Total 38,919 skills
Showing 12 of 38919 skills
An opintionated skill to prepare a marimo notebook to make it ready for a scheduled run.
Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
Execute deployment through Makefile targets with ENV_MODE and optional VERSION overrides. Use when running real deployment or dry-run preview in Makefile-first workflow.
Lint Docker Compose files for Makefile-first deployment environments using .deploy.env.common + .deploy.env.<ENV_MODE>. Use when validating local/test/prod/custom compose files for image/build declaration, restart, healthcheck, logging, and external network settings.
Coding patterns extracted from OpenAI Codex Rust codebase - a production CLI/agent system with strict error handling, async patterns, and workspace organization
Normalize and validate deployment version under Makefile-first workflow. Use when reading or validating version for test/prod/custom environments before make-based deployment.
Archive deployment records with merged common+environment config context (including remote port) for Makefile-first deployment workflow.
Create network topology diagrams using drawio XML format with industry-standard device icons. Best for LAN/WAN diagrams, enterprise networks, cloud infrastructure, and vendor-specific diagrams (Cisco, Arista, Fortinet). Built on drawio with specialized network stencils. NOT for abstract dependency graphs (use graphviz) or simple flowcharts (use mermaid).
Blockchain smart contract specialist for Solidity, EVM, security patterns, and gas optimizationUse when "smart contract, solidity, ethereum, evm, contract, web3, gas optimization, upgradeable contract, reentrancy, solidity, ethereum, smart-contracts, evm, web3, blockchain, defi, nft, security, gas" mentioned.
Эксперт Detox тестирования. Используй для React Native E2E tests и mobile automation.
Эксперт по TypeScript. Используй для типизации, дженериков, декораторов, паттернов проектирования и best practices в TypeScript.
Эксперт AutoML. Используй для automated machine learning, hyperparameter tuning и model selection.