Quality

Golang Benchmark measures and compares Go benchmark results with benchstat, profiles CPU and memory data with pprof, and sets up CI regression detection. Use it when writing, running, or analyzing Go benchmarks, or investigating production performance with Prometheus runtime metrics.

Golang Concurrency provides patterns and review/audit guidance for writing safe concurrent Go code using goroutines and channels. Use it when writing, reviewing, or auditing concurrent code to avoid goroutine leaks, race conditions, and channel ownership issues.

Golang Context provides idiomatic patterns for context.Context in Go, covering propagation through API boundaries, cancellation, timeouts, deadlines, and request-scoped values. Use when designing context propagation across layers, debugging leaked or unexpired contexts, or choosing between context.Background, TODO, and WithoutCancel.

Golang Data Structures covers slices, maps, arrays, container/list, heap, ring, strings.Builder vs bytes.Buffer, generic collections, unsafe/weak pointers, and copy semantics. Use it when choosing or optimizing Go data structures, implementing generic containers, using container packages, or questioning slice/map internals.

Golang Database provides best practices for safe Go database access using database/sql, sqlx, and pgx. Use when writing, reviewing, or debugging Golang code that interacts with PostgreSQL, MariaDB, MySQL, or SQLite.

Golang Dependency Injection explains when and how to apply DI in Go, covering manual constructor injection and libraries like google/wire, uber-go/dig, uber-go/fx, and samber/do. Use it when designing service architecture, refactoring coupled code, or selecting a DI library.

Calibrate Sample Dataset runs end-to-end calibration on the bundled sample dataset against a running AutoMagicCalib (AMC) microservice to verify a fresh AMC stack. Use it when the user asks to test the sample dataset, run sample calibration, or verify the AMC install.

cuPyNumeric Migration Readiness assesses NumPy code before porting to cuPyNumeric, identifying which APIs will scale on GPU and which need refactoring. Use it before starting a migration to get a verdict and concrete refactor pointers.

Advanced Red Team Ops provides a methodology for red team engagements covering OPSEC, C2 infrastructure, living-off-the-land, lateral movement, persistence, and exfiltration. Use it when planning advanced red team operations or studying APT TTPs.

Basic Exploitation teaches foundational Linux exploitation techniques such as controlling EIP/RIP, ROP chain construction, ret2libc, shellcode injection, and heap spraying. Use it when building initial proofs of concept or understanding classic exploitation primitives with mitigations disabled.

Bug Identification provides a systematic methodology for discovering software vulnerabilities through static analysis, dynamic analysis, fuzzing, and AI-assisted techniques. Use it for code audits, bug bounty triage, or building vulnerability identification pipelines.

Crash Analysis triages crash dumps and debugger output to determine if a vulnerability is exploitable. Use it when assessing fuzzer crashes, reading stack traces, or identifying root causes with WinDbg, GDB, ASAN, or MSAN.