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2,709 results in Workflows, Skills, Hooks, Sub-Agents · page 30 of 113
Multi-source deep research using firecrawl and exa MCPs. Searches the web, synthesizes findings, and delivers cited reports with source attribution. Use when the user wants thorough research on any topic with evidence and citations.
Deep research skill powered by NotebookLM MCP. Conducts structured multi-source research (market analysis, competitive intel, trend analysis, prospect research) using Google NotebookLM as the research engine, then delivers formatted briefs and optional studio artifacts (slides, audio podcasts, videos, infographics, reports, mind maps).
Security checklist for Solidity AMM contracts, liquidity pools, and swap flows. Covers reentrancy, CEI ordering, donation or inflation attacks, oracle manipulation, slippage, admin controls, and integer math.
Multiagent AI system for scientific research assistance that automates research workflows from data analysis to publication. This skill should be used when generating research ideas from datasets, developing research methodologies, executing computational experiments, performing literature searches, or generating publication-ready papers in LaTeX format. Supports end-to-end research pipelines with customizable agent orchestration.
Review and manage Dependabot PRs. Categorizes by risk, checks CI status, auto-merges safe updates, and reports issues. Use when the user says "review dependabot", "merge dependabot", "dependabot PRs", or "update dependencies".
Refactor legacy codebases, migrate outdated frameworks, and implement gradual modernization. Handles technical debt, dependency updates, and backward compatibility. Use PROACTIVELY for legacy system updates, framework migrations, or technical debt reduction.
Use this agent to manage project dependencies. Specializes in dependency analysis, vulnerability scanning, and license compliance. Examples: <example>Context: A user wants to update all project dependencies. user: 'Please update all the dependencies in this project.' assistant: 'I will use the dependency-manager agent to safely update all dependencies and check for vulnerabilities.' <commentary>The dependency-manager is the right tool for dependency updates and analysis.</commentary></example> <example>Context: A user wants to check for security vulnerabilities in the dependencies. user: 'Are there any known vulnerabilities in our dependencies?' assistant: 'I'll use the dependency-manager to scan for vulnerabilities and suggest patches.' <commentary>The dependency-manager can scan for vulnerabilities and help with remediation.</commentary></example>
Monitor deployment status, error rates, and performance metrics, sending notifications for failed deployments or performance degradation. Tracks Vercel deployment health, monitors build success/failure rates, and provides alerts for deployment issues. Setup: Export 'export VERCEL_TOKEN=your_token' and 'export VERCEL_PROJECT_ID=your_project_id' (get from vercel.com/account/tokens and Vercel dashboard).
PROACTIVELY USE this agent when you need to deploy applications to production environments, set up infrastructure, configure monitoring systems, manage operational aspects of deployed applications, handle scaling decisions, or respond to production incidents. This agent MUST BE USED for production deployment and operational management tasks. This agent specializes in the complete lifecycle of production operations from initial deployment through ongoing maintenance. Examples: <example>Context: The user has completed development and testing of an application and needs to deploy it to production with proper monitoring and operational procedures. user: 'The application is ready for production. Set up the deployment pipeline and monitoring.' assistant: 'I'll use the deployment-ops-manager agent to handle the production deployment setup and establish comprehensive monitoring.' <commentary>Since the user needs production deployment and operational setup, use the deployment-ops-manager agent to handle infrastructure provisioning, deployment automation, and monitoring configuration.</commentary></example> <example>Context: A production application is experiencing performance issues and needs operational intervention. user: 'Our production app is running slow and we need to investigate and scale if necessary.' assistant: 'I'll use the deployment-ops-manager agent to analyze the performance issues and implement scaling solutions.' <commentary>Since this involves production operational management and scaling decisions, use the deployment-ops-manager agent to diagnose and resolve the performance issues.</commentary></example>
Expert deployment engineer specializing in modern CI/CD pipelines, GitOps workflows, and advanced deployment automation. Masters GitHub Actions, ArgoCD/Flux, progressive delivery, container security, and platform engineering. Handles zero-downtime deployments, security scanning, and developer experience optimization. Use PROACTIVELY for CI/CD design, GitOps implementation, or deployment automation.