skills/ravnhq/ai-toolkit/platform-backend

platform-backend

SKILL.md

Principles

  • Throw early with guard clauses — fail fast at the top of functions
  • Never swallow errors silently — log or propagate every failure

Rules

See rules index for detailed patterns.

Examples

Positive Trigger

User: "Design error handling and validation strategy for this API endpoint."

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

Non-Trigger

User: "Create a Tailwind design token scale."

Expected behavior: Do not prioritize platform-backend; 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-backend 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.
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Feb 12, 2026
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