skills-impeccable/i-shape/SKILL.md
Use when the user says: "shape this feature", "plan the UX", "design brief", "UX planning". Plan UX/UI for a feature before writing code via structured discovery interview.
npx skillsauth add NodeJSmith/Claudefiles i-shapeInstall this skill globally with one command. Works with Claude Code, Cursor, and Windsurf.
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Read ${CLAUDE_HOME:-~/.claude}/skills/i-frontend-design/SKILL.md for design principles, anti-patterns, and the Context Gathering Protocol. Follow the protocol before proceeding — if no design context exists yet, you MUST run /i-teach-impeccable first.
Shape the UX and UI for a feature before any code is written. This skill produces a design brief: a structured artifact that guides implementation through discovery, not guesswork.
Scope: Design planning only. This skill does NOT write code. It produces the thinking that makes code good.
Output: A design brief that can be handed off to any implementation skill.
Most AI-generated UIs fail not because of bad code, but because of skipped thinking. They jump to "here's a card grid" without asking "what is the user trying to accomplish?" This skill inverts that: understand deeply first, so implementation is precise.
Do NOT write any code or make any design decisions during this phase. Your only job is to understand the feature deeply enough to make excellent design decisions later.
Ask these questions in conversation, adapting based on answers. Don't dump them all at once; have a natural dialogue. STOP and call the AskUserQuestion tool to clarify.
After the interview, synthesize everything into a structured design brief. Present it to the user for confirmation before considering this skill complete.
1. Feature Summary (2-3 sentences) What this is, who it's for, what it needs to accomplish.
2. Primary User Action The single most important thing a user should do or understand here.
3. Design Direction How this should feel. What aesthetic approach fits. Reference the project's design context and explain how this feature should express it.
4. Layout Strategy High-level spatial approach: what gets emphasis, what's secondary, how information flows. Describe the visual hierarchy and rhythm, not specific CSS.
5. Key States List every state the feature needs: default, empty, loading, error, success, edge cases. For each, note what the user needs to see and feel.
6. Interaction Model How users interact with this feature. What happens on click, hover, scroll? What feedback do they get? What's the flow from entry to completion?
7. Content Requirements What copy, labels, empty state messages, error messages, and microcopy are needed. Note any dynamic content and its realistic ranges.
8. Recommended References Based on the brief, list which impeccable reference files would be most valuable during implementation (e.g., spatial-design.md for complex layouts, motion-design.md for animated features, interaction-design.md for form-heavy features).
9. Open Questions Anything unresolved that the implementer should resolve during build.
STOP and call the AskUserQuestion tool to clarify. Get explicit confirmation of the brief before finishing. If the user disagrees with any part, revisit the relevant discovery questions.
Once confirmed, the brief is complete. The user can now use it to guide any implementation approach.
Summarize in conversation:
/i-teach-impeccable if no design context exists yet, or the appropriate i-* implementation skill for the feature)development
Use when the user says: "humanize this", "unslop this", "de-slop this", "fix AI writing", "remove AI tells", "clean up AI prose". Edits prose to remove AI writing patterns and add human voice. Analyzes first, then asks how to fix. Prose complement to mine.clean-code.
development
Use when the user says: "why is this code like this", "why does this exist", "why was this built this way", "decision rationale", "what's the history behind". Decision archaeology — reconstructs historical rationale from evidence, not speculation.
development
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development
Use when the user says: 'create an issue', 'file an issue', 'open an issue', 'write an issue', 'new issue for this'. Codebase-aware issue creation — investigates the code to produce well-structured issues with acceptance criteria, affected areas, and enough detail for automated triage.