Comprehensive workflow for designing, building, and deploying LLM applications and AI agents.
Install
mkdir -p .claude/skills/ai-ml-christophacham && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/11471" && unzip -o skill.zip -d .claude/skills/ai-ml-christophacham && rm skill.zipInstalls to .claude/skills/ai-ml-christophacham
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.Key capabilities
- →Design AI-powered features and system architectures
- →Integrate LLMs by selecting providers and setting up API access
- →Implement RAG systems with data pipelines and vector databases
- →Develop AI agents with defined roles and tool integration
- →Build ML pipelines for data processing and model training
How it works
The skill orchestrates various sub-skills across seven phases: AI application design, LLM integration, RAG implementation, AI agent development, ML pipeline development, AI observability, and AI security.
Inputs & outputs
When to use ai-ml
- →Design LLM-powered applications
- →Implement RAG systems
- →Architect multi-agent workflows
- →Set up AI observability
About ai-ml
Provides an end-to-end framework for AI development, from initial architecture design and model selection to RAG implementation and AI observability setup.
AI and machine learning workflow covering LLM application development, RAG implementation, agent architecture, ML pipelines, and AI-powered features.
When not to use it
- →When the user needs general application development
- →When the user needs database management
- →When the user needs cloud infrastructure setup
Limitations
- →It is a workflow bundle that orchestrates other skills.
- →It requires defining AI use cases and choosing appropriate models.
- →It involves setting up API access and configuring model parameters.
How it compares
This workflow provides a complete, phased approach to AI/ML development, integrating multiple specialized skills, unlike addressing individual AI components in isolation.
Compared to similar skills
ai-ml side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| ai-ml (this skill) | 0 | 7mo | No flags | Advanced |
| langchain | 26 | 10mo | Review | Intermediate |
| senior-ml-engineer | 6 | 9mo | Review | Advanced |
| dspy | 4 | 8mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
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