AA marketing-ladder
Разбирает курс, программу, коучинг или любую услугу по лестнице Бена Ханта (уровни осведомленности + лояльность) и строит путь клиента от 'не знаю о проблеме' до покупки и повторной продажи: диагностика аудитории и текущего маркетинга, карта ступеней, сообщения, форматы, офферы и CTA для каждой ступени, готовые черновики текстов, план запуска и метрики переходов. Режим auto сам выбирает: построить лестницу с нуля, провести аудит существующего маркетинга или глубоко проработать одну ступень. Use when the user wants to analyze or plan marketing for a course, coaching, consulting or any service using Ben Hunt's ladder of awareness / Schwartz awareness levels, or to understand why a launch doesn't sell. Триггеры: 'лестница Ханта', 'лестница осведомленности', 'разбери мой курс/услугу', 'построй шаги запуска', 'как продать курс', 'прогрев под запуск', 'почему не покупают', 'на каком этапе моя аудитория', 'awareness ladder', /marketing-ladder.
Разбирает курс, программу, коучинг или любую услугу по лестнице Бена Ханта (уровни осведомленности + лояльность) и строит путь клиента от 'не знаю о проблеме'…
As a process A 82/100 · Runs to the end — weak spots: inputs and preconditions
How to improve
- Your own cases (evals/evals.json, 4–6 real requests with expected answers): the full check would then run those instead of a model-drafted suite.
- A spec.yaml with trigger phrases and assertions — a behaviour contract for CI; `skilltest init` writes a template.
Guard findings · 0
✓ No critical or high findings
Files scanned: 9. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
✓ No remarks against the Agent Skills spec
Process rating: all ten parameters 82/100
- 30Inputs and preconditions. Does not say what the process needs to start
- 60Result and completion. Output format stated, no completion criterion
- 70Failures and branches. 12 branches
- 70Execution cost. Instruction body is 4408 tokens
- 100Tools and files. No external tools needed
- 100Steps. 55 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Running it twice. No mutating operations
- 100Progress reporting. Reports progress
- low 12 top-level sections: this looks like several domains in one skill
Everything here is measured from the skill text rather than judged by a model, so the numbers are checkable. A parameter weighs more when it is a more common reason for the process to stall.
Quality signals
- +5Description has no quoted example phrases that should trigger the skill
- +4Description does not say when NOT to use the skill (false activations)
- +3Description length 950: 120–800 characters recommended
- +3Output format is not stated: the model decides each time
- +1No license
- +4Structure: 13 headings
- +3Step-by-step instructions: 55 items
- +4Has examples (1 code blocks)
- +4Reference files are cited in the instructions (6 of 6)
- +2Bilingual instructions (RU + EN)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 87.