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“raci”的搜索结果

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Add DeepEval tracing to Python AI applications so execution steps appear in Confident AI. Choose a supported integration or manual @observe instrumentation, then capture inputs, outputs, step types, tags, and metadata.

中文简介正在准备中。当前显示英语简介。

  • Trace execution steps in a Python AI application
  • Select tracing integrations for an existing framework
  • Add manual tracing with @observe
confident-ai/deepeval1.9万2026年10月19日 更新

Set up distributed tracing in KubeSphere to follow requests across services. Covers extension installation, trace collection, automatic application instrumentation, and API queries for traces, individual processing steps, and service connections.

中文简介正在准备中。当前显示英语简介。

  • Set up distributed tracing in KubeSphere
  • Configure automatic application instrumentation
  • Query traces and service connections through the API
kubesphere/kubesphere1.7万2026年7月15日 更新

Add OpenTelemetry tracing to MATLAB code. Use when the user asks to "add tracing", "instrument with spans", "add OpenTelemetry", "trace my code", "add observability" (when about tracing), or mentions "spans", "distributed tracing", or "OTel tracing" in the context of MATLAB functions. Covers span creation, parent-child context propagation, error handling, attributes, events, and semantic conventions.

中文简介正在准备中。当前显示原文说明。

matlab/matlab-agentic-toolkit11852026年10月14日 更新

Use when you need to implement or improve distributed tracing with OpenTelemetry in Java — including trace/span modeling, context propagation, semantic conventions, span attributes/events/status, sampling strategy, baggage usage, privacy safeguards, and backend integration with OTLP collectors. This should trigger for requests such as Improve tracing; Apply OpenTelemetry tracing; Add distributed tracing; Refactor tracing instrumentation; Instrument Java services with OpenTelemetry spans. Part of Plinth Toolkit

中文简介正在准备中。当前显示原文说明。

jabrena/plinth4542026年10月19日 更新

Add Arize AX tracing to an LLM application, recording how model calls and tool executions connect. Inspect the existing code, select suitable integrations, add instrumentation, and verify that the application runs and traces reach Arize.

中文简介正在准备中。当前显示英语简介。

  • Setting up tracing for an LLM application
  • Recording tool inputs and outputs in an agent
  • Adding Arize export to an existing OpenTelemetry setup
github/awesome-copilot4万2026年10月20日 更新

Use this skill when building, reviewing, or refreshing a RACI (Responsible / Accountable / Consulted / Informed) matrix for a Salesforce project so that every Salesforce-specific decision — data model change, automation tier choice, security model, integration boundary, deployment, license/edition — has exactly one accountable owner and a documented escalation path that downstream agents can route to. Trigger keywords: RACI matrix salesforce project, stakeholder authority salesforce, escalation path salesforce decisions, who approves data model change, salesforce decision rights, REFUSAL_NEEDS_HUMAN_REVIEW routing. NOT for the change advisory board operating model itself (use admin/change-management-and-deployment). NOT for end-user training rollout plans (use admin/change-management-and-training). NOT for the technical mechanics of permission set assignment authority (use admin/permission-set-architecture). NOT for pure stakeholder requirements elicitation (use admin/requirements-gathering-for-sf). More trigger keywords: who approves a sandbox refresh, who signs off a data load, release update activation owner, delegated admin authority vs RACI, multi-org decision rights, escalation time-box.

中文简介正在准备中。当前显示原文说明。

PranavNagrecha/AwesomeSalesforceSkills192026年10月20日 更新

Set up distributed tracing with Jaeger and Tempo to follow requests across services. Examine delays, service dependencies, and error propagation, with guidance on sampling, linking logs to traces, and troubleshooting missing trace data.

中文简介正在准备中。当前显示英语简介。

  • Investigating slow requests across services
  • Understanding service dependencies
  • Tracing how errors spread
wshobson/agents4.1万2026年10月20日 更新

Set up Phoenix tracing for LLM applications in Python or TypeScript. The skill guides automatic and custom recording of individual operations, conversation grouping, metadata, feedback, and production settings such as batching and personal data masking.

