Development skills

Browse reusable Agent Skills, each with a clear purpose and practical guidance.

model-authoring

Empirical rules for authoring PyTorch models for on-device execution on Apple platforms, covering energy-efficient inference, scalable compute, and correctness testing. Use this skill whenever the user is writing, debugging, or reviewing PyTorch model code intended for on-device execution — even if they don't explicitly mention Neural Engine or Core AI. Covers BC1S layout, op compatibility, KV cache patterns, precision rules, PSNR verification, activation functions, and common issues.

1.43k repo starsObserved in 2 repos
Development
GitHub

model-compression-exploration

Systematically explore weight compression configurations (quantization and palettization) for a PyTorch model using coreai-opt, presenting a comprehensive overview of accuracy-vs-size tradeoff options. Use this skill whenever the user wants to compress a model, explore quantization or palettization options, understand compression config tradeoffs, reduce model size, or compare different compression techniques. Also trigger when the user mentions coreai-opt compression, weight quantization exploration, or palettization exploration — even if they don't say "explore" explicitly.

1.43k repo starsObserved in 2 repos
Development
GitHub

working-with-coreai

Use this skill whenever the user mentions coreai-torch, TorchConverter, coreai-build, AIModel, AIProgram, .aimodel, or wants to export/compile/run a PyTorch model on Apple silicon (iPhone, iPad, Mac). Also triggers for "deploy on device", "optimize for on-device performance", onboarding new models to Core AI, or choosing between iOS and macOS deployment paths.

1.43k repo starsObserved in 2 repos
Development
GitHub

update-api

Parse Telegram Bot API docs and rebuild generated Ruby types and endpoints

1.43k repo starsObserved in 1 repos
Development
GitHub

rust-style-guide

Apply this Rust style guide when writing, reviewing, refactoring, or configuring Rust code for this project. Covers Rust 2024/MSRV, library vs application conventions, public API design, errors, panics, ownership and cloning, async/Tokio/concurrency, tracing, rustfmt/Clippy, testing with nextest, and unsafe/macro policy. Also use when setting up new Rust projects, investigating Rust performance, verifying library releases, or reviewing Rust code changes.

1.42k repo starsObserved in 1 repos
Development
GitHub

MLOps Industrialization

Guide to transform prototypes into robust, distributable Python packages using the src layout, hybrid paradigm, and strict configuration management.

1.42k repo starsObserved in 1 repos
Development
GitHub

MLOps Initialization

Guide to initialize a new MLOps project with standard tools (uv, git, VS Code) and best practices.

1.42k repo starsObserved in 1 repos
Development
GitHub

MLOps Prototyping

Guide to create structured, reproducible Jupyter notebooks for MLOps prototyping, emphasizing configuration management and pipeline integrity.

1.42k repo starsObserved in 1 repos
Development
GitHub

pocketbase

Models PocketBase backends: collections, relations, auth, API rules, migrations, and architecture. Use when designing schema, security rules, data modeling, choosing between hooks vs client access, or explaining PocketBase platform concepts — not for npm JS SDK code or pb_hooks.

1.42k repo starsObserved in 1 repos
Development
GitHub

pocketbase-admin-plugins

Builds PocketBase superuser admin UI extensions (admin plugins) on PB ≥0.37: ServeEvent.uiExtensions, client main.js, window.app SPA hooks, Shablon UI, reactive stores, CSP, SSE/realtime topics. Use when extending the PocketBase admin dashboard, operator pages, custom collection tabs/fields, live dashboards, or mothership post-v0.39 operator tooling — not for pb_hooks server logic alone (see pocketbase-jsvm) or external SPAs.

1.42k repo starsObserved in 1 repos
Development
GitHub