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Get Started Free →Turn a team or reporting structure into a clean org chart. Use when asked to draw an org chart, show reporting lines, visualize team structure, or map who reports to whom. Produces a ready-to-render Mermaid org chart (renders live, exportable as PNG/SVG) plus headcount notes and any structural observations.
.claude/skills/mohitagw15856-org-chart/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 7% | 0% |
| case-02 | ✗→✓ | ▲ Improved | 29% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -12% | 0% |
| case-07 | ✗→✓ | ▲ Improved | 11% | 0% |
| case-09 | ✗→✓ | ▲ Improved | 39% | 0% |
A reporting structure described in prose is hard to hold in your head; an org chart makes the hierarchy, spans of control, and gaps obvious. This skill turns a described team into a clean Mermaid org chart — correct reporting lines, grouped functions, and dotted lines for matrix/indirect reports.
Ask for these only if they aren't already provided:
If only roles (not names) are given, chart the roles.
One line on scope (whole org, one department, etc.).
mermaidflowchart TD CEO[CEO] CPO[CPO] CTO[CTO] PM1[PM - Growth] PM2[PM - Core] EM[Eng Manager] CEO --> CPO CEO --> CTO CPO --> PM1 CPO --> PM2 CTO --> EM EM -.dotted.-> PM2
Headcount — totals by function or level, if known.
Observations (optional) — overloaded spans of control, vacant roles, single points of failure, unclear lines.
flowchart TD so the hierarchy reads top-down.--> report (arrow points down the hierarchy).-.dotted.-> for matrix/indirect reports so they're visually distinct.Organizational charting (reporting lines, spans of control, matrix relationships), as renderable Mermaid.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 14,865 | 11,205 | -25% | 1 | 1 | 0% | 2,796 | 2,992 | +7% | 0 | 0 | — |
case-02 | fail→pass | 9,158 | 7,940 | -13% | 1 | 1 | 0% | 1,845 | 2,377 | +29% | 0 | 0 | — |
case-03 | fail→pass | 12,928 | 8,070 | -38% | 1 | 1 | 0% | 2,676 | 2,356 | -12% | 0 | 0 | — |
case-22 | pass→pass | 14,073 | 10,458 | -26% | 1 | 1 | 0% | 2,383 | 2,589 | +9% | 0 | 0 | — |
case-04 | fail→fail | 12,533 | 5,354 | -57% | 1 | 1 | 0% | 2,416 | 1,732 | -28% | 0 | 0 | — |
case-05 | pass→pass | 6,003 | 4,576 | -24% | 1 | 1 | 0% | 1,359 | 1,639 | +21% | 0 | 0 | — |
case-06 | pass→pass | 6,237 | 5,893 | -6% | 1 | 1 | 0% | 1,178 | 1,719 | +46% | 0 | 0 | — |
case-07 | fail→pass | 10,578 | 7,345 | -31% | 1 | 1 | 0% | 1,932 | 2,141 | +11% | 0 | 0 | — |
case-08 | pass→pass | 5,593 | 4,520 | -19% | 1 | 1 | 0% | 1,035 | 1,513 | +46% | 0 | 0 | — |
case-09 | fail→pass | 5,499 | 5,063 | -8% | 1 | 1 | 0% | 1,142 | 1,586 | +39% | 0 | 0 | — |
case-10 | fail→fail | 4,721 | 4,313 | -9% | 1 | 1 | 0% | 982 | 1,421 | +45% | 0 | 0 | — |
case-11 | fail→pass | 9,367 | 6,844 | -27% | 1 | 1 | 0% | 1,667 | 2,029 | +22% | 0 | 0 | — |
case-12 | pass→pass | 8,432 | 5,867 | -30% | 1 | 1 | 0% | 1,772 | 1,915 | +8% | 0 | 0 | — |
case-13 | pass→pass | 5,330 | 5,583 | +5% | 1 | 1 | 0% | 1,111 | 1,816 | +63% | 0 | 0 | — |
case-14 | pass→pass | 7,660 | 6,234 | -19% | 1 | 1 | 0% | 1,510 | 1,852 | +23% | 0 | 0 | — |
case-15 | pass→pass | 4,650 | 5,242 | +13% | 1 | 1 | 0% | 784 | 1,439 | +84% | 0 | 0 | — |
case-16 | pass→pass | 7,692 | 6,686 | -13% | 1 | 1 | 0% | 1,616 | 1,875 | +16% | 0 | 0 | — |
case-17 | fail→pass | 7,659 | 4,369 | -43% | 1 | 1 | 0% | 1,443 | 1,458 | +1% | 0 | 0 | — |
case-18 | fail→pass | 6,202 | 5,364 | -14% | 1 | 1 | 0% | 1,232 | 1,609 | +31% | 0 | 0 | — |
case-19 | fail→pass | 3,361 | 3,427 | +2% | 1 | 1 | 0% | 650 | 1,304 | +101% | 0 | 0 | — |
case-20 | pass→fail | 12,984 | 12,173 | -6% | 1 | 1 | 0% | 2,345 | 2,862 | +22% | 0 | 0 | — |
case-21 | pass→fail | 13,698 | 11,189 | -18% | 1 | 1 | 0% | 2,884 | 3,058 | +6% | 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 +32 percentage points is the difference between those two pass rates over the 22 comparable cases. 2 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.