Shared starter template for Claude Code setup. Includes CLAUDE.md memory bank system for operations teams. Connects to Claude Code workflows for consistent configuration and subagent management.
git clone https://github.com/centminmod/my-claude-code-setup.githttps://github.com/centminmod/my-claude-code-setup
1. **Create the file**: Save the CLAUDE.md template as `CLAUDE.md` in your team's primary repository root. 2. **Customize placeholders**: Replace [TEAM_NAME], [PRIMARY_REPO], and [KEY_TOOLS] with your actual team details. 3. **Add workflows**: Document 3-5 of your most common operations workflows using the provided format. 4. **Configure subagents**: List all tools your team uses and mark which can auto-approve actions. 5. **Test with Claude Code**: Run `claude --memory-bank ./CLAUDE.md` to verify the memory bank loads correctly. Tip: Start with just 2-3 workflows and expand over time. Use the memory bank to standardize your team's knowledge base.
Set up a new project with pre-configured Claude Code templates and memory banks.
Automate the updating of memory bank files after code changes and successful git commits.
Integrate Claude Code with Visual Studio Code for enhanced coding and debugging experiences.
Utilize supplementary documentation for specific platforms like Cloudflare and Convex within Claude Code.
No install command available. Check the GitHub repository for manual installation instructions.
git clone https://github.com/centminmod/my-claude-code-setupCopy 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.
Generate a starter CLAUDE.md file for a [TEAM_NAME] operations team using Claude Code. Include sections for: [TEAM_NAME] context, common workflows, subagent configurations, and memory bank guidelines. Use placeholders like [TEAM_NAME], [PRIMARY_REPO], and [KEY_TOOLS].
```markdown
# CLAUDE.md - Operations Team Memory Bank
## Team Context
**Team Name:** CloudOps Engineering
**Primary Repository:** cloudops-infra
**Key Tools:** Terraform, AWS CLI, Kubernetes, Prometheus
**Primary Focus:** Infrastructure automation and incident response
## Common Workflows
### 1. Infrastructure Deployment
- **Trigger:** New feature branch pushed to `main`
- **Steps:**
1. Run `terraform plan -var-file=staging.tfvars`
2. Review changes in GitHub PR
3. Apply with `terraform apply -var-file=staging.tfvars`
4. Monitor deployment via ArgoCD dashboard
- **Subagent:** `terraform-apply` (auto-approved for staging)
### 2. Incident Response
- **Trigger:** PagerDuty alert for `high-cpu-usage`
- **Steps:**
1. Run `kubectl top pods -n production`
2. Check Prometheus metrics for CPU trends
3. Scale deployment: `kubectl scale deployment api --replicas=5`
4. Notify #incident-response Slack channel
- **Subagent:** `incident-response` (requires manual approval)
## Subagent Configurations
```yaml
subagents:
terraform-apply:
allowed_commands:
- terraform
allowed_paths:
- /repos/cloudops-infra
auto_approve: true
memory_bank: true
incident-response:
allowed_commands:
- kubectl
- aws
allowed_paths:
- /repos/cloudops-infra
auto_approve: false
memory_bank: true
```
## Memory Bank Guidelines
- Store all incident reports in `/docs/incidents/`
- Document new workflows in `/docs/workflows/`
- Update subagent configs when adding new tools
- Review memory bank weekly for outdated procedures
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