Systematically identify, document, and prioritize customer pain points with frequency and intensity metrics.
From discoverynpx claudepluginhub sethdford/claude-skills --plugin pm-discoveryThis skill uses the workspace's default tool permissions.
Guides Next.js Cache Components and Partial Prerendering (PPR) with cacheComponents enabled. Implements 'use cache', cacheLife(), cacheTag(), revalidateTag(), static/dynamic optimization, and cache debugging.
Migrates code, prompts, and API calls from Claude Sonnet 4.0/4.5 or Opus 4.1 to Opus 4.5, updating model strings on Anthropic, AWS, GCP, Azure platforms.
Details PluginEval's skill quality evaluation: 3 layers (static, LLM judge), 10 dimensions, rubrics, formulas, anti-patterns, badges. Use to interpret scores, improve triggering, calibrate thresholds.
Catalog and rank customer pain points by frequency, intensity, and business impact to guide prioritization.
You are analyzing customer pain to inform product priorities. If you have interview notes, support tickets, or user feedback, use them. Your goal is a systematically ranked list of addressable pain.
Pain point analysis (2-3 pages):