Vibe Remote enables developers to command AI coding agents like Claude Code, OpenCode, or Codex directly from Slack. It allows teams to write, debug, and deploy code without needing a laptop or IDE, streamlining remote development workflows and integrating with existing Slack-based operations.
git clone https://github.com/cyhhao/vibe-remote.gitThe vibe-remote skill is a powerful automation tool designed for developers looking to enhance their coding efficiency directly from Slack. This skill allows users to stream Claude Code, OpenCode, or Codex in real-time, enabling seamless collaboration and coding without the need to switch between multiple applications. By centralizing coding tasks within a familiar communication platform, vibe-remote simplifies the development process, making it easier to manage projects and communicate with team members simultaneously. One of the key benefits of using vibe-remote is the potential for significant time savings in workflow automation. While specific time savings are currently unknown, the ability to execute coding tasks from Slack can drastically reduce the time spent on context switching and enhance productivity. Developers can command their AI coding army to assist with various tasks, allowing them to focus on higher-level problem-solving and creative aspects of their projects. This skill is particularly valuable for teams that prioritize agile development practices and need to maintain constant communication. vibe-remote is ideally suited for developers, product managers, and AI practitioners who are looking to integrate AI automation into their daily workflows. By leveraging this skill, teams can foster a more collaborative environment, where coding and communication go hand in hand. Practical use cases include real-time code reviews, collaborative debugging sessions, and instant code generation based on team discussions, all facilitated through Slack. This skill empowers teams to respond quickly to changes and challenges, making it an essential tool in fast-paced development environments. With an intermediate implementation difficulty and an estimated setup time of just 30 minutes, vibe-remote is accessible for teams ready to embrace AI-first workflows. While it does not currently have verified status or a high number of weekly installs, its GitHub popularity, reflected in 148 stars, indicates a growing interest in this innovative automation solution. As organizations increasingly adopt AI agents for coding tasks, vibe-remote positions itself as a valuable asset for teams aiming to enhance their coding capabilities and streamline their workflows.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/cyhhao/vibe-remoteCopy the install command above and run it in your terminal.
Launch Claude Code, Cursor, or your preferred AI coding agent.
Use the prompt template or examples below to test the skill.
Adapt the skill to your specific use case and workflow.
I want to automate a repetitive task in my [COMPANY] using [SPECIFIC_TOOL_OR_API]. Here's what I need: [DESCRIPTION_OF_TASK]. Can you generate the code and help me set up a remote automation workflow in Slack?
```markdown
# Remote Automation Workflow Setup
## Task: Automate Monthly Sales Report Generation
### Tools Needed:
- Salesforce API
- Python (Pandas, Requests libraries)
- Slack API
### Workflow Steps:
1. **Data Extraction**: Use Salesforce API to pull monthly sales data.
2. **Data Processing**: Clean and format data using Pandas.
3. **Report Generation**: Create a summary report with key metrics.
4. **Slack Integration**: Set up a Slack bot to send the report to the #finance channel.
### Code Snippet:
```python
import requests
import pandas as pd
# Step 1: Extract data from Salesforce
response = requests.get('https://api.salesforce.com/v1/data/query', headers=headers, params=params)
data = response.json()
# Step 2: Process data
sales_df = pd.DataFrame(data['records'])
sales_df['Revenue'] = sales_df['Amount'].apply(lambda x: x * 0.15) # Apply tax rate
# Step 3: Generate report
report = sales_df.groupby('Product')['Revenue'].sum().reset_index()
# Step 4: Send to Slack
slack_message = {
'text': 'Monthly Sales Report',
'attachments': [{
'title': 'Revenue by Product',
'text': report.to_string(index=False),
'color': '#36a64f'
}]
}
requests.post('https://slack.com/api/chat.postMessage', json=slack_message, headers=slack_headers)
```
## Next Steps:
- Set up a cron job to run this script monthly.
- Configure Slack bot permissions.
- Test the workflow and monitor for errors.
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