ecosystem-scan

name	ecosystem-scan
description	Use when researching Claude Code's current capabilities, competing frameworks, and ecosystem trends. Produces an opportunity report for Discovery.

Ecosystem Scan

Overview

Research the current state of the Claude Code ecosystem, identify new capabilities PAS could leverage, and survey competing approaches to agentic workflow frameworks.

When to Use

• In the Discovery phase when providing the Ecosystem Analyst's perspective
• When evaluating whether PAS should adopt a new pattern or capability

Process

1. Claude Code capabilities: Search for recent Claude Code updates, new features, API changes:
   • Check Claude Code documentation and changelogs
   • Identify features PAS doesn't leverage yet (e.g., new tool types, hooks improvements, plugin API changes)
   • Note deprecated features PAS currently relies on
2. Competing approaches: Search for other agentic workflow frameworks:
   • What abstractions do they use?
   • What do they do well that PAS doesn't?
   • What does PAS do better?
3. Ecosystem trends: What patterns are emerging in the broader AI agent space?
   • New orchestration patterns
   • Developer experience innovations
   • Community standards for agent configuration
4. Synthesize opportunities: For each finding, assess relevance to PAS's goal

Output Format

# Ecosystem Scan

## New Claude Code Capabilities
- {capability}: {what it is, when it shipped, how PAS could use it}

## Competitive Landscape
- {tool/framework}: {what they do well, what PAS does better, opportunity}

## Ecosystem Trends
- {trend}: {evidence, relevance to PAS}

## Opportunities
{Ranked list of actionable opportunities with estimated impact}

## Risks
{Things PAS depends on that might change or deprecate}

Quality Checks

• Claims about external tools cite specific sources (URLs, docs)
• Opportunities are assessed for PAS relevance, not just general interest
• Competitive analysis is fair — acknowledges competitor strengths honestly
• Risks are grounded in evidence, not speculation

Common Mistakes

(Populated by feedback over time)