serialization
Expert skill for binary and text serialization formats, schema design, and optimization
npx skills add a5c-ai/babysitter --skill serialization --agent claude-code
Same command for any agent — swap --agent for codex, cursor, copilot.
Weekly change comes from our own snapshots, not the repository page — it measures attention, not adoption.
# Serialization Skill Expert skill for binary and text serialization formats, schema design, and performance optimization. ## Capabilities - **Protocol Buffers**: Generate Protocol Buffer schemas and code for multiple languages - **FlatBuffers**: Design FlatBuffers schemas for zero-copy deserialization - **MessagePack/CBOR**: Implement MessagePack and CBOR binary encoding - **Performance Analysis**: Analyze and compare serialization performance - **Format Comparison**: Compare serialization formats for specific use cases - **Deserialization Debugging**: Debug deserialization issues and version mismatches - **Payload Optimization**: Optimize payload sizes and encoding efficiency - **Schema Evolution**: Handle backward/forward compatible schema changes ## Tools and Dependencies - `protoc` - Protocol Buffer compiler - `flatc` - FlatBuffers compiler - `msgpack-tools` - MessagePack utilities - `cbor-tools` - CBOR utilities - `capnp` - Cap'n Proto compiler - `avro-tools` - Apache Avro utilities ## Target Processes - binary-protocol-parser.js - custom-protocol-design.js - message-framing.js - websocket-server.js ## Usage Examples ### Protocol Buffers Schema ```protobuf syntax = "proto3";
- Capabilities
- Tools and Dependencies
- Target Processes
- Usage Examples
- Protocol Buffers Schema
- FlatBuffers Schema
- Code Generation
- Performance Benchmarking
- Quality Gates
protoc --python_out=. --go_out=. packet.proto flatc --python --go packet.fbs hyperfine 'protoc-bench encode message.proto' 'msgpack-bench encode message.json'
What does the serialization skill do?
Expert skill for binary and text serialization formats, schema design, and optimization
How do I install it?
Run `npx skills add a5c-ai/babysitter --skill serialization --agent claude-code` — it drops the skill into your project so the agent can pick it up. Swap the --agent value for codex, cursor or copilot if you use one of those.
Where does this skill come from?
From a5c-ai/babysitter, a repository with 1,642 stars. We read it straight from the repository tree rather than a submitted listing, so what you see here is what is actually published.
Is a popular skill a good skill?
Not necessarily. Stars measure attention, not adoption — a repository can trend for a week and be abandoned. That is why we show the weekly change from our own snapshots next to the total, instead of a single flattering number.