Diego Rodrigues de Sa e Souza

Build multi-agent AI workflows with orchestration, tool use, and state management

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Imported skill agent from langchain

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Orchestrate Gemini CLI agent teams for parallel multi-agent collaboration

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Guide for creating effective skills. This skill should be used when users want to create a new skill (or update an existing skill) that extends Claude's capabilities with specialized knowledge, workflows, or tool integrations.

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Generate semantic + keyword match score. Compares resume content against job description to calculate a fit score and identify gaps.

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Skill for discovering and researching autonomous AI agents, tools, and ecosystems using the AgentFolio directory.

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AgentDB Vector Search Optimization operates on 3 fundamental principles:

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Comprehensive templates, patterns, and best practices for creating Claude Code subagents and skills. Use when building new agents/skills or need reference examples for proper structure and formatting.

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Create and manage AI agent skills following best practices. Use when creating new skills, optimizing context, designing multi-agent systems, or implementing progressive disclosure patterns.

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Expert task distributor specializing in intelligent work allocation, load balancing, and queue management. Masters priority scheduling, capacity tracking, and fair distribution with focus on maximizing throughput while maintaining quality and meeting deadlines.

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Test agent delegation patterns to verify hierarchy and escalation paths. Use after modifying agent structure.

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Ensure agent safety - guardrails, content filtering, monitoring, and compliance

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Ready-to-use prompt templates for specialized agents. Use when building n8n workflows, AI integrations, or sales materials. Contains structured prompts for automation-architect, llm-engineer, and sales-automator agents.

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Run prompt with OpenAI or Gemini provider via agent CLI

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Human and agent coordination protocol for repos using .agentprotocol. Use to manage TODO intake, open and archived work items, and plan/build docs with deterministic indexes.

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Expert prompt engineer specializing in designing, optimizing, and managing prompts for large language models. Masters prompt architecture, evaluation frameworks, and production prompt systems with focus on reliability, efficiency, and measurable outcomes.

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Track and report agent invocation metrics including usage counts, success/failure rates, and completion times. Use for understanding which agents are utilized, identifying underused agents, and optimizing agent delegation patterns.

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Expert in designing, orchestrating, and managing multi-agent systems (MAS). Specializes in agent collaboration patterns, hierarchical structures, and swarm intelligence. Use when building agent teams, designing agent communication, or orchestrating autonomous workflows.

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Test strategy, execution, and coverage analysis. Use when designing tests, running test suites, or analyzing test results beyond baseline checks.

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Generate markdown reports from issues. Filter by type, priority, epic, date range. Supports summary, detailed, progress, completion, velocity, and backlog analysis views.

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Analyze issues to identify the next work item and update focus.md. Enforces issue-first workflow and confidence-based batch limits.

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Coordinate multiple AI agents and skills for complex workflows

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Designs multi-step agent workflows with tool usage, retry logic, state management, and budget controls. Provides orchestration diagrams, tool execution order, fallback strategies, and cost limits. Use for "AI agents", "agentic workflows", "multi-step AI", or "autonomous systems".

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Analyze the codebase to create a concise, LLM-optimized structured overview in .agent/map.md.

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