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Get Started Free →Execute plans task-by-task with two-stage review.
.claude/skills/hezaohezao-subagent-driven-development/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 26% | 0% |
| case-15 | ✗→✓ | ▲ Improved | 28% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 52% | 0% |
| case-17 | ✗→✓ | ▲ Improved | -2% | 0% |
Execute implementation plans task-by-task with systematic two-stage review between tasks.
Core principle: Fresh focus per task + two-stage review (spec then quality) = high quality, fast iteration.
> Poirot note: The original skill dispatches a fresh subagent per task via > delegate_task. Poirot has no subagents, so this version executes tasks > sequentially in the same context with a deliberate context-reset between > tasks. The two-stage review methodology is preserved.
plan skill or user requirements)Read the plan file. Extract ALL tasks with full text and context upfront:
read_file(".poirot/plans/feature-plan.md")Create a todo list with all tasks. Read the plan ONCE — don't re-read per task.
For EACH task in the plan:
Before starting each task, deliberately reset your focus:
Follow the task's steps exactly:
test-driven-development skill)bash("pytest tests/test_feature.py::test_name -v")
# ... implement ...
bash("pytest tests/ -q")
bash("git add -A && git commit -m 'feat: task N description'")After implementation, review against the plan:
If spec compliance fails: Fix before proceeding to Stage 2.
Review the committed diff for quality:
Use the requesting-code-review skill's checklist for thoroughness.
If quality review fails: Fix, re-commit, re-review.
Only after both reviews pass:
Implementation fails (tests don't pass):
systematic-debugging skill to find root causeReview fails (spec or quality):
Task is blocked (depends on unfinished work):
Re-read the task from the plan. Compare against what you actually built:
Task says: "Create User model with email and password_hash fields"
Check:
- [ ] User model exists
- [ ] Has email field
- [ ] Has password_hash field
- [ ] No extra fields not in the task
- [ ] Test exists for the modelCommon spec violations:
Review the git diff for the current task:
bash("git diff HEAD~1 HEAD")Check for security, correctness, and conventions. Use the requesting-code-review skill's security scan + self-review checklist.
you feel confused about which task you're on, re-read the plan + current task.
Each task is atomic.
it, you're just implementing sequentially.
not the entire task.
changes across tasks — if a later task breaks, you can't cleanly revert.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 7,950 | 6,965 | -12% | 1 | 1 | 0% | 270 | 1,608 | +496% | 0 | 0 | — |
case-02 | fail→fail | 44,497 | 6,509 | -85% | 1 | 1 | 0% | 8,408 | 1,558 | -81% | 0 | 0 | — |
case-03 | fail→fail | 6,183 | 7,439 | +20% | 1 | 1 | 0% | 173 | 1,519 | +778% | 0 | 0 | — |
case-04 | fail→pass | 10,486 | 4,875 | -54% | 1 | 1 | 0% | 1,565 | 2,048 | +31% | 0 | 0 | — |
case-05 | fail→pass | 15,274 | 9,353 | -39% | 1 | 1 | 0% | 1,987 | 2,505 | +26% | 0 | 0 | — |
case-06 | pass→pass | 9,429 | 4,465 | -53% | 1 | 1 | 0% | 1,084 | 1,877 | +73% | 0 | 0 | — |
case-07 | pass→pass | 7,560 | 6,218 | -18% | 1 | 1 | 0% | 1,001 | 1,954 | +95% | 0 | 0 | — |
case-08 | pass→pass | 8,539 | 6,490 | -24% | 1 | 1 | 0% | 1,336 | 2,343 | +75% | 0 | 0 | — |
case-09 | pass→pass | 3,732 | 3,490 | -6% | 1 | 1 | 0% | 535 | 1,591 | +197% | 0 | 0 | — |
case-10 | pass→pass | 28,660 | 6,179 | -78% | 1 | 1 | 0% | 1,642 | 2,254 | +37% | 0 | 0 | — |
case-11 | pass→pass | 7,316 | 5,429 | -26% | 1 | 1 | 0% | 1,013 | 2,139 | +111% | 0 | 0 | — |
case-12 | pass→pass | 9,369 | 5,824 | -38% | 1 | 1 | 0% | 1,282 | 1,948 | +52% | 0 | 0 | — |
case-13 | pass→pass | 9,220 | 6,426 | -30% | 1 | 1 | 0% | 1,233 | 2,125 | +72% | 0 | 0 | — |
case-14 | pass→pass | 13,841 | 6,733 | -51% | 1 | 1 | 0% | 1,943 | 2,295 | +18% | 0 | 0 | — |
case-15 | fail→pass | 12,569 | 5,576 | -56% | 1 | 1 | 0% | 1,694 | 2,163 | +28% | 0 | 0 | — |
case-16 | fail→pass | 9,371 | 5,887 | -37% | 1 | 1 | 0% | 1,396 | 2,117 | +52% | 0 | 0 | — |
case-17 | fail→pass | 13,965 | 4,075 | -71% | 1 | 1 | 0% | 1,772 | 1,730 | -2% | 0 | 0 | — |
case-18 | fail→fail | 13,836 | 7,703 | -44% | 1 | 1 | 0% | 2,132 | 2,420 | +14% | 0 | 0 | — |
case-19 | fail→fail | 4,602 | 5,054 | +10% | 1 | 1 | 0% | 175 | 1,494 | +754% | 0 | 0 | — |
case-20 | fail→fail | 5,171 | 5,887 | +14% | 1 | 1 | 0% | 180 | 1,525 | +747% | 0 | 0 | — |
case-21 | fail→fail | 21,112 | 24,893 | +18% | 1 | 1 | 0% | 1,376 | 1,450 | +5% | 0 | 0 | — |
case-22 | fail→fail | 2,967 | 38,003 | +1181% | 1 | 1 | 0% | 258 | 1,502 | +482% | 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, and 15 counted toward the lift figure. The other 7 produced results that are not comparable between the two arms, so they are excluded from the headline rather than averaged into it. The headline lift of +23 percentage points is the difference between those two pass rates over the 15 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.