LLM & Agents

Expert system for designing and architecting AI agent workflows based on proven Meta methodologies. Use when users need to build AI agents, create agent workflows, solve problems using agentic systems, integrate multiple tools into agent architectures, or need guidance on agent design patterns. Helps translate business problems into structured agent solutions with clear scope, tool integration, and multi-layer architecture planning.

Upload images to Imgur for free hosting. Use this skill when you need to upload images and get public URLs for sharing or embedding in articles.

[CLAUDE CODE ONLY] Leverage Gemini CLI for AI peer review, second opinions on architecture and design decisions, cross-validation of implementations, security analysis, alternative approaches, and holistic codebase analysis. Requires terminal access to execute Gemini CLI commands. Use when making high-stakes decisions, reviewing complex architecture, analyzing large codebases (1M token context window), or when explicitly requested for a second AI perspective. Must be explicitly invoked using skill syntax.

Generate concise CLAUDE.md files and agent documentation following best practices. Use when setting up a new project for Claude Code, auditing existing CLAUDE.md, or creating progressive disclosure documentation structure.

Testing - Principes TDD/BDD. Use when writing tests, reviewing test coverage, or setting up testing.

Coordinate multi-agent software delivery with guardrails for planning, implementation, testing, and release.

Transform extracted engineer expertise into an actionable skill with progressive disclosure, allowing agents to find and apply relevant patterns for specific tasks.

Apply quantization to reduce memory by 4-32x. Enable HNSW indexing for 150x faster search. Configure caching strategies and implement batch operations. Use when optimizing memory usage, improving search speed, or scaling to millions of vectors. Deploy these optimizations to achieve 12,500x performance gains.

Regra 07: Testes. Use when writing tests, reviewing test coverage, or setting up testing.

Determine the best Anthropic architecture for your project by analyzing requirements and recommending the optimal combination of Skills, Agents, Prompts, and SDK primitives.

Engineers effective prompts using systematic methodology. Use when designing prompts for Claude, optimizing existing prompts, or balancing simplicity, cost, and effectiveness. Applies progressive disclosure and empirical validation to prompt development.

Scaffold new Claude Code skills with correct frontmatter, directory layout, contracts, and validation assets.

Coordinate with other AI agents via project-local Maildir messaging. Use when operating in tandem mode with Claude, Gemini, or other agents. Enables claiming tasks, reporting completion, handling blocks, and synchronizing work across terminals.

Enables autonomous pattern recognition, storage, and retrieval at project level with self-learning capabilities for continuous improvement

Performance tuning for AgentDB across indexing, storage, and query paths.

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Optimize prompts for clarity, structure, determinism, and epistemic hygiene with explicit confidence ceilings.

Drive iterative refinement loops with evidence capture, evaluation checkpoints, and stop conditions for skills, prompts, or agents.

Comprehensive prompt iteration workflow for debugging and improving Langfuse prompts. Analyzes codebase usage, sets up reproducible tests, runs iterative refinement cycles with user feedback. Use when user says "prompt X isn't working right", "improve prompt", "iterate on prompt", "refine prompt", or "test prompt changes".

Rule 07: Testing. Use when writing tests, reviewing test coverage, or setting up testing.