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Get Started Free →Library of 139+ proven marketing strategies organized by category, stage, budget, and timeline across content, SEO, paid, social, email, and growth. Use when brainstorming marketing ideas, planning growth strategies, or ideating campaigns.
.claude/skills/borghei-marketing-ideas/SKILL.md| Test case | Without → With | Effect | Δ tokens | Δ turns |
|---|---|---|---|---|
| case-02 | ✗→✓ | ▲ Improved | 31% | 0% |
| case-03 | ✗→✓ | ▲ Improved | -6% | 0% |
| case-04 | ✗→✓ | ▲ Improved | 42% | 0% |
| case-05 | ✗→✓ | ▲ Improved | 3% | 0% |
| case-06 | ✗→✓ | ▲ Improved | 345% | 0% |
139+ proven marketing strategies with implementation guidance matched to stage, budget, and goals. This file is a lean map — browse the full tactic catalog and frameworks in the references below.
references/idea-catalog.md to find 3-5 matching ideasreferences/ideation-and-trends.md) to generate 15-20 raw ideasLoad the reference that matches the task — keep this file lean and pull detail on demand:
marketing ideas, growth ideas, marketing strategies, marketing tactics, campaign ideation, creative brainstorming, trend analysis, growth marketing, content marketing ideas, social media ideas, email marketing ideas, paid advertising ideas, partnership marketing, product-led growth, unconventional marketing, guerrilla marketing, viral marketing, community marketing, developer marketing
| Script | Purpose | Usage | |--------|---------|-------| | scripts/idea_scorer.py | Score and prioritize marketing ideas by impact, effort, and alignment | python scripts/idea_scorer.py ideas.json --stage growth --budget medium --goal leads | | scripts/campaign_brief_generator.py | Generate structured campaign briefs from parameters | python scripts/campaign_brief_generator.py config.json --demo | | scripts/trend_evaluator.py | Evaluate marketing trends for relevance, risk, and actionability | python scripts/trend_evaluator.py trends.json --demo |
In Scope: 139+ marketing ideas organized by category/stage/budget/timeline, campaign ideation frameworks, idea scoring and prioritization, campaign brief generation, trend identification and evaluation, quick win identification, PLG strategy ideas.
Out of Scope: Detailed implementation for each idea (see channel-specific skills), budget allocation optimization (see marketing-analyst skill), execution tracking and analytics (see campaign-analytics skill), content creation (see content-creator skill).
Limitations: This skill provides strategy and ideas, not execution. Each idea requires a channel-specific skill for full implementation. Impact estimates (High/Medium/Low) are directional based on benchmarks; actual results depend on execution quality, market fit, and timing. Trend evaluation is subjective and should be combined with data analysis.
| Case | Status | Duration (ms) | Turns | Tokens | Tool calls | ||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Without | With | Δ | Without | With | Δ | Without | With | Δ | Without | With | Δ | ||
case-16 | fail→fail | 22,137 | 14,781 | -33% | 1 | 1 | 0% | 4,278 | 3,935 | -8% | 0 | 0 | — |
case-14 | fail→fail | 20,385 | 15,281 | -25% | 1 | 1 | 0% | 3,925 | 3,511 | -11% | 0 | 0 | — |
case-01 | fail→fail | 25,235 | 24,481 | -3% | 1 | 1 | 0% | 4,164 | 5,199 | +25% | 0 | 0 | — |
case-02 | fail→pass | 8,086 | 3,292 | -59% | 1 | 1 | 0% | 1,209 | 1,580 | +31% | 0 | 0 | — |
case-03 | fail→pass | 8,843 | 2,258 | -74% | 1 | 1 | 0% | 1,501 | 1,404 | -6% | 0 | 0 | — |
case-04 | fail→pass | 6,206 | 1,737 | -72% | 1 | 1 | 0% | 968 | 1,377 | +42% | 0 | 0 | — |
case-05 | fail→pass | 8,367 | 2,254 | -73% | 1 | 1 | 0% | 1,449 | 1,486 | +3% | 0 | 0 | — |
case-15 | fail→fail | 20,994 | 54,218 | +158% | 1 | 1 | 0% | 3,316 | 5,989 | +81% | 0 | 0 | — |
case-06 | fail→pass | 2,103 | 2,518 | +20% | 1 | 1 | 0% | 330 | 1,470 | +345% | 0 | 0 | — |
case-07 | fail→pass | 3,217 | 2,042 | -37% | 1 | 1 | 0% | 492 | 1,447 | +194% | 0 | 0 | — |
case-08 | pass→pass | 8,091 | 6,206 | -23% | 1 | 1 | 0% | 1,290 | 2,030 | +57% | 0 | 0 | — |
case-09 | fail→pass | 10,000 | 2,640 | -74% | 1 | 1 | 0% | 1,467 | 1,529 | +4% | 0 | 0 | — |
case-10 | pass→pass | 9,687 | 6,756 | -30% | 1 | 1 | 0% | 1,548 | 2,161 | +40% | 0 | 0 | — |
case-11 | pass→pass | 13,907 | 9,683 | -30% | 1 | 1 | 0% | 2,049 | 2,604 | +27% | 0 | 0 | — |
case-12 | fail→pass | 8,199 | 7,702 | -6% | 1 | 1 | 0% | 1,346 | 2,242 | +67% | 0 | 0 | — |
case-13 | pass→pass | 8,067 | 8,390 | +4% | 1 | 1 | 0% | 1,223 | 2,480 | +103% | 0 | 0 | — |
case-17 | fail→pass | 14,884 | 13,607 | -9% | 1 | 1 | 0% | 2,121 | 3,148 | +48% | 0 | 0 | — |
case-18 | pass→pass | 15,262 | 12,661 | -17% | 1 | 1 | 0% | 2,233 | 3,055 | +37% | 0 | 0 | — |
case-19 | pass→pass | 13,305 | 10,675 | -20% | 1 | 1 | 0% | 1,979 | 2,741 | +39% | 0 | 0 | — |
case-20 | pass→pass | 10,225 | 10,734 | +5% | 1 | 1 | 0% | 1,563 | 2,899 | +85% | 0 | 0 | — |
case-21 | fail→pass | 11,059 | 2,738 | -75% | 1 | 1 | 0% | 1,589 | 1,482 | -7% | 0 | 0 | — |
case-22 | pass→pass | 12,146 | 5,902 | -51% | 1 | 1 | 0% | 1,804 | 2,087 | +16% | 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 +45 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.