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Get Started Free →Generate a structured content calendar for any brand, product, or creator. Use when asked for a content plan, editorial calendar, social media schedule, or weekly/monthly content strategy. Produces a calendar with topics, formats, channels, and copy hooks.
.claude/skills/mohitagw15856-content-calendar/SKILL.md| Model | Eval pass | Runs |
|---|---|---|
| gemini-3.6-flash | 100% | 3 |
| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-01 | ✗→✓ | ▲ Improved | 8% | 0% |
| case-02 | ✗→✓ | ▲ Improved | -35% | 0% |
| case-03 | ✗→✓ | ▲ Improved | 5% | 0% |
| case-04 | ✗→✓ | ▲ Improved | -21% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 20% | 0% |
This skill generates a structured content calendar from brand inputs. It produces ready-to-use calendar entries with topics, formats, channels, and opening hooks — usable for social media, blogs, newsletters, or multi-channel campaigns.
Ask the user for these if not provided:
Derive 3–4 content pillars from the brand/product description. Each pillar = a recurring theme that anchors multiple posts. Label each one clearly (e.g. "Pillar 1: Industry Education", "Pillar 2: Product Stories").
Produce a weekly table for each week requested. Format:
| Date | Pillar | Topic | Format | Channel | Opening Hook | |---|---|---|---|---|---| | Mon 7 Apr | Education | Topic title] | Carousel / Article / Short video / Thread | LinkedIn | First sentence or headline of the post] |
Rules:
For each "High Priority" post, add one repurposing suggestion — e.g. "Turn this LinkedIn article into a newsletter section" or "Clip this video for an Instagram Reel."
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-01 | fail→pass | 18,631 | 16,181 | -13% | 1 | 1 | 0% | 3,554 | 3,847 | +8% | 0 | 0 | — |
case-02 | fail→pass | 27,110 | 13,087 | -52% | 1 | 1 | 0% | 4,903 | 3,199 | -35% | 0 | 0 | — |
case-03 | fail→pass | 17,526 | 12,332 | -30% | 1 | 1 | 0% | 3,068 | 3,212 | +5% | 0 | 0 | — |
case-04 | fail→pass | 18,365 | 8,859 | -52% | 1 | 1 | 0% | 3,273 | 2,574 | -21% | 0 | 0 | — |
case-05 | pass→pass | 14,007 | 8,423 | -40% | 1 | 1 | 0% | 2,445 | 2,252 | -8% | 0 | 0 | — |
case-06 | fail→pass | 11,194 | 8,986 | -20% | 1 | 1 | 0% | 1,908 | 2,290 | +20% | 0 | 0 | — |
case-07 | fail→pass | 19,551 | 11,670 | -40% | 1 | 1 | 0% | 3,298 | 3,214 | -3% | 0 | 0 | — |
case-08 | fail→pass | 11,423 | 10,317 | -10% | 1 | 1 | 0% | 1,857 | 2,561 | +38% | 0 | 0 | — |
case-09 | fail→pass | 11,863 | 2,891 | -76% | 1 | 1 | 0% | 2,003 | 1,269 | -37% | 0 | 0 | — |
case-10 | fail→pass | 19,503 | 18,326 | -6% | 1 | 1 | 0% | 2,986 | 3,915 | +31% | 0 | 0 | — |
case-11 | fail→pass | 14,965 | 9,517 | -36% | 1 | 1 | 0% | 2,449 | 2,464 | +1% | 0 | 0 | — |
case-18 | pass→pass | 12,802 | 8,856 | -31% | 1 | 1 | 0% | 2,409 | 2,343 | -3% | 0 | 0 | — |
case-12 | fail→pass | 16,051 | 14,766 | -8% | 1 | 1 | 0% | 2,636 | 3,296 | +25% | 0 | 0 | — |
case-13 | pass→pass | 14,080 | 9,436 | -33% | 1 | 1 | 0% | 2,263 | 2,396 | +6% | 0 | 0 | — |
case-14 | fail→fail | 19,291 | 11,428 | -41% | 1 | 1 | 0% | 3,191 | 2,764 | -13% | 0 | 0 | — |
case-15 | fail→pass | 16,067 | 9,736 | -39% | 1 | 1 | 0% | 2,712 | 2,274 | -16% | 0 | 0 | — |
case-16 | fail→pass | 14,453 | 13,177 | -9% | 1 | 1 | 0% | 2,304 | 3,070 | +33% | 0 | 0 | — |
case-17 | pass→pass | 26,145 | 25,167 | -4% | 1 | 1 | 0% | 4,351 | 4,733 | +9% | 0 | 0 | — |
case-19 | pass→pass | 16,661 | 15,129 | -9% | 1 | 1 | 0% | 3,113 | 3,661 | +18% | 0 | 0 | — |
case-20 | fail→pass | 18,738 | 9,761 | -48% | 1 | 1 | 0% | 3,517 | 2,792 | -21% | 0 | 0 | — |
case-21 | fail→pass | 13,379 | 8,612 | -36% | 1 | 1 | 0% | 2,334 | 2,352 | +1% | 0 | 0 | — |
case-22 | fail→pass | 15,710 | 8,981 | -43% | 1 | 1 | 0% | 2,694 | 2,443 | -9% | 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 +73 percentage points is the difference between those two pass rates over the 22 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.