AGENT SKILLBY MANOJBAJAJ95
Executive dashboard generator
AT A GLANCE
Executive dashboard generator is an analytics skill for AI agents. Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. The manojbajaj95/claude-gtm-plugin repository on GitHub, maintained by manojbajaj95, has 74 stars and the MIT license. To add it, run npx skills add manojbajaj95/claude-gtm-plugin --skill executive-dashboard-generator
- SOURCE REPOSITORY
- manojbajaj95/claude-gtm-plugin (opens GitHub in a new tab)
- REPO STARS
- SOURCE REPOSITORY
- LICENSE
- MIT
- CATEGORIES
- SKILL.MD SIZE
- 12.9 KB444 LINES
QUICK ANSWER
- WHAT IT IS01
- Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. Its edge is a particular angle on marketing analytics, giving the agent tighter constraints than a plain executive dashboard generator request.
- INPUTS02
- Context for marketing analytics: your goals, audience, constraints, and any source material the skill asks for.
- OUTPUT03
- A ready-to-use result for marketing analytics: the analysis, copy, or recommendations the agent produces.
INSTALL
One command adds this skill from its source repository.
npx skills add manojbajaj95/claude-gtm-plugin --skill executive-dashboard-generatorREAD THE SKILL.MD BELOW BEFORE YOU RUN IT. SKILLS INSTRUCT YOUR AGENT.
SKILL.MD
The full file, as published in the source repository. Copy it, download it or open it on GitHub.
ON THIS PAGE · 9
Executive Dashboard Generator#
Workspace Context#
Read bootstrap context before asking questions: strategy/brand.md for brand, audience, offer, channels, tools, constraints, and metrics; about/me.md for personal voice; content/ideas.md and content/calendar.md for content planning. Use legacy product-marketing context files only as fallback. Save generated drafts to content/<platform>/drafts/YYYY-MM-DD_short-topic-slug.md, and route durable learnings back to strategy/brand.md, about/me.md, or content/ideas.md.
Operating Contract#
This skill is self-contained for its frontmatter scope: use its local instructions, references, scripts, and assets as the playbook; ask only for missing task-specific inputs; hand off to adjacent skills instead of expanding scope; and return an actionable artifact, decision, plan, draft, or diagnostic.
Turn raw data into executive-ready insights with visualizations and recommendations.
Instructions#
You are an expert data analyst and business intelligence specialist who transforms raw data into compelling executive narratives. Your mission is to take complex datasets and distill them into clear, actionable insights that drive decision-making at the highest levels.
Core Capabilities#
Data Input Handling:
- CSV files (single or multiple)
- Excel spreadsheets (.xlsx, .xls)
- Google Sheets links
- Database query results
- JSON/API responses
- Text-based data tables
Analysis Types:
-
Financial Performance
- Revenue trends and growth rates
- Cost analysis and burn rate
- Profitability metrics
- Budget vs. actuals
- Cash flow analysis
-
Sales & Marketing
- Pipeline health and conversion rates
- Customer acquisition costs (CAC)
- Lifetime value (LTV)
- Channel performance
- Campaign ROI
-
Operations
- KPI tracking and goal achievement
- Process efficiency metrics
- Resource utilization
- Quality metrics
- Capacity planning
-
Customer Metrics
- Churn and retention rates
- NPS and satisfaction scores
- Support ticket trends
- Feature adoption
- User engagement
Workflow#
-
Data Discovery
- Identify data sources and structure
- Understand date ranges and granularity
- Recognize key metrics and dimensions
- Detect data quality issues
- Map relationships between datasets
-
Analysis Framework
- Calculate period-over-period changes
- Identify trends and patterns
- Find outliers and anomalies
- Perform cohort analysis
- Create benchmarks and targets
-
Insight Generation
- Synthesize findings into key messages
- Prioritize by business impact
- Connect metrics to business outcomes
- Develop action recommendations
- Flag risks and opportunities
-
Visualization Strategy
- Choose appropriate chart types
- Design for executive readability
- Maintain visual hierarchy
- Use color effectively
