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Get Started Free →Compact the current conversation into a handoff document for another agent to pick up.
.claude/skills/sickn33-handoff/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | -20% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 54% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -17% | 0% |
| case-05 | ✗→✓ | ▲ Improved | -16% | 0% |
| case-06 | ✗→✓ | ▲ Improved | -16% | 0% |
Use when this workflow matches the user request: Compact the current conversation into a handoff document for another agent to pick up.
_Source: mattpocock/skills (MIT)._Write a handoff document summarising the current conversation so a fresh agent can continue the work. Save to the temporary directory of the user's OS - not the current workspace.
Include a "suggested skills" section in the document, which suggests skills that the agent should invoke.
Do not duplicate content already captured in other artifacts (PRDs, plans, ADRs, issues, commits, diffs). Reference them by path or URL instead.
Redact any sensitive information, such as API keys, passwords, or personally identifiable information.
If the user passed arguments, treat them as a description of what the next session will focus on and tailor the doc accordingly.
User request:
> Use @handoff for this task: Compact the current conversation into a handoff document for another agent to pick up.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→fail | 11,059 | 10,811 | -2% | 1 | 1 | 0% | 1,631 | 1,876 | +15% | 0 | 0 | — |
case-02 | fail→pass | 9,551 | 5,626 | -41% | 1 | 1 | 0% | 1,406 | 1,128 | -20% | 0 | 0 | — |
case-03 | fail→pass | 7,662 | 14,415 | +88% | 1 | 1 | 0% | 1,085 | 1,671 | +54% | 0 | 0 | — |
case-04 | fail→pass | 15,989 | 9,468 | -41% | 1 | 1 | 0% | 2,068 | 1,720 | -17% | 0 | 0 | — |
case-05 | fail→pass | 11,315 | 10,338 | -9% | 1 | 1 | 0% | 1,608 | 1,349 | -16% | 0 | 0 | — |
case-06 | fail→pass | 11,116 | 7,181 | -35% | 1 | 1 | 0% | 1,610 | 1,357 | -16% | 0 | 0 | — |
case-07 | fail→pass | 14,053 | 10,089 | -28% | 1 | 1 | 0% | 1,901 | 1,722 | -9% | 0 | 0 | — |
case-08 | fail→pass | 15,520 | 10,064 | -35% | 1 | 1 | 0% | 2,314 | 1,306 | -44% | 0 | 0 | — |
case-09 | fail→pass | 7,401 | 8,712 | +18% | 1 | 1 | 0% | 1,070 | 1,570 | +47% | 0 | 0 | — |
case-10 | fail→pass | 12,442 | 6,136 | -51% | 1 | 1 | 0% | 1,953 | 1,288 | -34% | 0 | 0 | — |
case-11 | fail→pass | 13,986 | 9,972 | -29% | 1 | 1 | 0% | 2,197 | 1,885 | -14% | 0 | 0 | — |
case-12 | fail→pass | 7,813 | 10,030 | +28% | 1 | 1 | 0% | 1,113 | 1,707 | +53% | 0 | 0 | — |
case-13 | fail→fail | 12,655 | 9,174 | -28% | 1 | 1 | 0% | 1,933 | 1,788 | -8% | 0 | 0 | — |
case-14 | fail→pass | 10,190 | 6,334 | -38% | 1 | 1 | 0% | 1,525 | 1,269 | -17% | 0 | 0 | — |
case-15 | fail→pass | 9,963 | 10,278 | +3% | 1 | 1 | 0% | 1,713 | 1,912 | +12% | 0 | 0 | — |
case-16 | fail→fail | 18,174 | 9,244 | -49% | 1 | 1 | 0% | 2,815 | 1,682 | -40% | 0 | 0 | — |
case-17 | fail→pass | 11,482 | 7,048 | -39% | 1 | 1 | 0% | 1,902 | 1,312 | -31% | 0 | 0 | — |
case-18 | fail→pass | 9,983 | 6,693 | -33% | 1 | 1 | 0% | 1,416 | 1,326 | -6% | 0 | 0 | — |
case-19 | fail→fail | 10,993 | 8,301 | -24% | 1 | 1 | 0% | 1,761 | 1,556 | -12% | 0 | 0 | — |
case-20 | pass→pass | 20,760 | 14,715 | -29% | 1 | 1 | 0% | 3,276 | 2,487 | -24% | 0 | 0 | — |
case-21 | pass→pass | 11,479 | 16,465 | +43% | 1 | 1 | 0% | 1,683 | 2,297 | +36% | 0 | 0 | — |
case-22 | pass→pass | 3,140 | 3,695 | +18% | 1 | 1 | 0% | 382 | 772 | +102% | 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 +68 percentage points is the difference between those two pass rates over the 22 comparable cases.
The publisher has shipped newer versions since this run, so these numbers describe v1, not the version currently listed.
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.