explorer

Search and analyze trending GitHub repositories by topics, star count, and creation date. Supports filtering by multiple tags, minimum stars, and time range. Use when the user needs to discover popular open-source projects on GitHub. Optionally uses GITHUB_TOKEN for higher API rate limits.

3,891 stars

Best use case

explorer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Search and analyze trending GitHub repositories by topics, star count, and creation date. Supports filtering by multiple tags, minimum stars, and time range. Use when the user needs to discover popular open-source projects on GitHub. Optionally uses GITHUB_TOKEN for higher API rate limits.

Teams using explorer should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/explorer/SKILL.md --create-dirs "https://raw.githubusercontent.com/openclaw/skills/main/skills/alphafactor/explorer/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/explorer/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How explorer Compares

Feature / AgentexplorerStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Search and analyze trending GitHub repositories by topics, star count, and creation date. Supports filtering by multiple tags, minimum stars, and time range. Use when the user needs to discover popular open-source projects on GitHub. Optionally uses GITHUB_TOKEN for higher API rate limits.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

Related Guides

SKILL.md Source

# GitHub Projects Explorer

Discover and analyze trending open-source projects on GitHub, with support for multi-dimensional search and filtering.

## Features

- 🏷️ **Multi-Tag Filtering** - Support for one or more project topics/tags
- ⭐ **Star Count Filtering** - Filter by a minimum number of stars
- 📅 **Time Range** - Filter projects created within the last N days
- 🔤 **Programming Language** - Filter by specific programming language
- 📊 **Smart Sorting** - Sort by Stars, Forks, or Updated Time

## Prerequisites

### Optional: Configure GitHub Token

The GitHub API has rate limits (60 requests/hour unauthenticated, 5000 requests/hour authenticated).

```bash
# Get a Token: https://github.com/settings/tokens
export GITHUB_TOKEN="your_github_token"
```

To add it permanently to `~/.zshrc`:
```bash
echo 'export GITHUB_TOKEN="your-token"' >> ~/.zshrc
source ~/.zshrc
```

## Usage

### Basic Search

**Search by Topic:**
```bash
python3 scripts/github_projects.py --topic python
```

**Multiple Topics (AND relation):**
```bash
python3 scripts/github_projects.py --topic python --topic machine-learning
```

### Filter by Star Count

```bash
# Find Python projects with Stars > 1000
python3 scripts/github_projects.py --topic python --stars 1000

# Find AI projects with Stars > 10000
python3 scripts/github_projects.py --topic ai --stars 10000
```

### Filter by Time (Last N Days)

```bash
# Python projects created in the last 30 days
python3 scripts/github_projects.py --topic python --days 30

# High-star AI projects created in the last 7 days
python3 scripts/github_projects.py --topic ai --stars 100 --days 7
```

### Filter by Programming Language

```bash
# Rust projects
python3 scripts/github_projects.py --lang rust --stars 1000

# Go projects
python3 scripts/github_projects.py --lang go --stars 500 --days 30

# TypeScript projects
python3 scripts/github_projects.py --lang typescript --topic react --stars 500
```

### Comprehensive Examples

```bash
# AI Projects: Last 30 days, Python, Stars > 500
python3 scripts/github_projects.py \
  --topic ai --topic python \
  --stars 500 \
  --days 30

# Rust Tools: High stars, Last 90 days
python3 scripts/github_projects.py \
  --topic rust \
  --stars 5000 \
  --days 90 \
  --limit 50

# Frontend Frameworks: JavaScript, Stars > 1000
python3 scripts/github_projects.py \
  --topic frontend \
  --lang javascript \
  --stars 1000 \
  --sort updated
```

## Output Format

Example Output:
```
🔥 Found 30 trending projects:

1. 🌟 facebook/react
   📝 A declarative, efficient, and flexible JavaScript library...
   🔗 https://github.com/facebook/react
   📊 Stars: 220,000 | Forks: 45,000 | Language: JavaScript
   🏷️  Tags: react, frontend, javascript
   📅 Created: 2013-05-24 | Updated: 2024-02-03

2. ⭐ microsoft/vscode
   📝 Visual Studio Code
   🔗 https://github.com/microsoft/vscode
   📊 Stars: 150,000 | Forks: 30,000 | Language: TypeScript
   ...
```

## Command Arguments

| Argument | Short | Description | Example |
|----------|-------|-------------|---------|
| `--topic` | `-t` | Project topic/tag (can be used multiple times) | `-t python -t ai` |
| `--stars` | `-s` | Minimum number of stars | `--stars 1000` |
| `--days` | `-d` | Created within the last N days | `--days 30` |
| `--lang` | `-l` | Programming language | `--lang rust` |
| `--limit` | - | Number of results to return (default: 30) | `--limit 50` |
| `--sort` | - | Sorting method | `--sort stars` |

### Sorting Options

- `stars` - By star count (default, descending)
- `forks` - By fork count
- `updated` - By recent update time
- `created` - By creation time

## Recommended Trending Tags

| Domain | Recommended Tags |
|--------|------------------|
| AI/ML | `ai`, `machine-learning`, `deep-learning`, `nlp`, `computer-vision` |
| Frontend | `frontend`, `react`, `vue`, `angular`, `javascript`, `typescript` |
| Backend | `backend`, `api`, `microservices`, `nodejs`, `python` |
| Mobile Dev | `mobile`, `ios`, `android`, `flutter`, `react-native` |
| DevOps | `devops`, `docker`, `kubernetes`, `ci-cd`, `terraform` |
| Data | `database`, `big-data`, `analytics`, `sql`, `nosql` |
| Security | `security`, `cybersecurity`, `penetration-testing` |
| Tools | `cli`, `tools`, `productivity`, `automation` |

## FAQ

**Error: API rate limit exceeded**
→ Set GITHUB_TOKEN to increase limits:
```bash
export GITHUB_TOKEN="your-token"
```

**No results returned**
→ Try loosening your search criteria:
- Lower the `--stars` threshold
- Increase the `--days` count
- Reduce the number of `--topic` tags

**Inaccurate search results**
→ Use more specific tags:
- Use `machine-learning` instead of `ml`
- Use `natural-language-processing` instead of `nlp`

## Use Cases

### Scenario 1: Track Emerging Tech
```bash
# Trending AI projects from the last 30 days
python3 scripts/github_projects.py --topic ai --stars 100 --days 30 --limit 50
```

### Scenario 2: Learn from Top Projects
```bash
# High-star Python projects
python3 scripts/github_projects.py --topic python --stars 10000 --limit 20
```

### Scenario 3: Discover New Tools
```bash
# Developer tools from the last 7 days
python3 scripts/github_projects.py --topic developer-tools --topic cli --days 7 --stars 50
```

### Scenario 4: Tech Research
```bash
# Compare web frameworks across different languages
python3 scripts/github_projects.py --topic web-framework --lang rust --stars 1000
python3 scripts/github_projects.py --topic web-framework --lang go --stars 1000
```

## References

- GitHub Search API: [references/github_api.md](references/github_api.md)
- Official GitHub Docs: https://docs.github.com/en/rest/search

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