Data & Analytics

Find and identify the CBaseTrigger_PassesTriggerFilters virtual function in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or server.so to locate the PassesTriggerFilters function by first finding CBaseTrigger_StartTouch and extracting the first virtual call offset from its decompiled code.

Survey weight calibration to match population targets - used in policyengine-us-data for enhanced microdata

Find and identify the CBaseEntity_IsPlayerPawn and CBaseEntity_IsPlayerController virtual functions in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or server.so to locate both vfuncs by decompiling ShowHudHint, following its first callee, and extracting the vtable offsets for IsPlayerPawn and IsPlayerController.

Find and identify the CBaseTrigger_PassesTriggerFilters virtual function in CS2 binary using IDA Pro MCP. Use this skill when reverse engineering CS2 server.dll or server.so to locate the PassesTriggerFilters function by first finding CBaseTrigger_StartTouch and extracting the first virtual call offset from its decompiled code.

`preprocess_func_sig_via_mcp` 是 `ida_analyze_util.py` 中函数类输出的核心预处理入口。它优先复用旧版 `func_sig` 在新二进制中定位函数；当旧 YAML 没有 `func_sig` 时，退化到 `vfunc_sig + vtable 元数据` 路径，并尽可能自动再生成新的 `func_sig`。

Proven patterns for analyzing traces at scale, finding insights, and debugging issues. > Compatibility note: LangSmith run fields are top-level (`status`, `start_time`, `total_tokens`, `prompt_tokens`, `latency`). Some local export workflows also include a normalized `messages` array; snippets below use it when present.

AKS monitoring operates on a multi-layered architecture with five primary data sources:

marimo integrates with major plotting libraries and provides reactive chart components for interactive data selection.

Access command-line arguments when running notebooks as scripts.

Extended workflow examples demonstrating how to combine multiple gget modules for common bioinformatics tasks.

This document provides detailed examples of common mass spectrometry analysis workflows using matchms.

This document covers common workflows, best practices, and advanced usage patterns for scvi-tools.

This document describes detailed multi-step workflows for common bioinformatics tasks using BioServices.

This document provides detailed step-by-step workflows for common PyDESeq2 analysis patterns.

The WCS module manages transformations between pixel coordinates in images and world coordinates (e.g., celestial coordinates).

This document covers tools and methodologies for visualizing chunking strategies and evaluating their effectiveness.

This reference covers Vaex's visualization capabilities for creating plots, heatmaps, and interactive visualizations of large datasets.

Qiskit provides comprehensive visualization tools for quantum circuits, measurement results, and quantum states.

```python import networkx as nx import matplotlib.pyplot as plt

GeoPandas provides plotting through matplotlib integration.

Create visual progress updates - charts, before/after comparisons, metrics over time

Create visual progress updates - charts, before/after comparisons, metrics...

Analyze market sentiment from social media, news, and on-chain metrics

Analyze market sentiment from social media, news, and on-chain metrics