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Get Started Free →Decompose a hard or multi-part task into independently checkable pieces with explicit verification gates and risk-weighted ordering. Use when planning corridor-sized work, writing lane briefs for subagents or Codex, or whenever a task is too large to verify as a whole.
.claude/skills/happier-dev-decompose-gates/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 101% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -5% | 0% |
| case-10 | ✗→✓ | ▲ Improved | 51% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 44% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 14% | 0% |
Turn a hard task into pieces that can each pass or fail on their own, ordered so the riskiest assumption is tested first. Full doctrine: docs/agent-craft.md §2–§3.
For compatibility-sensitive work, use .agents/skills/happier-compatibility and decompose the transition into independently falsifiable prepare/read, activate/write, migrate/backfill, mixed-version or rollback, and contract/removal claims only where those phases are reachable. Every such claim names its exact released/predecessor baseline and old/new producer-consumer direction; do not create empty phases for an additive or internal-only change.
Supersedes:, Extends:, or Consumes: relationship. A dependent lane consumes a typed contract; it does not repair the owning seam from the wrong program.AGENTS.md → "Adversarial review and handoff".A short plan listing: the pieces as claims, each with its deciding check; the named risk spots with their specific verifications; the ordering and why; the inter-piece assumptions.
The monolithic change where something works but you cannot say which part, and something fails but you cannot say where.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | pass→fail | 41,759 | 26,512 | -37% | 1 | 1 | 0% | 6,016 | 4,556 | -24% | 0 | 0 | — |
case-02 | fail→fail | 19,744 | 24,743 | +25% | 1 | 1 | 0% | 2,353 | 4,336 | +84% | 0 | 0 | — |
case-08 | fail→pass | 13,832 | 17,320 | +25% | 1 | 1 | 0% | 1,467 | 2,955 | +101% | 0 | 0 | — |
case-03 | fail→pass | 32,541 | 22,979 | -29% | 1 | 1 | 0% | 4,637 | 4,391 | -5% | 0 | 0 | — |
case-04 | fail→fail | 12,095 | 12,153 | +0% | 1 | 1 | 0% | 1,246 | 2,156 | +73% | 0 | 0 | — |
case-05 | pass→fail | 18,206 | 24,180 | +33% | 1 | 1 | 0% | 2,144 | 4,251 | +98% | 0 | 0 | — |
case-06 | pass→fail | 114,781 | 35,075 | -69% | 1 | 1 | 0% | 2,601 | 5,841 | +125% | 0 | 0 | — |
case-07 | pass→pass | 19,098 | 17,676 | -7% | 1 | 1 | 0% | 2,246 | 3,162 | +41% | 0 | 0 | — |
case-09 | pass→pass | 14,713 | 17,916 | +22% | 1 | 1 | 0% | 1,573 | 3,299 | +110% | 0 | 0 | — |
case-10 | fail→pass | 17,716 | 17,710 | -0% | 1 | 1 | 0% | 2,096 | 3,175 | +51% | 0 | 0 | — |
case-11 | pass→pass | 14,915 | 10,609 | -29% | 1 | 1 | 0% | 1,633 | 2,069 | +27% | 0 | 0 | — |
case-12 | fail→fail | 21,583 | 21,809 | +1% | 1 | 1 | 0% | 2,921 | 3,877 | +33% | 0 | 0 | — |
case-13 | fail→fail | 19,547 | 13,132 | -33% | 1 | 1 | 0% | 2,341 | 2,426 | +4% | 0 | 0 | — |
case-14 | fail→pass | 15,932 | 14,208 | -11% | 1 | 1 | 0% | 1,778 | 2,553 | +44% | 0 | 0 | — |
case-15 | fail→pass | 15,715 | 10,407 | -34% | 1 | 1 | 0% | 1,798 | 2,050 | +14% | 0 | 0 | — |
case-16 | pass→pass | 20,586 | 16,266 | -21% | 1 | 1 | 0% | 2,527 | 3,053 | +21% | 0 | 0 | — |
case-17 | fail→fail | 12,118 | 7,920 | -35% | 1 | 1 | 0% | 1,074 | 1,625 | +51% | 0 | 0 | — |
case-18 | fail→pass | 19,066 | 20,065 | +5% | 1 | 1 | 0% | 2,097 | 3,438 | +64% | 0 | 0 | — |
case-19 | pass→pass | 21,033 | 9,403 | -55% | 1 | 1 | 0% | 2,316 | 1,857 | -20% | 0 | 0 | — |
case-20 | fail→pass | 19,964 | 14,628 | -27% | 1 | 1 | 0% | 2,424 | 2,777 | +15% | 0 | 0 | — |
case-21 | pass→fail | 14,370 | 8,872 | -38% | 1 | 1 | 0% | 1,321 | 1,807 | +37% | 0 | 0 | — |
case-22 | fail→fail | 15,421 | 9,734 | -37% | 1 | 1 | 0% | 1,649 | 1,910 | +16% | 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 +14 percentage points is the difference between those two pass rates over the 22 comparable cases. 5 cases got worse with the skill loaded, and they are included in that figure.
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.
| Model | Method | Date | Lift |
|---|---|---|---|
| gemini-3.6-flash | verified | 9/2/2026 | +18% |
| gemini-3.6-flash | verified | 8/13/2026 | +45% |
Other measured skills in the registry, with their headline benchmark lift.