By mrstroz
Agent Teams-powered collaborative code review with cross-reviewer communication, AI Slop detection, and unified professional reports
Collaborative Agent Teams code review with cross-reviewer communication, AI Slop detection, and a unified professional report. Use when the user asks to review a PR, review code changes, or run a code review. Spawns a team of independent reviewer teammates (Virtual Mariusz, Backend Solidifier, Frontend Virtuoso, Quality Purist, Security Sentinel, Devil's Advocate) that can communicate with each other and share findings. Produces a professional report with executive summary, AI Slop score, cross-reviewer findings, and verdict.
Smart triage of Agent Teams Review findings into three action groups (Fix Now / Fix Later / Skip) with intelligent grouping and severity verification. Use when the user wants to triage, prioritize, or sort review findings after a code review. Also use when the user asks what to fix first, wants an action plan from a review, or mentions triage, prioritize findings, review priorities, or sort review results. Requires a completed review report from agent-teams-review.
A comprehensive plugin suite for Claude Code that streamlines software development workflows from task creation through development planning to architectural review.
This repository contains two integrated plugins that work together to create a complete development workflow:
Create well-structured tasks for software development projects with standardized formatting and comprehensive details.
Features:
Transform tasks into detailed development plans and ensure architectural quality through comprehensive reviews.
Features:
Use the /task:create command to create a structured task with a detailed description:
/task:create I need to implement Redis caching for the additional amenities API endpoint.
Currently, the endpoint fetches data directly from MongoDB using an aggregation pipeline,
which takes around 100-300ms. We need to cache this data since amenities change infrequently.
The cache should be company-specific and automatically invalidated when properties are updated.
Please review the existing implementation in @api/modules/property/controllers/PropertyController.php
and follow patterns from @api/components/services/cache/WebsitesettingRedisCacheService.php.
The endpoint is used by the frontend property form at @frontend/src/components/PropertyForm.tsx.
Use the /dev-plan:create command to transform your task into a detailed implementation plan:
/dev-plan:create Create a development plan for task gh-7097. The task involves implementing
Redis caching for the additional amenities API endpoint. Make sure to analyze the current
implementation and propose a cache-first strategy with automatic invalidation.
Use the /dev-plan:review command to conduct architectural review:
/dev-plan:review @docs/dev-plans/gh-7097-redis-caching-amenities.md
Contributions are welcome! Please feel free to submit issues or pull requests.
For issues, questions, or feature requests, please open an issue on GitHub.
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Utility helpers for common development workflows
Multi-agent PR review system with specialized agents for architecture, code quality, bugs, security, tests, and performance
JIRA integration for task creation, feedback, release notes, product roadmaps, daily summaries, release testing scenarios, and direct API data fetching
npx claudepluginhub mrstroz/claude-code-plugins --plugin agent-teams-reviewPersona-driven AI development team: orchestrator, team agents, review agents, skills, slash commands, and advisory hooks for Claude Code
5つの専門エージェント(コード調査・依存分析・パターン分析・ソリューション設計・計画書作成)がチームでコードベースを調査・議論・合意形成し、Plan Modeで実装計画を作成する。調査エージェントはExploreサブエージェントを無制限に並列起動可能
Implementation planning, execution, and PR creation workflows with multi-agent collaboration
Virtual development team: TDD, debugging, code review, backlog management, and proven workflow patterns
127-agent automated development system with Agent Teams, quality gates, Bug Council diagnostics, and autonomous execution
Ultra-compressed communication mode. Cuts ~75% of tokens while keeping full technical accuracy by speaking like a caveman.