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ai-engineer - AI Integration Specialist

Integrate LLM APIs, build RAG pipelines, control token costs, and prevent prompt injection attacks

Tags

Updated: 2026-05-09

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • select LLM model
  • build RAG pipeline
  • design prompt
  • cache prompts
  • trim context
  • stream response
  • prevent prompt injection
  • prevent data leak
  • call LLM API
  • create vector embedding
  • query vector database
  • chunk text
  • validate input
  • filter output
  • log prompts
  • log responses
  • monitor usage

Inputs

  • LLM API key
  • documents
  • vector database
  • question
  • user message
  • traffic estimate

Outputs

  • Markdown blueprint file
  • code snippet
  • model recommendation
  • cost analysis
  • RAG query result
  • AI response

Requirements

  • LLM API account
  • vector database
  • Python runtime
  • Node.js runtime
  • GPU (for local models)

Source

  • Spec: SKILL.md
LLM
RAG
AI integration
prompt engineering
token cost optimization
vector database
AI security
production deployment
select LLM model
build RAG pipeline
design prompt
cache prompts
LLM API key
documents
vector database
Markdown blueprint file
code snippet
model recommendation