accessibility-audit
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct comprehensive audits,…
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.
/team-reviewContext preview
What this command does when you run it.
Launch a multi-reviewer parallel code review with specialized review dimensions
description: "Launch a multi-reviewer parallel code review with specialized review dimensions" argument-hint: "<target> [--reviewers security,performance,architecture,testing,accessibility] [--base-branch main]"
Orchestrate a multi-reviewer parallel code review where each reviewer focuses on a specific quality dimension. Produces a consolidated, deduplicated report organized by severity.
1. Verify `CLAUDE_CODE_EXPERIMENTAL_AGENT_TEAMS=1` is set 2. Parse `$ARGUMENTS`:
1. Determine target type:
2. Collect the full diff content for distribution to reviewers 3. Display review scope to user: "{N} files to review across {M} dimensions"
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:
3. Use `TaskCreate` for each reviewer's task:
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"
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
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, 202 agents, 183 skills, 105 commands — built for Claude Code and consumed natively by OpenAI Codex CLI, Cursor, OpenCode, the Antigravity CLI, GitHub Copilot, and Pi from a single Markdown source.
Repo: wshobson/agents
You are an accessibility expert specializing in WCAG compliance, inclusive design, and assistive technology compatibility. Conduct comprehensive audits,…
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