Sgharlow@Claude Code Recipes

Clean and standardize messy tabular data (CSV, spreadsheet paste, system exports) into an analysis-ready dataset — consistent dates and names, typed columns, duplicates identified, missing values handled explicitly. Use when the user says "clean this data", "standardize this CSV", "dedupe this list", or pastes a table with inconsistent formatting.

Turn a process description into an operational quality-control checklist — binary pass/fail checks, acceptance criteria, critical-vs-routine tiers, and failure modes with catch-points. Use when the user says "build a QC checklist", "standardize how we review X", "acceptance criteria for this process", or describes quality varying by who does the work.

Synthesize multiple sources — articles, reports, notes, transcripts — into one structured brief with themes, agreements, contradictions, and gaps. Use when the user says "synthesize this research", "combine these sources", "what do these articles agree on", or has a folder of collected material and needs one coherent picture.

Summarize a long document into an executive summary, key points, and role-specific implications. Use when the user says "summarize this document", "give me the key points", "do I need to read this?", or drops a long PDF, report, or contract and asks what matters in it.

Turn scattered weekly updates (notes, emails, task exports, meeting notes) into a structured status report with highlights, progress, severity-rated blockers, and next-week priorities. Use when the user says "write my status report", "weekly update", "summarize my week for my manager", or pastes a raw dump of what happened this week.

Turn raw meeting notes into a shareable summary, an action-item table with owners and deadlines, and follow-up email drafts. Use when the user says "process my meeting notes", "extract action items", "who owns what from this meeting", or "draft the follow-ups" — or pastes messy notes right after a meeting.