AB meta-service-lead-gen
Design, audit, diagnose, and improve Meta/Facebook/Instagram lead generation funnels for service businesses that sell through applications, booking pages, nurture, and sales calls. Use for Meta ads, Facebook ads, Instagram ads, lead funnels, VSSLs, landing pages, ad creative, application funnels, booking/show-rate problems, nurture sequences, sales-call conversion, qualified-lead quality, and paid social funnel math. Do not use for ecommerce product ads, pure awareness campaigns, app installs, or low-ticket/no-call offers unless adapting the method explicitly.
Design, audit, diagnose, and improve Meta/Facebook/Instagram lead generation funnels for service businesses that sell through applications, booking pages…
As a process B 68/100 · Nearly there — weak spots: inputs and preconditions, running it twice, progress reporting
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: 8. 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 68/100
- 0Inputs and preconditions. Does not say what the process needs to start
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 3 mutating operations with no state check
- 50When it triggers. No condition that starts the skill
- 55Failures and branches. 1 branches
- 60Result and completion. Output format stated, no completion criterion
- 100Tools and files. No external tools needed
- 100Steps. 44 steps
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1367 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +4Description says when NOT to use the skill
- +3Description length 566: enough signal without eating the budget
- +4Structure: 7 headings
- +3Step-by-step instructions: 44 items
- +3Output format is stated explicitly
- +4Reference files are cited in the instructions (5 of 5)
Quality base 70; lint remarks subtract, signals add up to 100. Result: 91.