social-media-analyzer

Social media campaign analysis and performance tracking. Calculates engagement rates, ROI, and benchmarks across platforms. Use when analyzing social media performance, calculating engagement rate, measuring campaign ROI, comparing platform metrics, or benchmarking against industry standards. Also use when the user mentions "social media audit," "engagement rate," or "which platform performs best."

Quality

85%

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Quality

Content

81%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.

A well-structured, highly actionable skill body with clear workflows and validation. The main weakness is mild verbosity from duplicated reference descriptions and boilerplate sections that could be trimmed.

Suggestions

Remove or condense the 'Reference Documentation' section that re-lists the contents of references/platform-benchmarks.md, since the file is already linked inline above — keep only the link.

Trim the 'Communication' boilerplate ('All output passes quality verification...') and consolidate it into the workflow rather than a standalone section that adds tokens without new capability.

Consider moving the full platform benchmark tables into references/platform-benchmarks.md and keeping only the engagement-rate summary inline, reducing duplication between the body and the reference file.

Dimension	Reasoning	Score
Conciseness	Mostly efficient tables and formulas, but the 'Reference Documentation' section re-describes the contents of platform-benchmarks.md inline, and 'Communication'/'Proactive Triggers' boilerplate adds tokens that do not earn their place.	3 / 5
Actionability	Fully executable guidance: concrete commands ('python scripts/calculate_metrics.py assets/sample_input.json'), formula tables, platform benchmark tables, and complete sample input/output cover the common cases.	5 / 5
Workflow Clarity	The 8-step Analysis Workflow is clearly sequenced with explicit validation (step 8 'Validation: Engagement rate < 100%, ROI matches spend data') plus a Data Validation Checks checklist, providing strong checkpoints for this batch-analysis skill.	5 / 5
Progressive Disclosure	Good structure with one-level-deep, clearly signaled references to references/platform-benchmarks.md and verified bundle files; minor gap is the redundant inline re-listing of benchmark-file contents in the 'Reference Documentation' section.	4 / 5
	Total	17 / 20 Passed

Description

88%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, specific description that clearly states capabilities and provides explicit trigger guidance. It is well-distinguished from adjacent analytics skills and uses appropriate third-person voice.

Dimension	Reasoning	Score
Specificity	Lists multiple concrete actions ('Calculates engagement rates, ROI, and benchmarks across platforms', 'analyzing social media performance', 'measuring campaign ROI') with comprehensive coverage of the skill's capabilities.	5 / 5
Completeness	Explicitly answers both 'what' (analysis, engagement rates, ROI, benchmarks) and 'when' with concrete 'Use when...' and 'Also use when...' trigger phrases.	5 / 5
Trigger Term Quality	Strong coverage of natural phrases ('engagement rate', 'campaign ROI', 'social media audit', 'which platform performs best'), though it omits some common synonyms and platform-name variations a user might naturally say.	4 / 5
Distinctiveness Conflict Risk	Clear niche (social media campaign performance analysis) with distinct triggers and minimal overlap risk; minor overlap possible with general marketing-analytics skills.	4 / 5
	Total	18 / 20 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: alirezarezvani/claude-skills
Path: marketing-skill/skills/social-media-analyzer/SKILL.md
Commit: 19392f7

Reviewed: ~2 hours ago

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