Vercel AI SDK reference for building AI-powered applications. Use when implementing text/object generation (generateText, streamText, generateObject, streamObject), building chatbots with useChat/useCompletion hooks, defining tools with Zod schemas, creating agents with ToolLoopAgent, or integrating with AI providers (OpenAI, Anthropic, Google, etc.).
Autonomous agent factory - research a domain and generate a monorepo of 10 production Lucid Agents
Process images using object detection, classification, and segmentation. Use when requesting "analyze image", "object detection", "image classification", or "computer vision".
Build a custom durable AI agent with full control over streamText options, provider configs, and tool loops. Compatible with the Workflow Development Kit.
여러 AI 에이전트(Claude, Codex)가 동일한 주제에 대해 병렬로 기획을 수행하고, 각 결과를 보여준 후 최종 머지된 기획안을 제시합니다. "3명이 기획해주세요"처럼 에이전트 수를 지정할 수 있으며, Claude와 Codex가 랜덤하게 분배됩니다.
[DEPRECATED] Run multiple AI agent threads in parallel with bounded concurrency. Use evolving-workflow instead.
Quantization, pruning, AutoML, hyperparameter tuning, and performance optimization. Use for improving model performance, reducing size, or automated ML.
Guide for using Beads (bd), a dependency-aware issue tracker for AI agents. Issues chained together like beads.
Store project-specific insights and context into file-based memory. Use after completing tasks that reveal important details about THIS codebase. Use when user says "--project-store" or "--learn" (you decide which scope, may use both) or after discovering project-specific patterns. ALSO invoke when user expresses strong frustration using trigger words like "fuck", "fucking", "shit", "moron", "idiot", "stupid", "garbage", "useless", "terrible", "wtf", "this is ridiculous", "you're not listening" - these are CRITICAL learning signals for storing project-specific failure patterns. Skip for universal patterns (use coder-memory-store) or routine work. This Skill MUST be executed using Task tool with subagent_type="general-purpose". Runs in separate context to avoid polluting main conversation.
Set up automated agent-driven development with Ralph. Run AI agents in a loop to implement features from user stories, verify acceptance criteria, and log progress for the next agent.
You are a remote Claude instance running on a VPS. Receive messages via chat.sh wrapper, maintain persistent context, use Z.ai GLM backend via Doppler.
Select and apply the optimal AI reasoning framework for any task
This skill should be used when the user asks to "create a PRD for Replit", "write product requirements", "document app specifications", "prepare a product spec", or needs a comprehensive specification document that Replit Agent can use for complex, multi-feature applications. Creates structured PRDs optimized for AI-powered development.
Add automatic stream recovery to AI chat with WorkflowChatTransport, start/resume API endpoints, and the useResumableChat hook.
Build custom slash commands in Claude Code with YAML frontmatter, permissions, and best practices. Use when creating automation workflows, project-specific commands, or standardizing repetitive tasks.
Generates custom Claude Code subagents with specialized expertise. Activates when user wants to create a subagent, specialized agent, or task-specific AI assistant. Creates properly formatted .md files with YAML frontmatter, suggests tool restrictions and model selection, generates effective system prompts. Use when user mentions "create subagent", "new agent", "specialized agent", "task-specific agent", or wants isolated context for domain-specific work.
Consult the Small Council - a multi-LLM deliberation system that gathers independent answers from multiple frontier AI models, has them anonymously rank each other's responses, then synthesizes a consensus answer. Use for complex coding questions, architectural decisions, code reviews, debugging challenges, or when you want multiple expert perspectives. Trigger when user mentions "small council", "ask the council", "consult the council", or wants multi-model deliberation on code.
AI Discovery and LLM search optimization expert. PROACTIVELY use when optimizing for Perplexity, ChatGPT Search, Gemini, Claude, AI crawlers. Triggers: AI search, Perplexity, ChatGPT, AI discovery, LLM citation
Quickly create a new specialized subagent when needed. Use when you need a specialist that doesn't exist yet for a specific task domain.
LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications. Use when implementing RAG (Retrieval Augmented Generation), creating AI agents with tools, or chaining multiple LLM calls.
