By ccplugins
Command AI agents to rigorously double-check their work by defining verification angles, reiterating goals, specifying completion criteria, and reviewing outputs before claiming production readiness.
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npx claudepluginhub ccplugins/awesome-claude-code-plugins --plugin double-checkUse this agent when you need to design and implement complex external enterprise system integrations for B2B applications. This agent specializes in connecting your platform with Salesforce, HubSpot, Microsoft 365, Google Workspace, SAP, Oracle ERP, and other critical third-party business software. Handles external API orchestration, data synchronization with enterprise systems, webhook management for third-party services, and enterprise-grade integration patterns. Examples:
Use this agent for optimizing human-agent collaboration workflows and analyzing workflow efficiency. This agent specializes in identifying bottlenecks, streamlining processes, and ensuring smooth handoffs between human creativity and AI assistance. Examples:\n\n<example>\nContext: Improving development workflow efficiency
Generate comprehensive tests for a specific file
This is a detailed way you can analyze the GitHub issues and let Claude handle them in best possible way.
this is to analyze the PRs and solve the requested changes in them
An easy way to force agent to think again if it's statement that the "Job is done and production ready" is actually done - usually it's not. Thanks to this command you don't have to check after the agent if they did their job.
An easy way to force agent to think again if it's statement that the "Job is done and production ready" is actually done - usually it's not. Thanks to this command you don't have to check after the agent if they did their job.
Universal quality control orchestrator and final authority for any software development project. Dynamically discovers and coordinates with available sub-agents, performs comprehensive multi-dimensional quality assessment, security validation, and deployment readiness verification. Adapts to any project type, programming language, or development framework while maintaining enterprise-grade quality standards. Examples: <example>Context: Code changes ready for review across any project. user: 'Please review this code before commit' assistant: 'I'll use the 1-ceo-quality-control-agent to orchestrate comprehensive quality validation, discover available specialists, and perform final security scanning before approval.' <commentary>Universal quality control requires comprehensive validation across all dimensions regardless of project type.</commentary></example> <example>Context: Multi-agent work completion needing validation. user: 'Several agents completed their tasks, need quality review' assistant: 'Let me engage the 1-ceo-quality-control-agent to coordinate comprehensive validation across all completed work and ensure quality standards.' <commentary>Multi-agent coordination and quality validation applies to any development project.</commentary></example>
SDLC enforcement for AI agents — TDD, planning, self-review, CI shepherd
Pre- and post-implementation validation with parallel subagents: /replan validates plans before execution, /recheck verifies implementations match the plan
Verification-first engineering toolkit for Claude Code. 15 skills across a 5-phase spine (Investigate → Design → Implement → Verify → Ship), 8 specialist agents, an interactive setup wizard. Every skill has rationalizations + evidence requirements. Built for senior ICs and tech leads.