AB ai-cold-email-linkedin-generator
Generates high-reply-rate cold emails, LinkedIn DMs, follow-up sequences, and A/B test variants for B2B sales outreach. Use this skill whenever the user wants to write cold outreach, sales emails, LinkedIn messages, follow-up emails, prospecting copy, or any kind of outbound sales communication. Always trigger for any task involving outbound messaging, SDR/BDR workflows, lead generation copy, or sales prospecting — even when phrased casually, such as "help me reach out to leads", "write me a sales email", "draft a LinkedIn message", or "I need to contact prospects".
As a process B 76/100 · Nearly there — weak spots: failures and branches, 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: 6. 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 76/100
- 0Failures and branches. Linear process with no failure handling
- 0Progress reporting. Says nothing while it works
- 30Running it twice. 4 mutating operations with no state check
- 60Result and completion. Output format stated, no completion criterion
- 70Inputs and preconditions. Inputs and preconditions are listed
- 100Tools and files. No external tools needed
- 100Steps. 30 steps
- 100When it triggers. States when to use and when not to
- 100Consistency. Name and required fields are in place
- 100Execution cost. Instruction body is 1641 tokens
- low 10 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
- +4Description does not say when NOT to use the skill (false activations)
- +2Single-language instructions
- +5Description quotes 4 example trigger phrases
- +3Description length 572: enough signal without eating the budget
- +4Structure: 17 headings
- +3Step-by-step instructions: 30 items
- +3Output format is stated explicitly
- +4Has examples (3 code blocks)
- +1License stated
Quality base 70; lint remarks subtract, signals add up to 100. Result: 93.