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Found 5,841 Skills
Pipeline state management for Goldsky Turbo — pause, resume, restart, and delete commands with their rules and safety behavior. Use this skill when the user asks: will deleting my pipeline lose the data already in my postgres/clickhouse table, how do I pause a pipeline while doing database maintenance, how do I restart from block zero to reprocess all historical data, can I update a running streaming pipeline in place or do I have to delete and redeploy, will resuming a paused pipeline pick up from where it left off (checkpoint), how do I re-run a completed job pipeline from the beginning, can I pause or restart a job-mode pipeline. Also covers what happens to checkpoint state on delete, and job auto-deletion 1 hour after termination. For actively diagnosing why a pipeline is broken or erroring, use /turbo-doctor instead.
Design and architect Goldsky Turbo pipelines. Use this skill for 'should I use X or Y' decisions: kafka source vs dataset source, streaming vs job mode, which resource size (xs/s/m/l/xl/xxl) for my workload, postgres vs clickhouse vs kafka sink, fan-in vs fan-out data flow, one pipeline vs many, dynamic table vs SQL join, how to handle multi-chain deployments. Also use when the user asks 'what's the best way to...' for a pipeline design problem, or is unsure how to structure their pipeline before building it.
Build, debug, and deploy Google Agent Development Kit (ADK) applications in Go using the exact adk-go v0.6.0 APIs and patterns. Use when a task involves ADK Go agent architecture, llmagent configuration, tools/toolsets, sessions/state, memory/artifacts, workflow agents, A2A/REST/web serving, telemetry/plugins, or migration/troubleshooting for google.golang.org/adk@v0.6.0.
Use when writing ANY Mongoose query (.find, .findOne, .findById, .aggregate, .populate), adding database operations to services or controllers, wiring data between services, building endpoints that read or write to MongoDB, or reviewing code that chains service calls. TRIGGER especially when about to write a new findById or pass an ID where a document could be passed instead.
Go error handling patterns: wrapping with context, sentinel errors, custom error types, errors.Is/As chains, and HTTP error mapping. Use when implementing error returns, defining package-level errors, creating custom error types, wrapping errors with fmt.Errorf, or checking errors with errors.Is/As. Use for "error handling", "fmt.Errorf", "errors.Is", "errors.As", "sentinel error", "custom error", or "%w". Do NOT use for general Go development, debugging runtime panics, or logging strategy.
Expert blueprint for data-oriented design using Resource/RefCounted classes (item databases, character stats, reusable data structures). Covers typed arrays, serialization, nested resources, and resource caching. Use when implementing data systems OR inventory/stats/dialogue databases. Keywords Resource, RefCounted, ItemData, CharacterStats, database, serialization, @export, typed arrays.
Look up phone number information (carrier, type, caller name) and verify users via SMS/voice OTP. Use for phone verification and data enrichment. This skill provides Go SDK examples.
Review and implement safe concurrency patterns in Go: goroutines, channels, sync primitives, context propagation, and goroutine lifecycle management. Use when writing concurrent code, reviewing async patterns, checking thread safety, debugging race conditions, or designing producer/consumer pipelines. Trigger examples: "check thread safety", "review goroutines", "race condition", "channel patterns", "sync.Mutex", "context cancellation", "goroutine leak". Do NOT use for general code style (use go-coding-standards) or HTTP handler patterns (use go-api-design).
Deep dive on table-driven tests in Go: when to use them, when to avoid them, struct design, subtest naming, advanced patterns like test matrices and shared setup, and refactoring bloated tables into clean ones. Use when writing table-driven tests, refactoring test tables, reviewing table test structure, or deciding whether table-driven is the right approach. Trigger examples: "table-driven test", "table test", "test cases struct", "test matrix", "parametrize tests", "data-driven test", "refactor test table". Do NOT use for general test strategy, mocking, golden files, or fuzz testing (use go-test-quality). Do NOT use for benchmarks (use go-performance-review).
Review Go project architecture: package structure, dependency direction, layering, separation of concerns, domain modeling, and module boundaries. Use when reviewing architecture, designing package layout, evaluating dependency graphs, or refactoring monoliths into modules. Trigger examples: "review architecture", "package structure", "project layout", "dependency direction", "clean architecture Go", "module boundaries". Do NOT use for code-level style (use go-coding-standards) or API endpoint design (use go-api-design).
Detect performance anti-patterns and apply optimization techniques in Go. Covers allocations, string handling, slice/map preallocation, sync.Pool, benchmarking, and profiling with pprof. Use when checking performance, finding slow code, reducing allocations, profiling, or reviewing hot paths. Trigger examples: "check performance", "find slow code", "reduce allocations", "benchmark this", "profile", "optimize Go code". Do NOT use for concurrency correctness (use go-concurrency-review) or general code style (use go-coding-standards).
Security review for Go applications: input validation, SQL injection, authentication/authorization, secrets management, TLS, OWASP Top 10, and secure coding patterns. Use when performing security reviews, checking for vulnerabilities, hardening Go services, or reviewing auth implementations. Trigger examples: "security review", "check vulnerabilities", "OWASP", "SQL injection", "input validation", "secrets management", "auth review". Do NOT use for dependency CVE scanning (use go-dependency-audit) or concurrency safety (use go-concurrency-review).