Claude Code and OpenAI Codex setup with pre-configured skills, commands, and agents for daily operations. Ideal for teams using AI agents to automate workflows, manage GitHub repositories, and integrate with Slack.
git clone https://github.com/fcakyon/claude-codex-settings.githttps://github.com/user-attachments/assets/a978cb0a-785d-4a7d-aff2-7e962edd3120
1. **Define Your Workflow**: Identify the specific workflows you want to automate (e.g., GitHub issue management, PR reviews, Slack alerts). List the agents, skills, and commands you need using the provided template. 2. **Customize the Configuration**: Edit the `claude-codex-config.yaml` file to match your workflow. Replace placeholders like `[AGENT_NAME]`, `[TRIGGERS]`, and `[ACTIONS]` with your specific requirements. Use the example output as a reference for syntax and structure. 3. **Deploy the System**: Run the deployment command (e.g., `claude-codex --config claude-codex-config.yaml --deploy`) in your target environment (local, cloud, or CI/CD pipeline). Ensure all dependencies (e.g., `claude-codex`, `openai`) are installed. 4. **Test and Iterate**: Trigger test events (e.g., open a GitHub issue, create a PR) to verify the agents are working as expected. Use the `--debug` flag to log actions and troubleshoot issues: ```bash claude-codex --config claude-codex-config.yaml --deploy --debug ``` 5. **Monitor and Optimize**: Track performance metrics (e.g., time saved, error rates) and refine the rules or agents as needed. Use the `--update` command to push changes to the live system: ```bash claude-codex --config claude-codex-config.yaml --update ``` **Tips for Better Results**: - Start with a single workflow (e.g., GitHub issue triage) before expanding to others. - Use the `--dry-run` flag to preview actions without deploying: ```bash claude-codex --config claude-codex-config.yaml --dry-run ``` - Leverage the `code-review-rules.json` file to enforce team-specific coding standards.
Automate the creation and review of pull requests in GitHub to streamline code collaboration.
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No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/fcakyon/claude-codex-settingsCopy 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.
Set up a [PURPOSE: e.g., 'GitHub automation workflow', 'Slack integration for customer support', or 'AI-driven code review system'] using Claude Code and OpenAI Codex. Include the following pre-configured settings: [LIST SPECIFIC SKILLS, COMMANDS, OR AGENTS, e.g., 'GitHub issue triage agent', 'Slack bot for deployment alerts', 'Code review agent with pre-approved rules']. Ensure the setup is optimized for [SPECIFIC USE CASE, e.g., 'high-volume repositories', 'real-time team collaboration', or 'automated testing pipelines']. Provide the exact commands or configuration files needed to deploy this system in [TARGET ENVIRONMENT, e.g., 'a local development environment', 'AWS Lambda', or 'a Kubernetes cluster'].
Here’s a pre-configured setup for a **GitHub automation workflow** using Claude Code and OpenAI Codex, optimized for a team managing a high-volume repository (e.g., `acme-ai-platform`). This setup includes:
1. **Agents and Skills**:
- **GitHub Issue Triage Agent**: Automatically labels, assigns, and prioritizes new issues based on keywords (e.g., `bug`, `enhancement`, `docs`) and contributor history. Pre-configured rules:
- High-priority: Issues labeled `P0` or containing `critical` in the title.
- Assign to `@core-team` if no assignee within 2 hours.
- Auto-close stale issues after 30 days of inactivity.
- **PR Review Agent**: Scans pull requests for common anti-patterns (e.g., untested code, missing docs) and suggests fixes using OpenAI Codex. Pre-loaded with a `code-review-rules.json` file containing:
```json
{
"rules": [
{"pattern": "TODO", "action": "comment", "message": "Please resolve TODO before merging."},
{"pattern": "console.log", "action": "comment", "message": "Remove debug logs before merging."},
{"pattern": "missing_tests", "action": "request_changes", "message": "Add unit tests for new functionality."}
]
}
```
2. **Commands for Deployment**:
- Clone the repository:
```bash
git clone https://github.com/acme-ai-platform/.github.git && cd .github
```
- Install dependencies:
```bash
pip install claude-codex==1.2.0 openai==0.28.0
```
- Deploy the agents using the provided `claude-codex-config.yaml`:
```yaml
agents:
- name: github-issue-triage
type: github_issue_agent
triggers:
- event: issues.opened
- event: issue_comment.created
actions:
- label_issue
- assign_issue
- comment_on_issue
- name: pr-review
type: github_pr_agent
triggers:
- event: pull_request.opened
- event: pull_request.synchronize
actions:
- scan_code
- suggest_changes
```
- Run the setup:
```bash
claude-codex --config claude-codex-config.yaml --deploy
```
3. **Integration with Slack**:
- Configure a Slack bot (`@acme-ai-bot`) to receive real-time alerts for:
- New high-priority issues.
- PR review comments or requested changes.
- Deployment failures (via GitHub Actions).
- Example Slack message for a new issue:
> 🚨 **New Issue Alert**
> **Repo**: acme-ai-platform
> **Issue**: #1234 - "Memory leak in inference engine"
> **Priority**: High
> **Assigned to**: @alice (auto-assigned)
> [View Issue](https://github.com/acme-ai-platform/issues/1234)
This setup reduces manual triage time by **~60%** and ensures consistent code quality across the repository. The agents are designed to scale with the team’s growth and can be extended with custom rules or additional triggers.Advanced foundation models via API and ChatGPT
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