- Ensure mobile responsiveness
Output Format#
# Executive Dashboard: [Report Title]
**Period**: [Date Range] | **Generated**: [Date] | **Status**: [🔴 Attention Needed / 🟡 Monitor / 🟢 On Track]
---
## 📊 Executive Summary
**Overall Performance**: [One-sentence verdict]
**Key Highlights**:
- ✅ [Positive achievement with metric]
- ✅ [Another win with specific number]
- ⚠️ [Area of concern with context]
- 🔴 [Critical issue requiring attention]
**Bottom Line**: [Two-sentence conclusion with action needed]
---
## 🎯 Critical Metrics Dashboard
### Performance Scorecard
| Metric | Current | Previous Period | Change | Target | Status |
|--------|---------|----------------|--------|--------|--------|
| Revenue | $X.XM | $X.XM | +X% 📈 | $X.XM | 🟢 |
| Customers | X,XXX | X,XXX | +X% 📈 | X,XXX | 🟢 |
| Churn Rate | X.X% | X.X% | -X% 📉 | <X% | 🟡 |
| CAC | $XXX | $XXX | +X% 📈 | $XXX | 🔴 |
| Burn Rate | $XXX K | $XXX K | -X% 📉 | $XXX K | 🟢 |
**Key**: 🟢 On/Above Target | 🟡 Monitor | 🔴 Below Target
---
## 📈 Trend Analysis
### Revenue Trajectory
visualization: line chart x-axis: months y-axis: revenue data points: [detailed monthly data] trend line: included annotation: highlight significant events
**Insight**: [2-3 sentences explaining the trend, what's driving it, and projection]
**Chart Description**: Revenue has grown X% QoQ, from $X.XM in [Month] to $X.XM in [Month]. The acceleration in [specific month] was driven by [reason]. At current growth rate, we project $X.XM by [future date].
---
### Customer Acquisition & Retention
visualization: dual-axis chart left y-axis: new customers (bars) right y-axis: churn rate (line) x-axis: months
**Insight**: [Analysis of acquisition vs. retention balance]
**Key Finding**: New customer acquisition is [strong/weak/steady] at XXX per month (+X% MoM), but churn increased to X.X% in [month], driven by [specific reason from data]. Net customer growth is XXX per month.
---
### Channel Performance
visualization: stacked bar chart or treemap categories: [Marketing channels] metric: revenue contribution and ROI
| Channel | Revenue | % of Total | Cost | ROI | Trend |
|---------|---------|-----------|------|-----|-------|
| Organic Search | $XXX K | XX% | $X K | XX:1 | 📈 |
| Paid Social | $XXX K | XX% | $XX K | X:1 | 📉 |
| Direct | $XXX K | XX% | $X K | N/A | ➡️ |
| Referral | $XXX K | XX% | $X K | XX:1 | 📈 |
| Email | $XXX K | XX% | $X K | XX:1 | ➡️ |
**Insight**: [Which channels are performing, which need optimization]
---
## 🔍 Deep Dive: [Most Important Finding]
### The Issue/Opportunity
**What We're Seeing**: [Describe the pattern or anomaly in data]
**By The Numbers**:
- [Specific metric 1]: [Value] ([% change])
- [Specific metric 2]: [Value] ([% change])
- [Specific metric 3]: [Value] ([% change])
**Why It Matters**: [Business impact and implications]
**Root Cause Analysis**:
1. **Primary Factor**: [What data shows is the main driver]
- Supporting data: [Specific numbers]
- Time frame: [When it started/changed]
2. **Contributing Factors**:
- [Factor 2 with evidence]
- [Factor 3 with evidence]
**Projected Impact**: If trend continues, [describe future state with numbers]
---
## 💡 Strategic Recommendations
### Priority 1: [Action Item Title] 🔴 URGENT
**Situation**: [What the data shows]
**Action**: [Specific recommendation]
**Expected Impact**: [Projected improvement with numbers]
**Timeline**: [When to implement and see results]
**Owner**: [Recommended department/role]
**Resources Required**: [Budget, people, tools needed]
**Supporting Data**:
- [Metric 1] currently at [value], target is [value]
- [Metric 2] trending [direction], showing [pattern]
- Industry benchmark is [value], we're at [value]
---
### Priority 2: [Action Item Title] 🟡 IMPORTANT
**Situation**: [What the data shows]
**Action**: [Specific recommendation]
**Expected Impact**: [Projected improvement]
**Timeline**: [Implementation timeline]
**Owner**: [Department/role]
**Resources Required**: [What's needed]
---
### Priority 3: [Action Item Title] 🟢 OPPORTUNITY
**Situation**: [What the data shows]
**Action**: [Specific recommendation]
**Expected Impact**: [Projected improvement]
**Timeline**: [Timeline]
**Owner**: [Department/role]
---
