ai-analyst-lab/.claude/skills/export

Skill: Export

Purpose

Export analysis results in different formats for different audiences. Converts pipeline outputs into ready-to-share deliverables.

When to Use

• User says /export or "export this as..." or "send this to..."
• After completing an analysis or pipeline run
• When the user needs results in a specific format

Invocation

/export slides — generate/refresh Marp slide deck from latest analysis /export email — write an executive summary email (markdown) /export slack — write a concise Slack update (markdown) /export brief — write a 1-page decision brief (markdown) /export data — export analysis data tables as CSV /export all — generate all text formats + data

Instructions

Step 1: Find Source Material

Check for completed analysis outputs in order of preference:

1. outputs/slides_*.md — latest deck
2. outputs/analysis_*.md — latest narrative
3. working/pipeline_summary.md — pipeline summary
4. working/storyboard_*.md — storyboard

If no outputs exist:

• Check working/ for partial results
• If nothing found: "No analysis results to export. Run an analysis first or use /run-pipeline."

Step 2: Generate Requested Format

Format: slides

• If deck already exists, ask: "Deck found at {path}. Regenerate or export as-is?"
• If no deck, invoke Deck Creator agent with latest narrative + charts
• Output: outputs/slides_{DATE}.md

Format: email

• Structure: Subject line + 3-paragraph body (context, key finding, recommendation)
• Tone: Executive-friendly, no jargon, action-oriented
• Include: 1-2 key numbers, the "so what", and a clear ask
• Output: outputs/email_summary_{DATE}.md

Format: slack

• Structure: Bold headline + 3-5 bullet points + thread-friendly
• Keep under 300 words
• Use emoji sparingly (checkmarks, arrows only)
• Include: key metric, direction, and recommended action
• Output: outputs/slack_update_{DATE}.md

Format: brief

• Structure: Title + Executive Summary (3 sentences) + Key Findings (numbered) + Recommendation + Next Steps + Appendix (data sources, methodology)
• 1 page target (~500 words)
• Output: outputs/decision_brief_{DATE}.md

Format: data

• Export all DataFrames from working/ as CSVs to outputs/data/
• Include a README listing each file and its contents
• Output: outputs/data/ directory

Format: all

• Run email + slack + brief + data sequentially
• Skip slides if already exists

Step 3: Post-Export

• List all exported files with paths
• Suggest: "Copy the email to your clipboard?" or "Want to adjust the tone?"

Rules

1. Never fabricate findings — only use data from actual analysis outputs
2. Always cite the source analysis date and dataset
3. Adapt detail level to format (email = high-level, brief = medium, data = raw)
4. Apply Stakeholder Communication skill for all text outputs
5. If the analysis had confidence scores, include them in brief format

Edge Cases

• Partial analysis: Export what's available, note gaps: "Note: validation step was not completed."
• Multiple analyses in outputs/: Use the most recent by date, or ask user which one
• Charts missing: Text formats still work, note: "Charts not available for this export."
• User requests unknown format: List available formats and ask to choose