Data & Analytics

dojogenesis Skill

Use when defining product KPIs, building metric dashboards, running cohort or retention analysis, or interpreting feature adoption trends across product stages.

hk-hub Bundle

Open, create, read, analyze, edit, or validate Excel/spreadsheet files (.xlsx, .xlsm, .csv, .tsv). Use when the user asks to create, build, modify, analyze, read, validate, or format any Excel spreadsheet, financial model, pivot table, or tabular data file. Covers: creating new xlsx from scratch, reading and analyzing existing files, editing existing xlsx with zero format loss, formula recalculation and validation, and applying professional financial formatting standards. Triggers on 'spreadsheet', 'Excel', '.xlsx', '.csv', 'pivot table', 'financial model', 'formula', or any request to produce tabular data in Excel format.

2233admin Bundle

This skill should be used when the user asks to "make a video ad", "create an animated ad", "build a performance/UGC-style ad", "batch-produce ad creative variations", "generate ad variants for A/B testing", "swap headline/offer/CTA across many ad versions", or "export one ad in multiple aspect ratios for Meta/TikTok/Reels". Covers ad hook structures, hook→CTA message-match, data-driven variant generation (1 template × CSV = N ads), multi-aspect export, and platform specs.

2233admin Bundle

This skill should be used when the user asks to "make a fake text message video", "animate an iMessage conversation", "create a text story video", "do a chat reply animation", "WhatsApp/SMS conversation video", "typing indicator animation", "render a chat thread to a video", or "batch text-message videos from a script/CSV". Covers sent/received bubble layout, staggered appear timing with typing indicators, read receipts/timestamps, per-message pop sound-sync, 9:16 safe-area, and data-driven render from a messages array.

markus41 Skill

Design embedded analytics integration specifications for embedding Power BI dashboards in SharePoint pages, Power Apps, Teams tabs, and custom web portals.

markus41 Skill

Design ETL transformation rules for field mapping, data cleansing, and format conversion to move data from source to destination systems with different data structures.

netvar1337 Bundle

sqlmap 高级用法完整参考。当确认存在 SQL 注入需要用 sqlmap 自动化利用时使用。覆盖 POST/Cookie/Header 注入、tamper 脚本选择、--technique 精确控制、二次注入、OS shell/文件读写、数据库提取优化

netvar1337 Skill

PHP 审计漏洞链组装方法论。当已完成各分类漏洞审计、需要评估多个漏洞组合利用的可行性时触发。 覆盖: 文件写入→文件包含→RCE 链、反序列化→敏感操作链、SQL 注入→文件写入链、 SSRF→内部服务链、信息泄露→权限提升链。同时包含 Composer 依赖 CVE 扫描方法。

netvar1337 Bundle

单目标 Web 深度漏洞扫描策略。当已知目标 URL、需要对一个 Web 应用进行深度漏洞测试时使用。与 recon-full（资产发现）不同——本技能假设目标已确定，聚焦漏洞层面的深度测试。覆盖指纹驱动的扫描策略选择、自动化+手动测试结合、漏洞优先级排序。优先发现 RCE、SQL注入等高危漏洞

netvar1337 Bundle

LDAP 注入检测与利用。当目标有 LDAP 认证入口（企业登录/SSO/统一认证）、发现 389/636/3268/3269 端口、URL 参数中出现 uid/cn/ou/dc 等 LDAP 属性名、或后端使用 LDAP 进行用户查询时使用。LDAP 注入与 SQL 注入思路类似但语法不同——通过注入 LDAP 搜索过滤器操作符来绕过认证或提取数据。在域环境和企业内网中常见，与 AD 域攻击配合可以获取域用户凭据。发现任何 LDAP 相关入口、Active Directory 集成认证、或 LDAP 查询参数时都应使用此 skill

netvar1337 Bundle

JWT Token 攻击方法论。当响应头/Cookie 中出现 eyJ 开头的字符串（三段式 base64，Header.Payload.Signature）、Authorization: Bearer token、API 返回 token/access_token 字段时使用。包含 alg:none 绕过、弱密钥爆破（hashcat/john/c-jwt-cracker/jwt_tool 完整工具链）、Claims 篡改提权、RS256->HS256 算法混淆、kid 注入（SQL/路径穿越/命令注入）、jku/x5u 替换。注意：非 JWT 的 Cookie 分析请使用 cookie-analysis

netvar1337 Bundle

威胁猎杀原理与规避方法论。理解蓝队如何主动猎杀（Hypothesis-driven / IOC-driven / Analytics-driven），红队如何设计行为使自己不被猎杀到。当需要评估自身操作是否可被威胁猎杀发现时使用

