BD Email Sequence Pack
Complete email marketing sequences generator with 8 full campaign templates: welcome series, promotional campaigns, abandoned cart recovery, re-engagement campaigns, newsletters, subject line swipe file, CTA library, and timing guide. Email copywriting frameworks: AIDA, PAS, BAB, StoryBrand applied to email marketing. 20+ subject line formulas tested for high open rates. 50+ CTAs organized by conversion stage. Includes 3 real campaign examples (skincare, coding bootcamp, fashion) and 4 Python/JS scripts for sequence generation, CSV processing, A/B testing and automated scheduling. For e-commerce stores, SaaS companies, agencies, and email marketers who want done-for-you email sequences that convert.
As a process D 39/100 · Unfinished process — weak spots: result and completion, when it triggers, inputs and preconditions
How to improve
- Say in the description WHEN to use the skill ("use when…", example requests): that is the agent's main cue.
- 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: 2. Evidence is masked. Grey chips explain why severity was lowered.
Against the Agent Skills spec
- warning
name-formatname should be kebab-case (lowercase letters, digits, hyphens) - warning
description-no-whendescription does not say WHEN to use the skill (no "use when")
Process rating: all ten parameters 39/100
- 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
- 20When it triggers. No condition that starts the skill
- 30Running it twice. 2 mutating operations with no state check
- 40Consistency. Frontmatter name (Email Sequence Pack) differs from the folder (email-sequence-pack)
- 60Tools and files. Uses tools (python) that frontmatter does not declare
- 100Steps. 15 steps
- 100Execution cost. Instruction body is 454 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
- +4No input/output examples
- +1No license
- +2Single-language instructions
- +3Description length 708: enough signal without eating the budget
- +4Structure: 4 headings
- +3Step-by-step instructions: 15 items
Quality base 70; lint remarks subtract, signals add up to 100. Result: 63.