Results for “agent-building”

Guides building original LangGraph agents for Warden Protocol, from setup to deployment and publishing in Warden Studio.

Watch, audit, and fix another agent's work by reconstructing the original request, inspecting evidence, and reporting gaps.

Installs the LangChain.js library and points to official documentation for building agents and MCP servers.

Uses two independent review agents to verify output quality, requiring both to pass before shipping.

LangChain LLM application framework with chains, agents, RAG, and memory for building AI-powered applications

Vercel AI platform guidance covering AI SDK, AI Gateway, Vercel Agent, and MCP. Use when building AI-powered or agentic workloads on Vercel.

Provides guidance for automatically evolving and optimizing AI agents across any domain using LLM-driven evolution algorithms. Use when building self-improving agents, optimizing agent prompts and skills against benchmarks, or implementing automated agent evaluation loops.

Use when link building strategies, authority management, backlink acquisition, or link profile optimization is needed. This agent specializes in link building and authority management within the ContentForge AI ecosystem.

Provides guidelines for building with Botpress's Agent Development Kit (ADK), covering project structure, primitives, CLI commands, and documentation lookups.

Provides guidelines for building with Botpress's Agent Development Kit (ADK), covering primitives, project structure, CLI usage, and documentation lookups.

Browse available agent personas and compose ad-hoc teams of up to 5 agents to work in parallel on a task, then synthesize their results.

Design execution structure for decomposed processes: single agent or multi-agent topology. Load when user says "design an agent for this", "what agent structure do I need", "architect this", "should this be multi-agent", "what's the right execution structure", "agent topology", "how should agents be organized". Takes process-decomposer output as primary input. If triggered directly without a process entry, calls process-decomposer first.

Interactive menu for browsing and composing agent teams on demand, supporting flat or domain-subdirectory agent collections.

Composes ad-hoc teams of AI agents from local markdown personas and dispatches them in parallel on a task, then synthesizes their outputs.

Interactive agent picker for composing and dispatching parallel teams

Interactive agent picker for composing and dispatching parallel teams

Interactive agent picker for composing and dispatching parallel teams

LangGraph framework for building stateful, multi-agent AI applications with cyclical workflows, human-in-the-loop patterns, and persistent checkpointing.

Interactive agent picker for composing and dispatching parallel teams

Agent Designer - Multi-Agent System Architecture

Orchestrates AI/ML workflows for building LLM applications, RAG systems, AI agents, and ML pipelines with observability and security.

Agent skill for architecture - invoke with $agent-architecture

Design and build hosted agent infrastructure with sandboxed execution, warm pools, session persistence, and multiplayer collaboration.

Agent skill for agent - invoke with $agent-agent

Scaffold and develop AI agents using OpenAI Agents SDK patterns, covering agent definition, tools, guardrails, handoffs, context, RAG pipelines, streaming, API routes, testing, and debugging.

Meta-agent for creating new custom agents, skills, and MCP integrations. Expert in agent design, MCP development, skill architecture, and rapid prototyping. Activate on 'create agent', 'new skill', 'MCP server', 'custom tool', 'agent design'. NOT for using existing agents (invoke them directly), general coding (use language-specific skills), or infrastructure setup (use deployment-engineer).

Build, configure, and integrate Business Central agents using the AI Development Toolkit and Agent SDK. Triggers on mentions of Agent SDK, Agent Metadata Provider, IAgentFactory, IAgentMetadata, IAgentTaskExecution, ConfigurationDialog, Agent Task Builder, Agent Session, Copilot Capability, agent instructions, or agent setup in BC context.

Design multi-agent system architectures, generate tool schemas for Anthropic and OpenAI formats, and evaluate execution logs for cost, latency, and failure bottlenecks.

Build evaluation frameworks for agent systems, covering rubric design, test set creation, and automated evaluation pipelines.

Build, deploy, and manage continuous AI agents using a visual workflow editor or development toolkit.