cfn-error-management
Unified error management for AI agents: standardize capture, perform batch error processing, and maintain structured logs within the CFN Loop architecture.
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42 skills found
Unified error management for AI agents: standardize capture, perform batch error processing, and maintain structured logs within the CFN Loop architecture.
Operational hub for LLM system lifecycle, architecture, and deployment. Features include PEFT/LoRA fine-tuning, RAG pipelines, vLLM throughput optimization, automated drift detection, and CI/CD-integrated evaluation frameworks.
Quantum-resistant, self-learning version control and multi-agent coordination for AI developers and engineering teams.
Build autonomous, multi-step AI agents using Pydantic AI (Python) and Claude Agent SDK (Node.js/TypeScript).
Create and train custom reinforcement learning plugins for autonomous agents using 9 core algorithms including Decision Transformer and Actor-Critic for self-optimizing behavior.
Design and build AI agents for any domain. Master agentic patterns, loop-based orchestration, and tool use to enable autonomous behavior in business, research, and creative workflows.
A comprehensive guide and reference for building, orchestrating, and deploying AI agents using the Google Agent Development Kit (ADK).
Autonomous multi-agent LinkedIn system using LangGraph and Claude Opus 4.5 for trend research, content creation, voice profiling, and analytics-driven optimization.
Activates Prometheus planning mode for structured requirement gathering, codebase research, and task planning within Claude Code.
A microworld operating system for LLM-based agent living memory, transforming filesystems into navigable rooms and code into habitable worlds.
Build production-grade AI agents using LangGraph, Anthropic/OpenAI/vLLM, and structured outputs. Features streaming, A2A protocol, Pydantic validation, vector memory, and guardrails for resilient, multi-agent workflows.
A deep analysis tool for A-share markets generating interactive, FT-style HTML daily reports using multi-agent parallel architecture, AkShare data, and Tavily news.