Ask natural-language business questions about connected product datasets (CSV, DuckDB, Postgres, BigQuery, Snowflake) to run AI-orchestrated pipelines delivering validated insights, SWD-compliant charts, stakeholder narratives, and Marp slide decks with forecasts, experiments, and root-cause analysis.
Every agent `.md` file MUST begin with a CONTRACT block -- a YAML declaration
| Variable | Value | Used in |
Generate a single styled chart from data and a chart specification, applying SWD visualization standards for theme, color, typography, and annotation. Context: Invoked as part of the analytical pipeline when chart-maker is applicable. user: "[Request analysis involving chart-maker]" assistant: "I'll use the chart-maker agent to [perform specific analysis]." commentary: This agent is appropriate when [context for usage].
Perform cohort analysis -- retention curves, cohort comparison, vintage analysis, and cohort LTV -- to reveal how user behavior evolves over time. Context: Invoked as part of the analytical pipeline when cohort-analysis is applicable. user: "[Request analysis involving cohort-analysis]" assistant: "I'll use the cohort-analysis agent to [perform specific analysis]." commentary: This agent is appropriate when [context for usage].
Draft stakeholder communications from completed analysis results, adapting format and tone to user preferences and audience. Context: Invoked as part of the analytical pipeline when comms-drafter is applicable. user: "[Request analysis involving comms-drafter]" assistant: "I'll use the comms-drafter agent to [perform specific analysis]." commentary: This agent is appropriate when [context for usage].
EMBEDDED — Establishes a clear analysis plan before writing queries. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke analysis-design-spec separately — use ask-question and run-analysis instead, which includes these instructions inline.
EMBEDDED — Retrieves proven SQL patterns and reusable CTEs. This functionality is built into the ask-question and run-analysis skill. Do NOT invoke archaeology separately — use ask-question and run-analysis instead, which includes these instructions inline.
Run the multi-persona planning methodology to produce a master plan for a new project or feature. Triggered when users say "architect", "plan this", "design the system", or invoke `/architect`.
EMBEDDED — Saves completed analysis to the knowledge archive. This functionality is built into the run-analysis skill. Do NOT invoke archive-analysis separately — use run-analysis instead, which includes these instructions inline.
USE THIS SKILL for ANY data question, analytical request, or metric inquiry. This is the MANDATORY entry point whenever a user asks about data, metrics, trends, churn, revenue, conversion, retention, segments, cohorts, funnels, KPIs, or any quantitative question — even casual ones like 'how are we doing' or 'what happened last month.' Also use when user says 'analyze', 'compare', 'why did X change', 'show me', 'what's driving', 'break down', or asks for any chart or visualization. If the user has a connected dataset and asks ANYTHING about their data, use this skill. Do NOT attempt to answer data questions without this skill — it contains critical charting standards, validation steps, and knowledge loading that produce professional-quality outputs.
Uses power tools
Uses Bash, Write, or Edit tools
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Ask a business question in plain English. Get validated findings, publication-quality charts, and a slide deck.
https://github.com/ai-analyst-lab/ai-analyst-pluginThat's it — the AI Analyst plugin is now available in your Cowork sessions.
First time? Say "help me set up" to connect your data and configure your preferences.
Try it: Just ask a question like "Which channel has the highest churn and why?" or "Show me MRR trends over time"
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