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gar-ai AI Skills

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Explorez les skills IA publiés de gar-ai et consultez leurs instructions source.

Statistiques de l’auteur

Skills indexés

29

Étoiles des dépôts des skills indexés

29

Forks du dépôt

0

Moyenne des étoiles par skill indexé

1

Les étoiles d’un dépôt peuvent se répéter entre ses skills.

29 skills

Explorer

GitHub

rust-iterators

gar-ai

Leverage iterator chains for efficient, lazy data processing without intermediate allocations. Use when processing collections.

GitHub

mithril-core-agent

gar-ai

Build mithril-core shared infrastructure. Use when implementing storage, compression, hashing, or common types for the Mithril ML toolkit.

GitHub

rust-tracing

gar-ai

Instrument code with tracing spans and structured logging. Use for observability and performance analysis.

GitHub

rust-gpu-scheduling

gar-ai

Implement GPU scheduling with VRAM budgets, work queues, and model lifecycle management. Use when building ML pipeline orchestrators.

GitHub

rust-memory

gar-ai

Minimize allocations and cloning using references, Cow, and smart pointers. Use when optimizing hot paths or memory-constrained code.

GitHub

security-scan-local

gar-ai

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 cod...

GitHub

rust-project-setup

gar-ai

Initialize Rust projects with proper structure, essential crates, and Cargo.toml configuration. Use when starting new Rust binaries or libraries.

GitHub

git-worktree-manager

gar-ai

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 ma...

GitHub

rust-async-concurrency

gar-ai

Manage concurrent operations with channels, semaphores, locks, and streams. Use when coordinating parallel work or limiting resource usage.

GitHub

rust-candle-core

gar-ai

Build native Rust ML models with Candle framework. Use when implementing vision transformers, LLMs, or audio models with GPU acceleration.

GitHub

rust-candle-whisper

gar-ai

Implement native Rust ML inference with Candle framework. Use when building GPU-accelerated ML pipelines without Python dependencies.

GitHub

rust-code-organization

gar-ai

Structure Rust code using modules, traits, builders, and newtypes. Use when designing APIs, abstracting behavior, or preventing type confusion.

GitHub

mithril-cache-agent

gar-ai

Build mithril-cache for torch.compile caching. Use when implementing content-addressable storage, cache keys, eviction, or framework hooks.

GitHub

rust-mocking

gar-ai

Create mocks using mockall and trait-based abstractions. Use when unit testing code with external dependencies.

GitHub

skill-creator

gar-ai

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.

GitHub

rust-code-quality

gar-ai

Apply rustfmt and clippy linting standards for consistent, safe Rust code. Use before commits and in CI pipelines.

GitHub

rust-metrics

gar-ai

Expose Prometheus metrics with counters, gauges, and histograms. Use for production monitoring and alerting.

GitHub

rust-repository

gar-ai

Implement the repository pattern for database abstraction with sqlx, transactions, and retry logic. Use when building data access layers.

GitHub

rust-tokio-essentials

gar-ai

Core Tokio patterns including runtime setup, spawn_blocking for CPU work, and avoiding blocking operations. Use for any async Rust development.

GitHub

rust-error-handling

gar-ai

Design error types using thiserror for libraries and anyhow for applications. Use when defining error hierarchies or handling fallible operations.

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.