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Get Started Free →Post-flight validation for Output SDK workflow operations. Systematic verification of step completion, convention compliance, quality validation, and deliverable verification.
.claude/skills/growthxai-output-meta-post-flight/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 67% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 18% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 20% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 159% | 0% |
| case-08 | ✗→✓ | ▲ Improved | 11% | 0% |
After completing all steps in the process_flow, systematically verify:
Verify the following conventions were followed:
.js extension for ES modulesexport * from './path/to/workflow.js';Output.object() defined in types.ts, not inline in step functions.describe() only -- no .min()/.max()/.length() on numbers or arraysOutput.object() is usedgenerateText/Agent variables are string | number | boolean only -- no arrays or objectsoutput-dev-code-style)let declarations -- all variables use constfn( x ) not fn(x)Ensure the workflow plan includes:
Confirm the plan is ready for implementation:
Verify these deliverables were created or updated:
Ensure the following guidance is provided:
If any issues were encountered:
Before marking the workflow planning complete:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 13,925 | 13,775 | -1% | 1 | 1 | 0% | 2,039 | 3,402 | +67% | 0 | 0 | — |
case-02 | fail→pass | 20,258 | 17,893 | -12% | 1 | 1 | 0% | 3,429 | 4,046 | +18% | 0 | 0 | — |
case-03 | fail→pass | 17,247 | 11,798 | -32% | 1 | 1 | 0% | 2,536 | 3,035 | +20% | 0 | 0 | — |
case-04 | fail→fail | 10,608 | 7,679 | -28% | 1 | 1 | 0% | 1,184 | 2,131 | +80% | 0 | 0 | — |
case-05 | fail→pass | 13,292 | 28,488 | +114% | 1 | 1 | 0% | 2,488 | 6,456 | +159% | 0 | 0 | — |
case-06 | pass→pass | 6,954 | 7,359 | +6% | 1 | 1 | 0% | 1,255 | 2,360 | +88% | 0 | 0 | — |
case-07 | pass→pass | 13,431 | 7,472 | -44% | 1 | 1 | 0% | 2,173 | 2,295 | +6% | 0 | 0 | — |
case-08 | fail→pass | 14,563 | 9,116 | -37% | 1 | 1 | 0% | 2,246 | 2,497 | +11% | 0 | 0 | — |
case-09 | fail→pass | 13,072 | 3,225 | -75% | 1 | 1 | 0% | 1,911 | 1,479 | -23% | 0 | 0 | — |
case-10 | fail→pass | 17,805 | 7,884 | -56% | 1 | 1 | 0% | 2,899 | 2,280 | -21% | 0 | 0 | — |
case-11 | pass→pass | 8,596 | 5,476 | -36% | 1 | 1 | 0% | 1,352 | 1,888 | +40% | 0 | 0 | — |
case-12 | fail→pass | 14,390 | 7,587 | -47% | 1 | 1 | 0% | 2,256 | 2,143 | -5% | 0 | 0 | — |
case-13 | fail→pass | 8,235 | 4,796 | -42% | 1 | 1 | 0% | 1,247 | 1,709 | +37% | 0 | 0 | — |
case-14 | fail→pass | 8,701 | 4,460 | -49% | 1 | 1 | 0% | 1,299 | 1,718 | +32% | 0 | 0 | — |
case-15 | pass→pass | 10,958 | 3,875 | -65% | 1 | 1 | 0% | 1,655 | 1,594 | -4% | 0 | 0 | — |
case-16 | pass→pass | 11,853 | 3,401 | -71% | 1 | 1 | 0% | 1,863 | 1,523 | -18% | 0 | 0 | — |
case-17 | fail→pass | 14,465 | 6,024 | -58% | 1 | 1 | 0% | 2,271 | 1,970 | -13% | 0 | 0 | — |
case-18 | pass→pass | 13,339 | 14,072 | +5% | 1 | 1 | 0% | 2,171 | 3,529 | +63% | 0 | 0 | — |
case-19 | fail→pass | 16,054 | 13,665 | -15% | 1 | 1 | 0% | 2,468 | 3,374 | +37% | 0 | 0 | — |
case-20 | fail→pass | 10,954 | 5,164 | -53% | 1 | 1 | 0% | 1,753 | 1,832 | +5% | 0 | 0 | — |
case-21 | fail→pass | 15,415 | 20,085 | +30% | 1 | 1 | 0% | 2,348 | 4,368 | +86% | 0 | 0 | — |
case-22 | pass→pass | 16,692 | 15,838 | -5% | 1 | 1 | 0% | 2,625 | 3,906 | +49% | 0 | 0 | — |
DecimalAI ran this skill against gemini-3.6-flash twice over the same eval suite — once with the skill loaded and once without — and compared the two runs case by case. 22 cases were attempted. The headline lift of +64 percentage points is the difference between those two pass rates over the 22 comparable cases.
Without the skill loaded, the model failed this case. With it loaded, the same prompt on the same model passed. This is one improved case from the latest verified run; every case, including any that regressed, is in the table above.
Other measured skills in the registry, with their headline benchmark lift.