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gws-sheets▌

googleworkspace/cli · updated Apr 8, 2026

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$npx skills add https://github.com/googleworkspace/cli --skill gws-sheets
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summary

Read, write, and batch-update Google Sheets with direct API access.

  • ›Supports three helper commands: +read for retrieving values, +append for adding rows, and batchUpdate for applying multiple validated changes atomically
  • ›Access spreadsheets resource with methods to create, retrieve, and modify sheets, including grid data filtering and developer metadata operations
  • ›Requires Google Workspace authentication via the shared gws prerequisite; use gws schema to inspect method parameters bef
skill.md

sheets (v4)

PREREQUISITE: Read ../gws-shared/SKILL.md for auth, global flags, and security rules. If missing, run gws generate-skills to create it.

gws sheets <resource> <method> [flags]

Helper Commands

Command Description
+append Append a row to a spreadsheet
+read Read values from a spreadsheet

API Resources

spreadsheets

  • batchUpdate — Applies one or more updates to the spreadsheet. Each request is validated before being applied. If any request is not valid then the entire request will fail and nothing will be applied. Some requests have replies to give you some information about how they are applied. The replies will mirror the requests. For example, if you applied 4 updates and the 3rd one had a reply, then the response will have 2 empty replies, the actual reply, and another empty reply, in that order.
  • create — Creates a spreadsheet, returning the newly created spreadsheet.
  • get — Returns the spreadsheet at the given ID. The caller must specify the spreadsheet ID. By default, data within grids is not returned. You can include grid data in one of 2 ways: * Specify a field mask listing your desired fields using the fields URL parameter in HTTP * Set the includeGridData URL parameter to true.
  • getByDataFilter — Returns the spreadsheet at the given ID. The caller must specify the spreadsheet ID. For more information, see Read, write, and search metadata. This method differs from GetSpreadsheet in that it allows selecting which subsets of spreadsheet data to return by specifying a dataFilters parameter. Multiple DataFilters can be specified.
  • developerMetadata — Operations on the 'developerMetadata' resource
  • sheets — Operations on the 'sheets' resource
  • values — Operations on the 'values' resource

Discovering Commands

Before calling any API method, inspect it:

# Browse resources and methods
gws sheets --help

# Inspect a method's required params, types, and defaults
gws schema sheets.<resource>.<method>

Use gws schema output to build your --params and --json flags.

how to use gws-sheets

How to use gws-sheets on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • ›Cursor installed and configured on your development machine
  • ›Node.js version 16.0+ with npm package manager (verify with node --version)
  • ›Active project directory or workspace where you want to add gws-sheets
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/googleworkspace/cli --skill gws-sheets

The skills CLI fetches gws-sheets from GitHub repository googleworkspace/cli and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/gws-sheets

Reload or restart Cursor to activate gws-sheets. Access the skill through slash commands (e.g., /gws-sheets) or your agent's skill management interface.

⚠

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

Additional Resources

›View source code on GitHub›Skills CLI documentation›Learn more about Cursor›What are agent skills?

List & Monetize Your Skill

Submit your Claude Code skill and start earning

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Use Cases▌

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

✓

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

✓

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

✓

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

✓

Save 3-5 hours/week on communication overhead

Implementation Guide▌

Prerequisites

  • ›Claude Desktop or compatible AI client
  • ›Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • ›Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • ›Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • ⚠Not validating competitive research—verify facts before sharing
  • ⚠Accepting user stories without involving engineering team
  • ⚠Over-relying on frameworks without qualitative judgment
  • ⚠Not customizing outputs to company culture and communication style
  • ⚠Skipping stakeholder validation of generated requirements

Best Practices▌

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • −Don't publish competitive analysis without fact-checking
  • −Don't finalize user stories without engineering review
  • −Don't make prioritization decisions solely on AI scoring
  • −Don't skip customer validation of generated requirements
  • −Don't ignore company-specific context and culture

💡 Pro Tips

  • ★Provide context: company goals, constraints, customer feedback
  • ★Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • ★Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • ★Use skill for 70% generation + 30% customization to company needs

When to Use This▌

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path▌

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
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general reviews

Ratings

4.7★★★★★73 reviews
  • ★★★★★Carlos Zhang· Dec 28, 2024

    We added gws-sheets from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • ★★★★★Ganesh Mohane· Dec 12, 2024

    Keeps context tight: gws-sheets is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Daniel Srinivasan· Dec 8, 2024

    gws-sheets is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • ★★★★★Meera Khan· Dec 8, 2024

    I recommend gws-sheets for anyone iterating fast on agent tooling; clear intent and a small, reviewable surface area.

  • ★★★★★Daniel Menon· Dec 8, 2024

    gws-sheets fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

  • ★★★★★Min Kapoor· Dec 8, 2024

    Keeps context tight: gws-sheets is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • ★★★★★Kwame Khanna· Nov 27, 2024

    gws-sheets reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • ★★★★★Xiao Gupta· Nov 27, 2024

    gws-sheets has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • ★★★★★Min Dixit· Nov 27, 2024

    Registry listing for gws-sheets matched our evaluation — installs cleanly and behaves as described in the markdown.

  • ★★★★★Naina Rahman· Nov 19, 2024

    Solid pick for teams standardizing on skills: gws-sheets is focused, and the summary matches what you get after install.

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