Azure AI Text Analytics SDK for sentiment analysis, entity recognition, key phrases, language detection, PII, and healthcare NLP. Use for natural language processing on text.
Install with Tessl CLI
npx tessl i github:sickn33/antigravity-awesome-skills --skill azure-ai-textanalytics-py80
Does it follow best practices?
If you maintain this skill, you can automatically optimize it using the tessl CLI to improve its score:
npx tessl skill review --optimize ./path/to/skillEvaluation — 100%
↑ 1.56xAgent success when using this skill
Validation for skill structure
Sentiment analysis with opinion mining
Correct package
100%
100%
Batch documents
100%
100%
Opinion mining enabled
100%
100%
Accesses mined opinions
100%
100%
Error check per doc
100%
100%
Env var for endpoint
100%
100%
Env var for key
100%
100%
AzureKeyCredential usage
100%
100%
Confidence scores output
100%
100%
Target sentiment output
100%
100%
TextAnalyticsClient used
100%
100%
Without context: $0.4039 · 5m 2s · 26 turns · 32 in / 5,410 out tokens
With context: $0.4422 · 4m 9s · 24 turns · 186 in / 4,885 out tokens
PII detection and healthcare entity extraction
PII method used
100%
100%
Redacted text accessed
100%
100%
Healthcare method used
100%
100%
Poller result called
100%
100%
Normalized text accessed
100%
100%
Data sources accessed
30%
100%
Error check per doc
100%
100%
Batch input
100%
100%
Correct package import
100%
100%
Env vars used
100%
100%
Entity category output
100%
100%
Without context: $0.2886 · 3m 21s · 19 turns · 24 in / 4,704 out tokens
With context: $0.4875 · 4m 5s · 22 turns · 321 in / 8,015 out tokens
Multi-action batch analysis with async client
begin_analyze_actions used
0%
100%
RecognizeEntitiesAction imported
0%
100%
ExtractKeyPhrasesAction imported
0%
100%
AnalyzeSentimentAction imported
0%
100%
result.kind used
0%
100%
Async client used
0%
100%
Context manager used
0%
100%
Batch input
0%
100%
Poller result awaited
0%
100%
Error check per doc
0%
100%
Correct async import path
0%
100%
Without context: $0.6728 · 7m 34s · 33 turns · 40 in / 8,980 out tokens
With context: $0.4726 · 4m 24s · 24 turns · 296 in / 5,961 out tokens
Table of Contents
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