize** | Too many arguments (6+) | Group into config struct | | **Monitor** | Complexity 11-15, not growing | Note it, revisit if it gets worse | | **Split file** | File over 500 lines | Break into focused packages | ## Step 9: Report For each finding: 1. File, function name, line number 2. Cyclomatic/cognitive complexity score 3. Lines of code / parameter count 4. Classification (split / simplify / parameterize / monitor) 5. Brief suggestion Summary: total hotspots, top 5 worst offenders, estimated refactoring effort.
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