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Get Started Free →Use when you have a written implementation plan to execute in a separate session with review checkpoints
.claude/skills/ibrahim-3d-executing-plans/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-08 | ✗→✓ | ▲ Improved | 14% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 266% | 0% |
| case-10 | ✗→✓ | ▲ Improved | -3% | 0% |
| case-14 | ✗→✓ | ▲ Improved | 13% | 0% |
| case-16 | ✗→✓ | ▲ Improved | 1% | 0% |
Load plan, review critically, execute all tasks autonomously to completion.
Core principle: Execution behavior depends on conductor/config.json → "mode":
"agentic": Autonomous execution — never stop for human feedback. Resolve all issues by consulting lead agents or best-judgment."human-in-the-loop": Stop at blockers and report to user. Wait for feedback between batches of 3 tasks.Announce at start: "I'm using the executing-plans skill to implement this plan."
"agentic" mode: Resolve autonomously — consult lead agents (Architecture Lead, Tech Lead) via subagent dispatch. NEVER ask the user."human-in-the-loop" mode: Raise concerns with the user before starting."agentic" mode — Execute ALL tasks sequentially without stopping:
For each task:
"human-in-the-loop" mode — Execute in batches of 3 tasks, then pause:
For each batch (3 tasks at a time):
After tasks complete:
"agentic" mode: Show any autonomous decisions made; do NOT wait for feedback — proceed to completion"human-in-the-loop" mode: Say "Ready for feedback." and waitAfter all tasks complete and verified:
If mode = "agentic": Resolve all blockers autonomously. NEVER stop. If mode = "human-in-the-loop": STOP and ask the user for help on any blocker.
completed-with-warnings, continueReturn to Review (Step 1) when:
"agentic" mode: Execute ALL tasks without stopping — resolve blockers autonomously, log all decisions"human-in-the-loop" mode: Execute in batches of 3 — stop at blockers and ask the user, wait for feedback between batchesWhen invoked with --plan, --track-dir, and --metadata parameters (from Conductor orchestrator):
--plan path"agentic" mode: Execute ALL tasks without stopping — run autonomously"human-in-the-loop" mode: Execute in batches of 3 — stop at blockers, wait for user feedback between batches[x] in plan.md with commit SHA--metadata checkpoint to EXECUTE: PASSED{"verdict": "PASS", "tasks_completed": N}--resume-from is provided, skip tasks before that task IDWhen these parameters are absent, fall back to the standalone mode-aware workflow above.
Required workflow skills:
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 5,066 | 13,348 | +163% | 1 | 1 | 0% | 240 | 1,498 | +524% | 0 | 0 | — |
case-02 | fail→fail | 5,447 | 2,887 | -47% | 1 | 1 | 0% | 186 | 1,475 | +693% | 0 | 0 | — |
case-03 | fail→fail | 4,415 | 2,512 | -43% | 1 | 1 | 0% | 220 | 1,456 | +562% | 0 | 0 | — |
case-04 | pass→pass | 8,071 | 3,836 | -52% | 1 | 1 | 0% | 1,282 | 1,841 | +44% | 0 | 0 | — |
case-05 | fail→fail | 4,275 | 3,310 | -23% | 1 | 1 | 0% | 690 | 1,691 | +145% | 0 | 0 | — |
case-06 | fail→fail | 5,162 | 2,920 | -43% | 1 | 1 | 0% | 710 | 1,644 | +132% | 0 | 0 | — |
case-07 | fail→fail | 7,173 | 3,781 | -47% | 1 | 1 | 0% | 1,040 | 1,727 | +66% | 0 | 0 | — |
case-08 | fail→pass | 11,114 | 12,301 | +11% | 1 | 1 | 0% | 1,622 | 1,843 | +14% | 0 | 0 | — |
case-09 | fail→pass | 2,860 | 2,301 | -20% | 1 | 1 | 0% | 417 | 1,526 | +266% | 0 | 0 | — |
case-10 | fail→pass | 9,629 | 1,950 | -80% | 1 | 1 | 0% | 1,516 | 1,473 | -3% | 0 | 0 | — |
case-11 | pass→pass | 5,735 | 2,824 | -51% | 1 | 1 | 0% | 826 | 1,608 | +95% | 0 | 0 | — |
case-12 | pass→pass | 4,978 | 2,888 | -42% | 1 | 1 | 0% | 801 | 1,635 | +104% | 0 | 0 | — |
case-13 | pass→pass | 8,240 | 3,805 | -54% | 1 | 1 | 0% | 1,242 | 1,817 | +46% | 0 | 0 | — |
case-14 | fail→pass | 10,118 | 2,804 | -72% | 1 | 1 | 0% | 1,421 | 1,600 | +13% | 0 | 0 | — |
case-15 | pass→pass | 8,273 | 1,938 | -77% | 1 | 1 | 0% | 1,216 | 1,471 | +21% | 0 | 0 | — |
case-16 | fail→pass | 9,957 | 1,826 | -82% | 1 | 1 | 0% | 1,422 | 1,439 | +1% | 0 | 0 | — |
case-17 | fail→pass | 5,641 | 1,481 | -74% | 1 | 1 | 0% | 853 | 1,377 | +61% | 0 | 0 | — |
case-18 | fail→pass | 12,434 | 3,401 | -73% | 1 | 1 | 0% | 1,744 | 1,754 | +1% | 0 | 0 | — |
case-19 | fail→fail | 5,178 | 3,251 | -37% | 1 | 1 | 0% | 740 | 1,706 | +131% | 0 | 0 | — |
case-20 | pass→fail | 22,934 | 5,010 | -78% | 1 | 1 | 0% | 3,662 | 1,460 | -60% | 0 | 0 | — |
case-21 | pass→fail | 6,337 | 11,500 | +81% | 1 | 1 | 0% | 1,238 | 1,621 | +31% | 0 | 0 | — |
case-22 | pass→fail | 9,605 | 6,663 | -31% | 1 | 1 | 0% | 1,518 | 1,589 | +5% | 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 17 counted toward the lift figure. The other 5 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 +18 percentage points is the difference between those two pass rates over the 17 comparable cases. 3 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.
Other measured skills in the registry, with their headline benchmark lift.