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daniel-dihardja
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menuyukti-agents

Orchestrate LangGraph agent milestone runs with YAML frontmatter and Markdown bodies.

Updated Nov 16, 2025
Search Tags:#automation#workflow#fastapi#agents#langgraph#graph#milestone
One-click install
npx skills add https://github.com/daniel-dihardja/menuyukti --skill menuyukti-agents
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: menuyukti-agents
Source: https://github.com/daniel-dihardja/menuyukti/tree/main/.agents/skills/menuyukti-agents
Command: npx skills add https://github.com/daniel-dihardja/menuyukti --skill menuyukti-agents

SYSTEM DOCUMENTATION & REQUIREMENTS

LangGraph agents app (apps/agents): FastAPI, milestone run LangGraph (skill selection + ReAct + eval), milestone_run SKILL.md (YAML extra_tools for optional LangChain tools), graphql_post. Use when adding milestone tools, graphs, routers, or agents-side GraphQL clients.

What problem does it solve?

LangGraph enables automated orchestration of agent milestone runs, coordinating tools, graphs, and evaluators within MenuYukti's agent framework.

Core Features & Use Cases

  • Milestone orchestration: define and run ordered milestone steps with goals, criteria, and outputs.
  • Graph and tool integration: attach graphs, routers, and GraphQL clients to extend agent capabilities.
  • Streaming evaluation: observe progress and results in real time to guide decision making.

Quick Start

Run the milestone_run skill to initiate a sample agent milestone and observe the streaming results.

Frequently Asked Questions about menuyukti-agents

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I orchestrate LangGraph agent milestone runs in a FastAPI app?▼

LangGraph milestone run orchestration automates agent workflows by parsing YAML frontmatter and loading Markdown bodies to coordinate tools, graphs, and evaluators within your FastAPI application.

How does streaming evaluation work for LangGraph agent workflows?▼

Streaming evaluation for LangGraph agent workflows allows you to observe milestone run progress and results in real time, directly guiding decision making during automated orchestration.

Can I extend LangGraph milestone tools with optional LangChain tools?▼

Yes, you can extend LangGraph milestone tools by defining optional LangChain tools in the YAML extra_tools field within the milestone_run SKILL.md configuration file.

Do I need FastAPI to run LangGraph graphs and routers for milestone orchestration?▼

FastAPI provides the web framework to integrate milestone tools, graphs, routers, and agents-side GraphQL clients within a mono-repo, enabling automated streaming agent workflows.

What is the best way to integrate a GraphQL client into a LangGraph agent app?▼

The best way to integrate a GraphQL client into a LangGraph agent app is using the graphql_post tooling alongside milestone orchestration to extend agent capabilities within the mono-repo.

How do I define and run ordered milestone steps with goals and criteria?▼

You define and run ordered milestone steps with goals, criteria, and outputs by configuring milestone orchestration, which coordinates tools, graphs, and evaluators to execute automated agent runs.

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