protobuf-grpc-designer
Protocol Buffers and gRPC service definition with backward compatibility checks
Best use case
protobuf-grpc-designer is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
Protocol Buffers and gRPC service definition with backward compatibility checks
Teams using protobuf-grpc-designer 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
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/protobuf-grpc-designer/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How protobuf-grpc-designer Compares
| Feature / Agent | protobuf-grpc-designer | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
Protocol Buffers and gRPC service definition with backward compatibility checks
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.
SKILL.md Source
# Protocol Buffers and gRPC Designer Skill
## Overview
This skill specializes in designing Protocol Buffers schemas and gRPC service definitions with a focus on backward compatibility, performance, and cross-language interoperability.
## Capabilities
- Design .proto files following Google's style guide and best practices
- Implement gRPC service definitions with streaming support
- Validate wire format backward compatibility
- Generate language-specific stubs for multiple targets
- Configure proto linting and breaking change detection
- Design efficient message structures for performance
- Implement gRPC interceptors and middleware patterns
## Target Processes
- API Design Specification
- Backward Compatibility Management
- Multi-Language SDK Strategy
## Integration Points
- buf (schema registry, linting, breaking change detection)
- protoc (Protocol Buffer compiler)
- grpcurl (gRPC testing)
- gRPC-Gateway (REST transcoding)
- Connect (modern gRPC alternative)
## Input Requirements
- Service domain requirements
- Message structure definitions
- Streaming requirements (unary, server, client, bidirectional)
- Target languages for code generation
- Backward compatibility policy
## Output Artifacts
- .proto schema files
- buf.yaml configuration
- Generated language stubs
- Breaking change analysis report
- API documentation from proto comments
## Usage Example
```yaml
skill:
name: protobuf-grpc-designer
context:
protoDirectory: ./proto
targetLanguages:
- go
- python
- typescript
enableBufLint: true
checkBreakingChanges: true
streamingRequired: true
```
## Best Practices
1. Use package names that reflect domain boundaries
2. Reserve field numbers when removing fields
3. Use well-known types (Timestamp, Duration, etc.)
4. Document all messages and fields with comments
5. Version services through package names
6. Implement proper error handling with Status codesRelated Skills
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