/workflow-testing
Use when validating automation builds before launch or after significant
$ npx -y skills add gtmagents/gtm-agents --skill workflow-testing --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
- Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
- You can call itInvoke it directly when you want it.
- Slash command
/workflow-testing
Context preview
The summary Claude sees to decide when to auto-load this skill.
Use when validating automation builds before launch or after significant
SKILL.md
workflow-testing.SKILL.mdname: workflow-testing description: Use when validating automation builds before launch or after significant changes.
Workflow Testing & QA Skill
When to Use
- Any new automation or major revision prior to go-live.
- Regression testing after data, asset, or logic changes.
- Investigating deliverability, conversion, or routing anomalies.
Framework
1. **Unit Tests** – confirm each branch, wait step, and action path with seed contacts. 2. **Integration Tests** – verify webhook/API calls, CRM updates, enrichment, scoring. 3. **Content QA** – links, tracking, personalization tokens, accessibility, localization. 4. **Compliance** – consent, suppression, GDPR/CASL/CCPA rules, regional requirements. 5. **Performance** – throttle checks, concurrency, error handling, failover.
Checklist
- Seed list matrix (personas, stages, regions, consent flags).
- Device/browser testing for email/SMS/push rendering.
- Logging + alerting validation.
- Rollback and kill switches documented.
Templates
- QA evidence log (screenshot, recipient, status, owner).
- Incident runbook for automation failures.
- Release checklist referencing stakeholders.
Tips
- Automate regression tests via APIs or synthetic users.
- Store test data separately and purge regularly to avoid reporting noise.
- Use feature flags to stage rollouts before full scale.
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