SKILLEMALL.ai

CC email-design

Design distinctive, on-brand emails — newsletters, campaigns, welcome series, promo, post-purchase, win-back, transactional, announcements. Use when the user wants to draft, write, compose, design, redesign, critique, polish, or improve an email; or send a campaign / blast / broadcast through any ESP (Nitrosend, Klaviyo, Mailchimp, ActiveCampaign, etc.). Produces a structured design brief and translates it into the sending tool's section format. Bakes in anti-slop principles: own a colour, restrained palettes, real imagery with sourced or prompted image slots, distinctive voice, no category-reflex aesthetics, no orphan whitespace, single column ≤600px, mobile-first, real footers (verified mission only, plus socials + address + unsubscribe). Asks at most three questions to fill brand gaps; otherwise infers from connected ESP account settings or a project brand file. Self-contained — no other skills required. Skip for pure strategy, deliverability, copy-only, or platform-selection questions.

ClawHub Agent Skills author: George Hartley ☄️ v0.1.0 MIT-0 5 files body ≈ 5 162 tokens Open the sourceclawhub.ai↗ analyzed 5 d ago

Design distinctive, on-brand emails — newsletters, campaigns, welcome series, promo, post-purchase, win-back, transactional, announcements.

As a process C 51/100 · Has gaps — weak spots: result and completion, inputs and preconditions, consistency

AnalyzerMarketingWriting and documentstype and topics are labelled automatically from the skill text
JSON
Technical rating
C
89/100
safety, quality, tests
Safety 60%
100
Quality 40%
72
Run on models
none yet
Process rating
C
51/100
Has gaps
Result and completion w 14
0
Inputs and preconditions w 11
0
Progress reporting w 2
0
the three weakest of ten parameters · all ten

How to improve

  1. The SKILL.md body is over 5,000 tokens: move reference detail into references/ and load it when needed.
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: 4. Evidence is masked. Grey chips explain why severity was lowered.

Against the Agent Skills spec

  • warning body-long SKILL.md body ≈ 5162 tokens (recommended < 5000); move details to references/

Process rating: all ten parameters 51/100

  • 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. 26 mutating operations with no state check
  • 40Consistency. Frontmatter name (email-design) differs from the folder (email-design-2)
  • 60Tools and files. Uses tools (web) that frontmatter does not declare
  • 70When it triggers. States when to use, but not when not to
  • 70Execution cost. Instruction body is 5162 tokens
  • 85Steps. 88 steps, 2 vague phrases
  • 100Failures and branches. 2 branches, has a failure section
  • medium Safety rules and hard prohibitions inside a skill: they belong in the system prompt, here they protect nothing
  • low 10 top-level sections: this looks like several domains in one skill
  • low The response is described with custom markup (3 tags): a typed call is more reliable

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 1004: 120–800 characters recommended
  • +3Output format is not stated: the model decides each time
  • +2Single-language instructions
  • +4Structure: 27 headings
  • +3Step-by-step instructions: 88 items
  • +4Has examples (7 code blocks)
  • +1License stated

Quality base 70; lint remarks subtract, signals add up to 100. Result: 72.

External checks

ClawHub: clean
This email-design skill is coherent and purpose-aligned, but it can read connected email-platform brand data and fetch brand imagery, so users should understand those data sources before use.
LLM: benign (high) · VirusTotal: · 7 Oct 2026