qa
SkillRead-only automated QA sweep of a deployed stardust site on AEM Edge Delivery Services — validates routing, content fidelity vs the source capture, template conformance, rendered integrity (geometry, JS errors, broken images), visual regression vs baselines, metadata/SEO/JSON-LD, link integrity, acc
Install
git clone https://github.com/adobe/skills.git ~/.claude/skills/qaWhat is qa?
Read-only automated QA sweep of a deployed stardust site on AEM Edge Delivery Services — validates routing, content fidelity vs the source capture, template conformance, rendered integrity (geometry, JS errors, broken images), visual regression vs baselines, metadata/SEO/JSON-LD, link integrity, accessibility (axe), and performance budgets, then emits a findings report with an allowlist for documented non-defects. Finds issues; never fixes them. Use when the user asks to "QA the site", "validate the migration", "check the live site for issues", "run a QA sweep/regression check", or invokes /stardust:qa <live-url>.
What this can do
Capabilities declared in this component's own frontmatter — not inferred.
Inherit all session tools
Declares no tool restrictions — inherits every session tool
~155 tokens of context used while enabled, before you invoke anything
Trust
87/100 · Excellent2 factors scored below maximum
Documentation
README · ~13 min readAdobe Skills for AI Coding Agents
Repository of Adobe skills for AI coding agents.
Installation
Claude Code Plugins
/plugin marketplace add adobe/skills
/plugin install adobe-analytics@adobe-skills
/plugin install adobe-cja@adobe-skills
/plugin install aem-design@adobe-skills
/plugin install aem-edge-delivery-services@adobe-skills
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All hooks →PostToolUse (mcp__.*__find_columns|mcp__.*__get_dataset_columns|mcp__.*__get_dataset)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.
PreToolUse (mcp__.*__run_query)
Pre-query column validation via schema caching. Catches unknown column errors before they hit the API by building a per-session schema cache from find_columns / get_dataset_columns / get_dataset results.