GitHub
rust-iterators
Leverage iterator chains for efficient, lazy data processing without intermediate allocations. Use when processing collections.
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gar-ai AI Skills
GitHub ↗浏览 gar-ai 维护的已发布 AI 技能，比较用途与说明，并通过来源仓库了解安装方式。
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已收录技能
29收录技能的仓库 Stars 合计
29仓库 Forks
0平均每个技能的仓库 Stars
1同一仓库中的多个技能可能共享 Stars，合计包含重复仓库数据。
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GitHub
mithril-core-agent
Build mithril-core shared infrastructure. Use when implementing storage, compression, hashing, or common types for the Mithril ML toolkit.
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GitHub
rust-tracing
Instrument code with tracing spans and structured logging. Use for observability and performance analysis.
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GitHub
rust-gpu-scheduling
Implement GPU scheduling with VRAM budgets, work queues, and model lifecycle management. Use when building ML pipeline orchestrators.
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GitHub
rust-memory
Minimize allocations and cloning using references, Cow, and smart pointers. Use when optimizing hot paths or memory-constrained code.
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GitHub
mithril-checkpoint-agent
Build mithril-checkpoint compression for PyTorch models. Use when implementing byte grouping, compression pipeline, or checkpoint I/O.
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GitHub
security-scan-local
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...
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GitHub
rust-project-setup
Initialize Rust projects with proper structure, essential crates, and Cargo.toml configuration. Use when starting new Rust binaries or libraries.
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GitHub
git-worktree-manager
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...
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GitHub
rust-async-testing
Write async tests with tokio::test and configure multi-threaded test runtimes. Use when testing async code.
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GitHub
rust-async-concurrency
Manage concurrent operations with channels, semaphores, locks, and streams. Use when coordinating parallel work or limiting resource usage.
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GitHub
rust-candle-core
Build native Rust ML models with Candle framework. Use when implementing vision transformers, LLMs, or audio models with GPU acceleration.
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GitHub
mithril-dedup-agent
Build mithril-dedup for ML dataset deduplication. Use when implementing MinHash, LSH, clustering, or document I/O.
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GitHub
rust-candle-whisper
Implement native Rust ML inference with Candle framework. Use when building GPU-accelerated ML pipelines without Python dependencies.
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GitHub
rust-code-organization
Structure Rust code using modules, traits, builders, and newtypes. Use when designing APIs, abstracting behavior, or preventing type confusion.
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GitHub
mithril-cache-agent
Build mithril-cache for torch.compile caching. Use when implementing content-addressable storage, cache keys, eviction, or framework hooks.
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GitHub
rust-mocking
Create mocks using mockall and trait-based abstractions. Use when unit testing code with external dependencies.
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GitHub
rust-ml-huggingface-porting
Port HuggingFace models to Candle with correct tensor naming. Use when debugging weight loading errors or matmul issues.
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GitHub
skill-creator
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.
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GitHub
rust-code-quality
Apply rustfmt and clippy linting standards for consistent, safe Rust code. Use before commits and in CI pipelines.
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GitHub
rust-metrics
Expose Prometheus metrics with counters, gauges, and histograms. Use for production monitoring and alerting.
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GitHub
rust-repository
Implement the repository pattern for database abstraction with sqlx, transactions, and retry logic. Use when building data access layers.
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GitHub
rust-tokio-essentials
Core Tokio patterns including runtime setup, spawn_blocking for CPU work, and avoiding blocking operations. Use for any async Rust development.
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GitHub
rust-error-handling
Design error types using thiserror for libraries and anyhow for applications. Use when defining error hierarchies or handling fallible operations.
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默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库，同一仓库的多个技能可能共享相同数值；它反映仓库关注度，不代表单个技能的安装量或质量评分。