This skill should be used when extracting voice profiles from sample text, creating voice documentation, or matching a specific writing style. It applies when users provide sample text and want to capture the voice for future use.
Build a custom durable AI agent with full control over streamText options, provider configs, and tool loops. Compatible with the Workflow Development Kit.
Generates, analyzes, and optimizes prompts for skills, commands, subagents, reference docs, and free-form text. Use when generating prompt content, analyzing prompt files, or optimizing prompt text to apply techniques and reduce bloat. Trigger with phrases like '[generate|analyze|optimize] prompt', '[generate|analyze|optimize] [file-path]', 'create [skill|command|subagent]'.
Load agent definitions on-demand to reduce context usage. Only loads full agent when needed.
AI SDK 6 Beta overview, agents, tool approval, Groq (Llama), and Vercel AI Gateway. Key breaking changes from v5 and new patterns.
Build and evaluate classification models for supervised learning tasks with labeled data. Use when requesting "build a classifier", "create classification model", or "train classifier".
Send prompts to a remote Claude instance on a VPS for distributed AI collaboration, different model backends, or independent context.
INVOKE when multiple approaches exist and exploration is valuable. Produces visible branching with evaluation and recommendation. Use before implementation when comparing options. Triggers: comparing approaches, exploring alternatives, brainstorming solutions, pros/cons analysis.
Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
Initialize projects with agentic coding structure. Use when setting up a new project, adding AI agent support to existing project, or when user says "init", "initialize", "setup project", or "scaffold". Creates AGENTS folder, documentation templates, and _NOTES scratch space.
Build production AI agents using the Claude Agent SDK (TypeScript/Python). Use this skill when the user asks about: (1) Building AI agents with Claude, (2) Using the @anthropic-ai/claude-agent-sdk or claude-agent-sdk packages, (3) Implementing agent features like tools, hooks, subagents, MCP integration, or sessions, (4) Migrating from Claude Code SDK to Agent SDK, (5) Configuring permissions, budgets, or custom tool access.
Configure SessionStart hooks for Claude Code on the web. Use when setting up a repository to run on cloud infrastructure, installing dependencies, or initializing environments for remote Claude Code sessions.
Search for vectors using semantic similarity. Requires authentication. Use for Agentuity cloud platform operations
Deploy vLLM for high-performance LLM inference. Covers Docker CPU/GPU deployments and cloud VM provisioning with OpenAI-compatible API endpoints.
Saves conversation history to session log files. Use when user says "保存对话", "保存对话信息", "记录会话", "save session", or "save conversation". Automatically creates timestamped session log in sessions/ directory.
LLMが外部サービスと対話するための適切に設計されたツールを通じて、高品質なMCP (Model Context Protocol) サーバーを作成するためのガイド。Python (FastMCP)、Node/TypeScript (MCP SDK)、Rust (Tokio)で、外部APIやサービスを統合するMCPサーバーを構築する際に使用します。
Guidance for using local LLM backends (Ollama/GPT-OSS) inside AGILAB with correctness-first prompts.
