platform-frontend

- Start with local state — lift only when shared

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Install skill "platform-frontend" with this command: npx skills add ravnhq/ai-toolkit/ravnhq-ai-toolkit-platform-frontend

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

  • Identify whether the request clearly matches platform-frontend scope and triggers.

  • Apply the skill rules and referenced guidance to produce a concrete result.

  • Validate output quality against constraints; if gaps remain, refine once with explicit assumptions.

Source Transparency

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