parallel-analyze
The parallel-analyze command spawns four independent subagents that simultaneously examine code or directories from distinct perspectives: architecture, security, performance, and testing. Use this command when you need comprehensive multi-faceted code review that identifies structural issues, vulnerabilities, efficiency problems, and test gaps in a single parallel execution rather than sequential analysis.
mkdir -p ~/.claude/commands && curl -fsSL https://raw.githubusercontent.com/CloudAI-X/claude-workflow-v2/HEAD/commands/parallel-analyze.md -o ~/.claude/commands/parallel-analyze.mdparallel-analyze.md
# Parallel Multi-Perspective Analysis Analyze `$ARGUMENTS` from multiple perspectives simultaneously using parallel subagents. ## Process 1. **Identify Target**: Parse the file or directory to analyze 2. **Spawn Perspective Agents**: Launch 4 parallel subagents (one per perspective) 3. **Collect Results**: Each subagent returns its analysis automatically on completion 4. **Synthesize**: Merge findings into unified recommendations ## Execution Pattern **CRITICAL**: Launch ALL Task calls in a SINGLE message for true parallelism. For the target, spawn 4 perspective-based subagents with `run_in_background: true`: ``` I'm launching 4 parallel analysis agents: [Task 1] description: "Architecture analysis" prompt: "You are a software architect analyzing [target]. Evaluate: - Component structure and boundaries - Dependency patterns and coupling - Design pattern usage - Layering and separation of concerns - Scalability considerations - SOLID principle adherence Provide findings with file:line references and improvement suggestions." run_in_background: true [Task 2] description: "Security analysis" prompt: "You are a security auditor analyzing [target]. Check for: - OWASP Top 10 vulnerabilities - Input validation gaps - Authentication/authorization issues - Hardcoded secrets or credentials - Injection vulnerabilities (SQL, XSS, command) - Insecure dependencies Provide findings with severity levels (Critical/High/Medium/Low)." run_in_background: true [Task 3] description: "Performance analysis" prompt: "You are a performance engineer analyzing [target]. Look for: - Algorithmic complexity issues (O(n²), O(n!)) - N+1 query patterns - Memory leaks or inefficient allocations - Blocking operations in async contexts - Missing caching opportunities - Unnecessary computations Provide findings with estimated impact levels." run_in_background: true [Task 4] description: "Testing analysis" prompt: "You are a test architect analyzing [target]. Evaluate: - Test coverage gaps - Missing edge case tests - Untested error paths - Integration test opportunities - Test code quality - Mocking strategy effectiveness Provide recommendations for improving test coverage." run_in_background: true ``` Each subagent returns its result automatically when it completes — there is no separate retrieval step. Read each analysis as it returns. ## Output Format ```markdown ## Multi-Perspective Analysis: [Target] ### Summary - **Perspectives analyzed**: 4 - **Total findings**: X - **Critical issues**: Y - **Execution time**: ~Zs (parallel) --- ### Architecture Perspective #### Strengths - [Pattern/decision] - [Why it's good] #### Concerns - [Issue] at file:line - [Description] - [Issue] at file:line - [Description] #### Recommendations - [Improvement] - [Rationale] --- ### Security Perspective #### Critical - [Vulnerability] at file:line - [Impact] #### High - [Issue] at file:line - [Description] #### Medium/Low - [Issue] at file:line - [Description] --- ### Performance Perspective #### High Impact - [Bottleneck] at file:line - [Complexity/Impact] #### Medium Impact - [Issue] at file:line - [Description] #### Optimization Opportunities - [Opportunity] at file:line - [Expected improvement] --- ### Testing Perspective #### Coverage Gaps - [Untested area] - [Priority] #### Missing Test Cases - [Function/path] - [Suggested tests] #### Quality Improvements - [Issue in tests] - [Recommendation] --- ### Cross-Perspective Synthesis #### Priority Actions (Ordered) 1. **[Highest priority]** - [From perspective] - [Why] 2. **[Second priority]** - [From perspective] - [Why] 3. **[Third priority]** - [From perspective] - [Why] #### Interconnected Issues - [Issue A] affects [Issue B]: [Explanation] #### Recommended Approach 1. [First action to take] 2. [Second action to take] 3. [Third action to take] ``` ## Example Usage ``` /project-starter:parallel-analyze src/api ``` This spawns 4 parallel analysts (architecture, security, performance, testing), completing in ~1/4 the time of sequential analysis. ## When to Use - Before major refactoring efforts - During architecture reviews - Pre-release quality gates - Technical debt assessment - Code audit preparation - New developer onboarding (understand quality state) ## Perspective Details | Perspective | Focus Areas | Severity Levels | | ------------ | ----------------------------- | --------------------------- | | Architecture | Structure, patterns, coupling | Concern, Suggestion | | Security | Vulnerabilities, OWASP | Critical, High, Medium, Low | | Performance | Complexity, bottlenecks | High, Medium, Optimization | | Testing | Coverage, quality | Gap, Missing, Improvement |
Add tests for recently changed files or specified code
Analyzes codebases to understand structure, tech stack, patterns, and conventions. Use when onboarding to a new project, exploring unfamiliar code, or when asked "how does this work?" or "what's the architecture?
System design and architecture planning mode. Focuses on high-level design, trade-offs, and technical decisions before implementation.
Explore the repository with 10 parallel subagents to create comprehensive documentation. Creates CODEBASE.md with full architecture analysis.
Expert code review specialist. Use PROACTIVELY after writing or modifying code, before commits, when asked to review changes, PR review, code quality check, lint, or standards audit. Focuses on quality, security, performance, and maintainability.
Simplifies code after implementation. Reviews recent changes and suggests/applies simplifications while preserving behavior.
Create a conventional commit with auto-generated message
Commit staged changes, push to remote, and create a pull request