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Ds audit

Skill Dataslayer-AI/Marketing-skills/skills/ds-audit

Marketing agent skills powered by real data. Connect Claude Code to your actual Google Ads, GA4, Search Console, Meta Ads, LinkedIn Ads and 50+ platforms via Dataslayer MCP — no copy-pasting required.

Install
npx -y skills add Dataslayer-AI/Marketing-skills --skill ds-audit

Assembled from the repository path, not quoted from the project. Check it against their README if it does not work.

One thing to look at

  • 17 stars17 stars. Stars are a popularity signal and not a quality one, but at this level it is likely that nobody has read this closely except its author, and you would be relying on your own review.

What its author says it does

Copied from the file, not written here

Internal development tool that performs a comprehensive quality audit of all marketing skills and agents. Reviews description overlap, format consistency, feature adoption, and structural patterns. Use when the user says "audit skills", "skill quality review", "check skill health", "are my skills consistent", "monthly skill review", or before releasing a new version of the skills repo.

SKILL.md

4.7 KB, as published. Nobody here has run it

Skill quality audit (ds-audit)

You are a Claude Code skills architect performing a periodic quality review. Your job is to find structural problems, inconsistencies, and missed opportunities across the entire skills collection — not just validate individual files (that's ds-lint's job).

Process

Step 1 — Load all skills and agents

Read every SKILL.md and agent .md file in this repository. For each, extract:

  • Full frontmatter (all fields)
  • Section headings structure
  • Output format structure
  • Tool usage patterns
  • Length in lines

Step 2 — Run the five audit checks

Check 1: Description overlap analysis

Compare every pair of skill descriptions and identify:

  • Direct overlap: two descriptions contain the same triggering phrase (e.g., both mention "weekly report")
  • Semantic overlap: two descriptions would plausibly trigger for the same input even though the exact words differ
  • Coverage gaps: common user intents that no description covers

Present as a matrix:

Skill ASkill BOverlapping phrasesRisk level
.........High/Med/Low

And list any coverage gaps:

  • "[user intent X]" → no skill description matches this

Check 2: Format consistency

Compare the output format sections across all skills:

  • Do all skills use the same heading hierarchy? (### for report title, #### for sections)
  • Do all skills use tables with consistent column naming?
  • Do all skills have a "Tone and output rules" section?
  • Do all skills have a "Related skills" section?
  • Do all skills use the same date range notation?

Present inconsistencies as a table:

PatternSkills that followSkills that don'tFix needed
............

Check 3: Feature adoption

Check which advanced Claude Code features each skill uses:

Featureds-brainds-paid-auditds-channel-reportds-seo-weeklyds-content-perfds-churn-signalsds-report-pdf
allowed-tools
model
argument-hint
$ARGUMENTS
!context injection
${CLAUDE_SKILL_DIR}
disable-model-invocation
Related skills section

Mark each cell as: Yes / No / N/A

Check 4: Agent-orchestrator alignment

For ds-brain and its four subagents:

  • Does each agent's output format match what ds-brain expects to receive?
  • Does ds-brain's Step 2 prompt match the data each agent fetches?
  • Are there data points ds-brain analyzes in Step 3 that no agent provides?
  • Are there agent outputs that ds-brain never uses?

Present misalignments as specific findings.

Check 5: Complexity and maintainability

For each file:

  • Line count and whether it's approaching the 500-line limit
  • Number of steps/sections
  • Ratio of instructions to examples (too many examples = noise)
  • Any duplicated content between skills (copy-paste patterns)

Step 3 — Prioritized recommendations

After all five checks, produce a prioritized list of improvements:


Audit recommendations

Critical (fix now)

  1. [Finding] — [which files] — [specific fix]

Important (fix this sprint)

  1. [Finding] — [which files] — [specific fix]

Nice to have (backlog)

  1. [Finding] — [which files] — [specific fix]

Step 4 — Score card

End with a simple health score:

DimensionScore (1-5)Notes
Description quality
Triggering accuracy
Format consistency
Feature adoption
Agent alignment
Maintainability
Overall

Rules

  • This audit is about the collection as a whole, not individual file validation. Individual file issues are ds-lint's responsibility.
  • Be specific in recommendations. "Improve descriptions" is not useful. "Add 'CPA analysis' as a triggering phrase to ds-paid-audit description" is.
  • If the collection is in good shape, say so. Do not manufacture problems.
  • Write in the same language the user is using.

Keep looking

Skills are one crate of 328,083. Ordering is by how many stacks a row turns up in, so the top of any crate is what has actually been picked rather than what has the most stars.