agent-ai — for Claude Code agent-ai, TorqueCRMV2, community, for Claude Code, ide skills, — modelo de dominio do agente, — modelo de conversas, — specs de features de IA, — provider LLM, — RAG pipeline

v1.0.0
GitHub

このスキルについて

適した場面: Ideal for AI agents that need ai — ai/ml engineer. ローカライズされた概要: # AI — AI/ML Engineer Most fragile part of the system. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

機能

AI — AI/ML Engineer
Copilot agents (qualifier, SDR, followup, scheduler, prospector, custom)
RAG pipeline (Google Gemini embeddings + pgvector)
Prompt engineering with business context injection
Conversation management (status tracking, channel routing)

# Core Topics

for Claude Code — modelo de dominio do agente — modelo de conversas — specs de features de IA — provider LLM — RAG pipeline
fabiomilennials1234-a11y fabiomilennials1234-a11y
[0]
[0]
Updated: 4/21/2026

Killer-Skills Review

Decision support comes first. Repository text comes second.

Reference-Only Page Review Score: 8/11

This page remains useful for operators, but Killer-Skills treats it as reference material instead of a primary organic landing page.

Original recommendation layer Concrete use-case guidance Explicit limitations and caution
Review Score
8/11
Quality Score
33
Canonical Locale
en
Detected Body Locale
en

適した場面: Ideal for AI agents that need ai — ai/ml engineer. ローカライズされた概要: # AI — AI/ML Engineer Most fragile part of the system. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

このスキルを使用する理由

推奨ポイント: agent-ai helps agents ai — ai/ml engineer. AI — AI/ML Engineer Most fragile part of the system. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

おすすめ

適した場面: Ideal for AI agents that need ai — ai/ml engineer.

↓ 実現可能なユースケース for agent-ai

ユースケース: Applying AI — AI/ML Engineer
ユースケース: Applying Copilot agents (qualifier, SDR, followup, scheduler, prospector, custom)
ユースケース: Applying RAG pipeline (Google Gemini embeddings + pgvector)

! セキュリティと制限

  • 制約事項: You don't build chatbots — you build agents that convert leads to meetings
  • 制約事項: Requires repository-specific context from the skill documentation
  • 制約事項: Works best when the underlying tools and dependencies are already configured

Why this page is reference-only

  • - Current locale does not satisfy the locale-governance contract.
  • - The underlying skill quality score is below the review floor.

Source Boundary

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

After The Review

Decide The Next Action Before You Keep Reading Repository Material

Killer-Skills should not stop at opening repository instructions. It should help you decide whether to install this skill, when to cross-check against trusted collections, and when to move into workflow rollout.

Install Path

Start With Installation And Validation

If this skill is worth continuing with, the next step is to confirm the install command, CLI write path, and environment validation.
Trusted Recheck

Cross-Check Against Trusted Picks

If you are still comparing multiple skills or vendors, go back to the trusted collection before amplifying repository noise.
Workflow

Move To Workflow Collections For Team Rollout

When the goal shifts from a single skill to team handoff, approvals, and repeatable execution, move into workflow collections.
Labs Demo

Browser Sandbox Environment

⚡️ Ready to unleash?

Experience this Agent in a zero-setup browser environment powered by WebContainers. No installation required.

Boot Container Sandbox

FAQ & Installation Steps

These questions and steps mirror the structured data on this page for better search understanding.

? Frequently Asked Questions

What is agent-ai?

適した場面: Ideal for AI agents that need ai — ai/ml engineer. ローカライズされた概要: # AI — AI/ML Engineer Most fragile part of the system. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows.

How do I install agent-ai?

Run the command: npx killer-skills add fabiomilennials1234-a11y/TorqueCRMV2. It works with Cursor, Windsurf, VS Code, Claude Code, and 19+ other IDEs.

What are the use cases for agent-ai?

Key use cases include: ユースケース: Applying AI — AI/ML Engineer, ユースケース: Applying Copilot agents (qualifier, SDR, followup, scheduler, prospector, custom), ユースケース: Applying RAG pipeline (Google Gemini embeddings + pgvector).

Which IDEs are compatible with agent-ai?

This skill is compatible with Cursor, Windsurf, VS Code, Trae, Claude Code, OpenClaw, Aider, Codex, OpenCode, Goose, Cline, Roo Code, Kiro, Augment Code, Continue, GitHub Copilot, Sourcegraph Cody, and Amazon Q Developer. Use the Killer-Skills CLI for universal one-command installation.

Are there any limitations for agent-ai?

制約事項: You don't build chatbots — you build agents that convert leads to meetings. 制約事項: Requires repository-specific context from the skill documentation. 制約事項: Works best when the underlying tools and dependencies are already configured.

↓ How To Install

  1. 1. Open your terminal

    Open the terminal or command line in your project directory.

  2. 2. Run the install command

    Run: npx killer-skills add fabiomilennials1234-a11y/TorqueCRMV2. The CLI will automatically detect your IDE or AI agent and configure the skill.

  3. 3. Start using the skill

    The skill is now active. Your AI agent can use agent-ai immediately in the current project.

! Reference-Only Mode

This page remains useful for installation and reference, but Killer-Skills no longer treats it as a primary indexable landing page. Read the review above before relying on the upstream repository instructions.

Upstream Repository Material

The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.

Upstream Source

agent-ai

# AI — AI/ML Engineer Most fragile part of the system. This AI agent skill supports Claude Code, Cursor, and Windsurf workflows. AI — AI/ML Engineer

SKILL.md
Readonly
Upstream Repository Material
The section below is imported from the upstream repository and should be treated as secondary evidence. Use the Killer-Skills review above as the primary layer for fit, risk, and installation decisions.
Supporting Evidence

AI — AI/ML Engineer

Most fragile part of the system. Surgical care required. You don't build chatbots — you build agents that convert leads to meetings.

Domain

  • Copilot agents (qualifier, SDR, followup, scheduler, prospector, custom)
  • RAG pipeline (Google Gemini embeddings + pgvector)
  • Prompt engineering with business context injection
  • Conversation management (status tracking, channel routing)
  • AI action execution (move_stage, add_tag, schedule)
  • TTS (ElevenLabs voice notes)

Contexto obrigatorio (ler ANTES de agir)

  • Torque-dir-new/03 - Modelo de Dominio/Agente IA.md — modelo de dominio do agente
  • Torque-dir-new/03 - Modelo de Dominio/Conversa e Mensagem.md — modelo de conversas
  • Torque-dir-new/06 - Funcionalidades/IA/ — specs de features de IA
  • Torque-dir-new/10 - Referencias/Integracoes/Modelo LLM Generativo.md — provider LLM
  • Torque-dir-new/10 - Referencias/Integracoes/Embeddings Vetoriais.md — RAG pipeline
  • .specs/project/STATE.md — decisoes e bloqueadores

Rules

  • NEVER alter prompt engineering without testing with real conversation
  • NEVER ignore agentless edge case (graceful degradation)
  • NEVER leave message stuck in "pending" without timeout/retry
  • NEVER expose one org's data in another's conversation (RLS critical)
  • ALWAYS test complete flow: create → configure → activate → converse
  • ALWAYS consider: what if LLM returns malformed JSON?
  • ALWAYS validate WhatsApp character limits and formatting
  • Read full profile: Torque-dir-new/Agentes/AI.md

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