ad-campaign-analyzer

Analyze ad campaign performance data (Google, Meta, LinkedIn) to identify what's working, what's wasting budget, and specific cut/scale/test recommendations. Runs statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling.

Quality

66%

Does it follow best practices?

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Securityby

Passed

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tessl review fix ./skills/ads/composites/ad-campaign-analyzer/SKILL.md

Quality

Content

65%

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 with concrete templates, thresholds, and a clear phased workflow, but it is a monolithic document with no progressive disclosure and lacks validation checkpoints for its consequential reallocation/pause operations. Splitting the large output template into a reference file and adding data-validation steps would raise the lower dimensions.

Suggestions

Add explicit validation checkpoints — e.g., verify data completeness/normalization before diagnostics, and confirm budget shifts are budget-neutral before output — to satisfy the workflow-clarity requirement for batch/consequential operations.

Move the full Phase 5 output-format template into a reference file (e.g., references/output-template.md) and link to it one level deep, keeping SKILL.md a concise overview.

Trim the 'Core principle' and intro framing to the essential decision-making framing, removing generalized commentary about how founders react to dashboards.

Dimension	Reasoning	Score
Conciseness	The body is mostly lean structured tables and templates, but the 'Core principle' paragraph and intro frame concepts a paid-media specialist already knows (e.g., 'Most startup founders check their ad dashboard, see a ROAS number, and either panic or celebrate') that could be trimmed.	2 / 3
Actionability	Provides highly actionable, specific guidance: ingestion column maps, health-check tables with benchmarks, waste signals paired with actions, statistical-significance templates with explicit sample-size minimums (100 clicks, 30 conversions), and a complete output-format template.	3 / 3
Workflow Clarity	Phases 0-5 are clearly sequenced, but validation/verification checkpoints are absent for consequential batch operations (pausing/scaling campaigns, budget reallocation), capping workflow clarity at 2 per the rubric.	2 / 3
Progressive Disclosure	No bundle files exist and the entire ~340-line skill is a single monolithic document; sections are well-organized with headers, but the large output template and detailed phase tables are inline rather than split into one-level-deep references.	2 / 3
	Total	9 / 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 with concrete actions and a clear niche, but it lacks an explicit 'Use when' trigger clause and misses common ad-spend vocabulary (ROAS, CPA, ad spend). Adding a trigger clause and a few natural user phrases would lift completeness and trigger quality.

Suggestions

Add an explicit 'Use when...' clause naming trigger situations (e.g., 'Use when analyzing ad campaign performance, deciding which ads to cut or scale, or reallocating budget across Google/Meta/LinkedIn').

Incorporate natural user vocabulary such as ROAS, CPA, and 'ad spend' that founders and marketers actually say.

Tighten the second sentence slightly so the dollar-amount/scenario-modeling detail doesn't pad the core capability statement.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions: 'identify what's working, what's wasting budget, and specific cut/scale/test recommendations' plus 'statistical analysis, funnel diagnostics, and multi-channel budget reallocation with specific dollar-amount shift recommendations and scenario modeling'.	3 / 3
Completeness	Clearly answers 'what' the skill does, but lacks an explicit 'Use when...' trigger clause; the 'when' is only implied, so per the rubric guideline completeness is capped at 2.	2 / 3
Trigger Term Quality	Includes natural terms like 'ad campaign performance', 'wasting budget', 'cut/scale/test', and 'budget reallocation', but omits common variations users say such as ROAS, CPA, ad spend, and 'which ads should I kill'.	2 / 3
Distinctiveness Conflict Risk	A clear niche — multi-channel (Google/Meta/LinkedIn) ad analysis and budget reallocation — with distinct triggers unlikely to conflict with unrelated skills.	3 / 3
	Total	10 / 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/ads/composites/ad-campaign-analyzer/SKILL.md
Commit: 8866b2a

Reviewed: 2 days ago

Table of Contents

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