sc-analyze

Q: How do I install sc-analyze?

Run npx skills add https://github.com/tony363/superclaude --skill sc-analyze in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sc-analyze/ (personal) or .claude/skills/sc-analyze/ (project).

by tony363Code Quality & Workflow

Comprehensive code analysis, quality assessment, and issue diagnosis. Use when analyzing code quality, security vulnerabilities, performance bottlenecks, architecture reviews, or troubleshooting bugs and build failures.

Installs: 94
Last 24h: —
Trending rank: —
Security: Not audited

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/tony363/superclaude --skill sc-analyze

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads sc-analyze automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

SKILL.md

The instructions your agent reads when the skill is triggered.

Analysis & Troubleshooting Skill

Multi-domain code analysis with issue diagnosis and resolution capabilities.

Quick Start

# Quality analysis
/sc:analyze [target] --focus quality|security|performance|architecture

# Troubleshooting mode
/sc:analyze [issue] --troubleshoot --focus bug|build|performance|deployment

# With auto-fix
/sc:analyze "TypeScript errors" --troubleshoot --focus build --fix

Behavioral Flow

Discover - Categorize source files, detect languages
Scan - Apply domain-specific analysis techniques
Evaluate - Generate prioritized findings with severity
Recommend - Create actionable recommendations
Report - Present comprehensive analysis with metrics

Flags

Flag	Type	Default	Description
`--focus`	string	quality	quality, security, performance, architecture, bug, build, deployment
`--troubleshoot`	bool	false	Enable issue diagnosis mode
`--trace`	bool	false	Detailed trace analysis for debugging
`--fix`	bool	false	Auto-apply safe fixes
`--depth`	string	standard	quick, standard, deep
`--format`	string	text	text, json, report

Analysis Domains

Quality Analysis

Code smells and maintainability issues
Pattern violations and anti-patterns
Technical debt assessment

Security Analysis

Vulnerability scanning
Compliance validation
Authentication/authorization review

Performance Analysis

Bottleneck identification
Resource utilization patterns
Optimization opportunities

Architecture Analysis

Component coupling assessment
Dependency analysis
Design pattern evaluation

Troubleshooting Mode

When --troubleshoot is enabled:

Focus	Behavior
bug	Error analysis, stack traces, code inspection
build	Build logs, dependencies, config validation
performance	Metrics analysis, bottleneck identification
deployment	Environment analysis, service validation

Examples

Security Deep Dive

/sc:analyze src/auth --focus security --depth deep

Build Failure Fix

/sc:analyze "compilation errors" --troubleshoot --focus build --fix

Performance Diagnosis

/sc:analyze "slow API response" --troubleshoot --focus performance --trace

MCP Integration

PAL MCP (Always Use)

Tool	When to Use	Purpose
`mcp__pal__thinkdeep`	Complex issues	Multi-stage investigation with hypothesis testing
`mcp__pal__debug`	Bug troubleshooting	Systematic root cause analysis
`mcp__pal__codereview`	Quality analysis	Comprehensive code quality, security, performance review
`mcp__pal__consensus`	Critical findings	Multi-model validation of security/architecture issues
`mcp__pal__challenge`	Uncertain findings	Force critical thinking on ambiguous issues
`mcp__pal__apilookup`	Dependency issues	Get current API docs for version conflicts

PAL Usage Patterns

# Deep investigation (--depth deep)
mcp__pal__thinkdeep(
    step="Investigating performance bottleneck in API layer",
    hypothesis="Database queries lack proper indexing",
    confidence="medium",
    relevant_files=["/src/api/users.py"]
)

# Security analysis (--focus security)
mcp__pal__codereview(
    review_type="security",
    findings="Authentication, authorization, injection vectors",
    issues_found=[{"severity": "high", "description": "SQL injection risk"}]
)

# Critical finding validation
mcp__pal__consensus(
    models=[
        {"model": "gpt-5.2", "stance": "for"},
        {"model": "gemini-3-pro", "stance": "against"}
    ],
    step="Evaluate: Is this a critical security vulnerability?"
)

Rube MCP (When Needed)

Tool	When to Use	Purpose
`mcp__rube__RUBE_SEARCH_TOOLS`	External analysis	Find security scanners, linters
`mcp__rube__RUBE_MULTI_EXECUTE_TOOL`	Issue tracking	Create tickets for findings
`mcp__rube__RUBE_REMOTE_WORKBENCH`	Bulk analysis	Process large codebases

Rube Usage Patterns

# Find and create Jira tickets for findings
mcp__rube__RUBE_SEARCH_TOOLS(queries=[
    {"use_case": "create jira issue", "known_fields": "project:SECURITY"}
])

# Notify team of critical findings
mcp__rube__RUBE_MULTI_EXECUTE_TOOL(tools=[
    {"tool_slug": "SLACK_SEND_MESSAGE", "arguments": {"channel": "#security", "text": "Critical finding..."}}
])

Flags (Extended)

Flag	Type	Default	Description
`--pal-deep`	bool	false	Use PAL thinkdeep for multi-stage analysis
`--pal-review`	bool	false	Use PAL codereview for comprehensive review
`--consensus`	bool	false	Use PAL consensus for critical findings
`--notify`	string	-	Notify via Rube (slack, jira, email)
`--create-tickets`	bool	false	Create tickets for findings via Rube

Tool Coordination

Glob - File discovery and structure analysis
Grep - Pattern analysis and code search
Read - Source inspection and config analysis
Bash - External tool execution
Write - Report generation
PAL MCP - Multi-model analysis, debugging, code review
Rube MCP - External notifications, ticket creation

FAQ

What does the sc-analyze skill do?

How do I install sc-analyze?

Run npx skills add https://github.com/tony363/superclaude --skill sc-analyze in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/sc-analyze/ (personal) or .claude/skills/sc-analyze/ (project).

Which AI agents can use sc-analyze?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is sc-analyze safe to install?

No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.

Who maintains sc-analyze?

It is published by tony363 in tony363/superclaude. It has 94 recorded installs.

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sc-analyze

Install

Install

Describe the task

Review the result

SKILL.md

Analysis & Troubleshooting Skill

Quick Start

Behavioral Flow

Flags

Analysis Domains

Quality Analysis

Security Analysis

Performance Analysis

Architecture Analysis

Troubleshooting Mode

Examples

Security Deep Dive

Build Failure Fix

Performance Diagnosis

MCP Integration

PAL MCP (Always Use)

PAL Usage Patterns

Rube MCP (When Needed)

Rube Usage Patterns

Flags (Extended)

Tool Coordination

FAQ

More from tony363/superclaude

Popular code quality & workflow skills