Install one, then just prompt in plain English. The FLOW.md fires the right skill at the right moment. No re-orchestration, no babysitting.
Skills that guide AI coding agents to help you build LLM evaluations. These skills guard against common mistakes I've seen helping 50+ companies and teaching students in our AI Evals course.
@hamelsmuView PluginBuild a custom browser-based annotation interface tailored to your data for reviewing LLM traces and collecting structured feedback. Use when you need to build…
@hamelsmuView SkillHelp the user systematically identify and categorize failure modes in an LLM pipeline by reading traces. Use when starting a new eval project, after…
@hamelsmuView SkillAudit an LLM eval pipeline and surface problems: missing error analysis, unvalidated judges, vanity metrics, etc. Use when inheriting an eval system, when…
@hamelsmuView SkillGuides evaluation of RAG pipeline retrieval and generation quality. Use when evaluating a retrieval-augmented generation system, measuring retrieval quality,…
@hamelsmuView SkillCreate diverse synthetic test inputs for LLM pipeline evaluation using dimension-based tuple generation. Use when bootstrapping an eval dataset, when real user…
@hamelsmuView SkillCalibrate an LLM judge against human labels using data splits, TPR/TNR, and bias correction. Use after writing a judge prompt (write-judge-prompt) when you…
@hamelsmuView Skill© 2026 Flowy · Free and open source
Built for Claude Code · Not affiliated with Anthropic
