Expert DevOps troubleshooter specializing in rapid incident

Expert DevOps troubleshooter specializing in rapid incident

Use when encountering any bug, test failure, or unexpected behavior, before proposing fixes

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Expert performance engineer specializing in modern observability,

Expert performance engineer specializing in modern observability,

Expert performance engineer specializing in modern observability,

Implement structured logging with JSON formats, log levels (DEBUG, INFO, WARN, ERROR), contextual logging, PII handling, and centralized logging. Use for logging, observability, log levels,...

Generates a codebase-context.md file that provides pre-built context for AI agents. This skill analyzes your project structure, patterns, and conventions to create a comprehensive context document...

Debugging tools - console, debugger, network, profiling.

Use when building AI agents with Microsoft Agent Framework (Semantic Kernel + AutoGen unified); when implementing memory or context providers; when threads won't deserialize; when workflow...

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Create a benchmark to measure CODEBASE.md effectiveness. Sets up hooks to run two parallel agents (one with guide, one without) and compare their efficiency. Requires /agentifind to be run first.

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Build complex AI systems with declarative programming, optimize prompts automatically, create modular RAG systems and agents with DSPy - Stanford NLP's framework for systematic LM programming

Build production-ready LLM applications, advanced RAG systems, and

Build production-ready LLM applications, advanced RAG systems, and

Build production-ready LLM applications, advanced RAG systems, and

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