Ai

Teaches well-known prompt engineering techniques and patterns, including Anthropic best practices and agent persuasion principles

Generate images using Google Gemini's image generation API for UI mockups, icons, illustrations, and visual assets

Edge-native MCP server patterns for production RAG

Context engineering techniques

Mind cloning with LLM skills

Comprehensive context engineering tutorial covering attention mechanics, progressive disclosure, context budget management, and quality vs quantity trade-offs for AI agent development

Reference guide for multi-agent architecture patterns including Supervisor/Orchestrator, Peer-to-Peer/Swarm, and Hierarchical, with context isolation principles and Claude Code implementation

Comprehensive Claude Code agent evaluation framework with multi-dimensional scoring, LLM-as-Judge mode, and research-backed performance variance analysis

Guide to 8 LLM reasoning techniques: Chain-of-Thought, Zero-shot CoT, Self-Consistency, Tree of Thoughts, Least-to-Most, ReAct, PAL, and Reflexion with research citations

Iterative self-improvement system with task complexity grading, strict quality gatekeeper role, confidence thresholds, and verification checklists

Multi-perspective review system using Multi-Agent Debate and LLM-as-Judge patterns with 3 specialized judges, debate rounds, and consensus building

Complete guide for creating Claude Code agents with YAML frontmatter structure, agent file format, trigger condition design, and system prompt writing

TDD methodology for skill creation — test with subagents first, write skill to address failures, iterate until bulletproof against rationalization

Systematic ToT reasoning framework with 6 phases: explore, prune, expand, evaluate, adaptive strategy selection, and synthesis with parallel agent dispatch

Launch multiple sub-agents in parallel with intelligent model selection, Zero-shot CoT reasoning, independence verification, and batch operation scheduling

Single-task execution with LLM-as-Judge verification in an iterative loop, supporting auto-retry and strict orchestrator role separation

Agentic Context Engineering memory system that extracts insights from reflections and critiques, curates them, and updates CLAUDE.md as an evolving knowledge base

Standalone LLM-as-Judge evaluation tool with context isolation, Chain-of-Thought scoring, multi-dimensional weighted rubric, and evidence-backed assessments

First Principles reasoning framework with hypothesis generation, logical and evidence validation, layered trust audit (L0/L1/L2), and reliability scoring

Test any Claude skill using RED-GREEN-REFACTOR cycle with subagent pressure testing to verify the skill resists agent rationalization and bypass attempts

Universal prompt testing methodology using RED-GREEN-REFACTOR cycle with subagents, supporting A/B testing and regression testing for commands, hooks, skills, and production prompts

MCP server development guide with agent-centric design principles, workflow-first approach, and dual Python (FastMCP) / TypeScript implementation support

Debug LangChain and LangGraph agents by fetching execution traces from LangSmith Studio with 4 workflows: quick debug, deep dive, export, and error pattern detection