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davidbirchall/squad-skills-ai-engineering

v0.2.0

AI engineering skills for LLM-powered applications and agent systems: LLM integration, prompt engineering, agent design and orchestration, tool and MCP integration, context engineering, retrieval-augmented generation, evaluation, testing, security, and observability.

prompt-engineering

Prompt engineering for a TypeScript chat and agent backend - prompt structure, system vs user vs tool roles, instructions and constraints, few-shot examples, output contracts and format specs, delimiting untrusted input, prompt templates, versioning prompts as code, change review, regression-tested prompt changes, and common failure fixes. Load when writing or editing system prompts, designing output formats, adding examples, templating prompts, or changing a prompt that already ships.

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