## 📋 Departmental Scorecards
### Sales Performance
| Metric | Current | Target | Status | Insight |
|--------|---------|--------|--------|---------|
| Pipeline Value | $X.XM | $X.XM | 🟢 | Up X% from last quarter |
| Win Rate | XX% | XX% | 🟡 | Declined X% due to [reason] |
| Sales Cycle | XX days | XX days | 🟢 | Improved by X days |
| Avg Deal Size | $XX K | $XX K | 🔴 | Down X% need pricing review |
**Overall**: [One sentence summary of sales health]
---
### Marketing Performance
| Metric | Current | Target | Status | Insight |
|--------|---------|--------|--------|---------|
| Leads Generated | X,XXX | X,XXX | 🟢 | X% above target |
| MQL Conversion | XX% | XX% | 🟡 | Quality needs improvement |
| CAC | $XXX | $XXX | 🔴 | Up X% from paid channels |
| Website Traffic | XXX K | XXX K | 🟢 | Organic growth strong |
**Overall**: [One sentence summary of marketing performance]
---
### Customer Success
| Metric | Current | Target | Status | Insight |
|--------|---------|--------|--------|---------|
| NPS Score | XX | XX | 🟢 | Improved X points |
| Churn Rate | X.X% | X.X% | 🔴 | Above target, investigate |
| Support SLA | XX% | XX% | 🟢 | Meeting commitments |
| Expansion Revenue | $XXX K | $XXX K | 🟡 | Slightly below plan |
**Overall**: [One sentence summary of CS health]
---
## 🎲 Scenario Planning
### Best Case Scenario (25% probability)
**Assumptions**: [What needs to go right]
**Projected Outcomes**:
- Revenue: $X.XM (X% growth)
- Customers: X,XXX (X% growth)
- [Other key metrics]
**Triggers**: [Early indicators this is happening]
---
### Expected Scenario (50% probability)
**Assumptions**: [Current trends continue]
**Projected Outcomes**:
- Revenue: $X.XM (X% growth)
- Customers: X,XXX (X% growth)
- [Other key metrics]
**Confidence Level**: [High/Medium based on data stability]
---
### Risk Scenario (25% probability)
**Assumptions**: [What concerns materialize]
**Projected Outcomes**:
- Revenue: $X.XM (X% growth/decline)
- Customers: X,XXX (X% growth/decline)
- [Other key metrics]
**Mitigation Plans**: [What to do if this happens]
---
## 🚨 Risk Flags
### High Risk
**[Risk Title]**
- **Severity**: High 🔴
- **Data Signal**: [Specific metric and threshold]
- **Impact**: [Business consequence if not addressed]
- **Recommendation**: [Immediate action required]
### Medium Risk
**[Risk Title]**
- **Severity**: Medium 🟡
- **Data Signal**: [What data is showing]
- **Impact**: [Potential consequence]
- **Recommendation**: [Action to monitor/address]
---
## 📅 Next Period Outlook
### Goals for [Next Period]
**Primary Objectives**:
1. [Objective 1] - Target: [Specific metric goal]
2. [Objective 2] - Target: [Specific metric goal]
3. [Objective 3] - Target: [Specific metric goal]
**Key Initiatives to Support Goals**:
- [Initiative 1]: [Expected impact]
- [Initiative 2]: [Expected impact]
- [Initiative 3]: [Expected impact]
**Metrics to Watch**:
- [Metric 1]: Current [value], Target [value]
- [Metric 2]: Current [value], Target [value]
- [Metric 3]: Current [value], Target [value]
---
## 📎 Appendix: Data Details
### Data Sources
- **Source 1**: [File name, date range, rows]
- **Source 2**: [File name, date range, rows]
- **Last Updated**: [Date and time]
### Methodology
- **Period Comparison**: [How you're comparing periods]
- **Calculations**: [Any custom formulas or aggregations]
- **Exclusions**: [Any data filtered out and why]
- **Data Quality Notes**: [Any issues or caveats]
### Glossary
- **[Term 1]**: [Definition]
- **[Term 2]**: [Definition]
- **[Term 3]**: [Definition]
---
## 🔄 Report Metadata
- **Report ID**: [Unique identifier]
- **Version**: [Version number]
- **Created By**: Executive Dashboard Generator (AI)
- **Review By**: [Designated human reviewer]
- **Distribution**: [Who should receive this]
- **Next Report**: [When is next update]
- **Questions**: [Contact for clarifications]
Best Practices#
- Lead with Insights, Not Data: Start with "what this means" not "what the numbers are"
- Use Traffic Light System: 🟢🟡🔴 for instant visual status
- Show Trends, Not Points: Context matters more than single numbers
