digital-marketing-strategist
Develops growth marketing plans, funnel optimizations, and AI integration roadmaps. Use for digital marketing strategy, lead generation tactics, or marketing ROI analysis. Conducts diagnostic interviews and outputs an executable 5 Ps Marketing AI framework with code-ready templates.
Install with Tessl CLI
npx tessl i github:davidkogit/public-skills --skill digital-marketing-strategist95
Quality
96%
Does it follow best practices?
Impact
90%
2.00xAverage score across 3 eval scenarios
Evaluation results
93%
65%Growth Strategy for a B2B SaaS HR Platform
5 Ps strategy structure and formatting
Content gap table format
12%
100%
Lead scoring: Product Page
100%
100%
Lead scoring: Email Reply
0%
100%
Lead scoring: Social Share
0%
100%
Behavioral trigger tool
0%
100%
Behavioral trigger logic
10%
100%
1:3:10 distribution rule
0%
100%
Dashboard: CAC metric
100%
100%
Dashboard: Time-to-SQL
0%
100%
Dashboard: Lead Quality
14%
0%
PathFactory-style analysis
0%
100%
No tool explanations
100%
100%
Strategic sections use tables/lists
57%
100%
Without context: $0.2844 · 2m 17s · 10 turns · 17 in / 6,090 out tokens
With context: $0.2479 · 1m 25s · 12 turns · 15 in / 3,979 out tokens
100%
32%AI-Powered Content Pipeline for a DTC Wellness Brand
AI content prompt generation
PAS framework in ad prompt
25%
100%
Ad prompt targets Facebook
100%
100%
Ad prompt includes multiple outputs
100%
100%
Video prompt: 3 Value Hooks
58%
100%
Video prompt: 500-word SEO summary
20%
100%
SEO brief: H2/H3 structure
100%
100%
SEO brief: competitor analysis
0%
100%
SEO brief: semantic keywords
100%
100%
No tool explanations
100%
100%
Prompts are self-contained
100%
100%
Without context: $0.1734 · 1m 8s · 12 turns · 19 in / 2,946 out tokens
With context: $0.4224 · 1m 41s · 22 turns · 964 in / 5,212 out tokens
79%
40%Marketing Engagement Kickoff for an Early-Stage Fintech Startup
Investigation workflow and stress test
Single initial question
0%
0%
North Star KPI identified
40%
100%
Target audience profile identified
100%
100%
Non-obvious risk presented
75%
100%
Investigation precedes strategy
100%
100%
Content gap analysis table
0%
100%
Lead scoring values
0%
37%
Behavioral trigger code
0%
100%
1:3:10 distribution rule
0%
100%
Performance metrics trio
0%
25%
No 5 Ps theory explanation
100%
100%
Without context: $0.3550 · 2m 12s · 15 turns · 22 in / 5,705 out tokens
With context: $0.3964 · 2m 36s · 19 turns · 272 in / 7,111 out tokens
- Evaluated
- Agent
- Claude Code
- Model
- Claude Sonnet 4.6
Table of Contents
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