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content-brief-factory

Generate detailed, differentiated content briefs at scale. Each brief includes SERP analysis, competing page breakdown, unique angles from real customer language (reviews, Reddit), internal linking plan, and SERP feature targets. Batch mode produces 10-50 briefs in one run. Crushes generic "keyword density" briefs from tools like Surfer or Clearscope.

64

Quality

77%

Does it follow best practices?

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SecuritybySnyk

Low

Low-risk findings worth noting

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tessl review fix ./skills/content/composites/content-brief-factory/SKILL.md
SKILL.md
Quality
Evals
Security

Quality

Content

87%

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

The content is highly actionable and concise with concrete commands and a complete brief template, and it is well-organized for navigation, but it lacks explicit validation checkpoints for its batch output workflow.

Suggestions

Add an explicit validation/checklist step in Phase 4 before finalizing batch output (e.g., verify each brief has metadata, differentiation angle, outline, and internal-linking plan).

Include a brief 'If a brief is incomplete: re-run the missing phase and regenerate' feedback loop to satisfy the batch-operations validation guideline.

DimensionReasoningScore

Conciseness

The body is lean and instructional — executable commands, an API example, and a copy-paste brief template — with no padding or explanations of concepts Claude already knows; every section earns its place.

3 / 3

Actionability

Provides concrete bash commands (catalog_content.py, scrape_reviews.py, search_reddit.py), a SerpAPI endpoint example, and a fully specified brief template with concrete fields — copy-paste ready rather than pseudocode.

3 / 3

Workflow Clarity

Phases 0–4 are clearly sequenced with a decision branch in Phase 1, but a batch operation producing 10–50 briefs has no explicit validation/checkpoint step before output, capping this at 2 per the batch-operations guideline.

2 / 3

Progressive Disclosure

Well-organized into clear single-level sections (When to Use, Phase 0–4, Cost, Tools) with no nested or multi-level references; the inline template is appropriate reference material and navigation is easy.

3 / 3

Total

11

/

12

Passed

Description

67%

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 specific and distinctive, listing concrete deliverables and a clear niche, but it omits any explicit 'Use when...' trigger guidance and favors jargon and marketing voice over natural user phrasings.

Suggestions

Add an explicit 'Use when...' trigger clause (e.g., 'Use when creating content briefs from keyword lists, planning a content calendar, or deciding what to write about a topic').

Soften the marketing voice ('Crushes generic keyword density briefs') in favor of natural trigger terms users would actually say.

Include common user phrasings such as 'what should we write about' or 'content calendar' to broaden trigger coverage.

DimensionReasoningScore

Specificity

Enumerates multiple concrete deliverables — 'SERP analysis, competing page breakdown, unique angles from real customer language (reviews, Reddit), internal linking plan, and SERP feature targets' — plus concrete batch scale ('10-50 briefs in one run').

3 / 3

Completeness

Answers 'what' thoroughly but provides no 'Use when...' clause or explicit trigger guidance, which caps completeness at 2 per the rubric guidelines.

2 / 3

Trigger Term Quality

Contains natural terms like 'content briefs' and 'briefs', but leans on jargon ('SERP feature targets', 'keyword density') and marketing voice ('Crushes generic...') rather than broad coverage of user phrasings.

2 / 3

Distinctiveness Conflict Risk

A clear niche (differentiated content briefs via SERP + customer-language mining) with concrete deliverables that distinguish it from adjacent SEO skills, making conflict unlikely.

3 / 3

Total

10

/

12

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

frontmatter_unknown_keys

Unknown frontmatter key(s) found; consider removing or moving to metadata

Warning

Total

15

/

16

Passed

Repository
gooseworks-ai/goose-skills
Reviewed

Table of Contents

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