Expert knowledge for deploying to Vercel with Next.js Use when: vercel, deploy, deployment, hosting, production.

Analyze gaps between implementation plans and actual codebase implementation for the Rust self-learning memory project

Deploy a meeting dashboard to surge.sh for public sharing. Use when the user wants to deploy, publish, share, or host a dashboard online.

Manage Railway deployments, view logs, check status, and manage environment variables. Use when working with Railway hosting, deployments, or infrastructure.

Deploy and manage applications on Vercel, including preview deployments and deployment protection. Use when working with Vercel-hosted projects or configuring Vercel deployments.

Interact with GitLab repositories, merge requests, and APIs using the GITLAB_TOKEN environment variable. Use when working with code hosted on GitLab or managing GitLab resources.

Build Rust code with proper error handling and optimization for development, testing, and production. Use when compiling the self-learning memory project or troubleshooting build errors.

Interact with Bitbucket repositories and pull requests using the BITBUCKET_TOKEN environment variable. Use when working with code hosted on Bitbucket or managing Bitbucket resources via API.

Wraps command execution in a self-healing loop. Uses heuristics to auto-fix common errors (missing deps, locked files) or escalates to the Agent with structured error context.

Interact with GitHub repositories, pull requests, issues, and workflows using the GITHUB_TOKEN environment variable and GitHub CLI. Use when working with code hosted on GitHub or managing GitHub resources.

Help users work through feelings of inadequacy and self-doubt. Use when someone feels like a fraud, doubts their qualifications, is anxious about being "found out," or struggling with confidence...

Interact with Azure DevOps repositories, pull requests, and APIs using the AZURE_DEVOPS_TOKEN environment variable. Use when working with code hosted on Azure DevOps or managing Azure DevOps resources.

Ultimate AGI-level autonomous agent with FULL MCP integration. Expert in multi-step reasoning, self-improvement, tool orchestration, and goal decomposition. Uses all 11 MCP servers for maximum capability.

Use when implementing attention mechanisms, building custom transformer models, understanding positional encoding, or optimizing transformer inference - covers self-attention, multi-head...

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning...

Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning...

Comprehensive React and Vite SPA performance, architecture, and deployment guidelines. Use this skill when building, reviewing, or refactoring React applications built with Vite (SPA). Covers...

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when...

Implement ReasoningBank adaptive learning with AgentDB's 150x faster vector database. Includes trajectory tracking, verdict judgment, memory distillation, and pattern recognition. Use when...

Automatically generates illustrations for articles, uploads to image hosting (ImgBB), and inserts Markdown links. Use when adding images to articles, when user requests illustration, or when...