Protobuf
CheckedGenerates efficient Protocol Buffers from your data models, streamlining API development and data serialization for faster performance.
Install on your platform
Showing Claude Code. One command installs this skill into any of the agents below.
- 1
Run this in your project
terminal$ npx skills add bufbuild/claude-plugins --skill protobuf -a claude-code Uses the open-source
skillsCLI and needs Node.js. Add-gto install it for your user instead of this project.
What we know about this skill
Publisher
bufbuild
Taken from the source listing. We haven't verified who controls this account.
Install target
Live repository
Not pinned. Installing fetches whatever the repository holds at the time you run the command.
Automated safety checks
This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.
Declares what it does: passed
SKILL.md parses and declares a name and a description.
SKILL.md exists, its frontmatter parses, and it declares a name and a description.
No undeclared network calls: passed
Makes no network calls.
Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.
No obfuscated payloads: passed
No encoded or obfuscated payloads.
No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.
No credential access: passed
Reads no keys, tokens, keychains or credential files.
Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.
No pipe-to-shell installers: passed
No pipe-to-shell or download-and-run installers.
No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.
Pinned to a commit: passed
Scanned bufbuild/claude-plugins at c4766e5fff.
The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.
- Commit
- c4766e5fff
- Scanned
- 17 files, 2,752 lines
About this skill
What it does
This skill enables AI agents to generate, parse, and manage Protocol Buffers (Protobuf) definitions directly within codebases. It streamlines the process of defining data structures for efficient serialization across different programming languages.
When to use it
- Defining new message types or services for a microservices architecture requiring strict schema enforcement.
- Converting existing JSON or YAML configurations into optimized
.protofiles for high-performance data exchange. - Regenerating client-side code from updated protobuf schemas to ensure type safety across the stack.
- Validating complex nested data structures against a central source of truth before deployment.
Key capabilities
- Generates
.protodefinition files based on natural language descriptions or existing data models. - Parses and explains existing Protocol Buffer schemas to understand data relationships.
- Converts between Protobuf definitions and other common serialization formats like JSON or Avro.
- Identifies breaking changes in schema evolution to prevent compatibility issues.
Example prompts
"Create a .proto file defining a User message with fields for ID, name, email, and an optional list of roles."
"Explain the structure of this protobuf definition and identify which fields are required versus optional."
"Convert this JSON payload into the corresponding Protocol Buffer message format and generate the necessary import statements."
Tips & gotchas
Ensure you have a compatible Protobuf compiler installed on your system if the agent needs to compile generated code locally. Always verify that the generated .proto files adhere to your organization's naming conventions and versioning strategies before integrating them into production pipelines.