skills/x-agents-cross-review/SKILL.md
Multi-agent parallel review
npx skillsauth add laststance/skills x-agents-cross-reviewInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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When running this skill in Codex, translate Claude Code-only primitives before acting: AskUserQuestion -> chat/request_user_input, TodoWrite -> update_plan, Task/TaskCreate/TeamCreate/SendMessage -> spawn_agent/send_input/wait_agent when available and allowed, and EnterPlanMode/ExitPlanMode -> a concise chat plan plus explicit approval.
Resolve Read/Write/Edit/Bash/WebSearch/WebFetch to Codex file/shell/web tools, and map ~/.claude/... paths to ~/.agents/... or ~/.codex/... unless the task explicitly targets Claude Code.
When running this skill in Cursor Agent, translate Claude Code-only primitives before acting: AskUserQuestion -> AskQuestion; TodoWrite -> Cursor TodoWrite or an equivalent checklist; Task/TaskCreate/TeamCreate/SendMessage/multi-agent flows -> Cursor Task (subagents), parallel Tasks, or run_in_background when allowed (TeamCreate/SendMessage may have no exact match); EnterPlanMode/ExitPlanMode -> Plan mode (SwitchMode / CreatePlan) plus explicit user approval.
Resolve Read/Write/Edit/StrReplace/Bash/web/search/MCP via Cursor Composer or Agent equivalents. MCP names written as mcp__server__tool typically map to call_mcp_tool with configured server identifiers. Map ~/.claude/... to ~/.cursor/skills/, .cursor/skills/, and .cursor/rules/ unless the task explicitly targets Claude Code.
Launch X parallel agents to independently review the same scope from different perspectives. Each agent gets full tool access, the highest-performance model, and maximum thinking time.
<essential_principles>
</essential_principles>
mcp__claude_ai_Notion__notion-fetchmcp__zumen-api-docs__read_project_oas_* or curl to filegit diff dev --name-only for changed filesgh pr view for PR description and diff| Scope Size | Base Agents | +1 | Total | |------------|-------------|-----|-------| | Small (1-3 files, single concern) | 3 | +1 | 4 | | Medium (4-10 files, multi-concern) | 5 | +1 | 6 | | Large (10+ files, cross-cutting) | 8 | +1 | 9 | | Critical (production deploy, security) | 10 | +1 | 11 |
Assign perspectives from the perspectives library. Rules:
Launch ALL agents in a single message (parallel execution). Each agent config:
Agent(
name: "reviewer-{NN}-{perspective-slug}",
model: "opus",
mode: "bypassPermissions",
run_in_background: true,
prompt: <constructed from template below>
)
## Task: {review_type} (Reviewer #{N}/{total} — {perspective_name})
{context_material}
### Review Scope
{file_list_or_spec}
### Instructions
- Use Serena tools for code reading (find_symbol, get_symbols_overview, search_for_pattern)
- Use mcp__sequential-thinking__sequentialthinking for step-by-step analysis
- Use Context7 for library documentation when needed
- Review ALL items in scope from your perspective: {perspective_description}
### Requirements Checklist
{requirements_list}
### Output Format
## Reviewer #{N}: {perspective_name}
### Requirements Status
| # | Requirement | Status | Evidence |
...
### ISSUES FOUND
- [severity: CRITICAL/HIGH/MEDIUM/LOW] [location]: [description]
### OBSERVATIONS
### Summary
[1-2 sentence assessment]
Report progress as agents complete:
**#N 完了** ({perspective}) — {brief_summary}. 残り M/{total} ⏳After ALL agents complete, produce:
## X重レビュー統合レポート — {target}
### 全体判定: {PASS/FAIL} (CRITICAL N件)
### 要件別コンセンサス
| # | Requirement | Verdict | Reviewers |
(items where multiple reviewers agree)
### コンセンサス発見 (複数レビュアー一致)
| # | Finding | Severity | Reviewers | Fix |
(sorted by reviewer count, then severity)
### 単独発見 (1レビュアーのみ)
| # | Finding | Severity | Reviewer | Note |
### PASS 項目サマリー
### Insight
(What the multi-review approach uniquely uncovered)
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