Results for “csm”

Create MCP servers using the C# SDK and .NET project templates, covering scaffolding, tool/prompt/resource implementation, and transport configuration for stdio and HTTP.

Migrate .NET projects from per-project package versioning to NuGet Central Package Management (CPM) using Directory.Packages.props, with baseline build capture, version conflict resolution, and post-conversion validation.

Run a structured churn-save play for an at-risk account to diagnose root cause and reverse the decision.

Computerized maintenance management system

Ensure C# types are documented with XML comments following best practices for summaries, parameters, returns, and exceptions.

Migrates AEM Cloud Service code from legacy AssetManager APIs (createAssetForBinary, getAssetForBinary, removeAssetForBinary, client-facing createAsset) to Direct Binary Access or in-JVM resolver patterns, covering IMS authentication and service-user setup.

沈墨（悬疑剧虚构）认知与表达框架（压缩蒸馏）：创伤反杀叙事、时代灰雾、钢琴意象 触发：漫长的季节 等。虚构；禁止犯罪模仿

Use this skill when the user asks about FMCSA Compliance Safety Accountability (CSA) program scoring — the seven BASIC categories, BASIC Severity Indicator (BSI), peer percentiles, intervention thresholds, how violations age out, SMS Methodology, ISS (Inspection Selection System), what "alert" status means, Safety Measurement System mechanics, or DataQ disputes. Cite SMS Methodology v3.20.

Drupal and WordPress specialist for theme development, custom plugins/modules, content architecture, and code-first CMS implementation

Use this skill when a carrier's CSA peer group changes. Covers what triggers reassignment, how percentile changes affect alert status, and how to interpret the shift.

Econometrics skill for Synthetic Control Method (SCM). Activates when the user asks about "synthetic control", "SCM", "placebo test", "synthetic DID", "合成控制", "安慰剂检验", "合成反事实", "合成DID".

Use when using RTMS.

Use when you need to characterize score distributions of a profile HMM on random sequences, such as calibration checks, benchmarking, or filter-behavior experiments.

DCLM: DataComp for Language Models