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Get Started Free →Use when planning features, organizing sprints, or syncing work with Trello boards.
.claude/skills/aiskillstore-planning-with-trello/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-04 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-13 | ✗→✓ | ▲ Improved | -51% | 0% |
| case-01 | ✗→✓ | ▲ Improved | -22% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -70% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -2% | 0% |
[Stack] Task NameExamples: [CLI] Add MCP server, [Docs] Update README
| Size | Description | Complexity | |------|-------------|------------| | S | Few hours | 0-25 | | M | Half-full day | 26-50 | | L | Multiple days | 51+ |
| Label | Use For | |-------|---------| | Frontend (green) | React, UI | | Backend (blue) | Flask, API | | Worker (purple) | Background jobs | | Bug/Issue (orange) | Bugs | | AI/ML (black) | Models, LLM |
bashbpsai-pair plan new <slug> --type feature --title "Title"
Break into 1-2 day units with acceptance criteria.
bash# Preview bpsai-pair plan sync-trello <plan-id> --dry-run # Sync to Planned/Ready (recommended for sprints) bpsai-pair plan sync-trello <plan-id> --target-list "Planned/Ready"
Follow managing-task-lifecycle skill for starting/completing.
bashbpsai-pair plan list # List plans bpsai-pair plan status <plan-id> # Plan status bpsai-pair plan sync-trello <plan-id> # Sync to Trello bpsai-pair task list --plan <plan-id> # Tasks in plan
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-04 | fail→pass | 22,023 | 14,964 | -32% | 1 | 1 | 0% | 2,673 | 2,253 | -16% | 0 | 0 | — |
case-13 | fail→pass | 15,315 | 6,977 | -54% | 1 | 1 | 0% | 1,672 | 813 | -51% | 0 | 0 | — |
case-01 | fail→pass | 14,722 | 12,598 | -14% | 1 | 1 | 0% | 2,640 | 2,046 | -23% | 0 | 0 | — |
case-02 | fail→pass | 22,311 | 7,857 | -65% | 1 | 1 | 0% | 3,456 | 1,027 | -70% | 0 | 0 | — |
case-03 | fail→pass | 11,052 | 6,289 | -43% | 1 | 1 | 0% | 1,737 | 1,706 | -2% | 0 | 0 | — |
case-05 | fail→pass | 18,016 | 3,456 | -81% | 1 | 1 | 0% | 1,969 | 1,001 | -49% | 0 | 0 | — |
case-06 | fail→pass | 12,719 | 2,242 | -82% | 1 | 1 | 0% | 1,117 | 803 | -28% | 0 | 0 | — |
case-07 | pass→pass | 14,154 | 7,256 | -49% | 1 | 1 | 0% | 1,561 | 851 | -45% | 0 | 0 | — |
case-08 | fail→pass | 9,920 | 6,473 | -35% | 1 | 1 | 0% | 1,452 | 724 | -50% | 0 | 0 | — |
case-09 | fail→pass | 9,120 | 6,394 | -30% | 1 | 1 | 0% | 1,516 | 678 | -55% | 0 | 0 | — |
case-10 | fail→pass | 11,632 | 1,987 | -83% | 1 | 1 | 0% | 1,805 | 750 | -58% | 0 | 0 | — |
case-11 | pass→pass | 13,992 | 4,177 | -70% | 1 | 1 | 0% | 1,443 | 763 | -47% | 0 | 0 | — |
case-12 | fail→pass | 14,900 | 1,902 | -87% | 1 | 1 | 0% | 1,386 | 739 | -47% | 0 | 0 | — |
case-14 | fail→pass | 18,584 | 1,592 | -91% | 1 | 1 | 0% | 3,350 | 809 | -76% | 0 | 0 | — |
case-15 | fail→pass | 20,415 | 6,862 | -66% | 1 | 1 | 0% | 2,758 | 789 | -71% | 0 | 0 | — |
case-16 | fail→pass | 6,606 | 8,844 | +34% | 1 | 1 | 0% | 999 | 791 | -21% | 0 | 0 | — |
case-17 | pass→pass | 15,780 | 7,621 | -52% | 1 | 1 | 0% | 1,689 | 846 | -50% | 0 | 0 | — |
case-18 | pass→pass | 13,368 | 6,831 | -49% | 1 | 1 | 0% | 1,297 | 729 | -44% | 0 | 0 | — |
case-19 | pass→pass | 15,548 | 8,046 | -48% | 1 | 1 | 0% | 1,957 | 857 | -56% | 0 | 0 | — |
case-20 | pass→pass | 10,076 | 7,719 | -23% | 1 | 1 | 0% | 939 | 964 | +3% | 0 | 0 | — |
case-21 | pass→pass | 8,031 | 2,390 | -70% | 1 | 1 | 0% | 531 | 942 | +77% | 0 | 0 | — |
case-22 | pass→fail | 7,303 | 1,793 | -75% | 1 | 1 | 0% | 335 | 823 | +146% | 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 +59 percentage points is the difference between those two pass rates over the 22 comparable cases. 1 case got worse with the skill loaded, and it is 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.
Other measured skills in the registry, with their headline benchmark lift.