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84
Analyzes text sentiment in PT-BR and EN with classification (positive/negative/neutral), confidence score and entity extraction.
nlpsentimenttext-analysisclassification
Linguagens
PythonTypeScript
Documento do Skill
SKILL.mdsentiment-analyzer/workflow
1
SENSE — Receive and preprocess text
Normalization (lowercase, remove URLs, emojis)
Language detection
2
CONTEXTUALIZE — Enrich context
User/product history
Conversation context (reply, thread)
3
HYPOTHESIZE — Classify sentiment
Polarity score (-1 to +1)
Categorical classification (positive/negative/neutral)
Sarcasm and irony detection
4
EVALUATE — Extract entities
Named entities mentioned
Aspects (product, service, price)
5
RECOMMEND — Generate insights
Classification confidence
Action suggestions based on sentiment
Telemetria de Agentes
Execuções
15.6K
total
Taxa de Sucesso
83%
últimos 30d
Latência Média
1.8s
p50
Alucinação
3.0%
detecção
Uso por Plataforma
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claude-code5.2K
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Árvore do Skill
Sentiment Analyzer
sentiment-analyzer
Fases Cognitivas5
1.SENSE
2.CONTEXTUALIZE
3.HYPOTHESIZE
4.EVALUATE
5.RECOMMEND
Triggers4
analisar sentimentosentiment analysisclassificar textoopinião do usuário
MCP Servers1
🔌
OpenAI MCP
Embedding generation, completions and moderation via OpenAI API
https://api.openai.com/v1/mcpConfigConfigure OPENAI_API_KEY
Skills Associados2
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Score Breakdown
⭐Avaliação Humana86%
🤖Sucesso de Agentes83%
🕐Atualidade85%
🔗Saúde de Dependências100%
🕸️Centralidade no Grafo55%
🛡️Segurança49%
CompositeScore = α·Humano + β·Agente + γ·Recência + δ·Deps + ε·Centralidade + ζ·Segurança
Instalação
$ skillschain install sentiment-analyzer
$ skillschain use sentiment-analyzer