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hoanghd218

Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability analy

hotriluan

[CK] Research technical solutions, analyze architectures, gather requirements thoroughly. Use for technology evaluation, best practices research, solution design, scalability/security/maintainability

niznik-dev

Generate visualizations from completed experiment evaluations using inspect-viz. Use after run-experiment to create interactive HTML plots from inspect-ai evaluation logs.

drillan

MixSeek Agent Skills collection for AI coding assistants. Provides workspace management, team configuration, evaluation setup, and debugging tools for MixSeek-Core.

T-rav

Use when auditing Claude skills and commands for quality. Supports Quick Scan (changed skills only) and Full Stocktake modes with sequential subagent batch evaluation.

Jeffallan

Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured

Aidbox

ai-review is a skill that enables critical review of code against specific criteria, including completeness and code style compliance.

toplyr-narfur

Expert Nock interpreter builder for implementing virtual machines in C, Python, Rust, Haskell, or JavaScript. Use when building Nock interpreters, porting between languages, implementing evaluation lo

VjayRam

Builds and optimizes DSPy (dspy) programs end-to-end: signatures, modules, compilation/optimization, evaluation, and debugging. Use when the user mentions dspy/DSPy, Signature, Module, teleprompter/op

avivsinai

Debug AI traces, find exceptions, analyze sessions, and manage prompts via Langfuse MCP. Use when debugging AI pipelines, investigating errors, analyzing latency, managing prompt versions, or setting

ijindal1

Write, critique, and iterate prompts for OpenAI GPT-5 series models. Use for tasks like: (1) turning vague requirements into high-signal instructions, (2) selecting between quick vs deep reasoning beh