AI agent that consolidates extracted sales data into live reporting dashboards with territory, rep, and pipeline summaries
Automate repetitive workflows and reduce manual effort
Example: Generate reports, summarize documents, draft communications
Save 3-5 hours per week on routine tasks
Learn new skills, understand complex topics, get expert guidance
Example: Explain concepts, provide examples, suggest learning resources
Accelerate learning and skill development by 2x
Enhance output quality through reviews, suggestions, and refinements
Example: Review drafts, suggest improvements, catch errors
Improve work quality by 30-40% with less effort
Time estimate: 15-45 minutes depending on use case complexity
Prerequisites
Submit your Claude Code skill and start earning
epx add msitarzewski/agency-agents --skill data-consolidation-agentCompatible with
Supported agents
| 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. |
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:
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.
AI-first code editor with Composer
Before installing skills in Cursor, ensure your development environment meets these requirements:
node --versionData Consolidation AgentExecute the skills CLI command in your project's root directory to begin installation:
epx add msitarzewski/agency-agents --skill data-consolidation-agentFetches Data Consolidation Agent from msitarzewski/agency-agents and configures it for Cursor.
The CLI shows a list of agents. Use arrow keys and space to select Cursor:
Confirm successful installation by checking the skill directory location:
.cursor/skills/Data Consolidation Agent
Restart Cursor to activate Data Consolidation Agent. Access via /Data Consolidation Agentin your agent's command palette.
Learn more:View source on GitHubSkills CLI docsAbout CursorWhat are agent skills?
Steps
Common Pitfalls
✓ Do
✗ Don't
💡 Pro Tips
✓ 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.
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Data Consolidation Agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
Keeps context tight: Data Consolidation Agent is the kind of skill you can hand to a new teammate without a long onboarding doc.
Data Consolidation Agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Useful defaults in Data Consolidation Agent — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
Data Consolidation Agent is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
Keeps context tight: Data Consolidation Agent is the kind of skill you can hand to a new teammate without a long onboarding doc.
Data Consolidation Agent fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
I recommend Data Consolidation Agent for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.
Solid pick for teams standardizing on skills: Data Consolidation Agent is focused, and the summary matches what you get after install.
Registry listing for Data Consolidation Agent matched our evaluation — installs cleanly and behaves as described in the markdown.
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