Agent skill
parallel-code-review
Orchestrate parallel code review using specialized reviewer agents. Spawns 5 reviewers in parallel, synthesizes findings, and presents for triage. Use when user wants comprehensive multi-agent code review.
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/data/parallel-code-review
SKILL.md
Parallel Code Review
Orchestrates a multi-agent code review using specialized reviewers running in parallel.
Arguments
--intent <description|@file>- Optional intent for alignment check--quick- Only run security and data-integrity reviewers
Overview
| Phase | Action | Purpose |
|---|---|---|
| 1 | Gather Diff | Get code changes to review |
| 2 | Invoke Reviewers | Spawn 5 specialized agents in parallel |
| 3 | Synthesize | Aggregate and dedupe findings |
| 4 | Triage | Present findings for FIX/SKIP/FALSE POSITIVE decisions |
Reviewer Agents
| Agent | Focus Area |
|---|---|
security-reviewer |
OWASP Top 10, injection, XSS, auth, secrets |
data-integrity-reviewer |
Null checks, boundaries, race conditions |
error-handling-reviewer |
Exceptions, catch blocks, error recovery |
test-coverage-reviewer |
Missing tests, edge cases, assertions |
maintainability-reviewer |
Coupling, naming, SRP, organization |
All reviewers output findings in the standard JSON format defined in @.claude/agents/code-review/types.md.
Workflow
Phase 1: Gather Diff
Get the code changes to review:
# Get staged and unstaged changes
git diff HEAD
If no changes exist, check for commits not pushed:
# Changes since last push/merge
git diff origin/main...HEAD
If still no changes, inform user and exit.
Phase 2: Invoke Reviewers in Parallel
Spawn all reviewer agents simultaneously using Task tool. Each agent receives:
- The diff content
- Instructions to output findings in JSON format
For --quick mode: Only spawn security-reviewer and data-integrity-reviewer.
Standard mode (5 agents in parallel):
Launch ALL these Task tool calls in a SINGLE message:
Task 1: security-reviewer agent
- subagent_type: "security-reviewer"
- prompt: |
Review this diff for security issues. Output JSON findings per the Finding schema.
<diff>
{diff content}
</diff>
Task 2: data-integrity-reviewer agent
- subagent_type: "data-integrity-reviewer"
- prompt: |
Review this diff for data integrity issues. Output JSON findings per the Finding schema.
<diff>
{diff content}
</diff>
Task 3: error-handling-reviewer agent
- subagent_type: "error-handling-reviewer"
- prompt: |
Review this diff for error handling issues. Output JSON findings per the Finding schema.
<diff>
{diff content}
</diff>
Task 4: test-coverage-reviewer agent
- subagent_type: "test-coverage-reviewer"
- prompt: |
Review this diff for test coverage issues. Output JSON findings per the Finding schema.
<diff>
{diff content}
</diff>
Task 5: maintainability-reviewer agent
- subagent_type: "maintainability-reviewer"
- prompt: |
Review this diff for maintainability issues. Output JSON findings per the Finding schema.
<diff>
{diff content}
</diff>
CRITICAL: All 5 Task calls must be in a single message for true parallel execution.
Phase 3: Synthesize Results
After all reviewers complete, collect their JSON findings and pass to synthesizer:
Task: synthesizer agent
- subagent_type: "synthesizer"
- prompt: |
Aggregate these findings from multiple reviewers. Dedupe, rank by severity x confidence, and group by file.
<findings>
{
"reviewers": {
"security-reviewer": { "findings": [...] },
"data-integrity-reviewer": { "findings": [...] },
"error-handling-reviewer": { "findings": [...] },
"test-coverage-reviewer": { "findings": [...] },
"maintainability-reviewer": { "findings": [...] }
}
}
</findings>
The synthesizer outputs:
- Summary statistics (total, unique, by severity, by reviewer)
- Sorted findings array (highest priority first)
- By-file grouping for navigation
Phase 4: Triage Findings
Present findings to user in chunks of 3-5 findings at a time, starting with highest priority.
For each chunk, display:
## Review Findings (Showing N-M of Total)
### Finding 1: [severity] in [file]:[line]
**Reviewer:** [agent name]
**Confidence:** [0-1]
**Description:** [issue description]
**Suggested Fix:**
```[language]
[code snippet if available]
Finding 2: ...
Use AskUserQuestion for triage decisions:
Questions:
-
"What action for Finding 1: [brief description]?" Options:
- FIX: Issue is valid, apply the fix
- SKIP: Valid issue, won't fix now (add to tech debt)
- FALSE POSITIVE: Not actually an issue (record for calibration)
-
"What action for Finding 2: ..."
... up to 4 findings per question batch
After each batch:
- For FIX decisions: Apply the suggested fix or implement correction
- For SKIP: Note the reason if provided
- For FALSE POSITIVE: Record for future agent calibration
- Continue to next batch
### Completion
After all findings triaged, output summary:
```markdown
## Code Review Complete
**Findings Summary:**
- Total findings: N
- Fixed: X
- Skipped: Y
- False positives: Z
**Fixed Issues:**
1. [file:line] - [brief description]
2. ...
**Skipped (Tech Debt):**
1. [file:line] - [brief description] - [reason]
2. ...
**False Positives (for calibration):**
1. [file:line] - [brief description]
2. ...
Review Diary
If logs/reviews.jsonl exists or should be created, append entry:
{
"timestamp": "2024-01-15T10:30:00Z",
"mode": "parallel",
"findingsCount": 12,
"fixed": 8,
"skipped": 3,
"falsePositives": 1,
"decisions": [
{ "id": "abc123", "action": "FIX" },
{ "id": "def456", "action": "SKIP", "reason": "tech debt" },
{ "id": "ghi789", "action": "FALSE_POSITIVE" }
]
}
Error Handling
- No diff found: Inform user "No changes to review" and exit
- Reviewer fails: Log error, continue with other reviewers' findings
- No findings: Report "No issues found by any reviewer"
- Synthesizer fails: Present raw findings ungrouped, note synthesis failed
Notes
- All reviewers must complete before synthesis begins
- Triage is interactive - requires user input for each finding
- FIX actions should verify the fix compiles/lints before continuing
- False positives are valuable data for improving agent accuracy
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