pr-review-toolkit
claudeComprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
1 command · 6 agents
PROACTIVELY use this agent when coordinating across multiple teams, allocating resources, or optimizing studio workflows. This agent specializes in cross-functional coordination, resource management, and process optimization within the 6-day development cycle. Should be triggered automatically when team dependencies arise, resource conflicts occur, or workflow improvements are needed. Examples:\n\n<example>\nContext: When multiple teams need to collaborate\nuser: "We need the design and engineering teams to work together on the new creator dashboard"\nassistant: "Cross-team collaboration requires careful orchestration. Let me use the studio-producer agent to coordinate schedules, define handoffs, and ensure smooth collaboration between design and engineering."\n<commentary>\nEffective cross-team coordination prevents bottlenecks and ensures aligned delivery.\n</commentary>\n</example>\n\n<example>\nContext: During resource allocation discussions\nuser: "We have three high-priority features but only two senior engineers available"\nassistant: "Resource constraints require strategic allocation. I'll use the studio-producer agent to analyze team capacity and create an optimal resource plan that balances priorities."\n<commentary>\nSmart resource allocation maximizes output while preventing team burnout.\n</commentary>\n</example>\n\n<example>\nContext: When workflow inefficiencies surface\nuser: "The QA process is becoming a bottleneck for releases"\nassistant: "Process bottlenecks kill velocity. Let me use the studio-producer agent to analyze the QA workflow and design improvements that maintain quality while increasing throughput."\n<commentary>\nContinuous workflow optimization is essential for maintaining rapid development cycles.\n</commentary>\n</example>\n\n<example>\nContext: Sprint planning and coordination\nuser: "We're starting a new 6-day cycle next Monday"\nassistant: "New cycles need comprehensive planning. I'll use the studio-producer agent to coordinate
Plugin studio-producer from marketplace awesome-claude-code-plugins in xbim08/awesome-claude-code-plugins. Commands read from the repo's manifest — 1 month ago.
studio-producerPROACTIVELY use this agent when coordinating across multiple teams, allocating resources, or optimizing studio workflows. This agent specializes in cross-functional coordination, resource management, and process optimization within the 6-day development cycle. Should be triggered automatically when
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Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
1 command · 6 agents
Comprehensive feature development workflow with specialized agents for codebase exploration, architecture design, and quality review
1 command · 3 agents
Development kit for working with the Claude Agent SDK
1 command · 2 agents
Commands for git commit workflows including commit, push, and PR creation
3 commands
Use this agent when implementing AI/ML features, integrating language models, building recommendation systems, or adding intelligent automation to applications. This agent specializes in practical AI implementation for rapid deployment. Examples:\n\n<example>\nContext: Adding AI features to an app\nuser: "We need AI-powered content recommendations"\nassistant: "I'll implement a smart recommendation engine. Let me use the ai-engineer agent to build an ML pipeline that learns from user behavior."\n<commentary>\nRecommendation systems require careful ML implementation and continuous learning capabilities.\n</commentary>\n</example>\n\n<example>\nContext: Integrating language models\nuser: "Add an AI chatbot to help users navigate our app"\nassistant: "I'll integrate a conversational AI assistant. Let me use the ai-engineer agent to implement proper prompt engineering and response handling."\n<commentary>\nLLM integration requires expertise in prompt design, token management, and response streaming.\n</commentary>\n</example>\n\n<example>\nContext: Implementing computer vision features\nuser: "Users should be able to search products by taking a photo"\nassistant: "I'll implement visual search using computer vision. Let me use the ai-engineer agent to integrate image recognition and similarity matching."\n<commentary>\nComputer vision features require efficient processing and accurate model selection.\n</commentary>\n</example>
1 agent
Use this agent when you need to implement AI ethics frameworks, governance policies, and responsible AI practices for B2B applications. This agent specializes in AI bias detection, ethical AI development, algorithmic transparency, and AI governance frameworks that meet enterprise trust and compliance requirements. Examples:
1 agent
Official Convex plugin for Claude Code with bundled Convex skills, the convex-expert subagent for code-writing, a runtime-error monitor, and MCP access for backend development, schema design, real-time features, auth, file storage, scheduled jobs, and AI agents.
16 skills · 1 command · 2 agents · 1 MCP server · hooks
The official monday.com plugin for Claude Cowork. Manage boards, items, docs, and forms across work management, CRM, dev, service, and campaigns. Full read and write access via OAuth.
5 skills · 1 MCP server
Multi-agent collaboration — spawn N parallel subagents that compete on code optimization, content drafts, research approaches, or any task that benefits from diverse solutions. 7 slash commands (/hub-init, /agenthub:spawn, /hub-status, /agenthub:eval, /agenthub:merge, /agenthub:board, /hub-run), agent templates, DAG-based orchestration, LLM judge mode, message board coordination.
8 skills · 1 agent · hooks
Essential development subagents for everyday coding tasks - backend, frontend, fullstack, mobile, and API design
Comprehensive context engineering and harness engineering skills for production-grade AI agent systems: fundamentals, degradation patterns, compression, optimization, self-managed context (model-controlled live context editing), multi-agent coordination, long-horizon prompting (pseudo-formal task briefs for long-running and parallel agents), memory systems, tool design, filesystem context, hosted agents, evaluation, autonomous harnesses, self-improvement loops (RSI, meta-harnesses, evolutionary scaffold search), latent briefing (KV cache sharing between agents), project development, and cognitive architecture. Ships with a researcher operating system (rubrics, mechanism registry, claim provenance, run state machine, adversarial benchmarks, continuous loop).
19 skills
PowerPoint generation and editing plugin with text-only QA (no vision required). Uses subagents for cover, TOC, content, section dividers, summary slides, and template-based PPT editing workflows.
5 skills · 5 agents
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