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Found 793 Skills
Guide for cross-compiling complex C programs (like DOOM) for embedded MIPS environments with custom VM runtimes. This skill applies when building software that targets MIPS architecture with limited stdlib support, custom syscall interfaces, or JavaScript-based VM execution environments. Use when cross-compiling games, applications, or any C code for constrained MIPS targets.
Use when researching or implementing anything related to Apple platforms (iOS, iPadOS, macOS, watchOS, tvOS, visionOS), Swift/Objective-C APIs, Apple frameworks, WWDC sessions, or Apple Developer Documentation. Triggers include: "find Apple's docs", "latest API guidance", "WWDC session", "platform availability", "SwiftUI/UIKit/AppKit/Combine/AVFoundation/etc.", or any Apple SDK coding question where authoritative docs are needed. Always use the apple-docs MCP tools for discovery and citations instead of general web search.
Guidance for implementing Adaptive Rejection Sampling (ARS) algorithms. This skill should be used when implementing rejection sampling methods, log-concave distribution samplers, or statistical sampling algorithms that require envelope construction and adaptive updates. It provides procedural approaches, performance considerations, and verification strategies specific to ARS implementations.
Guidance for developing CoreWars warriors that achieve target win rates against specific opponents. This skill should be used when tasks involve writing, optimizing, or debugging Redcode assembly warriors for the CoreWars programming game, particularly when win rate thresholds must be met against multiple opponents.
Guidance for building Caffe from source and training CIFAR-10 models. This skill applies when tasks involve compiling Caffe deep learning framework, configuring Makefile.config, preparing CIFAR-10 dataset, or training CNN models with Caffe solvers. Use for legacy ML framework installation, LMDB dataset preparation, and CPU-only deep learning training tasks.
Analyzes the conversation and tool usage to propose improvements to skills or store user preferences.
Generic tRPC implementation guide. Works with any framework (Next.js, Express, Fastify, Hono, Bun) and any package manager (pnpm, npm, yarn, bun).
Search data using vector similarity, full-text keywords, or hybrid methods with Reciprocal Rank Fusion (RRF). Use when setting up embeddings for search, configuring full-text indexing, writing vector_search/text_search/rrf SQL queries, using the /v1/search HTTP API, or configuring vector engines like S3 Vectors.
Comprehensive trading skills system with multi-broker support, strategy execution, and autonomous trading capabilities
Model software around the business domain using bounded contexts, aggregates, and ubiquitous language. Use when the user mentions "domain modeling", "bounded context", "aggregate root", "ubiquitous language", or "anti-corruption layer". Covers entities vs value objects, domain events, and context mapping strategies. For architecture layers, see clean-architecture. For complexity, see software-design-philosophy.
Structure software around the Dependency Rule: source code dependencies point inward from frameworks to use cases to entities. Use when the user mentions "architecture layers", "dependency rule", "ports and adapters", "hexagonal architecture", or "use case boundary". Covers component principles, boundaries, and SOLID. For code quality, see clean-code. For domain modeling, see domain-driven-design.
Implementation + audit loop using parallel agent teams with structured simplify, harden, and document passes. Spawns implementation agents to do the work, then audit agents to find complexity, security gaps, and spec deviations, then loops until code compiles cleanly, all tests pass, and auditors find zero issues or the loop cap is reached. Use when: implementing features from a spec or plan, hardening existing code, fixing a batch of issues, or any multi-file task that benefits from a build-verify-fix cycle.