Tag: ai-agents
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…
Screenpipe CLI for AI Automations
Manage scheduled AI automations and service connections such as Slack and Telegram via the Screenpipe command-line interface.
Cloudbase Agent TypeScript SDK
A TypeScript SDK for deploying AI agents as HTTP services via the AG-UI protocol. It includes adapters for LangGraph and LangChain, and facilitates building web and WeChat Mini Program clients.
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 …
Wren Engine CLI Agent Workflow
An agentic workflow for performing end-to-end data analysis using the Wren Engine CLI. It enables agents to query databases via an MDL semantic layer and manage semantic memory for context retrieval and query storage.
ThumbGate: Safety guardrails for AI agents
ThumbGate provides pre-action gates for AI coding agents by intercepting tool calls to prevent known mistakes. It captures structured feedback and automatically generates prevention rules from repeated failure patterns.
AI agent regression testing with EvalView
Detect regressions in AI agent behaviour by comparing current outputs and tool calls against golden baselines. It identifies changes in outputs, tool usage, and significant score drops.
Automated AI Agent Test Case Generation
Automate the creation of test suites for AI agents by generating cases from SKILL.md files, manual descriptions, or by capturing live agent interactions via a proxy.
OraClaw Graph Network Intelligence
Performs advanced network analysis on graphs using PageRank, Louvain community detection, and shortest-path algorithms to identify influential nodes, bottlenecks, and critical paths.
Financial AI Agent Engine for Sui
An engine for building conversational AI agents with integrated financial capabilities on the Sui blockchain. It leverages Vercel AI SDK v6 for orchestration and supports MCP integration, streaming, and permission-based tool execution.
AI Agent Cost Optimizer
Optimises AI agent token and credit usage by classifying task complexity and routing requests to the most cost-efficient model tier. It reduces API expenses by up to 75% through prompt quality evaluation, task splitting, and context pruning…
Persistent Memory for AI Coding Agents
Provides a persistent memory layer for AI coding agents, enabling semantic search, task checkpointing, and cross-session context retention. It operates locally using CPU-only embeddings and integrates with MCP-compatible clients.
ClawAIMail Email Infrastructure for AI Agents
An email infrastructure service that enables AI agents to create inboxes, send and receive real emails, and manage message threads via API or MCP server.
Maiat Protocol Agent Trust Layer
A trust layer for AI agents that utilises an XGBoost ML risk engine to verify agent identity and token safety. It provides endpoints for trust scoring, token forensics, and on-chain identity registration.
AI Agent and MCP Server Discovery
A CLI utility for discovering AI agents, MCP servers, and their configurations across various environments. It provides health checks, inventory listings, and path identification for installed agents and servers.
Semantic Layer Design Guide for AI Agents
Provides architectural principles for designing audience-centric semantic layers, ensuring that data views and measures are optimized for natural language querying by AI agents. It guides developers on moving beyond schema-mirroring to buil…
AI Agent Team Manager and Planner
This skill orchestrates complex coding goals by analyzing the codebase, decomposing the objective into actionable tasks, and submitting them to a task server. It manages task parameters including role assignment, priority, scope, and comple…
P-Link Payment Infrastructure for AI Agents
A payment infrastructure for humans, APIs, and AI agents that supports payment links, the x402 protocol, and an MCP server. It enables automated transactions via credit cards or Solana tokens, with all payments settled in USDC.
Structured Image Prompt Engineering Skill
Implements a structured five-section framework to transform vague user requests into precise, text-accurate prompts for models like GPT Image 2 and Flux. It uses specific rules for typography, layout preservation, and anti-slop to ensure hi…
CloudBase Run Backend Development
Provides instructions for deploying and managing backend services on CloudBase Run using Function or Container modes. It covers service initialisation, deployment, and debugging for long-lived connections and custom runtimes.
Cloudbase Agent TypeScript SDK
A TypeScript SDK for deploying AI agents as HTTP services using the AG-UI protocol. It provides adapters for LangGraph and LangChain, and supports building web and WeChat Mini Program clients.
CloudBase Agent SDK for AI Agents
An SDK for building and deploying AI agents using TypeScript or Python, implementing the AG-UI protocol for streaming communication. It supports integration with LangGraph, LangChain, and CrewAI via custom or built-in adapters.
Cloudbase Agent TypeScript SDK
A TypeScript SDK for deploying AI agents as HTTP services using the AG-UI protocol. It provides adapters for LangGraph and LangChain, and supports building web and WeChat Mini Program clients.
CloudBase Agent Python SDK
A Python SDK for building production-ready AI agent backends with support for LangGraph, CrewAI, and LlamaIndex. It enables streaming via the AG-UI protocol and integrates persistent memory, observability, and various toolsets including MCP…