netvar1337 Skill

Web 与 AI 跨域攻击链方法论。当目标系统同时包含传统 Web 应用和 AI/LLM 组件、 需要评估 Web 漏洞对 AI 系统的影响或 AI 漏洞对 Web 系统的影响时触发。 覆盖双向攻击链: Web→AI(XSS 窃取对话/SSRF 调用模型 API/SQLi 污染 RAG/文件上传 RAG 投毒) 和 AI→Web(注入生成存储型 XSS/Agent 执行 SQL 命令/工具读取敏感文件/沙箱逃逸 RCE)。

netvar1337 Bundle

SQL Server 渗透测试与利用。当发现目标开放 1433 端口、SQL Server 允许远程连接（SA 弱口令）、需要从数据库提取数据或实现命令执行时使用。覆盖未授权访问、数据库枚举与导出、xp_cmdshell 命令执行、sp_OACreate COM 对象利用、BULK INSERT 文件读取、Linked Server 横向移动、SQL Agent Job 持久化、存储过程利用、用户创建与提权

netvar1337 Bundle

PostgreSQL 渗透测试与利用。当发现目标开放 5432 端口、PostgreSQL 允许远程连接、需要从数据库提取数据或实现命令执行时使用。覆盖未授权访问、数据库枚举与导出、用户凭据提取（pg_authid 哈希）、SQL 注入变体、文件读取（pg_read_file/COPY）、命令执行（COPY TO PROGRAM）、权限提升（SUPERUSER）、Large Object 滥用、扩展利用（file_fdw/plpython）

netvar1337 Bundle

SQL注入检测、利用、绕过的完整方法论。当目标有表单提交、登录页面、搜索功能、数据查询接口时使用。包含POST参数完整性检查、EXTRACTVALUE截断陷阱、UNION/报错/盲注/sqlmap全流程

netvar1337 Bundle

XML外部实体注入(XXE)的检测与利用方法论。当目标有 XML 解析、SOAP API、文件上传（DOCX/XLSX/SVG）、或任何接受 XML 输入的端点时使用。包含基础文件读取、盲 XXE 外带（参数实体+外部DTD）、SVG/DOCX XXE、SOAP Envelope XXE、JSON→XML 转换攻击。即使 API 文档说只接受 JSON，也应尝试 XML Content-Type 测试隐式 XXE。

26zl Bundle

Parse Apache and Nginx access logs to detect SQL injection attempts, local file inclusion, directory traversal, web scanner fingerprints, and brute-force patterns. Uses regex-based pattern matching against OWASP attack signatures, GeoIP enrichment for source attribution, and statistical anomaly detection for request frequency and response size outliers.

26zl Bundle

Build network traffic baselines from NetFlow/IPFIX data using Python pandas for statistical analysis, z-score anomaly detection, and hourly/daily traffic pattern profiling

26zl Bundle

Investigates insider threat indicators including data exfiltration attempts, unauthorized access patterns, policy violations, and pre-departure behaviors using SIEM analytics, DLP alerts, and HR data correlation. Use when SOC teams receive insider threat referrals from HR, detect anomalous data movement by employees, or need to build investigation timelines for potential insider threats.

26zl Bundle

Investigates insider threat incidents involving employees, contractors, or trusted partners who misuse authorized access to steal data, sabotage systems, or violate security policies. Combines digital forensics, user behavior analytics, and HR/legal coordination to build an evidence-based case. Activates for requests involving insider threat investigation, employee data theft, privilege misuse, user behavior anomaly, or internal threat detection.

26zl Bundle

Tests APIs for injection vulnerabilities including SQL injection, NoSQL injection, OS command injection, LDAP injection, and Server-Side Request Forgery (SSRF) through API parameters, headers, and request bodies. The tester crafts malicious payloads targeting different backend technologies and injection contexts to extract data, execute commands, or access internal services. Maps to OWASP API8:2023 Security Misconfiguration and API7:2023 SSRF. Activates for requests involving API injection testing, SQLi in APIs, NoSQL injection, SSRF testing, or API input validation assessment.

26zl Bundle

Identifies and exploits SQL injection vulnerabilities in web applications during authorized penetration tests using manual techniques and automated tools like sqlmap. The tester detects injection points through error-based, union-based, blind boolean, and time-based blind techniques across all major database engines (MySQL, PostgreSQL, MSSQL, Oracle) to demonstrate data extraction, authentication bypass, and potential remote code execution. Activates for requests involving SQL injection testing, SQLi exploitation, database security assessment, or injection vulnerability verification.

26zl Bundle

Deploys and configures osquery for real-time endpoint monitoring using SQL-based queries to inspect running processes, open ports, installed software, and system configuration. Use when building visibility into endpoint state, threat hunting across fleet, or implementing compliance monitoring. Activates for requests involving osquery deployment, endpoint visibility, fleet management, or SQL-based endpoint querying.

