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Analytics & Reporting Skill (Revenue Intelligence)

Revenue intelligence for AI agents — metrics, funnels, anomaly detection, forecasting, and dashboards. Don't just pull numbers — find the story, explain why, and recommend action.

Open the skill source Read the official guide ↗

What this skill teaches

A reusable playbook for a specific kind of work.

An MCP server tells an agent which actions are available. A skill adds the judgment around those actions: how to recognize the job, which sequence to follow, what to avoid, and how to decide that the result is complete.

Orchestrate governed analytics — query revenue metrics, build dashboards, analyze conversion funnels, detect anomalies, forecast growth, and explain metric changes. Use when checking KPIs, building dashboards, analyzing funnels, detecting anomalies, forecasting metrics, comparing periods, or generating executive…

Architecture

How Analytics & Reporting Skill (Revenue Intelligence) guides an ADK-Rust agent.

The skill stays readable and portable because it contains instructions rather than service credentials or business data. ADK-Rust supplies it to the agent, the agent chooses from its reviewed tool boundary, and the connected MCP server performs the authenticated operation.

User request

The agent receives a goal expressed in ordinary language.

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Analytics & Reporting Skill (Revenue Intelligence) skill

Matches intent, supplies the decision guide, and narrows the tool boundary.

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ADK-Rust agent

Plans the workflow and streams each meaningful step through the runtime.

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mcp-analytics

Executes authenticated operations against the system that owns the capability.

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Verified result

The skill's completion rules shape the evidence returned to the user.

Portable instructions: SKILL.md · Capability boundary: mcp-analytics · Allowed tools: 22

Decision guide

How the agent turns a request into the right action.

These routes come directly from the skill instructions. They help the model recognize intent and select a focused tool or workflow instead of improvising across the entire capability surface.

"revenue", "MRR", "ARR", "growth"?

WORKFLOW 1: Revenue Metrics

"funnel", "conversion", "drop-off"?

WORKFLOW 2: Funnel Analysis

"anomaly", "spike", "drop", "unusual"?

WORKFLOW 3: Anomaly Detection

"forecast", "predict", "next month"?

WORKFLOW 4: Forecasting

"dashboard", "build", "report"?

WORKFLOW 5: Dashboard Building

"why", "explain", "what changed"?

WORKFLOW 6: Change Attribution

Unclear?

Ask: "Would you like to check a metric, analyze a funnel, or build a dashboard?"

Proven workflows

Repeatable sequences for useful outcomes.

A workflow joins several tool calls into a task the user actually recognizes. The skill explains the sequence and the intended result while ADK-Rust streams the agent's progress through the shared runtime.

Tool boundary

The skill may use 22 documented tools.

This allowlist is declared by the skill. It keeps the agent focused on the actions needed for this job while mcp-analytics retains responsibility for authentication, validation, and the connected system.

list_data_sources

list_datasets

describe_dataset

list_metrics

get_metric_definition

query_metric

breakdown_metric

compare_metric

query_events

query_report

analyze_funnel

analyze_cohort

detect_anomalies

forecast_metric

explain_change

generate_insight_summary

list_dashboards

get_dashboard

summarize_dashboard

create_dashboard

add_widget

validate_analytics_policy

Working rules

What the agent should do.

Follow the decision guide, use the declared tool boundary, and verify the result before responding.

Operating boundaries

What the agent should avoid.

Review the complete SKILL.md before enabling this skill for production work.

Install and connect

Add the skill beside the capability it expects.

Install the repository where your ADK-Rust skill loader can discover it, connect mcp-analytics, and confirm the declared tools are available before asking the agent to use the workflow.

Install the skill

git clone https://github.com/zavora-ai/skill-analytics-reporting.git \
  ~/.skills/skills/analytics-reporting

ADK-Rust loading shape

let skills = SkillLoader::from_dir("~/.skills/skills").await?;
let skill = skills.load("analytics-reporting").await?;

let agent = LlmAgentBuilder::new("agent")
    .instruction(skill.instructions())
    .tools(skill.allowed_tools(toolset)?)
    .build()?;

The repository's compatibility statement: Requires mcp-analytics server connected. Optional: mcp-slack for alert delivery, mcp-email for scheduled reports.

Official documentation

Read the complete skill package.

The repository remains authoritative for its exact instructions, examples, helper scripts, assets, MCP requirements, license, and later updates.

Overview ↗README.md Skill instructions ↗SKILL.md Cross Mcp Workflows ↗references/cross-mcp-workflows.md Examples ↗references/examples.md Tool Sequences ↗references/tool-sequences.md Calculate Funnel ↗scripts/calculate_funnel.py Funnel Report ↗assets/funnel-report.md

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Source record

Repository metadata for this skill entry.

View public repository ↗

License: Apache-2.0
Allowed tools: 22
References: 3
Revision: 4d88cc236cac
Updated: May 31, 2026