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    SQL Report Builder for Non-Technical Managers

    SQL Report Builder for Non-Technical Managers

    Turns plain-English business questions into safe read-only SQL reporting plans, required table/field maps, readable SQL drafts, validation checks, and manager-friendly summaries.

    Updated May 2026
    Security scanned
    One-time purchase
    Compatible with ChatGPT Custom GPTs

    $50

    · or 250 credits

    One-time purchase

    30-day refund guarantee

    Secure checkout via Stripe

    Included in download

    • Translate vague business goals into precise metric definitions and join maps.
    • Audit existing SQL queries for security risks and destructive operations.
    • file_write, file_read automation included
    • Ready for Compatible with ChatGPT Custom GPTs
    • Instant install

    Sample Output

    A real example of what this skill produces.

    === SQL REPORTING PLAN FOR NON-TECHNICAL MANAGERS === Business question: How many customers churned last month by plan? Plain-English interpretation: The user wants a count of customers whose subscription ended during the previous calendar month, grouped by subscription plan. Decision supported: Understand which plans had the highest customer churn last month. Metric definition: Metric name: Customer churn count by plan Business definition: Number of customers whose subscription ended during the reporting period and should be counted as churned. Numerator: Count of distinct customers with a subscription status of canceled or ended during last month. Denominator: Not required for churn count. If churn rate is needed, denominator should be active customers at the start of the month. Date logic: Use subscription ended/canceled date, not signup date. Inclusions: Paid customer subscriptions that ended during the period. Exclusions: Trial users, test accounts, internal accounts, and customers who reactivated within the defined grace period if the business uses one. Grouping dimensions: Plan name. Expected grain: One row per plan. Required tables and fields: subscriptions.subscription_id — identify subscription subscriptions.customer_id — identify customer subscriptions.plan_id — connect to plan subscriptions.status — identify canceled/ended subscriptions subscriptions.ended_at or canceled_at — churn date plans.plan_id — join to subscriptions plans.plan_name — group by plan customers.customer_id — identify customer customers.is_test — exclude test accounts if available Assumptions: 1. subscriptions.ended_at represents the churn date. 2. subscriptions.status = 'canceled' indicates churn. 3. customers.is_test can identify test accounts. 4. Plans are stored in a plans table. 5. SQL dialect is PostgreSQL. Adjust date functions if using another database. Safety check: - Query type: read-only SELECT - Sensitive fields avoided: Yes - Destructive operations: None - Date range included: Yes - Row limit recommended: Not required because output is aggregated SQL reporting plan: 1. Start from subscriptions. 2. Join plans to get plan names. 3. Join customers to exclude test accounts. 4. Filter subscriptions that ended last month. 5. Count distinct customers. 6. Group by plan name. 7. Sort by churn count descending. Readable SQL draft: [The skill returns a read-only SELECT query using CTEs, date filtering, grouping by plan, and no destructive operations.] Plain-English explanation: This query looks for subscriptions marked as canceled during the previous calendar month. It excludes test customers, connects each subscription to its plan, counts unique customers, and shows the result grouped by plan. Validation queries: 1. Check total churn count before grouping. 2. Check whether ended_at has null values for canceled subscriptions. 3. Check whether test accounts are correctly excluded. 4. Compare the total with the existing churn dashboard if available. Data quality risks: - Some churn may be stored as status = 'ended' instead of 'canceled'. - Reactivated customers may need to be excluded depending on business definition. - Trial cancellations may be mixed with paid churn. - Timezone may affect month boundaries. Privacy/sensitivity notes: The report uses aggregate customer counts and does not expose names, emails, or account details. Manager-friendly report summary: For last month, the report shows how many customers churned in each plan. The highest churn plan should be reviewed for onboarding, pricing, product fit, or support issues. This result depends on the chosen churn definition and whether reactivations or trials are excluded. Analyst handoff notes: Confirm the correct churn date field, churn status values, plan table name, and test-account flag before running in production reporting.

    About This Skill

    SQL Report Builder for Non-Technical Managers helps managers, operations teams, analysts, founders, SaaS operators, and small business teams turn business questions into safe analytics workflows. It defines metrics, identifies required tables and fields, maps joins, drafts readable read-only SQL, explains the logic in plain English, validates assumptions, creates data quality checks, audits SQL for safety, and produces manager-friendly report summaries or analyst handoff briefs. The skill supports common reporting needs such as revenue, churn, retention, active users, sales pipeline, support backlog, product funnels, cohort analysis, subscriptions, invoices, and operational KPIs. It defaults to safe read-only reporting and avoids destructive SQL.

    Use Cases

    • Translate vague business goals into precise metric definitions and join maps.
    • Audit existing SQL queries for security risks and destructive operations.
    • Generate readable SQL drafts with CTEs and plain-English logic explanations.
    • Create validation checklists to ensure reporting accuracy before decision-making.
    • Draft professional handoff notes to bridge the gap between managers and analysts.

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    Security Scanned

    Passed automated security review

    Permissions

    Write Files
    Read Files

    File Scopes

    *.md
    *.txt
    *.csv
    *.xlsx
    *.json
    *.yaml
    *.yml
    *.sql
    *.docx
    *.pdf
    README.md
    schemas/**
    data-dictionaries/**
    metrics/**
    reports/**
    dashboards/**
    sql/**
    queries/**
    analytics/**
    bi/**
    exports/**
    requirements/**
    docs/**

    This skill uses file access to read user-provided schemas, table lists, metric definitions, SQL drafts, report notes, dashboard requirements, CSV exports, data dictionaries, and analytics documentation. It uses write access to create structured Markdown/text outputs such as SQL reporting plans, metric definitions, table/field maps, readable SQL drafts, validation checklists, SQL safety audits, dashboard specifications, manager-friendly summaries, analyst handoff briefs, and SKILL.md files. Optional schema access should be limited to metadata in approved read-only analytics environments. The default safe setup does not require network access, shell access, environment variable access, production write access, or destructive database permissions.

    Compatible with ChatGPT Custom GPTs, ChatGPT Agents, Claude-style workflows, Cursor, Claude Code, Codex CLI, OpenCode, Replit, BI documentation workflows, analytics handoff processes, and other AI agent systems that support structured Markdown instruction files such as SKILL.md. It can also be used manually in any AI chat by pasting the instructions. For live database use, run queries only in approved read-only analytics environments with proper access permissions and analyst or DBA review when needed.

    Frequently Asked Questions

    $50