GitHub
ran-optimizer
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...
Skills IA tools framework internals
Découvrez les skills tools framework internals, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools framework internals
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Explorer
GitHub
ran-dspy-mobility-optimizer
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...
GitHub
energy-optimizer
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...
GitHub
deep-analysis
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...
GitHub
error-conversion-guide
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.
GitHub
context-resume
Load module context from handoff files to resume work
GitHub
strix-halo-setup
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,...
GitHub
rust-2024-migration
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.
GitHub
typeclass-design
Implement typeclasses with curried signatures and dual APIs for both data-first and data-last usage
GitHub
performance
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 "...
GitHub
rust-performance
High-performance Rust optimization. Profiling, benchmarking, SIMD, memory optimization, and zero-copy techniques. Focuses on measurable improvements with evidence-based optimization.
GitHub
execution
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.
GitHub
n64-decomp-ido
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.
GitHub
context-optimization
Extend effective context capacity through compression, masking, caching, and partitioning techniques.
GitHub
state-reconciliation-semantics
Master the internal fiber reconciliation algorithm to predict and optimize render operations at a highly granular level.
GitHub
react-18-compiler-assisted-optimization
Leverage compiler-level optimizations to minimize re-renders and improve scheduling efficiency.
GitHub
fiber-scheduling-theory
Apply deep knowledge of Fiber scheduling to reason about rendering priorities, preemption, and starvation avoidance.
GitHub
input-latency-governance
Achieve and maintain low input latency by engineering event-to-render pipelines.
GitHub
edge-rendering-strategies
Distribute rendering logic to edge nodes to minimize TTFB and support personalized caching.
GitHub
patternsvtable
Vtable Pattern (C-Specific) pattern for C development
GitHub
patternsopaque-pointer
Opaque Pointer Pattern pattern for C development
GitHub
first-principles-design
First-principles approach to plugin design. Use when designing new plugins, evaluating features, or simplifying existing implementations.
GitHub
typescript-patterns
Advanced types, strict mode, type safety
GitHub
rust-development
Use when writing Rust code for memory safety, performance, and systems programming
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.