LLM & Agents

Implement caching strategies using @delon/cache. Use this skill when adding memory cache, LocalStorage cache, SessionStorage cache, or cache interceptors for HTTP requests. Supports TTL-based expiration, cache invalidation, cache grouping, and persistent storage. Optimizes performance by reducing redundant API calls and database queries.

Comprehensive code review skill for Wasp applications. Use when reviewing code, PRs, or architectural changes. Covers Wasp-specific patterns, import rules, auth checks, TDD compliance, multi-tenant permissions, and performance. Integrates all CLAUDE.md critical rules.

This skill should be used when moving data between storage locations, changing data structures, renaming fields, or removing deprecated data. Covers schema versioning, safe migration methods, the Foundry unset operator, and idempotent migrations.

Dynamic agent orchestration system that autonomously creates and dispatches specialized sub-agents with pre-selected skill subsets for complex multi-step tasks

This skill should be used when configuring or using the OpenCode CLI for headless LLM automation. Use when the user asks to "configure opencode", "use opencode cli", "set up opencode", "opencode run command", "opencode model selection", "opencode providers", "opencode vertex ai", "opencode mcp servers", "opencode ollama", "opencode local models", "opencode deepseek", "opencode kimi", "opencode mistral", "fallback cli tool", or "headless llm cli". Covers command syntax, provider configuration, Vertex AI setup, MCP servers, local models, cloud providers, and subprocess integration patterns.

Use when integrating OpenAI GPT models for conversational AI. Covers chat completions, streaming responses, function calling, system prompts, token management, cost optimization, error handling, and building specialized agent personas for Physical AI tutoring.

Enhance and refine prompts for AI coding agents using Chain-of-Thought reasoning. Use when user asks to improve, optimize, rewrite, or enhance a prompt. Transforms vague requests into structured, high-context instructions for Claude Code, Codex, or Gemini CLI.

タスクの複雑さに応じて Claude のモデルを自動的に切り替える。複雑なタスク（アーキテクチャ設計、大規模リファクタリング、難解なバグ修正）では opus を、単純なタスク（小さな修正、フォーマット、簡単な質問）では sonnet を自動選択。コストと品質のバランスを最適化。

Local RAG with Ollama and FAISS

Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies

Systematic technical debt reduction and code optimization agent. Use when refactoring code, reducing complexity, eliminating code smells, improving performance, cleaning up unused code, or modernizing legacy patterns. Handles dependency updates, architecture improvements, and codebase health metrics.

Autonomous development workflow. Generate detailed specs, plans, and tasks for autonomous agent execution with session memory tracking.

Skills for working with the agent-plane project itself. Demonstrates how skills work.

Complete visual QA - screenshots with full-page scroll to trigger animations, then analyze with Claude. Run after CSS/template changes.

Transform messy code into clean code through disciplined refactoring. Code smells, refactoring patterns, and the courage to improve without breaking. Leave every codebase better than you found it.

Guide for implementing Cloudflare R2 - S3-compatible object storage with zero egress fees. Use when implementing file storage, uploads/downloads, data migration to/from R2, configuring buckets, integrating with Workers, or working with R2 APIs and SDKs.

Generates comprehensive BDD/Gherkin tests for features. Triggers when user needs to write tests, create test scenarios, add test coverage, or verify feature completeness.

Design reusable prompt templates that encode domain-specific patterns for recurring AI development tasks.Use this skill when you've executed similar prompts 2+ times and need to capture the pattern as reusableintelligence. Transforms one-off prompts into parameterized templates that maintain quality while reducingcognitive load. Helps students move from Layer 2 (AI Collaboration) to Layer 3 (Intelligence Design) inthe 4-Layer Teaching Method.

Official Anthropic SDK for Claude AI with chat, streaming, function calling, and vision capabilities

Agent coordination, orchestration, and multi-agent workflow management scripts