From ai-analyst
Exports analysis results as Marp slides, executive emails, Slack updates, decision briefs, or CSV data. Invoke via /export [format] or phrases like 'export this' after analysis.
npx claudepluginhub ai-analyst-lab/ai-analyst-plugin --plugin ai-analystThis skill uses the workspace's default tool permissions.
Export analysis results in different formats for different audiences. Converts
Converts markdown knowledge work outputs to DOCX, PPTX, XLSX office documents using document-skills plugin. Auto-activates on export requests like 'export to Word' or 'create presentation from synthesis'.
Generates markdown and HTML reports from data with charts, tables, analysis, summaries, and recommendations. Handles CSV/JSON inputs; supports PDF export and comparisons.
Builds tools, scripts, dashboards, prototypes iteratively from simple starts. Uses HTML presentations, python-pptx decks, Playwright screenshots, Git worktrees, Node scripts.
Share bugs, ideas, or general feedback.
Export analysis results in different formats for different audiences. Converts pipeline outputs into ready-to-share deliverables.
/export or "export this as..." or "send this to..."/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
Check for completed analysis outputs in order of preference:
<workspace>/outputs/slides_*.md — latest deck<workspace>/outputs/analysis_*.md — latest narrative<workspace>/working/pipeline_summary.md — pipeline summary<workspace>/working/storyboard_*.md — storyboardIf no outputs exist:
<workspace>/working/ for partial results/run-analysis."Format: slides
<workspace>/outputs/slides_{DATE}.mdFormat: email
<workspace>/outputs/email_summary_{DATE}.mdExample:
Subject: Q2 Growth Update — Key Findings
Hi [Recipient],
Over the past quarter, we analyzed user growth patterns across all segments.
Here are the key findings:
**Key Finding:** Our organic segment grew 45% YoY, but our paid acquisition
channel saw a 12% decline due to increased competition. This shift has
reduced our overall CAC efficiency by 8%.
**Our Recommendation:** Shift 30% of paid budget from top-of-funnel ads
to product recommendations. Early testing shows a 3x improvement in
conversion for this channel.
What I need from you: Approval to reallocate the paid budget. I can have
the new strategy live by end of week.
Best,
[Your name]
Format: slack
<workspace>/outputs/slack_update_{DATE}.mdExample:
🎯 **Q2 Growth Analysis: Organic Up, Paid Down**
Key findings:
• Organic segment: +45% YoY (our strongest channel)
• Paid acquisition: -12% YoY (due to increased CPM)
• Overall CAC efficiency: -8% (needs correction)
Recommendation: Reallocate 30% of paid budget to product recommendations.
Early tests show 3x better conversion. We can launch by EOW.
Questions? Let me know in thread.
Format: brief
<workspace>/outputs/decision_brief_{DATE}.mdExample:
# Q2 Growth Analysis: Strategic Realignment
## Executive Summary
Our organic segment is thriving (+45% YoY), but our paid acquisition channel
is struggling (-12% YoY) due to increased CPM. To maintain growth while
improving profitability, we recommend reallocating 30% of paid budget to
product recommendations, which show 3x better conversion in early testing.
## Key Findings
1. **Organic Growth is Accelerating**
- Up 45% YoY across all segments
- Driven by brand awareness and word-of-mouth
- Highest margin channel
2. **Paid Acquisition is Under Pressure**
- Down 12% YoY due to increased CPM
- CAC increased 25% while conversion remained flat
- Requires strategic realignment
3. **Product Recommendations Are Underutilized**
- Early tests show 3x conversion improvement vs paid ads
- Current spend: $50K/month
- Potential upside: $150K/month at same CAC
## Recommendation
Reallocate 30% of paid budget ($75K/month) to product recommendations.
Expected outcome: +$150K/month incremental revenue, -20% overall CAC.
## Next Steps
1. Approve budget reallocation (this week)
2. Launch expanded product recommendations (next week)
3. Track performance weekly for 4 weeks
4. Optimize based on results
## Appendix
Data sources: Orders table, user_segments table, marketing_spend table
Methodology: Cohort analysis with 90-day lookback
Confidence: 85% (based on limited test sample)
Format: data
<workspace>/working/ as CSVs to <workspace>/outputs/data/<workspace>/outputs/data/ directoryFormat: all
Before exporting, ensure: