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competitor-ad-intelligence

Scrape competitor ads from Meta, TikTok, Google, and LinkedIn ad libraries, analyze creative patterns (hooks, formats, CTAs), reverse-engineer landing page funnels, and produce a strategic teardown with vulnerability analysis and counter-play recommendations. Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses in a competitor's paid strategy.

69

Quality

85%

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SecuritybySnyk

Low

Low-risk findings worth noting

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 body is a well-sequenced, largely actionable multi-phase workflow with concrete endpoints and useful taxonomies, weakened mainly by duplicated trigger sections, unspecified TikTok/LinkedIn endpoints, and a monolithic structure with a large inlined report template.

Suggestions

Consolidate the 'When to Use' and 'Trigger Phrases' sections into one list to remove near-duplicate content and tighten token use.

Specify concrete TikTok and LinkedIn ad-library endpoint paths (as done for Meta and Google) instead of deferring to 'the official provider reference', or point to a bundled reference file with the resolved operations.

Add an explicit coverage-verification checkpoint before Phase 5 (e.g., 'confirm each competitor returned ads; if zero, retry via web search or alternate name') to satisfy batch-operation validation, and consider moving the full Phase 8 report template into a references/ file linked from the body.

DimensionReasoningScore

Conciseness

Mostly efficient tactical guidance (endpoint YAML, field checklists, taxonomies), but the 'When to Use' list and the closing 'Trigger Phrases' list are near-duplicates, and the intro/Core-principle paragraph restates the description — minor instances that could be trimmed, so just below a 5.

4 / 5

Actionability

Highly concrete for Meta and Google (explicit endpoint paths, per-ad field lists, hook/CTA taxonomies), but TikTok and LinkedIn phases defer to 'resolve the current... operations from the official provider reference' rather than specifying endpoints — a minor gap keeping it below 5.

4 / 5

Workflow Clarity

Clear Phases 0–8 sequence with several checkpoints (documented fallbacks, marking fallback records, coverage summary, message-match scoring), but verification gates are scattered rather than explicit 'validate then proceed' steps, leaving minor validation gaps for a batch operation.

4 / 5

Progressive Disclosure

Well-organized in-file structure (phases, tables, headers) but entirely monolithic — no bundle files exist and the large inlined Phase 8 report template (~150 lines) could live in a separate reference, matching the score-3 anchor of 'content that should be separate is inline'.

3 / 5

Total

15

/

20

Passed

Description

100%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 third-person, concrete, and explicitly covers both capability and trigger conditions with natural phrasing. It is comprehensive, distinguishable, and free of vague fluff or over-claims.

DimensionReasoningScore

Specificity

Lists multiple concrete actions — 'Scrape competitor ads', 'analyze creative patterns (hooks, formats, CTAs)', 'reverse-engineer landing page funnels', 'produce a strategic teardown with vulnerability analysis and counter-play recommendations' — covering the domain comprehensively, matching the score-5 anchor.

5 / 5

Completeness

Explicitly answers both 'what' (scrape, analyze, reverse-engineer, produce teardown) and 'when' via the concrete 'Use when you need to understand the competitive ad landscape, find new creative directions, or identify weaknesses...' clause, matching the score-5 anchor with concrete trigger phrases.

5 / 5

Trigger Term Quality

Natural terms users would say are well covered — 'competitor ads', 'ad libraries', 'creative patterns', 'hooks', 'landing page funnels', 'competitive ad landscape', 'creative directions', 'weaknesses', 'paid strategy' — including synonyms and channel-specific phrasing.

5 / 5

Distinctiveness Conflict Risk

Occupies a clear niche — competitor ad-library intelligence across Meta/TikTok/Google/LinkedIn with distinctive triggers — making it unlikely to fire for unrelated skills; minimal conflict risk.

5 / 5

Total

20

/

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

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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