中文简介正在准备中。当前显示英语简介。

  • Set up tracing for an LLM application
  • Record document retrieval and tool calls
  • Group conversation traces by session
github/awesome-copilot4万2026年10月20日 更新

Turn descriptions and existing notes into a standard operating procedure, a document explaining how work gets done. Capture process flow, responsibilities, detailed steps, exceptions, and metrics so teams can use it for handoffs or audits.

中文简介正在准备中。当前显示英语简介。

  • Documenting a process known only to one person
  • Clarifying who performs and owns each step
  • Preparing procedures for handoffs or audits
anthropics/knowledge-work-plugins3.1万2026年10月19日 更新

deepeval

免费

Build repeatable DeepEval tests for AI agents, chatbots, and applications that retrieve documents to answer questions. Reuse or generate evaluation datasets, inspect failures, and improve prompts, tools, or retrieval through repeated evaluation runs.

中文简介正在准备中。当前显示英语简介。

  • Add repeatable quality tests for an AI agent
  • Evaluate chatbot behavior across multiple conversation turns
  • Generate evaluation datasets from documentation
confident-ai/deepeval1.9万2026年10月19日 更新

Investigate bugs in a running local application using service logs, traces that follow requests across services, and a shared browser. Connect frontend actions to backend activity, inspect failures, and verify that tracing records appear as expected.

中文简介正在准备中。当前显示英语简介。

  • Investigating bugs in a running local service
  • Following a request across multiple services
  • Reproducing frontend issues in a shared browser
macro-inc/macro47722026年10月20日 更新

Expert blueprint for racing games including vehicle physics (VehicleBody3D, suspension, friction), checkpoint systems (prevent shortcuts), rubber-banding AI (keep races competitive), drifting mechanics (reduce friction, boost on exit), camera feel (FOV increase with speed, motion blur), and UI (speedometer, lap timer, minimap). Use for arcade racers, kart racing, or realistic sims. Trigger keywords: racing_game, vehicle_physics, checkpoint_system, rubber_banding, drifting_mechanics, camera_feel.

中文简介正在准备中。当前显示原文说明。

thedivergentai/Game-Dev-Agentic-Skills8702026年10月17日 更新

Expert blueprint for racing games including vehicle physics (VehicleBody3D, suspension, friction), checkpoint systems (prevent shortcuts), rubber-banding AI (keep races competitive), drifting mechanics (reduce friction, boost on exit), camera feel (FOV increase with speed, motion blur), and UI (speedometer, lap timer, minimap). Use for arcade racers, kart racing, or realistic sims. Trigger keywords: racing_game, vehicle_physics, checkpoint_system, rubber_banding, drifting_mechanics, camera_feel.

中文简介正在准备中。当前显示原文说明。

thedivergentai/Game-Design-Agentic-Skills8502026年10月13日 更新

Instrument applications with OpenTelemetry for distributed tracing, including auto and manual instrumentation, context propagation, sampling strategies, and integration with Jaeger or Tempo. Use when debugging latency issues in distributed systems, understanding request flow across microservices, correlating traces with logs and metrics for root cause analysis, measuring end-to-end latency, or migrating from legacy tracing systems to OpenTelemetry.

中文简介正在准备中。当前显示原文说明。

pjt222/agent-almanac422026年10月15日 更新

Revisa una migración de base de datos antes de desplegarla para asegurar que sea segura — reversible, no destructiva y compatible hacia atrás — siguiendo las convenciones de base de datos del proyecto. Úsala siempre que crees, revises o apruebes una migración de esquema o de datos (p. ej. "revisa esta migración", "¿es seguro desplegar esta migración?").

中文简介正在准备中。当前显示原文说明。

brayandiazc/project-starter-template-es-ai152026年9月23日 更新

Use this skill when controls have no clear owner, or "security" owns everything, and the team asks "who owns each control", "build a RACI for our controls", "assign control owners", "nobody knows who runs the access review", "set a review cadence per control" or "the auditor asked who is accountable". Assigns one accountable role and the operators to every applicable control, checks workload and segregation of duties, sets a review cadence from how each control runs, and writes a RACI table plus a one-page brief per owner role.

