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>
Community-driven marketplace for Claude Code commands and plugins.
Add this marketplace to Claude Code:
/plugin marketplace add ananddtyagi/claude-code-marketplace
Then browse and install individual plugins (commands or agents):
/plugin
Install a specific command:
/plugin install lyra@claude-code-marketplace
Install a specific agent:
/plugin install accessibility-expert@claude-code-marketplace
Visit claudecodecommands.directory to:
Each plugin in this marketplace is independently installable:
/lyra, /audit, /ultrathink)Install only what you need - no bloat, full granular control!
This marketplace is automatically synced from the live database whenever commands are published or updated.
Individual commands may have their own licenses. See each command file for details.
Submit commands at claudecodecommands.directory/submit
Built with ❤️ by the Claude Code community
Uses power tools
Uses Bash, Write, or Edit tools
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Sign in to claimBased on adoption, maintenance, documentation, and repository signals. Not a security audit or endorsement.
Updates branch names with proper prefixes and formats, enforcing naming conventions, supporting semantic prefixes, and managing remote branch updates.
This command provides the context necessary for Claude Code to create the Desktop Extension or .dxt file of an MCP.
Reviews pull request changes to provide feedback, check for issues, and suggest improvements before merging into the main codebase.
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.
Helps Claude read a planning document and explore related files to get familiar with a topic. Asking Claude to prepare to discuss seems to work better than asking it to prepare to do specific work. This is followed by Plan, then Execute.
npx claudepluginhub mulkerrin-sean/cc-marketplace --plugin ai-engineerA growing collection of Claude-compatible academic workflow bundles. Covers scientific figures, manuscript writing and polishing, reviewer assessment, citation retrieval, data availability, paper reading, literature search, response letters, paper-to-PPTX conversion, and evidence-grounded Chinese invention patent drafting. Rules are organized as reusable skill folders with explicit workflows and quality checks.
Harness-native ECC operator layer - 67 agents, 278 skills, 94 legacy command shims, reusable hooks, rules, selective install profiles, and production-ready workflows for Claude Code, Codex, OpenCode, Cursor, and related agent harnesses
The Claude Code knowledge system — 380+ skills, 182+ agents, 100+ commands, 40 hooks, 32 rules, and workflows.
Upstash Context7 MCP server for up-to-date documentation lookup. Pull version-specific documentation and code examples directly from source repositories into your LLM context.
Comprehensive PR review agents specializing in comments, tests, error handling, type design, code quality, and code simplification
Consult multiple AI coding agents (Gemini, OpenAI, Grok, Perplexity, plus codex, antigravity, and grok CLIs when installed) to get diverse perspectives on coding problems