LLM & Agents

PRAgent スキル - Pull Request自動作成・Conventional Commits準拠・Draft PR自動生成。コード実装完了後、GitHub PRを自動作成し、レビュワー割り当て・説明文生成・関連Issue紐付けを実行。Use when:- Pull Requestを作成する時- Conventional Commits形式のタイトルが必要な時- レビュワーの自動割り当てが必要な時- 関連Issueの紐付けが必要な時- "PR作成", "プルリクエスト", "マージ" がキーワードに含まれる時

Guidelines for creating custom rules, custom skills, and custom subagents for Claude.

Design LLM applications using the LangChain framework with agents, memory, and tool integration patterns. Use when building LangChain applications, implementing AI agents, or creating complex LLM workflows.

Ensures comprehensive test coverage following Rails testing best practices

Configure Claude Code sandbox network isolation with trusted domains, custom access policies, and environment variables

Build production agentic applications on OCI using Oracle Agent Development Kit with multi-agent orchestration, function tools, and enterprise patterns

This skill analyzes incoming requests to optimize context usage, decompose tasks efficiently, and recommend the best execution strategy. It runs automatically to evaluate request specificity, identify necessary explorations, suggest subtask decomposition, recommend appropriate models, and coordinate MCP/Agent/Skill activations with user approval before execution.

Validates Testing Phase completion before advancing to Finalization Phase. Checks test execution results, coverage targets, test quality, and environment health. Ensures 100% test pass rate required by quality gates.

Use when researching AI agents, LLMs, hosting solutions, OCR technologies, video generation models, or evaluating technology stacks. Apply when user asks to research, compare, evaluate, or investigate technologies, frameworks, models, or tools. Use proactively when technical decisions require research backing.

How to properly create Claude Code skills - teaches global vs project-local, naming conventions, and proper file structure

Increase test coverage from 0% to 80%+ in ANY project, ANY testing framework

Use PROACTIVELY when developing Claude Code hooks to implement content-based deduplication and prevent duplicate insight storage across sessions

Fine-tuning Speech-to-Text models like Whisper using Unsloth's optimized LoRA pipeline. Triggers: stt, whisper, transcription, audio fine-tuning, speech-to-text, audio normalization.

OpenAI compatibility layer for Ollama. Use the official OpenAI Pythonlibrary to interact with Ollama, enabling easy migration from OpenAIand compatibility with LangChain, LlamaIndex, and other OpenAI-based tools.

This skill should be used when the user asks about "KV namespace", "R2 bucket", "D1 database", "Hyperdrive", "create binding", "list workers", "worker code", "storage binding", "database query", "object storage", "key-value store", "connection pooling", or needs to manage Cloudflare Workers storage and compute resources.

Build Telegram bots with modern frameworks.Use when: creating Telegram bot, chatbot, notification bot.Triggers: "telegram", "tg bot", "телеграм бот", "teloxide", "aiogram".

MAKER Framework orchestration skill - automatically activates when complexdevelopment tasks are detected. Triggers on keywords: create, build, implement,add, develop, make, set up, configure, refactor, migrate. Decomposes tasksinto atomic steps and coordinates execution through specialized agents.

Manage prompts in your Obsidian vault. Use for saving, listing, and loading reusable prompts. Triggers on /obsidian commands, Obsidian vault operations, or prompt management requests.

Ranks and scores retrieved documents based on similarity metrics from vector search. Use when sorting documents by relevance, prioritizing results, or when the user mentions ranking, scoring, or ordering documents.

Guide for building high-quality Model Context Protocol (MCP) servers that allow LLMs to interact with external services. Use when creating new MCP integrations, tools, or servers for Claude or other AI systems.