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~/catalogue/debugging et maintenance//team-review

Revue de code multi-réviseurs

/team-review

Organisez une révision de code parallèle impliquant plusieurs réviseurs, chacun se concentrant sur un aspect spécifique de la qualité. Cela permet de générer un rapport consolidé et dédupliqué,

wshobsonwshobson
39.5k
5 juin 2026
MIT
// contenu du skill

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
  1. Collect the full diff content for distribution to reviewers
  2. 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
  1. 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)
  1. Send shutdown_request to all reviewers
  2. Call TeamDelete to remove team resources
// source originale publique
wshobson/agents
/plugins/agent-teams/commands/team-review.md
Licence : MIT
Projet indépendant, non affilié à Anthropic. Ce skill reste la propriété de son auteur original.
// installer ce skill
Collez cette commande dans votre terminal à la racine de votre projet :
mkdir -p .claude/commands && curl -o ".claude/commands/team-review.md" "https://raw.githubusercontent.com/wshobson/agents/main/plugins/agent-teams/commands/team-review.md"
Ensuite dans Claude Code, tapez /team-review pour l'activer.
open_in_newVoir la source originale
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// informations
Créateurwshobson
Étoiles 39.5k
LicenceMIT
Mis à jour5 juin 2026
Format.md
AccèsGratuit
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