moai-foundation-core
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
Discover reusable agent skills, browse implementation details, and find the right skill for your workflow.
163 skills found
Foundational architectural principles for MoAI-ADK, featuring TRUST 5, SPEC-First TDD, delegation patterns, and token-efficient agent orchestration workflows.
Framework for building multi-agent systems, AgentOS runtimes, and MCP-integrated AI agents.
A flexible template for developing and integrating custom AI agent skills within the Mini-Agent framework.
Handles large-scale tasks by automatically breaking them down into manageable, recursive sub-tasks to overcome context window limits and improve reasoning accuracy on large codebases and document sets.
Create professional technical diagrams and flowcharts using LaTeX TikZ with standardized Google Material and Anthropic-inspired design themes.
Parallel task orchestration CLI for AI workers using isolated git workspaces.
Privacy-preserving transactions on Base using Veil Cash. Deposit into shielded pools, perform ZK-based withdrawals/transfers, and manage private balances. Supports ETH/USDC via local ZK proofs and Bankr-signed deposits.
Build stateful AI agents on Cloudflare Workers using the Agents SDK. Features real-time WebSockets, persistent state management, scheduled background tasks, and native tool integration for production-ready deployments.
Chrome DevTools MCP server for AI-driven browser automation, testing, and debugging via Puppeteer. Features input automation, visual snapshots, performance tracing, and network inspection.
Autonomous improvement loop for codebase optimization. Automatically modifies, measures, and iterates on code based on a specific goal and mechanical metric.
Orchestrates multi-agent development workflows, managing task decomposition, requirement analysis, and quality assurance for complex software projects.
Foundational mental model and operational rules for using TraceMem to ensure secure, auditable, and compliant AI agent execution.