Tag: llm
LobeHub task management and workflow orchestration
This skill provides comprehensive CLI access to manage the entire task lifecycle within LobeHub. Developers can use commands to track progress, manage subtasks and dependencies, and handle associated documents and conversation topics.
LobeHub CLI for managing AI services
This robust command-line interface provides comprehensive management and interaction capabilities for the LobeHub ecosystem. It allows developers to perform tasks such as content generation, managing knowledge bases, handling user memory, a…
Agent Voice Call Management Tool
This tool facilitates agent-initiated voice communication, allowing developers to initiate, continue, and terminate calls using various providers such as Twilio, Telnyx, or Plivo. It provides granular control over call status and message de…
CLI for Inspecting Agent Execution Snapshots
This zero-config CLI records and inspects detailed snapshots of agent execution runs. It allows developers to debug complex agent flows by viewing context engine inputs, LLM payloads, tool calls, and raw runtime events.
Oracle Context-Aware Prompting CLI
Oracle bundles prompts and selected files into a single request to provide LLMs with real repository context via API or browser automation. It supports advanced file filtering, session management, and multi-engine workflows.
Building AI Applications with Vercel AI SDK
This skill guides developers through building advanced AI features, including agents, chatbots, and RAG systems, using the Vercel AI SDK. It covers best practices for streaming, tool calling, structured output, and integrating various LLM p…
Update AI SDK provider model identifiers
This skill manages the lifecycle of AI model identifiers across various provider SDK packages. It systematically adds or removes model IDs from type definitions, documentation, and examples, ensuring strict adherence to existing code struct…
Comprehensive AI SDK Function Examples and Templates
A comprehensive collection of runnable examples demonstrating best practices for various AI SDK functions, including text generation, structured output, and image creation. It provides templates for validating provider support and implement…
Guide for integrating new AI service providers
This guide details the architectural pattern and step-by-step process required to create a new, compliant AI provider package for the AI SDK. It covers everything from package structure and TypeScript configuration to implementing model cla…
Gemini CLI for one-shot AI interactions
Provides a command-line interface for interacting with the Gemini model, enabling one-shot Q, summarisation, and structured content generation. It supports specifying models and enforcing output formats like JSON.
A2UI JSON Response Generation Skill
This skill enables agents to generate rich, interactive user interfaces by dynamically retrieving relevant A2UI JSON schematics and modular UI templates. It ensures the final response adheres to the A2UI protocol, significantly improving st…
Automated Article Fact-Checking and Verification
This tool verifies factual claims within documents by extracting claims and cross-referencing them against live web search results. It outputs a structured JSON report detailing accuracy, false claims, and supporting evidence.
Persistent memory system for Claude Code
This tool provides persistent memory for Claude Code by running a background miner that extracts durable lessons from completed sessions. These memories are stored locally and automatically pre-load relevant context for subsequent sessions,…
General skill for enhancing code generation tasks
This skill provides general guidance and context for all coding tasks within an agent workflow. It ensures that generated code adheres to best practices and includes necessary developer commentary.
Remote Voice Communication for AI Assistants
This tool enables AI assistants to conduct voice conversations with remote clients (e.g., mobile apps) by connecting through the voicemode.dev cloud platform via MCP. It abstracts the need for local STT/TTS services, routing voice messages …
Zero-API-Key Web Search and Verification Tool
This tool provides a comprehensive, source-backed workflow for information retrieval, enabling multi-engine searching, deep page browsing with unlockers, and evidence-aware claim verification. It generates citation-ready reports by systemat…
Codebase Graph Indexing and Querying Tool
This utility indexes an entire codebase into a graph database, enabling advanced semantic search, call graph analysis, and relationship querying. It provides both a command-line interface and an MCP server for seamless integration into deve…
Semantic Layer Design Guide for AI Agents
This guide outlines best practices for designing semantic data layers, ensuring views are audience-centric and optimized for consumption by both human users and AI agents. It covers principles like starting from user questions, implementing…
Gemini CLI for Large Codebase Analysis
Initiates an interactive Gemini CLI session, providing a large 1M context window ideal for deep analysis of extensive codebases. It manages both new sessions and follow-up tasks, returning a task ID for immediate result checking.
Codex CLI for Deep Code Analysis and Reasoning
Initiates an interactive command-line session with OpenAI Codex, enabling deep reasoning, comprehensive code review, and detailed analysis based on user prompts. It manages both new sessions and follow-up continuations.
Structured planning and assertion generation skill
This skill mandates the creation of a structured test assertions file, guiding automated verification runners. It allows developers to categorize tests by data, pipeline, or agent layers, setting severity gates from warning to immediate abo…
CloudBase Agent SDK for Building AI Agents
This skill provides the CloudBase Agent SDK, enabling developers to build and deploy sophisticated AI agents using either TypeScript or Python. It manages the AG-UI protocol for streaming communication and supports integration with popular …
Client-side AI Model Integration for Web Apps
This skill facilitates calling various AI models directly from client-side web applications using the @cloudbase/js-sdk. It supports both text generation and streaming responses, making it ideal for modern SPAs and dashboards without requir…
Node.js Backend AI Model Integration Skill
This skill facilitates calling various AI models for text and image generation directly from Node.js backends, CloudRun, or serverless functions using the CloudBase SDK. It enforces a mandatory two-step preflight process to ensure resource …