Does this skill require external dependencies?

Yes, it requires the humaninloop_brain package (>= 0.1.0) and the hil-dag CLI to be installed and available on your PATH.

What is the primary use of the dag-operations skill?

It is used to manage and execute Directed Acyclic Graphs (DAGs) within multi-agent workflows, ensuring deterministic execution and state management.

How does it help with multi-agent coordination?

It provides a shared, structured state via a StrategyGraph JSON file that different agents can update and query, ensuring consistent coordination across different task stages.

What output format does it use?

All operations produce standardized JSON output to stdout, allowing Claude and other agents to reliably parse status, checks, and summaries.

Can it handle complex node dependencies?

Absolutely; it includes edge inference capabilities and topological sorting to handle intricate dependency structures automatically during the assembly phase.

DAG Infrastructure Operations

Name: DAG Infrastructure Operations
Author: deepeshBodh

bydeepeshBodh

•

Productivity & Workflow

Manages deterministic Directed Acyclic Graph (DAG) operations for multi-agent workflow execution and state tracking.

This skill provides a suite of deterministic tools for managing complex agentic workflows using Directed Acyclic Graphs (DAGs). It wraps the hil-dag CLI to enable Claude to assemble graphs with edge inference, validate structural integrity, perform topological sorting, and update node statuses. It is particularly useful for developers building multi-agent systems that require rigorous state management, analysis recording, and the ability to freeze and transition between workflow passes, ensuring reliable and repeatable AI-driven task execution.

Key Features

01Deterministic graph assembly with automatic edge inference and bootstrapping

02Structural validation and topological sorting for optimized execution order

03Standardized JSON output following the constitution pattern for agent reliability

04Automated pass freezing and transition logic for multi-stage workflows

05Real-time node status updates and comprehensive analysis recording

0624 GitHub stars

Use Cases

01Orchestrating multi-agent task sequences with complex dependencies

02Building self-correcting autonomous workflows that require state persistence

03Validating and managing hierarchical project plans within Claude Code

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add deepeshbodh/human-in-loop dag-operations

For use in Claude.ai and ChatGPT

Download Skill