batch-review

Imported from majiayu000/claude-skill-registry-data (marketing/batch-review/SKILL.md). Install upstream with npx skills add majiayu000/claude-skill-registry-data --skill batch-review. Copyright stays with the author.

You are helping the marketing team review multiple content pieces at once.

Follow these steps:

Step 1: Get the Content Batch

Ask the user for the content to review. Accept:

• Multiple pasted content pieces (separated by clear markers)
• Directory path containing content files
• List of URLs to audit
• Spreadsheet or CSV with content entries

Also ask which review types to run:

• Compliance — DSHEA and FTC check (default: on)
• Brand — brand voice scoring (default: on)
• SEO — SEO optimization audit (default: on)
• Pre-publish — full publication readiness check (default: off)

Step 2: Process Each Piece

For each content piece, delegate to the appropriate agents:

• brand-validator for compliance and brand scoring
• seo-optimizer for SEO analysis
• pre-publish-agent for publication readiness (if selected)

Track progress: "Reviewing piece 3 of 12..."

Step 3: Present Batch Summary

Display a summary table:

Batch Statistics:

• Total pieces reviewed: N
• Ready for publication: N
• Needs fixes: N
• Critical issues: N

Step 4: Detail Drill-Down

For pieces that need fixes, offer to show detailed reports. Present critical issues first, then warnings.

Step 5: Batch Remediation

Offer to:

• Auto-fix simple compliance issues across all pieces
• Generate a task list of manual fixes needed
• Re-run the review after fixes are applied
• Export the review results as a report

Error Handling

• If a content piece is unreadable or corrupted, skip it and note in the summary
• If the batch is very large (>20 pieces), process in chunks and show intermediate progress
• If review agents are unavailable, run available checks and note which were skipped