- Be Specific with Recommendations: "Increase X by Y% using Z approach" not "Improve X"
- Include Forward-Looking View: Executives care about what's coming
- Highlight Outliers: Call attention to anomalies and explain them
- Connect to Business Goals: Tie metrics back to strategy
- Keep It Scannable: Use bullets, tables, and visual breaks
Visualization Guidelines#
For Executives, Use:
- ✅ Line charts (trends over time)
- ✅ Bar charts (comparisons)
- ✅ KPI cards (single metrics)
- ✅ Traffic light indicators
- ✅ Simple tables with conditional formatting
Avoid:
- ❌ Pie charts with >5 slices
- ❌ 3D charts
- ❌ Overly complex visualizations
- ❌ Charts without clear titles
- ❌ Confusing color schemes
Common Use Cases#
Trigger Phrases:
- "Turn these spreadsheets into an executive report"
- "Create a dashboard from this data"
- "Summarize this data for the board meeting"
- "Build an executive summary from these CSVs"
- "Analyze this data and provide recommendations"
Example Request:
"I have 10 CSV files with sales data, marketing spend, and customer metrics from the last 6 months. Create an executive dashboard with key insights and recommendations for our board meeting."
Response Approach:
- Ask clarifying questions about business context
- Request the data files or links
- Analyze the data for patterns and insights
- Create comprehensive dashboard with visualizations
- Prioritize actionable recommendations
- Include scenario planning and risk assessment
Remember: Executives want answers to "So what?" and "What should we do?" - not raw data!
FAQ
07 QUESTIONS
01What is the Executive dashboard generator agent skill?
Transform raw data from CSVs, Google Sheets, or databases into executive-ready reports with visualizations, key metrics, trend analysis, and actionable recommendations. Creates data-driven narratives for leadership. It is listed under analytics in the 100xLab agent skills directory.
02How do I install Executive dashboard generator in Cursor, Claude Code, or Codex?
Run npx skills add manojbajaj95/claude-gtm-plugin --skill executive-dashboard-generator in the project where you want it, then ask your agent for the skill by name. The --skill flag installs only Executive dashboard generator, not every skill in the repository.
03What does the Executive dashboard generator SKILL.md cover?
The SKILL.md includes sections on Workspace Context, Operating Contract, Instructions, Core Capabilities, Workflow and Output Format. Read the full text on this page or in plain markdown at /resources/agent-skills/manojbajaj95-claude-gtm-plugin--executive-dashboard-generator--14mu4nl/raw.
04Which agents can use Executive dashboard generator?
Executive dashboard generator installs with the cross-agent skills installer (npx skills add), which sets it up for agents such as Claude Code, Cursor and Codex. Each agent loads the SKILL.md when you ask for the skill by name.
05What license is Executive dashboard generator under?
The manojbajaj95/claude-gtm-plugin repository declares the MIT license. Read the license file in the repository before you copy or redistribute the skill.
06Is Executive dashboard generator free to use?
Reading, copying and installing Executive dashboard generator costs nothing: it is published in a public GitHub repository under the MIT license. Reuse and redistribution follow that license.
07Where is the source of Executive dashboard generator?
Executive dashboard generator comes from https://github.com/manojbajaj95/claude-gtm-plugin, which has 74 GitHub stars. The SKILL.md is at https://github.com/manojbajaj95/claude-gtm-plugin/blob/HEAD/skills/executive-dashboard-generator/SKILL.md. The author is manojbajaj95.
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ATTRIBUTION
Executive dashboard generator was written by its original authors and is published in manojbajaj95/claude-gtm-plugin (opens GitHub in a new tab) under the MIT license. All rights stay with the original authors.
100xLab did not write, maintain or endorse this skill. This page lists it for discovery. Repo stars belong to the source repository, not to the skill. Review any skill before you install it.