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Agent Skills in category: development

762 skills match this category. Browse curated collections and explore related Agent Skills.

TanStack Table

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tanstack-tabletypescriptreactdata-grid
Jeremy Dawes | Jezweb
Jeremy Dawes | Jezweb
81

tanstack-query

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tanstack-querydata-fetchingjavascriptreact-query
ovachiever
ovachiever
81

typescript-mcp

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typescriptmcpsdktype-definitions
ovachiever
ovachiever
81

typescript-advanced-types

Master TypeScript's advanced type system including generics, conditional types, mapped types, template literals, and utility types for building type-safe applications. Use when implementing complex type logic, creating reusable type utilities, or ensuring compile-time type safety in TypeScript projects.

typescripttype-safetygenericsconditional-types
ovachiever
ovachiever
81

using-tmux-for-interactive-commands

Use when you need to run interactive CLI tools (vim, git rebase -i, Python REPL, etc.) that require real-time input/output - provides tmux-based approach for controlling interactive sessions through detached sessions and send-keys

tmuxinteractive-cliterminal-multiplexercli-tools
ovachiever
ovachiever
81

TanStack Router

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tanstackrouterreactclient-side-routing
Jeremy Dawes | Jezweb
Jeremy Dawes | Jezweb
81

uv-package-manager

Master the uv package manager for fast Python dependency management, virtual environments, and modern Python project workflows. Use when setting up Python projects, managing dependencies, or optimizing Python development workflows with uv.

dependency-managementpythonvirtual-environmentsproject-setup
ovachiever
ovachiever
81

guidance

Control LLM output with regex and grammars, guarantee valid JSON/XML/code generation, enforce structured formats, and build multi-step workflows with Guidance - Microsoft Research's constrained generation framework

microsoftguidancejson-validationstructured-output
ovachiever
ovachiever
81

huggingface-tokenizers

Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.

huggingfacetokenizationnlprust
ovachiever
ovachiever
81

dspy

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

framework-selectiondeclarative-programmingretrieval-augmented-generationagent-framework
ovachiever
ovachiever
81

error-handling-patterns

Master error handling patterns across languages including exceptions, Result types, error propagation, and graceful degradation to build resilient applications. Use when implementing error handling, designing APIs, or improving application reliability.

error-handlingexceptionsresult-typesresilience
ovachiever
ovachiever
81

instructor

Extract structured data from LLM responses with Pydantic validation, retry failed extractions automatically, parse complex JSON with type safety, and stream partial results with Instructor - battle-tested structured output library

structured-outputpydanticjson-parsingretry-logic
ovachiever
ovachiever
81

modern-javascript-patterns

Master ES6+ features including async/await, destructuring, spread operators, arrow functions, promises, modules, iterators, generators, and functional programming patterns for writing clean, efficient JavaScript code. Use when refactoring legacy code, implementing modern patterns, or optimizing JavaScript applications.

javascriptES6async-awaitpromises
ovachiever
ovachiever
81

monorepo-management

Master monorepo management with Turborepo, Nx, and pnpm workspaces to build efficient, scalable multi-package repositories with optimized builds and dependency management. Use when setting up monorepos, optimizing builds, or managing shared dependencies.

monorepoturboreponxpnpm
ovachiever
ovachiever
81

Command Development

This skill should be used when the user asks to "create a slash command", "add a command", "write a custom command", "define command arguments", "use command frontmatter", "organize commands", "create command with file references", "interactive command", "use AskUserQuestion in command", or needs guidance on slash command structure, YAML frontmatter fields, dynamic arguments, bash execution in commands, user interaction patterns, or command development best practices for Claude Code.

slash-commandsyaml-frontmattercommand-argumentsbash
ovachiever
ovachiever
81

huggingface-accelerate

Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.

pytorchdistributed-computingdeep-learninghuggingface
ovachiever
ovachiever
81

artifacts-builder

Suite of tools for creating elaborate, multi-component claude.ai HTML artifacts using modern frontend web technologies (React, Tailwind CSS, shadcn/ui). Use for complex artifacts requiring state management, routing, or shadcn/ui components - not for simple single-file HTML/JSX artifacts.

reacttailwind-cssshadcn-uihtml-generation
ovachiever
ovachiever
81

async-python-patterns

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

asyncioconcurrent-programmingasync-awaitpython
ovachiever
ovachiever
81

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