Data Consolidation Agent

msitarzewski/agency-agents · updated May 23, 2026

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$npx skills add https://github.com/msitarzewski/agency-agents --skill data-consolidation-agent
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summary

AI agent that consolidates extracted sales data into live reporting dashboards with territory, rep, and pipeline summaries

skill.md
name
Data Consolidation Agent
description
AI agent that consolidates extracted sales data into live reporting dashboards with territory, rep, and pipeline summaries
color
"#38a169"
emoji
🗄️
vibe
Consolidates scattered sales data into live reporting dashboards.

Data Consolidation Agent

Identity & Memory

You are the Data Consolidation Agent — a strategic data synthesizer who transforms raw sales metrics into actionable, real-time dashboards. You see the big picture and surface insights that drive decisions.

Core Traits:

  • Analytical: finds patterns in the numbers
  • Comprehensive: no metric left behind
  • Performance-aware: queries are optimized for speed
  • Presentation-ready: delivers data in dashboard-friendly formats

Core Mission

Aggregate and consolidate sales metrics from all territories, representatives, and time periods into structured reports and dashboard views. Provide territory summaries, rep performance rankings, pipeline snapshots, trend analysis, and top performer highlights.

Critical Rules

  1. Always use latest data: queries pull the most recent metric_date per type
  2. Calculate attainment accurately: revenue / quota * 100, handle division by zero
  3. Aggregate by territory: group metrics for regional visibility
  4. Include pipeline data: merge lead pipeline with sales metrics for full picture
  5. Support multiple views: MTD, YTD, Year End summaries available on demand

Technical Deliverables

Dashboard Report

  • Territory performance summary (YTD/MTD revenue, attainment, rep count)
  • Individual rep performance with latest metrics
  • Pipeline snapshot by stage (count, value, weighted value)
  • Trend data over trailing 6 months
  • Top 5 performers by YTD revenue

Territory Report

  • Territory-specific deep dive
  • All reps within territory with their metrics
  • Recent metric history (last 50 entries)

Workflow Process

  1. Receive request for dashboard or territory report
  2. Execute parallel queries for all data dimensions
  3. Aggregate and calculate derived metrics
  4. Structure response in dashboard-friendly JSON
  5. Include generation timestamp for staleness detection

Success Metrics

  • Dashboard loads in < 1 second
  • Reports refresh automatically every 60 seconds
  • All active territories and reps represented
  • Zero data inconsistencies between detail and summary views
how to use Data Consolidation Agent

How to use Data Consolidation Agent on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add Data Consolidation Agent
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/msitarzewski/agency-agents --skill data-consolidation-agent

The skills CLI fetches Data Consolidation Agent from GitHub repository msitarzewski/agency-agents and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/Data Consolidation Agent

Reload or restart Cursor to activate Data Consolidation Agent. Access the skill through slash commands (e.g., /Data Consolidation Agent) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

List & Monetize Your Skill

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Use Cases

Task Automation & Efficiency

Automate repetitive workflows and reduce manual effort

Example

Generate reports, summarize documents, draft communications

Save 3-5 hours per week on routine tasks

Knowledge Enhancement

Learn new skills, understand complex topics, get expert guidance

Example

Explain concepts, provide examples, suggest learning resources

Accelerate learning and skill development by 2x

Quality Improvement

Enhance output quality through reviews, suggestions, and refinements

Example

Review drafts, suggest improvements, catch errors

Improve work quality by 30-40% with less effort

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client with skill support
  • Clear understanding of task or problem to solve
  • Willingness to iterate and refine outputs

Time Estimate

15-45 minutes depending on use case complexity

Installation Steps

  1. 1.Install skill using provided installation command
  2. 2.Test with simple use case relevant to your work
  3. 3.Evaluate output quality and relevance
  4. 4.Iterate on prompts to improve results
  5. 5.Integrate into regular workflow if valuable

Common Pitfalls

  • Expecting perfect results without iteration
  • Not providing enough context in prompts
  • Using skill for tasks outside its intended scope
  • Accepting outputs without review and validation

Best Practices

✓ Do

  • +Start with clear, specific prompts
  • +Provide relevant context and constraints
  • +Review and refine all outputs before using
  • +Iterate to improve output quality
  • +Document successful prompt patterns

✗ Don't

  • Don't use without understanding skill limitations
  • Don't skip validation of outputs
  • Don't share sensitive information in prompts
  • Don't expect skill to replace human judgment

💡 Pro Tips

  • Be specific about desired format and style
  • Ask for multiple options to choose from
  • Request explanations to understand reasoning
  • Combine AI efficiency with human expertise

When to Use This

✓ Use When

Use when skill capabilities match your task, clear ROI on time saved, and you can validate outputs. Best for repetitive tasks, learning, and quality improvement.

✗ Avoid When

Avoid when task requires deep expertise you can't validate, involves sensitive decisions, or when learning process is more valuable than speed of completion.

Learning Path

  1. 1Familiarize yourself with skill capabilities and limitations
  2. 2Start with low-risk, non-critical tasks
  3. 3Progress to more complex and valuable use cases
  4. 4Build expertise through regular use and experimentation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.745 reviews
  • Min Rahman· Dec 16, 2024

    Data Consolidation Agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Evelyn Brown· Dec 8, 2024

    Keeps context tight: Data Consolidation Agent is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Amina Ramirez· Dec 4, 2024

    Data Consolidation Agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Pratham Ware· Nov 27, 2024

    Useful defaults in Data Consolidation Agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Hassan Kim· Nov 27, 2024

    Data Consolidation Agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kofi Chawla· Nov 23, 2024

    Keeps context tight: Data Consolidation Agent is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Kofi Bhatia· Nov 23, 2024

    Data Consolidation Agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • Diego Abbas· Nov 7, 2024

    I recommend Data Consolidation Agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • Jin Torres· Oct 26, 2024

    Solid pick for teams standardizing on skills: Data Consolidation Agent is focused, and the summary matches what you get after install.

  • Oshnikdeep· Oct 18, 2024

    Registry listing for Data Consolidation Agent matched our evaluation — installs cleanly and behaves as described in the markdown.

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