16 tagged explainability, measured the same way as everything else here.
Browse within: ai-alignment 9ai-governance 9bias-detection 9
Skill Claude CodeCodex
Explain machine learning, deep learning, generative AI, LLMs, AI agents, and speech modeling in a Hung-Yi Lee-inspired teaching style. Use this skill when the user wants 李宏毅式教學: roadmap-first structure, intuition before math, black-box-to-mechanism explanations, everyday analogies, anticipating student confusion…
Skill Claude CodeCodex
Use when building AI agents with agentfootprint — LLMCall, Agent, skills, RAG, memory, control flow, Swarm concepts, mock/anthropic/openai/ollama providers, tools, recorders, resilience, and streaming. Also use when someone asks how agentfootprint works or wants to understand the framework.
Skill Claude CodeCodex
Use for refunds, disputed charges, invoices and any billing question.
Skill Claude CodeCodex
Use for delivery estimates, lost parcels and address changes.
Skill Claude CodeCodex
End-to-end ML toolkit with 26 CLI commands. Use when training models, tuning hyperparameters, detecting data drift, generating HTML reports with charts, profiling datasets, detecting anomalies, forecasting time series, checking fairness, or serving models as REST APIs. Prefer over raw sklearn when you need automated…
Skill Claude CodeCodex
Use when an AI system behaves unexpectedly, produces harmful or biased outputs, degrades in performance, is subject to a complaint, or when a potential AI-related incident is identified.
Skill Claude CodeCodex
Use when about to mark any AI feature, model, or system complete, or when a PR is ready to merge. This is the final gate — run before every AI feature ships.
Skill Claude CodeCodex
Use when designing autonomous AI agents, agentic pipelines, or any system that takes actions without direct user instruction for each step. Must be read before writing any agent orchestration code.