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email-sequence

When the user wants to create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program. Also use when the user mentions "email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," or "lifecycle emails." For in-app onboarding, see onboarding-cro.

66

Quality

80%

Does it follow best practices?

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Adds up to 20 points to the overall score

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SecuritybySnyk

Passed

No findings from the security scan

The canonical home for this skill is email-sequence in alirezarezvani/claude-skills

SKILL.md
Quality
Evals
Security

Quality

Content

71%Weight 40%Scale 1-5

Reviews the quality of instructions and guidance provided to agents. Good implementation is clear, handles edge cases, and produces reliable results.

The content is well-organized, lean, and actionable with a real validation step, but it references bundle files (references/email-sequence-playbook.md, scripts/sequence_analyzer.py) that are not present, leaving the Core Principles section pointing to nothing. Fixing the missing bundle and consolidating redundant question sections would raise quality.

Suggestions

Add the missing bundle files (references/email-sequence-playbook.md and scripts/sequence_analyzer.py) referenced in the body, or inline the Core Principles content so the section is not an unresolved pointer.

Consolidate the overlapping "Initial Assessment" and "Task-Specific Questions" sections into a single discovery step to remove redundancy and tighten conciseness.

Present the end-to-end workflow (assess → draft → run sequence_analyzer → fix below 70 → attach score → hand off) as one explicitly ordered, numbered sequence so the validation checkpoint is unmissable.

DimensionReasoningScore

Conciseness

The body is lean and assumes Claude's competence (no primers on what email marketing is), with only minor redundancy between "Initial Assessment" and "Task-Specific Questions," fitting anchor 4 rather than 5 which demands every token earn its place.

4 / 5

Actionability

It provides a concrete executable command (`python3 scripts/sequence_analyzer.py --file sequence.json` with argument semantics) and specific output templates with placeholders, but lacks a complete worked example, matching anchor 4 rather than the copy-paste-ready anchor 5.

4 / 5

Workflow Clarity

A validation checkpoint with fix loop is present ("fix anything it flags below 70, then attach the final score to the Metrics Plan"), but the overall sequence is distributed across sections rather than presented as one ordered, numbered workflow, fitting anchor 4 instead of 5; the destructive/batch cap at 3 does not apply since an explicit validation step is present.

4 / 5

Progressive Disclosure

Structure is good and the Core Principles reference is clearly signaled one level deep ("→ See references/email-sequence-playbook.md"), but the referenced references/ and scripts/ directories do not exist in the bundle, so a core section defers to a missing file — a navigation gap that fits anchor 3 rather than 4.

3 / 5

Total

15

/

20

Passed

Description

90%Weight 40%Scale 1-5

Based on the skill's description, can an agent find and select it at the right time? Clear, specific descriptions lead to better discovery.

The description is strong: it clearly communicates purpose, provides a rich set of natural trigger terms, and includes explicit boundary guidance to avoid mis-triggering. Its only weakness is limited action specificity (only create/optimize).

DimensionReasoningScore

Specificity

The description names the domain and two concrete actions ("create or optimize") applied to several sequence types, but offers only 1-2 actions and is not comprehensive, matching anchor 3 rather than 4 which requires several distinct actions.

3 / 5

Completeness

It explicitly states what the skill does ("create or optimize an email sequence, drip campaign, automated email flow, or lifecycle email program") and when to use it ("Use when the user mentions…" with concrete trigger phrases), satisfying the anchor 5 requirement for both what and when.

5 / 5

Trigger Term Quality

It enumerates a comprehensive set of natural synonyms users would actually say ("email sequence," "drip campaign," "nurture sequence," "onboarding emails," "welcome sequence," "re-engagement emails," "email automation," "lifecycle emails"), matching the comprehensive-synonyms anchor 5.

5 / 5

Distinctiveness Conflict Risk

It carves a clear niche around email sequences with distinct triggers and adds explicit boundary guidance ("For in-app onboarding, see onboarding-cro"), minimizing conflict risk per anchor 5.

5 / 5

Total

18

/

20

Passed

Validation

93%

Checks the skill against the spec for correct structure and formatting. All validation checks must pass before discovery and implementation can be scored.

Validation15 / 16 Passed

Validation for skill structure

CriteriaDescriptionResult

referenced_paths_exist

Referenced path issues: 2 missing

Warning

Total

15

/

16

Passed

Repository
alirezarezvani/claude-skills
Reviewed

Table of Contents

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