experiment-tracking
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
发现 测试与安全 相关 Skills,比较来源仓库和用途,查看适合你工作流的技能说明。
Use when "experiment tracking", "MLflow", "Weights & Biases", "wandb", "model registry", "hyperparameter logging", "ML experiments", "training metrics"
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for...
Use when "codex", "use gpt", "gpt-5", "openai codex", "let openai", "full-auto", "autonomous code generation"
Use when "RICE prioritization", "feature prioritization", "PRD writing", "user stories", or asking about "product roadmap", "customer interviews", "sprint planning", "backlog grooming"
Use when about to claim work is complete, fixed, or passing, before committing or creating PRs - requires running verification commands and confirming output before making any success claims; evidence before as...
Use when "SHAP", "Shapley values", "feature importance", "model explainability", or asking about "explain predictions", "interpretable ML", "feature attribution", "waterfall plot", "beeswarm plot", "model debug...
Use when creating new skills, editing existing skills, or verifying skills work before deployment
Use when "organizing invoices", "sorting receipts", "tax preparation", "expense tracking", or asking about "invoice renaming", "financial documents", "bookkeeping automation"
Use when designing multi-agent systems, implementing supervisor patterns, coordinating multiple agents, or asking about "multi-agent", "supervisor pattern", "swarm", "agent handoffs", "orchestration", "parallel...
Use when facing 2+ independent tasks that can be worked on without shared state or sequential dependencies
Generates creative domain name ideas for your project and checks availability across multiple TLDs (.com, .io, .dev, .ai, etc.). Saves hours of brainstorming and manual checking.
This skill should be used when the user asks about "Python best practices", "Pythonic code", "Python patterns", "Python idioms", "type hints", "dataclasses", "async Python", "Python decorators", "context manage...
Use when "deploying ML models", "MLOps", "model serving", "feature stores", "model monitoring", or asking about "PyTorch deployment", "TensorFlow production", "RAG systems", "LLM integration", "ML infrastructur...
Use when "requirements document", "acceptance criteria", "user stories", "EARS format", "specification", "feature spec", "product requirements"
Use when "writing articles", "blog posts", "content creation", "research writing", "technical writing", or asking about "outlining", "citations", "improving hooks", "writing feedback"
This skill should be used when the user asks to "plan team structure", "determine hiring needs", "design org chart", "calculate compensation", "plan equity allocation", or requests organizational design and hea...
Use when implementing secrets management, using Vault, AWS Secrets Manager, handling credentials in CI/CD, or asking about "secrets", "Vault", "credentials", "secret rotation", "API keys", "external secrets ope...
This skill should be used when the user asks about "FastAPI", "FastAPI routes", "FastAPI dependencies", "Pydantic models", "FastAPI middleware", "API endpoints", "OpenAPI", or mentions FastAPI development.
Use when building "MCP server", "Model Context Protocol", creating "Claude tools", "MCP tools", or asking about "FastMCP", "MCP SDK", "tool development for LLMs", "external API integration for Claude"
Use when "Modal", "serverless GPU", "cloud GPU", "deploy ML model", or asking about "serverless containers", "GPU compute", "batch processing", "scheduled jobs", "autoscaling ML"
Use when implementing distributed tracing, using Jaeger or Tempo, debugging microservices latency, or asking about "tracing", "Jaeger", "OpenTelemetry", "spans", "traces", "observability"
Use when compressing agent context, implementing conversation summarization, reducing token usage in long sessions, or asking about "context compression", "conversation history", "token optimization", "context...
Use when "analyzing meetings", "meeting transcripts", "communication patterns", "speaking habits", or asking about "filler words", "conflict avoidance", "facilitation style"
Use when evaluating LLMs, running benchmarks like MMLU/HumanEval/GSM8K, setting up evaluation pipelines, or asking about "NeMo Evaluator", "LLM benchmarking", "model evaluation", "MMLU", "HumanEval", "GSM8K", "...
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。