/team-review
Launch a multi-reviewer parallel code review with specialized review dimensions
$ npx -y skills add wshobson/agents --agent claude-codeHow it fires
How this command gets triggered: by you, by Claude, or both.
- Fires itselfClaude auto-loads it when your prompt matches the work.
- You can call itInvoke it directly when you want it.
- Slash command
/team-review
Context preview
What this command does when you run it.
Launch a multi-reviewer parallel code review with specialized review dimensions
Command definition
team-review.mddescription: "Launch a multi-reviewer parallel code review with specialized review dimensions"
argument-hint: "<target> [--reviewers security,performance,architecture,testing,accessibility] [--base-branch main]"
Team Review
Orchestrate a multi-reviewer parallel code review where each reviewer focuses on a specific quality dimension. Produces a consolidated, deduplicated report organized by severity.
Pre-flight Checks
1. Verify `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1` is set 2. Parse `$ARGUMENTS`:
- `<target>`: file path, directory, git diff range (e.g., `main...HEAD`), or PR number (e.g., `#123`)
- `--reviewers`: comma-separated dimensions (default: `security,performance,architecture`)
- `--base-branch`: base branch for diff comparison (default: `main`)
Phase 1: Target Resolution
1. Determine target type:
- **File/Directory**: Use as-is for review scope
- **Git diff range**: Use Bash to run `git diff {range} --name-only` to get changed files
- **PR number**: Use Bash to run `gh pr diff {number} --name-only` to get changed files
2. Collect the full diff content for distribution to reviewers 3. Display review scope to user: "{N} files to review across {M} dimensions"
Phase 2: Team Spawn
1. Use `TeamCreate` tool to create the team with `team_name: "review-{timestamp}"` and `description` 2. For each requested dimension, use `Agent` tool to spawn a teammate:
- `name`: `{dimension}-reviewer` (e.g., "security-reviewer")
- `subagent_type`: "agent-teams:team-reviewer"
- `prompt`: Include the dimension assignment, target files, and diff content
3. Use `TaskCreate` for each reviewer's task:
- Subject: "Review {target} for {dimension} issues"
- Description: Include file list, diff content, and dimension-specific checklist
Phase 3: Monitor and Collect
1. Wait for all review tasks to complete (check `TaskList` periodically) 2. As each reviewer completes, collect their structured findings 3. Track progress: "{completed}/{total} reviews complete"
Phase 4: Consolidation
1. **Deduplicate**: Merge findings that reference the same file:line location 2. **Resolve conflicts**: If reviewers disagree on severity, use the higher rating 3. **Organize by severity**: Group findings as Critical, High, Medium, Low 4. **Cross-reference**: Note findings that appear in multiple dimensions
Phase 5: Report and Cleanup
1. Present consolidated report:
## Code Review Report: {target}
Reviewed by: {dimensions}
Files reviewed: {count}
### Critical ({count})
[findings...]
### High ({count})
[findings...]
### Medium ({count})
[findings...]
### Low ({count})
[findings...]
### Summary
Total findings: {count} (Critical: N, High: N, Medium: N, Low: N)2. Send `shutdown_request` to all reviewers 3. Call `TeamDelete` to remove team resources
Read more
description: "Launch a multi-reviewer parallel code review with specialized review dimensions" argument-hint: "<target> [--reviewers security,performance,architecture,testing,accessibility] [--base-branch main]"
Team Review
Orchestrate a multi-reviewer parallel code review where each reviewer focuses on a specific quality dimension. Produces a consolidated, deduplicated report organized by severity.
Pre-flight Checks
1. Verify `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1` is set 2. Parse `$ARGUMENTS`:
- `<target>`: file path, directory, git diff range (e.g., `main...HEAD`), or PR number (e.g., `#123`)
- `--reviewers`: comma-separated dimensions (default: `security,performance,architecture`)
- `--base-branch`: base branch for diff comparison (default: `main`)
Phase 1: Target Resolution
1. Determine target type:
- **File/Directory**: Use as-is for review scope
- **Git diff range**: Use Bash to run `git diff {range} --name-only` to get changed files
- **PR number**: Use Bash to run `gh pr diff {number} --name-only` to get changed files
2. Collect the full diff content for distribution to reviewers 3. Display review scope to user: "{N} files to review across {M} dimensions"
Phase 2: Team Spawn
1. Use `TeamCreate` tool to create the team with `team_name: "review-{timestamp}"` and `description` 2. For each requested dimension, use `Agent` tool to spawn a teammate:
- `name`: `{dimension}-reviewer` (e.g., "security-reviewer")
- `subagent_type`: "agent-teams:team-reviewer"
- `prompt`: Include the dimension assignment, target files, and diff content
3. Use `TaskCreate` for each reviewer's task:
- Subject: "Review {target} for {dimension} issues"
- Description: Include file list, diff content, and dimension-specific checklist
Phase 3: Monitor and Collect
1. Wait for all review tasks to complete (check `TaskList` periodically) 2. As each reviewer completes, collect their structured findings 3. Track progress: "{completed}/{total} reviews complete"
Phase 4: Consolidation
1. **Deduplicate**: Merge findings that reference the same file:line location 2. **Resolve conflicts**: If reviewers disagree on severity, use the higher rating 3. **Organize by severity**: Group findings as Critical, High, Medium, Low 4. **Cross-reference**: Note findings that appear in multiple dimensions
Phase 5: Report and Cleanup
1. Present consolidated report:
## Code Review Report: {target}
Reviewed by: {dimensions}
Files reviewed: {count}
### Critical ({count})
[findings...]
### High ({count})
[findings...]
### Medium ({count})
[findings...]
### Low ({count})
[findings...]
### Summary
Total findings: {count} (Critical: N, High: N, Medium: N, Low: N)2. Send `shutdown_request` to all reviewers 3. Call `TeamDelete` to remove team resources
Production-ready agentic workflow building blocks: 94 plugins, 203 agents, 175 skills, 109 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, Gemini CLI, and GitHub Copilot from a single Markdown source.
Repo: wshobson/agents
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