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SkillsMP has collected 29 skills from gar-ai/mallorn. Open a skill to review its source and details.
Showing 29 of 29 collected skills.
Manage Git worktrees for parallel feature development. Use when the user wants to work on multiple branches simultaneously, create worktrees, switch between features, open terminals/editors for worktrees, or manage parallel development workflows.
Unified linting scripts for all services in the monorepo. Use when the user wants to lint code, check formatting, or run type checks.
Build mithril-cache for torch.compile caching. Use when implementing content-addressable storage, cache keys, eviction, or framework hooks.
Build mithril-checkpoint compression for PyTorch models. Use when implementing byte grouping, compression pipeline, or checkpoint I/O.
Build mithril-core shared infrastructure. Use when implementing storage, compression, hashing, or common types for the Mithril ML toolkit.
Build mithril-dedup for ML dataset deduplication. Use when implementing MinHash, LSH, clustering, or document I/O.
Manage concurrent operations with channels, semaphores, locks, and streams. Use when coordinating parallel work or limiting resource usage.
Implement graceful shutdown with signal handling and broadcast channels. Use when building long-running services or daemons.
Core Tokio patterns including runtime setup, spawn_blocking for CPU work, and avoiding blocking operations. Use for any async Rust development.
Apply rustfmt and clippy linting standards for consistent, safe Rust code. Use before commits and in CI pipelines.
Design error types using thiserror for libraries and anyhow for applications. Use when defining error hierarchies or handling fallible operations.
Initialize Rust projects with proper structure, essential crates, and Cargo.toml configuration. Use when starting new Rust binaries or libraries.
Implement native Rust ML inference with Candle framework. Use when building GPU-accelerated ML pipelines without Python dependencies.
Implement GPU scheduling with VRAM budgets, work queues, and model lifecycle management. Use when building ML pipeline orchestrators.
Bridge Rust and Python using PyO3 with proper GIL handling and async compatibility. Use when integrating Python ML models or libraries.
Implement S3 operations with rust-s3 including streaming downloads, multipart uploads, and batch operations. Use for cloud storage integration.
Build native Rust ML models with Candle framework. Use when implementing vision transformers, LLMs, or audio models with GPU acceleration.
Port HuggingFace models to Candle with correct tensor naming. Use when debugging weight loading errors or matmul issues.
Expose Prometheus metrics with counters, gauges, and histograms. Use for production monitoring and alerting.
Instrument code with tracing spans and structured logging. Use for observability and performance analysis.
Structure Rust code using modules, traits, builders, and newtypes. Use when designing APIs, abstracting behavior, or preventing type confusion.
Implement the repository pattern for database abstraction with sqlx, transactions, and retry logic. Use when building data access layers.
Leverage iterator chains for efficient, lazy data processing without intermediate allocations. Use when processing collections.
Minimize allocations and cloning using references, Cow, and smart pointers. Use when optimizing hot paths or memory-constrained code.
Configure release builds for maximum performance with LTO, optimizations, and binary stripping. Use for production deployments.
Write async tests with tokio::test and configure multi-threaded test runtimes. Use when testing async code.
Create mocks using mockall and trait-based abstractions. Use when unit testing code with external dependencies.
Run security scans locally (Semgrep, Trivy, Gitleaks) to detect vulnerabilities, secrets, and code issues before pushing. Use when the user wants to check for security issues, scan dependencies, or validate code security.
Create new Claude Code skills with proper structure and conventions. Use when the user wants to create a new skill, scaffold skill templates, or understand skill anatomy.