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chatbot-sentiment-aware-dialog-skill-2026

Construye chatbots de alto rendimiento para sentiment aware dialog con dialogo robusto, guardrails claros y monitoreo continuo de calidad.

معلومات المصدر

المستودع
JonatanGS777/ai-skill-agent-control-deck-2026
آخر نشاط في المصدر
٥ أبريل ٢٠٢٦ في ٠٢:٥٢
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خيارات التثبيت

يُحدَّد Prompt الذي يراجع المصدر أولًا بشكل افتراضي. يمكنك التبديل إلى أمر مباشر أو تنزيل نسخة محلية.

مراجعة ملفات المصدر

اقرأ SKILL.md وأي ملفات مرافقة يعرضها SkillsMP قبل أن تقرر التثبيت.

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SKILL.md
تعليمات المصدر · معاينة للقراءة فقط
name
chatbot-sentiment-aware-dialog-skill-2026
description
Construye chatbots de alto rendimiento para sentiment aware dialog con dialogo robusto, guardrails claros y monitoreo continuo de calidad.
version
1.0.0
domain
chatbot-ai
quality_tier
expert
compatibility
["claude-code","codex"]
owner
yonatanguerrerosoriano
tags
["chatbot","conversational-ai","llm","guardrails","2026"]
foundation_skills
["logic-propositional-reasoning","logic-predicate-quantifiers","type-systems-foundations","probability-foundations","testing-verification-foundations","security-threat-modeling-foundations"]
# Chatbot Sentiment Aware Dialog Skill 2026 Skill ## Mission Construye chatbots de alto rendimiento para sentiment aware dialog con dialogo robusto, guardrails claros y monitoreo continuo de calidad. ## When to use - When the user asks for a repeatable workflow in this domain. - When a specialized checklist improves speed or quality. ## Inputs expected - Task objective and expected output. - Relevant files, paths, or system constraints. - Any non-negotiable requirements (security, style, deadlines). ## Workflow 1. Understand scope, assumptions, and risks. 2. Execute the workflow in a deterministic order. 3. Verify outcomes and report any limitations clearly. ## Output contract Provide results in this order: key outcome, concrete changes, validation status, next steps. ## Guardrails - Never fabricate facts, outputs, or tool results. - Ask for confirmation before destructive operations. - Prefer minimal, reversible changes when uncertain. ## Foundations - `logic-propositional-reasoning` - `logic-predicate-quantifiers` - `type-systems-foundations` - `probability-foundations` - `testing-verification-foundations` - `security-threat-modeling-foundations` ## Logical reliability checklist - Assumptions are explicit and separated from verified facts. - The solution path is justified with clear reasoning steps. - Edge cases and contradiction checks are included. - Output is testable, auditable, and reversible when possible. ## Example prompts - "Apply the chatbot-sentiment-aware-dialog-skill-2026 skill to handle this task end-to-end." - "Run chatbot-sentiment-aware-dialog-skill-2026 and produce a production-ready output with validation notes."
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