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kaifashraff
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agent-directory

Centralize discovery and evaluation of AI agent services via skill.md references.

Updated Mar 18, 2026
Search Tags:#workflow#integration#ai#agents#directory#services#discover
One-click install
npx skills add https://github.com/kaifashraff/jarvis-research --skill agent-directory-kaifashraff
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: agent-directory
Source: https://github.com/kaifashraff/jarvis-research/tree/main/skills/agent-directory
Command: npx skills add https://github.com/kaifashraff/jarvis-research --skill agent-directory-kaifashraff

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Centralizes discovery and evaluation of AI agent services.

Core Features & Use Cases

  • Discover and browse AI agent services and infrastructure.
  • Read and reference per-service skill.md to understand integration requirements.
  • Plan and compare toolchains to accelerate agent-powered workflow development.

Quick Start

Identify a service in ctxly.com and read its skill.md to begin integration.

Frequently Asked Questions about agent-directory

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

FAQPage Schema
How do I discover and compare AI agent services for workflow integration?▼

A central AI agent directory standardizes service discovery by providing a frontmatter-driven metadata schema to browse offerings, read per-service skill.md references, and compare toolchains for workflow integration.

What is a skill.md reference and how does it help evaluate agent services?▼

A skill.md reference is a per-service metadata document that outlines integration requirements, allowing teams to evaluate specific agent infrastructure and plan toolchain integration accurately.

Can I use this directory to plan integrations for agent-powered workflows?▼

Yes, teams building agent-powered workflows can use the directory to compare available services, read standardized metadata, and plan toolchain integrations to accelerate development.

Does this AI agent directory support a standardized metadata schema?▼

Yes, the directory supports a standardized frontmatter-driven metadata schema that centralizes service discovery and includes per-service skill references with optional scripts, references, and assets.

What's the best way to start integrating an AI agent service I found in the directory?▼

Identify a service in the central directory, read its skill.md reference to understand specific integration requirements, and use the provided optional scripts and assets to begin connecting the service.

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