一站式業務管理平台,助你掌控銷售線、提升成交率。
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Updated
Feb 21, 2026 - Python
一站式業務管理平台,助你掌控銷售線、提升成交率。
Turn MCP servers into composable CLIs.
Open-source AI agent skills library with downloadable skills for Claude Code, ChatGPT, and MCP workflows.
A calm reliability layer for AI agents: thoughtful execution, clear safety boundaries, reusable memory, and one-click installation.
Agent Workflow Has Personality
A modular AI-ready story-development skill engine built on Pixar’s 22 Rules, Story Spine, Hero’s Journey, South Park causality, and character-arc design.
workflow engine for building and executing agent pipelines
Welcome to the Agentic AI Mentorship Program! This repository is designed to help students and developers systematically evolve their AI agent development skills from foundational prompting techniques to advanced multi-agent systems through hands-on, build-style exercises and real-world scenarios.
Axiom — a Claude Code skill that turns a feature request into reviewed, committed code through a first-principles workflow. From premise to pull request.
An intelligent financial advisory system showcasing 5 key Gen AI capabilities: Structured Output/JSON Mode, RAG (Retrieval Augmented Generation), Embeddings, Function Calling, and LangGraph Agents. Analyzes spending patterns, provides personalized recommendations, and answers finance questions with evidence-based advice.
Agentic-AI-Workflows is a curated library of modular agentic pipelines featuring autonomous reasoning loops, tool-using agents, planners, memory systems, and multi-step automation flows to help you rapidly build powerful, real-world AI agent workflows.
Community hub for sharing and discovering well-tuned OpenClaw setups, skills, and agent workflows.
GraphRAG, MCP integration, orchestration, evaluation using Azure AI and Microsoft Agent Framework
Agent orchestration core: DAG execution, pipeline coordination, and workflow state/control for multi-agent runtimes.
In-memory file editing daemon for LLM agent workflows (experiment)
Lightweight Go workflow graph runtime for building, running, and serving AI agent workflows with LLMs, tools, routing, schedules and webhooks.
Orchestration runtime for AI agent workflows that preserves task-state fidelity, prevents reasoning drift, and reduces wasted computation in long-horizon pipelines.
Stop copy-pasting AI instructions. Maintain a personal registry of rules, workflows, and guidelines that you can mix and match across any project.
Local-first reliability snapshot for AI workflows — find retry burn, latency breaches, and what to cap next.
Control Google Jules from LLM agents with a reusable skill, API helper, and ops guides.
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