gsc

jdrhyne/agent-skills · updated Apr 8, 2026

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$npx skills add https://github.com/jdrhyne/agent-skills --skill gsc
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summary

Query GSC for search analytics, indexing status, and SEO insights.

skill.md

Google Search Console Skill

Query GSC for search analytics, indexing status, and SEO insights.

Setup

  1. Credentials: Uses same OAuth credentials as GA4 skill (stored in .env)
  2. Scopes: Requires webmasters.readonly scope on your Google Cloud OAuth consent screen
  3. Access: Your Google account must have access to the Search Console properties

Commands

List Available Sites

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py sites

Top Search Queries

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py top-queries \
  --site "https://www.nutrient.io" \
  --days 28 \
  --limit 20

Top Pages by Traffic

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py top-pages \
  --site "https://www.nutrient.io" \
  --days 28 \
  --limit 20

Find Low-CTR Opportunities

High impressions but low click-through rate = optimization opportunities:

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py opportunities \
  --site "https://www.nutrient.io" \
  --days 28 \
  --min-impressions 100

Inspect URL Indexing Status

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py inspect-url \
  --site "https://www.nutrient.io" \
  --url "/sdk/web"

List Sitemaps

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py sitemaps \
  --site "https://www.nutrient.io"

Raw Search Analytics (JSON)

source /Users/admin/clawd/skills/gsc/.env && \
python /Users/admin/clawd/skills/gsc/scripts/gsc_query.py search-analytics \
  --site "https://www.nutrient.io" \
  --days 28 \
  --dimensions query page \
  --limit 100

Available Dimensions

  • query - Search query
  • page - Landing page URL
  • country - Country code
  • device - DESKTOP, MOBILE, TABLET
  • date - Date

Metrics Returned

  • clicks - Number of clicks from search
  • impressions - Number of times shown in search
  • ctr - Click-through rate (clicks/impressions)
  • position - Average ranking position

SEO Use Cases

  1. Content Optimization: Find high-impression/low-CTR pages → improve titles & descriptions
  2. Keyword Research: See what queries bring traffic → create more content around them
  3. Technical SEO: Check indexing status, find crawl issues
  4. Ranking Tracking: Monitor position changes over time
  5. Sitemap Health: Verify sitemaps are submitted and error-free

Notes

  • Data has ~3 day delay (GSC limitation)
  • Credentials shared with GA4 skill
  • URL inspection requires the page to be in the property
how to use gsc

How to use gsc 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 gsc
2

Execute installation command

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

$npx skills add https://github.com/jdrhyne/agent-skills --skill gsc

The skills CLI fetches gsc from GitHub repository jdrhyne/agent-skills 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/gsc

Reload or restart Cursor to activate gsc. Access the skill through slash commands (e.g., /gsc) 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.

List & Monetize Your Skill

Submit your Claude Code skill and start earning

GET_STARTED →

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)
  • No comments yet — start the thread.
general reviews

Ratings

4.860 reviews
  • Mia Sanchez· Dec 24, 2024

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

  • Anika Mehta· Dec 16, 2024

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

  • Zaid Ramirez· Dec 12, 2024

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

  • Fatima Gonzalez· Dec 8, 2024

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

  • Emma Sharma· Dec 4, 2024

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

  • Sophia Farah· Nov 19, 2024

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

  • Isabella Gupta· Nov 15, 2024

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

  • Isabella Jain· Nov 7, 2024

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

  • Emma Johnson· Nov 3, 2024

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

  • Benjamin Smith· Oct 26, 2024

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

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