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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.

streaming-llm-responses

Implement provider-to-server LLM token streaming, event normalisation, partial tool-call arguments, cancellation, persistence, reconnects, resume IDs, ordering, and stream tests. Load when model output arrives incrementally or users need stop, resume, retry, or live tool-call updates.

Read SKILL.md at the source

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