ccfg-golang

Autonomous per-package test coverage improvement loop

Initialize new Go project with opinionated production-ready defaults

Run Go quality gates - vet, format, test, lint, vuln check

Use for goroutines, channels, sync primitives, errgroup, context propagation, race condition prevention, profiling. Examples: building concurrent pipelines, worker pools, preventing data races, CPU/memory profiling. Critical for writing safe, efficient concurrent Go code and diagnosing performance issues.

Use for Gin/Echo/Chi web APIs, middleware, routing, request validation, OpenAPI. Examples: building REST APIs with Gin, custom middleware chains, request validation with binding tags, Swagger docs. Ideal for HTTP API development, authentication flows, and generating API documentation.

Use for Go testing: table-driven tests, testify, gomock, httptest, benchmarks, fuzzing, golden files. Examples: writing comprehensive test suites, setting up mocks, benchmark optimization, fuzz testing. Essential for ensuring code quality, performance, and reliability through rigorous testing.

Use for modern Go 1.22+ development with generics, error handling, stdlib patterns, idiomatic Go. Examples: building CLI tools, generic data structures, clean APIs with small interfaces, refactoring legacy code. Ideal for projects requiring type-safe abstractions, sophisticated error handling, or modernizing codebases to leverage latest Go features.

Use for gRPC services, protobuf schema design, streaming, interceptors, Connect. Examples: designing proto schemas, implementing streaming RPCs, adding interceptors for auth/logging, using buf for proto management. Perfect for building high-performance RPC services with strong typing and code generation.

This skill should be used when working on Go projects, writing Go code, running Go tests, managing Go dependencies, or reviewing Go code.

This skill should be used when creating or editing go.mod, managing Go dependencies, configuring Go modules, or organizing Go packages and module boundaries.

This skill should be used when writing Go tests, creating test fixtures, benchmarks, table-driven tests, mocking dependencies, or improving test coverage.