LLM & Agents

Agent Skill: Systematic TYPO3 extension upgrades to newer LTS versions. Covers Extension Scanner, Rector, Fractor, PHPStan, and testing. Use when upgrading extensions to newer TYPO3 versions or fixing compatibility issues. By Netresearch.

Use when creating, designing, or building Claude Code skills. Auto-activates for "create a skill", "build a skill", "skill for X", or "make this into a skill". Provides complete 6-step creation protocol, embedded Anthropic documentation, working examples, and templates. Never need to fetch external docs again.

Presentation creation, editing, and analysis. When Claude needs to work with presentations (.pptx files) for: (1) Creating new presentations, (2) Modifying or editing content, (3) Working with layouts, (4) Adding comments or speaker notes, or any other presentation tasks

Testing and quality validation for Flutter code.USE WHEN: creating tests, verifying coverage, running E2E tests,validating code quality, checking test coverage thresholds.Minimum coverage: 80% overall, 95% services, 70% widgets.Examples:<example>Context: The user implemented a new feature.user: "I've just implemented the new itinerary creation service"assistant: "I'll use testing-agent to generate comprehensive tests and ensure quality."<commentary>New code needs testing - use testing-agent.</commentary></example><example>Context: The user wants to run E2E tests.user: "Run the E2E tests to validate the login flow"assistant: "I'll use testing-agent to execute E2E tests with MCP Chrome DevTools."<commentary>E2E testing is a testing-agent responsibility.</commentary></example>

Provides creative thinking prompts using concrete metaphors, dramatic scenarios, and strategic frameworks. Use when the user needs inspiration, is stuck on a problem, or wants to validate ideas from first principles.

ai-tools同期 - リポジトリと~/.claude/間の設定ファイル同期。to-local/from-local/diffモード。

Build, test, and distribute Claude Code plugins with slash commands, agents, skills, hooks, MCP servers, and LSP servers. MUST be loaded when creating, reviewing, debugging, or distributing plugins. Use PROACTIVELY when user mentions plugins, extensions, marketplaces, or wants to add custom commands/agents to Claude Code.

Index of AI agent skills and how to use them when implementing features in this repo.

Use when working with Neon serverless PostgreSQL database. Covers database setup, CLI commands, Drizzle ORM integration, schema migrations, connection pooling, and user data storage patterns for authentication and chat history.

Improve prompts for AI agents and Telegram bots using OpenAI's prompt engineering best practices. Analyzes clarity, specificity, context, and output format. Returns structured improvements.

Use when executing decomposed plans with parallel batches - dispatches up to 2 fresh subagents per batch with code review between batches, enabling fast parallel iteration with quality gates

Guide for implementing features in ClaudeBar following architecture-first design, TDD, rich domain models, and Swift 6.2 patterns. Use this skill when:(1) Adding new functionality to the app(2) Creating domain models that follow user's mental model(3) Building SwiftUI views that consume domain models directly(4) User asks "how do I implement X" or "add feature Y"(5) Implementing any feature that spans Domain, Infrastructure, and App layers

Standardizing and formatting datasets for Unsloth, including chat template conversion and synthetic data generation (triggers: chat templates, ShareGPT, Alpaca, conversation_extension, add_new_tokens, standardize_sharegpt, formatting_prompts_func).

Jest unit testing standards covering configuration, test structure, testing patterns, and coverage requirements

Learn how to use SKILL by following this SKILL specification.

Эксперт conversational AI. Используй для chatbot flows, dialog design, NLU intents и conversational UX.

Orchestrate end-to-end feature development from requirements through implementation, testing, and review. Use when: (1) planning feature development stages, (2) coordinating multi-agent feature workflows, (3) understanding SDLC phases for new features.

Use when modifying MCP servers that touch repo memory (especially docs-memory). Includes protocol guardrails, validation ladder, and how to store new capabilities as Skills so future agents don’t re-learn painful details. Triggers: docs-memory, mcp-server.js, tools/list, tools/call, stdio, headerless, JSON-RPC, protocol.

Build AI agents using prompt-native architecture where features are defined in prompts, not code. Use when creating autonomous agents, designing MCP servers, implementing self-modifying systems, or adopting the "trust the agent's intelligence" philosophy.

Full read-write access to remote storage backends (local, FTP, SFTP, S3, Azure). Upload files, delete files, create directories, in addition to listing and downloading. Use when you need to modify files on cloud storage, FTP servers, or remote filesystems.