agent-opportunity-detector

Detect agentic opportunities in workflows, specs, and features.

1|Updated Mar 1, 2026
One-click install
npx skills add https://github.com/brianmontero18/astral --skill agent-opportunity-detector
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: agent-opportunity-detector
Source: https://github.com/brianmontero18/astral/tree/main/.claude/skills/agent-opportunity-detector
Command: npx skills add https://github.com/brianmontero18/astral --skill agent-opportunity-detector

SYSTEM DOCUMENTATION & REQUIREMENTS

What problem does it solve?

Detects agentic opportunities in workflows, specs, and features, enabling teams to identify friction points where AI agents can improve outcomes.

Core Features & Use Cases

  • Quick Scan to identify friction signals across workflows, specs, and features.
  • Deep Analysis to generate Opportunity Cards with structured recommendations.
  • Playbook Capture to document expert decision processes for agent-driven automation.
  • Recommends next steps such as PoCs or playbook captures to democratize expertise.

Quick Start

Provide a workflow, spec, or feature description and I will start a quick scan to identify agentic opportunities.

Frequently Asked Questions about agent-opportunity-detector

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

FAQPage Schema
How do I identify agentic automation opportunities in my existing workflows?

Identify agentic automation opportunities by running a Quick Scan on your workflow, spec, or feature descriptions to detect friction signals where AI agents can improve outcomes. The scan generates a structured matrix highlighting specific areas suitable for agent intervention.

What is playbook capture for codifying expert decision processes?

Playbook capture is the process of documenting expert decision workflows into reusable formats for agent-driven automation. It provides a guided workflow to translate manual expertise into structured playbooks that AI agents can follow to automate complex tasks.

How do I conduct a deep analysis of workflow friction points for AI integration?

Conduct a deep analysis of workflow friction points by evaluating your specs and features to generate Opportunity Cards. These cards provide structured recommendations and next steps, such as Proof of Concept implementations or playbook captures, to address identified friction.

Can I use this to analyze both product specs and operational workflows for AI automation?

Yes, you can analyze both product specs and operational workflows for AI automation. The detection mechanism evaluates friction signals across workflows, specs, and features uniformly to find where agentic automation can improve outcomes.

What is the best way to translate expert knowledge into reusable automation playbooks?

The best way to translate expert knowledge into reusable automation playbooks is using a guided capture workflow to document decision processes. This codifies expertise into structured formats, enabling AI agents to replicate and democratize specialized problem-solving.