SKILLEMALL.ai

AC email-marketing

Build and execute email marketing campaigns for a solopreneur business. Use when building an email list, writing email sequences (welcome, nurture, sales), designing broadcast campaigns, improving open and click rates, or setting up email automation. Covers list building, segmentation, email copywriting, sequence design, deliverability, and metrics. Trigger on "email marketing", "email campaign", "email sequence", "email list", "newsletter", "email automation", "improve email open rates", "nurture emails", "welcome email".

modbender/skill-library-mcp Agent Skills author: modbender MIT 1 file body ≈ 2 529 tokens Open the sourcegithub.com analyzed 2 d ago

Build and execute email marketing campaigns for a solopreneur business.

As a process C 53/100 · Has gaps — weak spots: result and completion, inputs and preconditions, failures and branches

GeneratorMarketingWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
A
96/100
safety, quality, tests
Safety 60%
100
Quality 40%
89
Run on models
none yet
Process rating
C
53/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Failures and branches w 10
0
the three weakest of ten parameters · all ten

How to improve

    For the model run — optional
    • 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

    ✓ No remarks against the Agent Skills spec

    Process rating: all ten parameters 53/100

    • 0Result and completion. Does not say what the result is
    • 0Inputs and preconditions. Does not say what the process needs to start
    • 0Failures and branches. Linear process with no failure handling
    • 0Progress reporting. Says nothing while it works
    • 30Running it twice. 15 mutating operations with no state check
    • 40Consistency. Frontmatter name (email-marketing) differs from the folder (email-marketing-2)
    • 85Steps. 37 steps, 1 vague phrases
    • 100Tools and files. No external tools needed
    • 100When it triggers. States when to use and when not to
    • 100Execution cost. Instruction body is 2529 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

    • +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
    • +5Description quotes 9 example trigger phrases
    • +3Description length 528: enough signal without eating the budget
    • +4Structure: 13 headings
    • +3Step-by-step instructions: 37 items
    • +4Has examples (3 code blocks)

    Quality base 70; lint remarks subtract, signals add up to 100. Result: 89.