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Design closed-loop prompts with Request-Validate-Resolve structure for reliable agentic workflows. Use when creating self-validating agents, adding feedback loops, or improving agent reliability through verification.
Architect-level guidance, workflows, and scripts for building agentic coding systems with OpenAI Codex. Use for Codex SDK (@openai/codex-sdk) threads + streaming JSONL events; Codex CLI automation (codex exec, output schema, JSONL, resume); MCP server usage (codex mcp-server) and dynamic tool integration; multi-agent orchestration with OpenAI Agents SDK (ha...
This skill provides Cohere LangGraph guided best practices for building and memory-aware ReAct agents with multi-tool workflows.
This skill helps you build safe, vision-based desktop automation agents that perceive screens, reason about actions, and execute actions within sandboxed
This skill helps you orchestrate teams of autonomous agents for complex tasks with memory, roles, and production-ready workflows.
This skill helps you orchestrate teams of autonomous agents for collaborative, memory-enabled workflows with role-based tasks and observable outcomes.
This skill helps you design scalable design systems by managing tokens, theming, and component architectures across platforms.
Guide AI agents through Dify tool plugin development with mandatory documentation loading and direct CLI usage. Use when creating Dify tool plugins or extending Dify with custom tools.
This skill helps you design, deploy, and manage AI agents on DigitalOcean Gradient AI with GPU-backed workflows and knowledge bases.
This skill provides a practical, step-by-step guide to building LangGraph agents with ReAct, state graphs, and tool integrations, boosting implementation speed.
This skill optimizes complex agentic systems with reflective feedback and Pareto-based search to improve multi-step agents using textual traces.
AI agents: autonomous agents, multi-agent systems, LangChain, LlamaIndex, MCP.
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