Skill UI

A comprehensive, multi-phase workflow designed for building sophisticated AI systems. This guide covers everything from designing autonomous agents and implementing single-agent logic, to orchestrating complex multi-agent systems and integrating advanced tools and memory mechanisms. Ideal for developers building production-grade AI applications using frameworks like CrewAI and LangGraph.

Expert in designing and building autonomous AI agents. Masters tool use, memory systems, planning strategies, and multi-agent orchestration. Ensures graceful degradation and clear failure modes. Capable of agent architecture design, tool calling, memory management, and debugging complex agent systems.

A comprehensive, multi-phased workflow bundle designed for building production-grade AI and Machine Learning applications. It guides users through key stages, including AI application design, RAG implementation, autonomous agent development, robust ML pipelines, AI observability setup, and security hardening.

This skill enables independent auditing of AI agent, gateway, or automation workflow runs. It reconstructs events from traces, checkpoints, and tool calls to verify success claims without trusting self-reports. Users establish contracts, build claim ledgers, normalize evidence, rank witnesses, and assign verdicts like proven or contradicted. It ensures integrity in multi-step automation and separates autonomous success from human-assisted outcomes.

Design patterns for building autonomous coding agents, including tool calling APIs, permission systems, browser automation, and human-in-the-loop workflows. Inspired by Cline and OpenAI Codex, this skill provides guidance for creating efficient and safe AI agents.

Autonomous agents are AI systems capable of independent goal decomposition, action planning, tool execution, and self-correction without constant human guidance. This skill focuses on ensuring reliability in agent loops like ReAct and Plan-Execute, managing context usage, and handling compounding error rates. It emphasizes building constrained, domain-specific agents for production reliability rather than unrestricted autonomy.

A comprehensive toolkit for building production-grade AI agents focused on crypto business development. This skill guides users through the entire token listing lifecycle: autonomously discovering promising assets across multiple chains, applying a weighted 100-point scoring model, verifying safety via advanced wallet forensics, and managing outreach pipelines with necessary human oversight and LLM cascade patterns.

Run autonomous multi-step research with Google's Gemini Deep Research Agent. Start a query, stream or poll progress, and collect a cited report for market analysis, literature reviews, and competitive scans.

Trackio is a library for logging and visualizing machine learning training metrics. It supports Python API for logging metrics and firing alerts during training, and CLI for retrieving data. Metrics sync to Hugging Face Spaces for real-time dashboards. Ideal for autonomous ML workflows and experiment management.

Master the LangChain framework to build sophisticated LLM applications. Learn to implement autonomous agents, complex chains, memory management, and tool integration. Covers document processing pipelines, callbacks, and production-grade architecture patterns like RAG for enterprise AI solutions.

Loki Mode is a multi-agent autonomous startup system designed to execute workflows from PRD to production without human intervention. It integrates research-enhanced AI models including OpenAI SDK, DeepMind, Anthropic, and AWS Bedrock. This skill ensures zero human involvement in the deployment process while maintaining strict constraints on dependencies and response times.

Nika is an open-source Rust engine that captures repeatable AI tasks as checkable YAML workflow files. It audits workflows before token spending, enforces strict cost budgets, and executes against local or cloud providers. Ideal for daily digests, ETL, and multi-step pipelines requiring audit trails and deterministic execution without autonomous coding capabilities.