Trending skills

Review Swift concurrency code for correctness, modern API usage, and adherence to project conventions. Report only genuine problems - do not nitpick or invent issues.

OSS-Fuzz is an open-source project developed by Google that provides free distributed infrastructure for continuous fuzz testing. It streamlines the fuzzing process and facilitates simpler modifications. While only select projects are accepted into OSS-Fuzz, the project's core is open-source, allowing anyone to host...

Systematically scan Cairo smart contracts on StarkNet for platform-specific security vulnerabilities related to arithmetic, cross-layer messaging, and cryptographic operations. This skill encodes 6 critical vulnerability patterns unique to Cairo/StarkNet ecosystem.

Source details, install context, and public review data are available on the full page.

This skill provides technical knowledge and expertise about the DWARF standard and how to interact with DWARF files. Tasks include answering questions about the DWARF standard, providing examples of various DWARF features, parsing and/or creating DWARF files, and writing/modifying/analyzing code that interacts with...

libFuzzer is an in-process, coverage-guided fuzzer that is part of the LLVM project. It's the recommended starting point for fuzzing C/C++ projects due to its simplicity and integration with the LLVM toolchain. While libFuzzer has been in maintenance-only mode since late 2022, it is easier to install and use than its...

Systematically scan Substrate runtime modules (pallets) for platform-specific security vulnerabilities that can cause node crashes, DoS attacks, or unauthorized access. This skill encodes 7 critical vulnerability patterns unique to Substrate/FRAME-based chains.

Wycheproof is an extensive collection of test vectors designed to verify the correctness of cryptographic implementations and test against known attacks. Originally developed by Google, it is now a community-managed project where contributors can add test vectors for specific cryptographic constructions.

LibAFL is a modular fuzzing library that implements features from AFL-based fuzzers like AFL++. Unlike traditional fuzzers, LibAFL provides all functionality in a modular and customizable way as a Rust library. It can be used as a drop-in replacement for libFuzzer or as a library to build custom fuzzers from scratch.

Comprehensive schema validation guide for Zod in TypeScript applications. Contains 43 rules across 8 categories, prioritized by impact to guide automated refactoring and code generation.

Generate a complete favicon package from a logo, initials, or brand colours. Produces all required formats and HTML integration code.

Authentication module for Nuxt 4+ built on Better Auth . Provides composables, server utilities, and route protection.

Connect Claude to 1000+ apps. Actually send emails, create issues, post messages - not just generate text about it.

Process documents with the Nutrient DWS Processor API . Convert formats, extract text and tables, OCR scanned documents, redact PII, add watermarks, digitally sign, and fill PDF forms.

Terraform Stacks simplify infrastructure provisioning and management at scale by providing a configuration layer above traditional Terraform modules. Stacks enable declarative orchestration of multiple components across environments, regions, and cloud accounts.

AFL++ is a fork of the original AFL fuzzer that offers better fuzzing performance and more advanced features while maintaining stability. A major benefit over libFuzzer is that AFL++ has stable support for running fuzzing campaigns on multiple cores, making it ideal for large-scale fuzzing efforts.

Ruzzy is a coverage-guided fuzzer for Ruby built on libFuzzer. It enables fuzzing both pure Ruby code and Ruby C extensions with sanitizer support for detecting memory corruption and undefined behavior.

Systematically scan TON blockchain smart contracts written in FunC for platform-specific security vulnerabilities related to boolean logic, Jetton token handling, and gas management. This skill encodes 3 critical vulnerability patterns unique to TON's architecture.

Batteries-included agent component from ui.inference.sh .

The skill is based on Tailwind CSS v4.1.18, generated at 2026-01-28.

Source details, install context, and public review data are available on the full page.

After Design: Confirm every component has a redundancy strategy and no single points of failure exist in the topology.

You diagnose requirements-level problems in software projects. Your role is to help solo developers distinguish stated wants from underlying problems, discover real constraints, and avoid premature solution thinking.

Source details, install context, and public review data are available on the full page.