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spark-integration

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Integrate Spark models for analysis and chat.

Software Engineering#content generation#node.js#text analysis#chat#llm integration#api calls#spark model
Authorptreezh
Version1.0.0
Installs0

System Documentation

What problem does it solve?

It standardizes access to the iFLYTEK Spark (星火) large language models so you can perform text analysis, intelligent chat, and content generation without rewriting API-call boilerplate each time.

Core Features & Use Cases

  • API integration layer: Wraps Spark model API calls with unified methods for downstream skills.
  • Multi-model support: Selects from spark-max, spark-pro, spark-standard, spark-mini, and spark-vision.
  • Common NLP tasks: Enables sentiment analysis, summary extraction, topic identification, open-ended text analysis, and generated content (article/summary/outline).
  • Use case: When you have multiple research-skills that need consistent LLM behavior, you can route their requests through this integration to analyze user text and produce structured outputs.

Quick Start

Provide your app credentials via environment variables and ask the AI to analyze the sentiment of a given text using the spark-integration skill.

Dependency Matrix

Required Modules

None required

Components

references

💻 Claude Code Installation

Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.

Please help me install this Skill:
Name: spark-integration
Download link: https://github.com/ptreezh/sscisubagent-skills/archive/main.zip#spark-integration

Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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