中文简介正在准备中。当前显示原文说明。

better-isms/grcskills102026年10月20日 更新

Designs and analyzes stable-isotope-resolved metabolomics (SIRM / isotope tracing / fluxomics) experiments that measure metabolic ACTIVITY via 13C/15N/2H tracers, distinct from steady-state pool profiling. Covers tracer choice, isotopologue vs isotopomer, mass-isotopomer distributions (MID), fractional enrichment, the mandatory natural-abundance + tracer-purity correction (IsoCor, AccuCor), and the metabolic/isotopic steady-state vs non-stationary (INST-MFA) distinction. Use when feeding a labeled tracer and interpreting labeling patterns, correcting raw isotopologue intensities, computing or plotting an MID, or deciding tracing vs abundance profiling. For absolute pool concentration and MRM mechanics see metabolomics/targeted-analysis; for constraint-based genome-scale flux (FBA, not empirical tracing) see systems-biology/flux-balance-analysis; for feature detection see metabolomics/xcms-preprocessing; for pathway enrichment that ignores the pool-vs-flux caveat see metabolomics/pathway-mapping.

中文简介正在准备中。当前显示原文说明。

huang-sh/DeepScience42026年7月15日 更新

Implementing distributed tracing with W3C Trace Context — the byte-precise `traceparent` and `tracestate` header formats, OpenTelemetry's W3CTraceContextPropagator as the modern default (replacing X-B3-* and X-Datadog-*), head vs tail sampling, and HTTP→SQL trace propagation via sqlcommenter. Grounded in the W3C REC and OpenTelemetry specs. NOT for OTel metrics/logs pipelines, vendor backend setup (Datadog/Honeycomb/Jaeger/Tempo), or browser RUM tracing.

中文简介正在准备中。当前显示原文说明。

curiositech/port-daddy32026年10月19日 更新

honeycomb-tracing

免费有简介AI 评分 90分

利用 Honeycomb 的处理记录调查 Paperclip 运行、页面显示和 CI 的延迟,区分重叠区间与等待时间,整理耗时环节,并处理计量配置和缺失计量的补充。

  • 调查代理执行前后的延迟
  • 调查任务页面显示缓慢的原因
  • 找出拖慢整个 CI 的作业
paperclipai/paperclip10.5万2026年10月19日 更新

Estimate intracellular reaction rates from steady-state carbon-13 tracing measurements. Validate carbon atom mappings and measurement inputs, simulate labeling, fit constrained fluxes, and diagnose which pathway rates the data can meaningfully constrain.

中文简介正在准备中。当前显示英语简介。

  • Estimate metabolic fluxes from carbon-13 labeling
  • Validate atom mappings and measurement inputs
  • Simulate labeling for proposed reaction rates
K-Dense-AI/scientific-agent-skills5.3万2026年10月19日 更新

Build and debug asynchronous Rust applications with Tokio, a runtime for scheduling work while operations wait. Apply patterns for task management, channels, error handling, cancellation, and concurrency limits when developing network services and other concurrent systems.

中文简介正在准备中。当前显示英语简介。

  • Build asynchronous network services
  • Manage tasks and channel communication
  • Design error handling and cancellation
wshobson/agents4.1万2026年10月20日 更新

Launch an SGLang server, run a quick accuracy check, and capture an execution trace for performance inspection. Return the trace location and generated files, ready to open in Perfetto or Chrome tracing.

中文简介正在准备中。当前显示英语简介。

  • Capture an execution trace of SGLang inference
  • Check basic accuracy before profiling
  • Record input processing and token generation separately
sgl-project/sglang3.7万2026年10月20日 更新

Create reusable procedures for responding to security incidents, from detection and containment to recovery. Define decision points, responsibilities, escalation rules, and workflows for security automation platforms so teams can follow a consistent response process.

中文简介正在准备中。当前显示英语简介。

  • Establishing an incident response program
  • Documenting phishing or ransomware response procedures
  • Designing automated security response workflows
mukul975/Anthropic-Cybersecurity-Skills3.5万2026年8月31日 更新

Use LangSmith to record LLM application inputs, outputs, and timing, investigate failures, evaluate answers against test datasets, and monitor production usage. It also guides automated quality checks and analysis of token usage and costs.

中文简介正在准备中。当前显示英语简介。

  • Investigating failures in LLM applications
  • Evaluating answers against test datasets
  • Monitoring production latency and costs
davila7/claude-code-templates3.3万2026年10月20日 更新