github-traffic

zc277584121/marketing-skills · updated Apr 8, 2026

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$npx skills add https://github.com/zc277584121/marketing-skills --skill github-traffic
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summary

Fetch and analyze GitHub repository traffic data — page views, git clones, referral sources, popular pages, and star growth. Optionally generate trend charts as PNG images.

skill.md

Skill: GitHub Traffic

Fetch and analyze GitHub repository traffic data — page views, git clones, referral sources, popular pages, and star growth. Optionally generate trend charts as PNG images.

Prerequisites:

  • gh CLI must be installed and authenticated
  • Push (write) access to the target repository is required — GitHub's Traffic API does not work with read-only access
  • matplotlib is optional (for PNG chart generation; falls back to ASCII if unavailable)

When to Use

  • The user asks about repository traffic, page views, clone counts, or where visitors come from
  • The user wants to see traffic trends over time (weekly, monthly, quarterly)
  • The user wants to generate traffic report charts for sharing or documentation
  • The user wants to periodically snapshot traffic data to build long-term history

Important: GitHub Traffic API Limitations

GitHub only provides the last 14 days of traffic data. To track trends over longer periods (30 days, 90 days, etc.), the script stores each fetch in a local history file (~/.github-traffic/<repo>_traffic.json). Regular snapshots are required to build up history.

Recommended: set up a cron job or CI schedule to run the snapshot command periodically:

# Daily snapshot via cron (no output, just stores data)
0 9 * * * python /path/to/scripts/github_traffic.py owner/repo --snapshot

Default Workflow

python /path/to/skills/github-traffic/scripts/github_traffic.py <owner/repo>

This will:

  1. Fetch current traffic data via gh api
  2. Save a snapshot to ~/.github-traffic/ for historical tracking
  3. Display a formatted summary (views, clones, referrers, popular pages)

Generating Charts

# Generate PNG trend chart (last 30 days, default)
python .../github_traffic.py owner/repo --chart

# Last 7 days
python .../github_traffic.py owner/repo --chart --days 7

# Last 90 days (needs accumulated history)
python .../github_traffic.py owner/repo --chart --days 90

# ASCII chart (no matplotlib needed)
python .../github_traffic.py owner/repo --ascii

The PNG chart includes up to 3 panels:

  1. Page Views — total views and unique visitors (area chart)
  2. Git Clones — total clones and unique cloners (bar + line chart)
  3. Star Growth — star count over time (line chart, shown when multiple snapshots exist)

Script Options

Flag Default Description
repo (positional) required Repository in owner/name format
--chart off Generate PNG trend chart
--ascii off Force ASCII bar chart output
--days 30 Number of days to include in chart
--history-dir ~/.github-traffic/ Directory for historical data storage
--output <repo>_traffic.png Output path for chart image
--snapshot off Fetch and store data only (no display)

Examples

# Quick traffic summary
python .../github_traffic.py zilliztech/memsearch

# Weekly trend chart
python .../github_traffic.py zilliztech/memsearch --chart --days 7

# Monthly trend chart, custom output path
python .../github_traffic.py zilliztech/memsearch --chart --days 30 --output ./reports/traffic.png

# Just store a snapshot (for cron jobs)
python .../github_traffic.py zilliztech/memsearch --snapshot

# ASCII chart when matplotlib is not available
python .../github_traffic.py zilliztech/memsearch --ascii --days 14

History & Long-Term Tracking

Each run merges the current 14-day window into a persistent JSON file at ~/.github-traffic/<owner>_<repo>_traffic.json. The file contains:

  • Daily views: date → {views, unique}
  • Daily clones: date → {clones, unique}
  • Star snapshots: date → star count
  • Fetch metadata: timestamp, 14-day totals, stars, forks

To build meaningful 30/90-day charts, run the script at least every 14 days (daily is ideal). Gaps longer than 14 days will show as missing data in charts.


Permissions

The GitHub Traffic API requires push access to the repository. This means:

  • Repository owners and admins: full access
  • Collaborators with write/maintain role: full access
  • Read-only users and forkers: no access (API returns 403)

If you get a permission error, check your gh auth status and ensure your token has the repo scope.


Troubleshooting

Problem Solution
"Must have push access" error You need write access to the repo. Check gh auth status.
Chart shows only 14 days GitHub only provides 14-day windows. Run --snapshot regularly to accumulate history.
matplotlib not found Install with pip install matplotlib. Or use --ascii for text-based charts.
No data for some dates GitHub may not report days with zero traffic. These gaps are normal.
how to use github-traffic

How to use github-traffic 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 github-traffic
2

Execute installation command

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

$npx skills add https://github.com/zc277584121/marketing-skills --skill github-traffic

The skills CLI fetches github-traffic from GitHub repository zc277584121/marketing-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/github-traffic

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

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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

4.666 reviews
  • Xiao Garcia· Dec 28, 2024

    Useful defaults in github-traffic — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.

  • Zara Chawla· Dec 20, 2024

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

  • Liam Chen· Dec 16, 2024

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

  • Li Park· Dec 12, 2024

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

  • Zara Bhatia· Dec 12, 2024

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

  • Zaid Wang· Nov 11, 2024

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

  • Zara Kapoor· Nov 7, 2024

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

  • Harper Park· Nov 7, 2024

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

  • Tariq Haddad· Nov 3, 2024

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

  • Olivia Tandon· Oct 26, 2024

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

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