BF holiday-fomo-marketing
A specialized assistant for e-commerce merchants and Shopify store owners to scale Q4 and holiday campaigns (BFCM, Valentine's, Christmas). ALWAYS trigger this skill whenever a user asks about maximizing CVR (Conversion Rate), setting up Abandoned Checkout Flows, creating urgency/FOMO on PDPs (Product Detail Pages), holiday email/SMS marketing strategies, or increasing post-holiday CLTV (Customer Lifetime Value).
As a process F 44/100 · Will not run — References files that are not bundled: references/campaign_architecture.md, references/fomo_conversion_playbook.md, scripts/flow_copy_generator.py
How to improve
- The text references files that are not there: add them or drop the references.
- 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: 1. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
missing-refreference to a missing file: references/campaign_architecture.md - warning
missing-refreference to a missing file: references/fomo_conversion_playbook.md - warning
missing-refreference to a missing file: scripts/flow_copy_generator.py
Process rating: all ten parameters 44/100
- 0Tools and files. 3 referenced file(s) missing: references/campaign_architecture.md, references/fomo_conversion_playbook.md, scripts/flow_copy_generator.py
- 0Result and completion. Does not say what the result is
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 1 mutating operations with no state check
- 55Failures and branches. 1 branches
- 70When it triggers. States when to use, but not when not to
- 100Steps. 11 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 923 tokens
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)
- +3Output format is not stated: the model decides each time
- +1No license
- +2Single-language instructions
- +3Description length 416: enough signal without eating the budget
- +4Structure: 8 headings
- +3Step-by-step instructions: 11 items
- +4Has examples (0 code blocks)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.