platform-frontend

name	platform-frontend
description	Framework-agnostic frontend architecture — state management, components, data fetching. Use when building any web frontend, choosing state patterns, or structuring UI code.
allowed-tools	["Bash","Read","Write","Edit","Grep","Glob","Agent"]
metadata	{"category":"frontend","extends":"core-coding-standards","tags":["frontend","ui","components","state"],"status":"ready","version":5}

Principles

• Start with local state — lift only when shared
• Organize code by feature, not by type
• Use named exports for better refactoring and searchability
• Never use barrel files (index.ts re-exports) — they break tree-shaking and slow builds
• Measure before memoizing — don't optimize what isn't slow

Rules

See rules index for detailed patterns.

Examples

Positive Trigger

User: "Choose state boundaries and data-fetching patterns for this web app."

Expected behavior: Use platform-frontend guidance, follow its workflow, and return actionable output.

Non-Trigger

User: "Write a Swift actor for thread-safe cache access."

Expected behavior: Do not prioritize platform-frontend; choose a more relevant skill or proceed without it.

Troubleshooting

Skill Does Not Trigger

• Error: The skill is not selected when expected.
• Cause: Request wording does not clearly match the description trigger conditions.
• Solution: Rephrase with explicit domain/task keywords from the description and retry.

Guidance Conflicts With Another Skill

• Error: Instructions from multiple skills conflict in one task.
• Cause: Overlapping scope across loaded skills.
• Solution: State which skill is authoritative for the current step and apply that workflow first.

Output Is Too Generic

• Error: Result lacks concrete, actionable detail.
• Cause: Task input omitted context, constraints, or target format.
• Solution: Add specific constraints (environment, scope, format, success criteria) and rerun.

Workflow

1. Identify whether the request clearly matches platform-frontend scope and triggers.
2. Apply the skill rules and referenced guidance to produce a concrete result.
3. Validate output quality against constraints; if gaps remain, refine once with explicit assumptions.