Esta skill deve ser usada quando o usuรกrio solicitar candidaturas automรกticas em vagas do LinkedIn relacionadas a Inteligรชncia Artificial (IA) no Brasil, priorizando vagas com cadastro simplificado (Easy Apply). A skill filtra vagas por palavras-chave de IA, localizaรงรฃo no Brasil, nรญvel de senioridade (se especificado) e tipo de candidatura simplificada.
Build AI agents with OpenAI Agents SDK, tool registration, conversation history, and stateless execution. Use when creating AI agents, registering tools, or handling conversations.
LLM integration patterns for Claude, GPT, Gemini, and Ollama. Activate for AI API integration, prompt engineering, token management, and multi-model orchestration.
Query AI model specifications, pricing, and capabilities from models.dev database. Use when users ask about AI model parameters (context window, token limits, cost per token), model comparisons, provider information, or need to look up specific model IDs for AI SDK integration. Triggers on queries like "What's the context window for GPT-4o?", "Compare Claude vs GPT", "How much does Gemini Pro cost?", "List OpenAI models", or "What models support tool calling?".
End-to-end system for creating supervised fine-tuning datasets from books and training style-transfer models. Covers text extraction, intelligent segmentation, synthetic instruction generation, Tinker-compatible output, LoRA training, and validation.
Guide for implementing Google Gemini API image understanding - analyze images with captioning, classification, visual QA, object detection, segmentation, and multi-image comparison. Use when analyzing images, answering visual questions, detecting objects, or processing documents with vision.
Universal transformation ฮป(ฮฟ,K).ฯ with recursive self-improvement. USE WHEN routing reasoning, validating knowledge graphs, preparing CICM/ANZCA examinations, or when self-improvement of reasoning/architecture/context is required. Routes queries through R0-R3 complexity pipelines, validates topology (ฮทโฅtarget) and governance (KROG), emits per style (ฮฆ), and compounds learnings into knowledge K. Triggers on complexity assessment, multi-step reasoning, examination mode, or /ฮป invocation.
Use when starting any conversation - establishes how to find and use skills, requiring Skill tool invocation before ANY response including clarifying questions
Comprehensive quality audit for CLAUDE.md context files. Use when performing thorough quality checks, preparing for releases, ensuring context efficiency, or verifying token optimization.
Meta-skill creation and optimization system using pattern recognition, intelligent tool selection, and automated quality assurance.
This skill should be used when the user asks to "build an AI agent", "create a chatbot", "use Cloudflare Agents SDK", "stateful AI agent", "WebSocket agent", or is developing AI agents on Cloudflare infrastructure.
Set up the embedding model for semantic search. model2vec-rs downloads models automatically; use when build fails or model download issues occur.
Complete guide to Agent Skills - modular capabilities that extend Claude's functionality. Use when user asks about creating Skills, Skill structure, progressive disclosure, or custom capabilities for Claude.
Design and build Glif AI workflows. Use when creating new glifs, planning workflow structure, or understanding block types.
Create, optimize, and debug high-performing prompts for Claude 4 models and GLM 4.7 (Z.ai) with production-ready templates and evidence-based techniques. Use this skill when the user asks to create a prompt, write a prompt, improve a prompt, build a prompt chain, design a system prompt, adapt a prompt for GLM 4.7, or needs prompt engineering guidance. Also handles prompt refinement and follow-up modifications.
Apply optimization techniques to extend effective context capacity. Use when context limits constrain agent performance, when optimizing for cost or latency, or when implementing long-running agent systems.
This skill should be used when the user wants collaborative, iterative development instead of autonomous implementation. It transforms Claude from "autonomous implementer" to "pair programmer" by enforcing ask-before-assuming, show-before-writing, iterate-in-small-chunks, and get-approval-at-each-step patterns. Trigger when user explicitly requests paired programming or when working on complex/novel features requiring collaboration.
Generate images via Gemini 3 Pro Image API. Use when "generate an image", "create a hero image", "make an image showing", "nano banana".
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.
Minimal example skill that turns a natural-language procedure description into a structured list of steps. Serves as the reference pattern for other MOVA skills in this lab.
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