Proactive Review Workflow

Automate multi-pass code review across quality, security, and performance dimensions

16 stars

Best use case

Proactive Review Workflow is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Automate multi-pass code review across quality, security, and performance dimensions

Teams using Proactive Review Workflow should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/proactive-review-workflow/SKILL.md --create-dirs "https://raw.githubusercontent.com/diegosouzapw/awesome-omni-skill/main/skills/development/proactive-review-workflow/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/proactive-review-workflow/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How Proactive Review Workflow Compares

Feature / AgentProactive Review WorkflowStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Automate multi-pass code review across quality, security, and performance dimensions

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# Proactive Review Workflow Skill

Automate multi-pass code review across quality, security, and performance dimensions.

## Trigger Conditions
- PR opened or updated
- Merge event
- User invokes with "proactive review" or "full review"

## Input Contract
- **Required:** PR diff or file changes
- **Optional:** Review focus areas, prior review comments

## Output Contract
- Multi-dimensional review report (quality, security, performance)
- Categorized findings (blocking, suggestion, nit)
- Post-merge validation results

## Tool Permissions
- **Read:** PR diffs, source code, test files, configs
- **Write:** Review comments, review reports
- **Search:** Related code and patterns

## Execution Steps
1. Analyze PR diff for scope and affected components
2. Run quality pass (complexity, naming, error handling, dead code)
3. Run security pass (injection, auth, secrets, dependencies)
4. Run performance pass (N+1 queries, unbounded collections, missing indexes)
5. Categorize findings: blocking (must fix), suggestion (consider), nit (style)
6. Run post-merge validation on merged result
7. Generate review report

## Success Criteria
- All three dimensions reviewed (quality, security, performance)
- Findings categorized by severity
- No blocking findings remain unresolved
- Post-merge validation passes

## Escalation Rules
- Escalate if PR is >400 lines (diminishing review quality)
- Escalate if Critical security finding detected
- Escalate if architectural drift detected

## Example Invocations

**Input:** "Run proactive review on PR #42"

**Output:** Review: 3 files, 89 lines changed. Quality: 1 suggestion (extract helper function). Security: 1 blocking (SQL injection in search query — use parameterized query). Performance: 1 suggestion (add index for new WHERE clause). Post-merge: clean, no composition errors.

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