customer-win-back-sequencer

For churned accounts, research what has changed since they left — new funding, team growth, competitor dissatisfaction, product updates that address their pain — then assess re-engagement potential and generate a personalized win-back email sequence with timing recommendations. Chains web research and LinkedIn monitoring with email sequence generation.

Quality

87%

Does it follow best practices?

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Securityby

Low

Low-risk findings worth noting

Quality

Content

92%

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

A well-sequenced, highly actionable multi-phase workflow with concrete search strings, a scoring model, and ready-to-use email templates; its main weakness is that everything lives in one long monolithic file with no progressive disclosure to bundle references.

Suggestions

Move the Phase 3 email-sequence templates and the Phase 2 scoring rubric into reference files (e.g. references/email-templates.md, references/scoring.md) and link to them from a concise overview, so the SKILL.md body stays a lean overview.

Add an explicit verification checkpoint before sequence generation, e.g. confirm each email's claimed change is backed by a Phase 1 research finding, to strengthen the batch-generation feedback loop.

Dimension	Reasoning	Score
Conciseness	The body assumes Claude's competence — it never explains basic concepts like what email outreach or MRR is — and nearly every token earns its place as literal search strings, a scoring formula, or the email templates that are the skill's actual deliverable.	3 / 3
Actionability	Guidance is concrete and copy-paste ready: exact search-query strings, a fully specified Win-Back Score formula with factor ranges, complete email templates with placeholders, a structured output format, and a concrete save path.	3 / 3
Workflow Clarity	Phases 0–4 are explicitly sequenced, and the Phase 2 scoring tiers act as a gating checkpoint that decides downstream action while the "Accounts to Skip (and Why)" section serves as a verification step, satisfying the validation-checkpoint expectation for a batch research-and-generate workflow.	3 / 3
Progressive Disclosure	The skill is a single 340-line file with no bundle references, and the large inline email-template library (Phase 3) and scoring rubric are content that could plausibly be split into separate reference files, so structure exists but content that should be separate is inline.	2 / 3
	Total	11 / 12 Passed

Description

82%

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

A specific, third-person description that names concrete actions and uses natural win-back vocabulary, but it omits any explicit "Use when…" trigger clause, leaving the when-to-use guidance implied rather than stated.

Suggestions

Add an explicit trigger clause, e.g. "Use when re-engaging churned customers, building win-back campaigns, or monitoring churned accounts for changes that reopen the conversation."

Include common user phrasings like "win-back campaign", "churn list", or "bring back lapsed customers" to broaden trigger-term coverage.

Dimension	Reasoning	Score
Specificity	The description lists multiple concrete actions — "research what has changed", "assess re-engagement potential", "generate a personalized win-back email sequence with timing recommendations", and "Chains web research and LinkedIn monitoring with email sequence generation" — matching the anchor for listing multiple specific concrete actions rather than naming only a domain.	3 / 3
Completeness	It clearly answers "what does this do" but never states when Claude should invoke it; there is no "Use when…" clause or equivalent explicit trigger guidance, which per the judging guidelines caps completeness at 2.	2 / 3
Trigger Term Quality	It covers natural domain terms a user would say — "churned accounts", "win-back email sequence", "re-engagement potential", "competitor dissatisfaction" — giving good coverage of the phrasings a user reaches for when they need this skill.	3 / 3
Distinctiveness Conflict Risk	The churned-account win-back niche is narrow and distinct from general outreach or sales skills, with triggers unlikely to fire for the wrong skill.	3 / 3
	Total	11 / 12 Passed

Validation

93%

Warnings & errors only

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

Validation — 15 / 16 Passed

Validation for skill structure

Criteria	Description	Result
frontmatter_unknown_keys	Unknown frontmatter key(s) found; consider removing or moving to metadata	Warning

	Total	15 / 16 Passed

Repository: gooseworks-ai/goose-skills
Path: skills/outreach/composites/customer-win-back-sequencer/SKILL.md
Commit: 8866b2a

Reviewed: 1 day ago

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