Support ticket to eval
Skill alexzhu0/agent-ready-skills/skills/support-ticket-to-eval
Ten practical AI-agent skills for turning messy work into clear context, evals, reviews, and launch-ready artifacts.
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Use when turning support tickets, user complaints, helpdesk transcripts, or failed assistant responses into reusable eval cases with expected behavior, assertions, and failure modes.
SKILL.md
1.5 KB, as published. Nobody here has run it
Support Ticket To Eval
Purpose
Turn real support pain into repeatable eval cases for product, support, or agent behavior.
Fit
- Use when support evidence should become a reusable regression or model-behavior eval.
- Do not use when the ticket only needs a one-off human reply and no future check is useful.
Inputs
- Support ticket, complaint, chat transcript, or failed assistant output.
- Product area, user role, and known expected behavior if available.
- Any sensitive details that must be redacted.
Workflow
- Redact private data while preserving the failure pattern.
- Identify the user goal, current behavior, expected behavior, and severity.
- Convert the case into a minimal input that reproduces the behavior.
- Write assertions that can be checked by a human or automated judge.
- Record variants that should be tested later.
Output
Produce Markdown with:
- Eval Scenario
- Source Evidence
- Test Input
- Expected Behavior
- Failure Mode
- Assertions
- Variants
Validation
- The eval preserves the original user pain without exposing secrets.
- Assertions are concrete enough to judge.
- Expected behavior is not invented when product intent is unknown.
- Severity is justified by evidence.
- The case can be reused without the full ticket context.