devflow:guide

Identify DevFlow primitives and metadata from the plugin's skills directory.

Updated Aug 23, 2026
One-click install
npx skills add https://github.com/codingthefuturewithai/claude-code-primitives --skill devflow-guide
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: devflow:guide
Source: https://github.com/codingthefuturewithai/claude-code-primitives/tree/main/skills/devflow-guide
Command: npx skills add https://github.com/codingthefuturewithai/claude-code-primitives --skill devflow-guide

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Streamlines discovery of DevFlow plugin primitives by enumerating all skills, sub-agents, hooks, and commands with metadata and usage guidance.

Core Features & Use Cases

  • Automated discovery of plugin primitives across the repository, including names, descriptions, categories, and agent status.
  • Structured grouping by category, plus a concise summary of totals, dependencies, and components for loading.
  • Real-world onboarding and integration use-case support by providing a ready reference for developers and product teams.

Quick Start

Run the discovery script and review the generated JSON output to understand all primitives and their relationships.

Frequently Asked Questions about devflow:guide

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

FAQPage Schema
How do I discover all DevFlow primitives and their metadata in a repository?

DevFlow primitive discovery is performed by identifying all skills, sub-agents, hooks, and commands from the repository. The process scopes the plugin's skills directory to produce categorized groupings and a structured metadata summary for loading.

What metadata fields are generated when discovering DevFlow skills and hooks?

DevFlow discovery generates structured metadata fields including name, description, category, is_subagent, dependencies, components, and summary. These concise fields are structured specifically for vector embeddings to facilitate rapid loading.

How do I enumerate plugin commands and hooks for DevFlow onboarding?

Enumerating plugin commands and hooks involves running an automated discovery script across the repository. This produces structured groupings by category and a concise summary of totals, dependencies, and components to support developer onboarding.

Can I use the discovered DevFlow primitive metadata for vector embeddings?

Yes, the discovered DevFlow primitive metadata is structured for vector embeddings. It provides concise metadata fields including name, description, category, dependencies, and summary to ensure accurate indexing and retrieval.

Does DevFlow discovery identify sub-agents separately from standard skills?

Yes, DevFlow discovery identifies sub-agents separately from standard skills. The process includes an is_subagent metadata field in its structured output to distinguish agent status alongside categorized names and descriptions.

What is the best way to group DevFlow skills by category for integration?

Grouping DevFlow skills by category is best handled through automated discovery scripts that scope the plugin's directory. This produces categorized groupings with a concise summary of dependencies and components for integration.