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dayparting-scheduler

Analyzes hour-of-day and day-of-week performance to create bid schedules and dayparting strategies. Use when optimizing ad schedules, analyzing time-based performance, setting bid modifiers, or creating dayparting heat maps.

Quality

82%

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SecuritybySnyk

Passed

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SKILL.md
Quality
Evals
Security

Quality

Content

63%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 skill delivers highly actionable, domain-specific content — executable queries, formulas, thresholds, and platform-specific guidance — organized in a clear section sequence with pre-apply validation checkpoints. Its weaknesses are token efficiency (promotional footer, duplicated schedules, oversized inline templates) and the absence of progressive disclosure, with hundreds of lines of reference data inlined directly in SKILL.md.

Suggestions

Move bulk reference data (industry peak-hours table, B2B/B2C and e-commerce schedule templates, platform capability matrix) into references/ files and keep SKILL.md as a concise overview linking to them one level deep.

Remove the promotional footer and deduplicate schedule listings — the worked example restates a full B2B schedule already covered by the default template section.

Add an explicit post-apply validation step to the workflow, e.g., compare CPA before/after over a 2-week window and revert modifiers if performance degrades.

DimensionReasoningScore

Conciseness

The body is mostly dense domain data Claude does not know (platform capability matrices, B2B/B2C schedules), but it carries a promotional footer, duplicates schedule patterns between the B2B defaults and the worked example, and includes two large ASCII template blocks that could be tightened. Fits 'mostly efficient but could be tightened' rather than the minor-trims anchor.

3 / 5

Actionability

Provides executable GAQL queries, a worked bid-modifier formula with a numeric example, concrete significance thresholds, a guardrail table, and step-by-step Meta workarounds. Minor gaps — placeholders like '%[campaign_pattern]%' and a manual ASCII heat map template instead of generation code — keep it below fully copy-paste-ready.

4 / 5

Workflow Clarity

Clear numbered workflow (collect data → significance check → calculate modifiers → apply within guardrails → review monthly) with an explicit data-sufficiency checkpoint and Smart Bidding do/don't guidance before touching live spend. It lacks an explicit post-apply validation loop (e.g., compare CPA before/after and revert), so it does not reach the feedback-loop anchor.

4 / 5

Progressive Disclosure

Sections are clearly headed and navigable, but a ~430-line body inlines bulk reference material — the industry peak-hours table, B2B/B2C schedule templates, platform capability matrix, and heat map templates — that belongs in separate reference files, with no bundle files or links at all. Structure exists, so it sits above the no-headers anchor but below well-split content.

3 / 5

Total

14

/

20

Passed

Description

92%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.

A strong description in third person that clearly states concrete capabilities and pairs them with an explicit 'Use when...' clause covering the main trigger scenarios. Keyword coverage is good with only a few natural synonyms missing.

DimensionReasoningScore

Specificity

Lists multiple specific concrete actions — 'Analyzes hour-of-day and day-of-week performance', 'create bid schedules', 'setting bid modifiers', 'creating dayparting heat maps' — with comprehensive coverage of the dayparting niche, matching the top anchor rather than leaving minor gaps.

5 / 5

Completeness

Explicitly answers both 'what' ('Analyzes hour-of-day and day-of-week performance to create bid schedules and dayparting strategies') and 'when' with concrete trigger phrases ('Use when optimizing ad schedules, analyzing time-based performance, setting bid modifiers, or creating dayparting heat maps'), exactly matching the top anchor.

5 / 5

Trigger Term Quality

Natural phrases like 'dayparting', 'ad schedules', 'bid modifiers', and 'time-based performance' give good keyword coverage, but common variations such as 'ad scheduling', 'hourly performance', or 'time of day' are absent, so it falls just short of the comprehensive-synonyms anchor.

4 / 5

Distinctiveness Conflict Risk

'Dayparting' and 'bid modifier schedules' define a clear niche with distinct triggers; a user asking for schedule or time-slot bid optimization would unambiguously land here, with minimal overlap risk against generic bidding or reporting skills.

5 / 5

Total

19

/

20

Passed

Validation

100%

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

Validation — 16 / 16 Passed

Validation for skill structure

No warnings or errors.

Repository

Synter-Media-AI/free-skills

Path

skills/dayparting-scheduler/SKILL.md

Reviewed

Table of Contents

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