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Compact two-skill starter: clarify positioning and choose a lead magnet. Use Marketing Launch for the broader eight-skill go-to-market workflow.

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Build an evidence-led marketing plan from ICP and competition through positioning, campaigns, growth and measurement.

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Diagnose architecture and context, plan agent-team responsibilities, then organize project context and session handoffs. Memory and cost-runtime reviews remain outside this pack.

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Review the journey from landing page and lead capture through registration, first value and transparent upgrades.

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Prioritize an editorial roadmap and plan how to launch and distribute it across suitable channels.

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Choose a relevant lead magnet, then draft a permission-based nurture journey with entry, suppression and exit rules.

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Define the API contract, then plan how to observe its latency, failures and retries. Guidance and checklist; no production changes.

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Profile a dataset, choose and interpret statistical methods, then validate calculations and conclusions before sharing.

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Define the target account, prioritize buying signals, plan a human LinkedIn engagement routine and prepare evidence-led responses to buyer concerns.

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What the MCP returns at this step

30 · Engineering · Cloud Databases

Google Bigtable Basics

Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for

engineeringcloud-databasesgoogle-cloudbigtable-basics

Google Bigtable Basics · Original SKILL.md

---
name: bigtable-basics
metadata:
  version: "1.0.0"
  category: Databases
description: >-
  Assists in provisioning instances/tables, designing performant schemas, and querying data in Bigtable. Use when designing Bigtable row keys, configuring column families, writing SQL queries or client library code (Java, Go, Python) for Bigtable, or diagnosing performance/hotspotting issues. Also use when provisioning Bigtable clusters using gcloud or cbt CLIs. Don't use for generic Cloud SQL administration.
---

# Bigtable Basics

This skill provides core workflows and guidance for administering and developing
with Google Bigtable.

## Core Principles

-   **Control Plane vs. Data Plane:**
    -   Use **`gcloud`** for Control Plane operations: Manage Instances,
        Clusters, App Profiles, Backups and IAM. Create Tables, Logical Views,
        Materialized Views and Authorized Views.
    -   Use **`cbt`** for Data Plane operations: Update Tables, Column Families,
        and reading/writing data.
-   **Performance First:** Bigtable is a NoSQL database. Efficiency is tied to
    Row Key design. Always warn about Full Table Scans.
-   **Client Selection:** For production use cases, prefer **Java** or **Go**
    for their superior performance and feature coverage compared to other
    languages.
-   **Observability:** When diagnosing performance or hotspotting, **always**
    mention **Key Visualizer** (via Cloud Console) as the primary diagnostic
    tool because it provides the most granular view of access patterns across
    row keys. This should be followed by the hot-tablets tool and table stats
    in gcloud CLI and `include-stats=full` option under `cbt read` to diagnose
    slow queries.

> [!IMPORTANT] **Safety Rule:** You MUST obtain explicit user confirmation before
> making non-emulator database changes. You MUST mention this safety requirement
> when providing commands or instructions that modify the database structure or
> data.

## Quick Recipes

### 1. Querying Data

Use SQL for complex transforms or aggregations and key-value APIs for simpler
query patterns. *Note: Use exact match, prefix (`_key LIKE 'myprefix%'`), or
range predicates on `_key` to avoid expensive unbounded scans. Recommend
explicit row ranges (`_key BETWEEN 'start' AND 'end'`) as a more performant
alternative to prefix matches where possible.*

If expensive scans (either unbounded or prefix or range queries scanning a large
range) are unavoidable due to multiple access patterns that can’t all be
accommodated in a single schema, consider one of these two options:

-   If the query will be used in user facing and/or latency sensitive
    applications, use continuous materialized views with keys optimized for the
    additional access patterns.
-   If secondary access patterns are infrequent, batch patterns like ETL, ML
    model training or analytical read-only tasks, use Bigtable Data Boost
    instead.

### 2. Manipulating Data

Use key-value APIs for insert, update, increment and delete operations. SQL API
is read-only.

### 3. Data Model Definition (DDL)

SQL API doesn't support DDL operations. Table creation, deletion, updates should
be made using gcloud CLI. Logical Views and Continuous Materialized Views are
defined as SQL queries but they must be created using gcloud CLI.

## Reference Guides

-   **CLI Operations**:
    -   [infrastructure_management.md](references/infrastructure_management.md):
        Provisioning instances, clusters, and table schemas.
    -   [cli_data_access.md](references/cli_data_access.md): Reading and writing
        data via the `cbt` CLI.
-   **Design & Discovery**:
    -   [schema_design.md](references/schema_design.md): Best practices for row
        keys and performance with tables and continuous materialized views.
    -   [dataplex.md](references/dataplex.md): Data catalog search for Bigtable
        assets.
-   **Querying & Code**:
    -   [sql_guide.md](references/sql_guide.md): Querying structured row keys
        via SQL and CLI.
    -   [client_libraries.md](references/client_libraries.md): Patterns for
        high-performance Go/Java/Python code.

## Common Workflows

### Schema Evolution (DevOps)

1.  **Prefer Terraform** for production schema changes to prevent accidental
    data loss.
2.  For manual `cbt` changes, first check the existing state by listing the table's column families and GC policies before proposing any modifications:

    ```bash
    cbt ls {table}
    ```

    If modifications are needed, create the family or update the GC policy:

    ```bash
    cbt createfamily {table} {family}
    cbt setgcpolicy {table} {family} "maxversions=5 AND maxage=30d"
    ```

3.  Reference
    [infrastructure_management.md](references/infrastructure_management.md) for
    full syntax.

## External Resources

*   [Cloud Bigtable Documentation](https://cloud.google.com/bigtable/docs)
*   [Bigtable SQL Reference](https://cloud.google.com/bigtable/docs/googlesql-overview)
*   [cbt CLI Reference](https://cloud.google.com/bigtable/docs/cbt-reference)
*   [gcloud bigtable Reference](https://cloud.google.com/sdk/gcloud/reference/bigtable)

When to use

What you get

Complete original Google guidance with source attribution and declared execution limits.

How it works

Use supplied evidence to plan, review or explain the relevant workflow within authorized scope.

Requirements

Authorized project context, resource scope, current configuration evidence and a named decision owner.

Delivery and review notes

The original is official Apache-2.0 guidance. It may show cloud commands, deployment examples or credential placeholders; those are not run, configured, installed, or authorized by loading this catalog entry. Verify current provider documentation and resource-owner approval before external changes.

Starting prompt

Use Google Bigtable Basics for [TASK]. Start from authorized project context and supplied evidence. Identify unknowns and propose changes for review; do not run commands, connect accounts, deploy, transfer data, or incur charges from this text alone.

Not for

Automatic cloud execution, credential handling, account access, deployments, destructive changes, or claims that examples are configured and verified.

What M11 added

M11 added German routing, integrity tracking and a strict no-execution boundary. Original attribution: Google (google/skills repository). The original is official Apache-2.0 guidance. It may show cloud commands, deployment examples or credential placeholders; those are not run, configured, installed, or authorized by loading this catalog entry. Verify current provider documentation and resource-owner approval before external changes.

Original authorship remains with google/skills · Original source ↗

Original license & copyright

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Source SHA-256: 090fe13bb07b0aeaff671ebf54e71708475838703dd62497bf628d71e3680d59
Snapshot checked: 2026-10-05T00:00:00.000Z

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