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agent-infrastructure-expert

Map and govern Cogni's AI-agent infrastructure across the graph lifecycle.

4|5|Updated Nov 5, 2025
Search Tags:#architecture#deployment#observability#infrastructure#langgraph#ci-cd#graph-execution
One-click install
npx skills add https://github.com/cogni-dao/cogni --skill agent-infrastructure-expert
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-infrastructure-expert
Source: https://github.com/cogni-dao/cogni/tree/main/.claude/skills/agent-infrastructure-expert
Command: npx skills add https://github.com/cogni-dao/cogni --skill agent-infrastructure-expert

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Authoritative map of Cogni's AI-agent infrastructure that guides how LangGraph graphs are executed, deployed, and observed in production, serving as the single source of truth for infra decisions.

Core Features & Use Cases

  • Defines the four planes (Author, Execute, Orchestrate + Ship, Evaluate) to structure production-grade graph infrastructure.
  • Provides governance on where graphs run, how they are billed, how they are observed, and how the app image and Temporal worker interact.
  • Points to canonical docs and scorecards (agent-infrastructure-scorecard) to track status, alignment, and doc DRY/drift.

Quick Start

Explain the production graph flow and identify the canonical infra specs to consult when debugging or evolving the graph.

Frequently Asked Questions about agent-infrastructure-expert

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

FAQPage Schema
How do I govern LangGraph deployments for production-grade execution?▼

Govern LangGraph deployments by mapping the four infrastructure planes: Author, Execute, Orchestrate + Ship, and Evaluate, ensuring durably orchestrated and observed production execution.

What is the production flow for orchestrating AI-agent infrastructure with Temporal triggers?▼

Production flow for AI-agent infrastructure involves routing graph execution through Temporal triggers and app images, structuring the lifecycle from authoring to server orchestration and evaluation.

How do I maintain a single source of truth for AI-agent infrastructure documentation?▼

Maintain a single source of truth for AI-agent infrastructure by applying the agent-infrastructure-scorecard to track alignment, status, and documentation drift across all deployment decisions.

Does graph execution observability differ between InProc and Server deployments?▼

Graph execution observability differs between InProc and Server deployments based on where graphs run, how they are billed, and how the app image and Temporal worker interact within the infrastructure.

What's the best way to structure CI-CD pipelines for graph infrastructure?▼

Structure CI-CD pipelines for graph infrastructure by separating the Orchestrate and Ship planes, defining stable rules for deployment pipelines that ensure observed and durably orchestrated graph workflows.

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