“Prompt engineering”

Lean iterative prompt refinement protocol - ELI10 structuring, clarifying questions, working examples, adversarial pressure testing, and verification-ladder…

LLM app development with RAG, prompt engineering, vector databases, and AI agents

Use when creating or editing any prompt (commands, hooks, skills, subagent instructions) to verify it produces desired behavior - applies RED-GREEN-REFACTOR…

Lightweight WebGL/WebGPU game engine with entity-component architecture and visual editor integration.

Defines service level objectives, creates error budget policies, designs incident response procedures, develops capacity models, and produces monitoring…

Phishing, pretexting, vishing, credential harvesting.

Validate system resilience through controlled fault injection.

Full-stack product engineering skill for React, Next.js, and TypeScript applications.

Testa o CYPHER V3 como trader profissional real — valida APIs, dados, latência, experiência completa

Use this skill when the user wants to get a Claude API key via WeClaude, onboard to WeClaude, top up Claude API credits, check balance, withdraw unused…

Build type-safe LLM applications with DSPy.rb — Ruby's programmatic prompt framework with signatures, modules, agents, and optimization.

Interact with Langfuse and access its documentation: tracing, monitoring, creating datasets, running experiments, and evaluating AI applications.

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Configure RTK filters, context engineering rules, and context relay settings.

Authorized security assessment of LLM applications and AI agents: prompt injection, tool abuse, RAG exposure, memory poisoning, system-prompt extraction, and…