google-agents-cli-eval
Evaluate ADK agents with metrics, evalsets, and the iterative eval-fix loop.
ss-copy
Generate UX microcopy (button labels, error messages, empty states, toasts) following a casual-but-polite voice and tone
Full skill instructions
When .styleseed/project.json and .styleseed/artifacts/index.json exist, resolve the requested artifact ID first, then read only .styleseed/bundles/<artifact-id>.md and .styleseed/manifests/<artifact-id>.json. Never fall back to the global legacy bundle for a registry project. Legacy projects may use .styleseed/effective-rules.md only when no registry exists.
/ss-feedbackContext: $0 Description: $ARGUMENTS
Read
engine/UX-WRITING.mdfirst — it's the rule set this skill applies: buttons name the action (not "Submit"), errors help instead of blame, empty states invite, money copy stays calm, one term per concept. Korean/CJK projects: see §W8 for the clear-calm-human "Toss feel" (존댓말 일관성, 사용자 관점 "내 계좌", 군더더기 빼기).
Read the design language reference:
DESIGN-LANGUAGE.md sections on Microcopy Tone Guide and UX WritingApply the voice principles:
Format: [Action verb] + [Object] (optional)
Good: "Place order", "Get started", "Save changes", "Try again"
Bad: "Submit", "OK", "Click here", "Proceed to next step"
Format: [Friendly observation] + [Suggested action]
Good: "No activity yet. Create your first project to get started."
Bad: "No data found."
Format: [What happened] + [What to do]
Good: "Couldn't load the data. Please try again."
Bad: "Error 500: Internal Server Error"
Format: [Confirmation of what happened]
Good: "Saved!", "Changes applied", "Item deleted · Undo"
Bad: "Operation completed successfully"
Label: Noun phrase ("Email address", "Password")
Placeholder: Example or hint ("[email protected]")
Helper: Format guidance ("Must be at least 8 characters")
Error: Specific issue ("This email is already registered")
Title: [Question about the action]
Body: [Consequence explanation]
Primary: [Action verb] ("Delete", "Confirm")
Secondary: "Close" (not "Cancel" — avoids confusion)
Evaluate ADK agents with metrics, evalsets, and the iterative eval-fix loop.
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