AI skills for Zig
AI Coding Skills for Zig
Browse the best AI coding skills for Zig in 2026, Zig 0.14 features, C interop patterns, zig test framework, and migration from C / C++.
Short answer
The best AI coding skills for Zig are skills-hub's `code-review`, `unit-test` (built-in zig test), `migrate` (C → Zig), and `secure`. Portable across Claude Code, Cursor, Codex CLI, Copilot, and Cline.
Zig in 2026 is increasingly the choice for systems work where C++ is too complex and Rust is too opinionated. The skills below detect your Zig stack (Zig 0.14+, build.zig as the build system, comptime-heavy code) and emit idiomatic Zig, proper error sets, defer / errdefer patterns, comptime for generic code, and clean C interop via @cImport.
Top skills for Zig
01elliott-wave
2 installsElliott Wave Theory signal engine. Detects swing points through Zigzag, matches 5-wave impulse and 3-wave corrective structures, validates them with Fibonacci wave relationships, and generates trend-top / correction-complete signals. Pure in-house pandas implementation.
Productfrom Vibe-Trading02offensive-iot
IoT and embedded device security testing methodology. Covers hardware reconnaissance (UART, JTAG, SWD, SPI flash, I2C EEPROM, eMMC chip-off), firmware acquisition (vendor portals, OTA capture, flash dump, binwalk extraction), firmware analysis (filesystem mounting, binary triage, hardcoded secrets, default credential discovery), bootloader attacks (U-Boot console, secure-boot bypass, fault injection), runtime attacks on embedded Linux/RTOS (busybox CVEs, MTD writes, /dev/mem), wireless protocol attacks (Zigbee, BLE, Z-Wave, LoRaWAN, Thread/Matter, sub-GHz), MQTT/CoAP/Modbus/BACnet/OPC-UA exploitation, mobile companion app analysis, cloud-IoT API abuse, and side-channel/glitching basics. Use for IoT pentest, smart-home assessment, ICS/OT testing, or embedded vulnerability research.
Buildfrom Claude-Red03offensive-zigbee-thread-matter
Zigbee, Thread, and Matter mesh-protocol attack methodology — IEEE 802.15.4 sniffing with TI CC2531 / CC2540 / Sonoff Zigbee Dongle E, KillerBee toolkit, Touchlink commissioning abuse with the well-known transport key, replay/injection attacks, Zigbee Cluster Library command abuse for door locks and bulbs, Thread network credential theft, Matter commissioning chain analysis, and 6LoWPAN/IPv6 routing exploitation. Use when targeting smart-home or commercial mesh deployments, Zigbee-based door locks, lighting, or sensor networks.
Buildfrom Claude-Red
Frequently asked questions
Do AI skills know Zig 0.14 conventions?
Yes, modern skills use proper error sets, defer/errdefer for cleanup, comptime for compile-time generic code, and the current build.zig idiom (vs the older build.zig.zon-only approach).
Can AI migrate C code to Zig?
Yes, the migrate skill detects C → Zig migration intent and uses @cImport for incremental migration. It also catches common pitfalls like alignment mismatches and signed/unsigned conversions.
What's the best AI tool for Zig?
Cursor with the Zig language server is the best inline experience. Claude Code handles multi-file Zig refactors well; Zig's pattern surface is well-represented in skills-hub's catalog despite being smaller than mainstream languages.
Do AI skills handle build.zig?
Yes, the dockerize and full-deploy skills know modern build.zig structure (b.standardTargetOptions + b.standardOptimizeOption + b.installArtifact) and emit proper module + executable + test step setup.