Discover testing security framework internals skills, compare source repositories and read the instructions for each workflow.
Apply performance optimization patterns for game loop, rendering, and state updates. Use when discussing frame rate, optimization, profiling, or when editing core game loop code. Auto-apply when user mentions "...
Optimizes outputs by interpreting underspecified prompts before execution. Analyzes user input, infers missing context and specifications, then executes an enhanced version. Produces better results directly rat...
Update a Raycast extension to the latest version
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 s...
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 de...
RAN energy efficiency optimization with cognitive consciousness, predictive power management, and autonomous energy-saving strategies for sustainable network operations. Use when optimizing RAN energy consumpti...
Structured multi-step reasoning for complex problems using MCP. Use this skill when facing architectural decisions, performance bottlenecks, complex debugging, system design challenges, or any problem requiring...
Guides users on error conversion patterns, From trait implementations, and the ? operator. Activates when users need to convert between error types or handle multiple error types in a function.
Load module context from handoff files to resume work
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,...
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.
Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage
Optimize pseudo-code for clarity, completeness, and efficiency
Deep reasoning protocol for exhaustive, multi-dimensional analysis and production-ready code generation. Suspends brevity for maximum depth and irrefutable logic.
Apply performance optimization patterns for game loop, rendering, and state updates. Use when discussing frame rate, optimization, profiling, or when editing core game loop code. Auto-apply when user mentions "...
Inline single-use helpers to reduce indirection.
Guides implementation of microcontroller hardware modules and PC interfaces using sl-micro-controllers and ataraxis-communication-interface. Covers firmware module creation, PC interface implementation, and int...
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
Compound Engineering workflow for AI-assisted development. Use when planning features, executing work, reviewing code, or codifying learnings. Follows the Plan → Work → Review → Compound loop where each unit of...
Use this skill ONLY when modifying the execution engine, signal queue, position tracker, cooldown manager, or order manager. Do not use for strategies or agents.
IDO build configuration for N64 decompilation. Use when setting up C compilation for an IDO-based N64 decomp project. Covers asm-processor setup and build integration.
Extend effective context capacity through compression, masking, caching, and partitioning techniques.
Master the internal fiber reconciliation algorithm to predict and optimize render operations at a highly granular level.
Leverage compiler-level optimizations to minimize re-renders and improve scheduling efficiency.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.