fuzzing-obstacles
Overcoming fuzzing obstacles and improving fuzzer effectiveness.
Overcoming fuzzing obstacles and improving fuzzer effectiveness.
Test skill to validate skill loading mechanism
Bit manipulation tricks and techniques for solving problems efficiently using binary operations and XOR properties.
Production-grade skill for C++ performance optimization. Covers profiling, benchmarking, cache optimization, SIMD vectorization, multithreading, and lock-free programming techniques.
Add or modify AI primitive definitions in the data layer with correct typing and complete metadata. Use when adding new primitives, updating descriptions, or extending primitive categories.
MLX on Apple Silicon with JAX-style SplitMix64 PRNG. Deterministic color generation with GPU acceleration.
Low-level socket programming including BSD sockets, Winsock, and network byte manipulation
Load module context from handoff files to resume work
DSPy-based mobility optimization with temporal patterns, handover management, and 15% improvement target. Uses program synthesis and LLM reasoning for proactive mobility optimization and intelligent handover decision-making.
Complete setup for AMD Strix Halo (Ryzen AI MAX+ 395) PyTorch environments. Handles ROCm installation verification, PyTorch community builds (official wheels don't work with gfx1151), GTT memory configuration, and environment setup. Creates ready-to-use ML workspaces for running 30B parameter models.
Use when optimizing Swift code performance, reducing memory usage, improving runtime efficiency, dealing with COW, ARC overhead, generics specialization, or collection optimization
Specter-style bidirectional navigation for Julia Collections, S-expressions, and ACSets with inline caching
UV/UVX/Ruff toolchain for DiscoHy Thread Operad with Python packaging and linting
Lisp machine self-modification patterns via MCP Tasks and Narya bridge types
Unified homoiconic graph rewriting - λ-calculus, interaction nets, ACSets, CUDA parallelism
Sparsity-preserving skill versioning via Pijul patches with GF(3) projection gates
Comprehensive RAN optimization with swarm coordination, cognitive consciousness, and 15-minute closed-loop autonomous cycles. Use when optimizing RAN performance, implementing self-healing networks, deploying swarm-based optimization, or enabling cognitive RAN consciousness.
Lisp machine self-modification patterns via MCP Tasks and Narya bridge
UV/UVX/Ruff toolchain for DiscoHy Thread Operad with Python packaging and linting
Guides users through migrating to Rust 2024 edition features including let chains, async closures, and improved match ergonomics. Activates when users work with Rust 2024 features or nested control flow.
Interface nil trap - typed nil is not nil