26zl Bundle

Implements SIEM detection use cases by designing correlation rules, threshold alerts, and behavioral analytics mapped to MITRE ATT&CK techniques across Splunk, Elastic, and Sentinel. Use when SOC teams need to expand detection coverage, formalize use case lifecycle management, or build a detection library aligned to organizational threat profile.

26zl Bundle

Bypass Web Application Firewall protections using encoding techniques, HTTP method manipulation, parameter pollution, and payload obfuscation to deliver SQL injection, XSS, and other attack payloads past WAF detection rules.

26zl Bundle

This skill covers hardening and securing process historian servers (OSIsoft PI, Honeywell PHD, GE Proficy, AVEVA Historian) in OT environments. It addresses network placement across Purdue levels, access control for historian interfaces, data replication through DMZ using data diodes or PI-to-PI connectors, SQL injection prevention in historian queries, and integrity protection of process data used for safety analysis, regulatory reporting, and process optimization.

eturkes Bundle

Distributed computing for larger-than-RAM pandas/NumPy workflows. Use when you need to scale existing pandas/NumPy code beyond memory or across clusters. Best for parallel file processing, distributed ML, integration with existing pandas code. For out-of-core analytics on single machine use vaex; for in-memory speed use polars.

eturkes Bundle

Use this skill for processing and analyzing large tabular datasets (billions of rows) that exceed available RAM. Vaex excels at out-of-core DataFrame operations, lazy evaluation, fast aggregations, efficient visualization of big data, and machine learning on large datasets. Apply when users need to work with large CSV/HDF5/Arrow/Parquet files, perform fast statistics on massive datasets, create visualizations of big data, or build ML pipelines that do not fit in memory.

eturkes Bundle

Parse FCS (Flow Cytometry Standard) files v2.0-3.1. Extract events as NumPy arrays, read metadata/channels, convert to CSV/DataFrame, for flow cytometry data preprocessing.

eturkes Bundle

High-performance DataFrame library for Python ETL, analytics, and pandas migration. Use for expression-based data manipulation with lazy query optimization, parallel execution, streaming out-of-core processing, Arrow interoperability, and optional GPU execution.

eturkes Bundle

Statistical visualization with pandas integration. Use for quick exploration of distributions, relationships, and categorical comparisons with attractive defaults. Best for box plots, violin plots, pair plots, heatmaps. Built on matplotlib. For interactive plots use plotly; for publication styling use scientific-visualization.

eturkes Bundle

All-in-one web toolkit powered by parallel-cli, with a strong emphasis on academic and scientific sources. Use this skill whenever the user needs to search the web, fetch/extract URL content, enrich data with web-sourced fields, or run deep research reports. Covers: web search (fast lookups, research, current info — prioritizing peer-reviewed papers, preprints, and scholarly databases), URL extraction (fetching pages, articles, academic PDFs), bulk data enrichment (adding fields to CSV/lists from the web), and deep research (exhaustive multi-source reports grounded in academic literature). Also handles setup, status checks, and result retrieval. Use this skill for ANY web-related task — even if the user doesn't mention 'parallel' or 'web' explicitly. If they want to look something up, fetch a page, enrich a dataset, investigate a topic, find academic papers, check citations, or review scientific literature, this is the skill to use.

eturkes Bundle

PyTorch Geometric (PyG) for graph neural networks — node/link/graph classification, message passing (GCN, GAT, GraphSAGE, GIN), heterogeneous graphs, neighbor sampling, and custom datasets. Use when working with torch_geometric, not for general NetworkX analytics or non-graph PyTorch models.

eturkes Bundle

Benchling Python SDK and REST API integration for registry entities, inventory, ELN entries, workflows, Benchling Apps, and Data Warehouse queries. Use when automating lab data with benchling-sdk or the v2 API.

williamcorrea23 Skill

Help with modern ABAP SQL features and AMDP (ABAP Managed Database Procedures) including inline declarations, window functions, GROUP BY, HAVING, PRIVILEGED ACCESS, string functions, aggregate expressions, common table expressions (CTE), AMDP classes, AMDP procedures, AMDP table functions, CDS table functions, and AMDP scalar functions. Use when users ask about ABAP SQL, modern SQL, SELECT, window functions, CTE, common table expression, AMDP, SQLScript, AMDP table function, CDS table function, aggregate, GROUP BY, HAVING, UNION, INTERSECT, EXCEPT, PRIVILEGED ACCESS, ABAP SQL expressions, built-in SQL functions, or database procedures. Triggers include "ABAP SQL query", "window function", "CTE", "AMDP", "table function", "GROUP BY", "aggregate", "PRIVILEGED ACCESS", "inline SELECT", or "SQLScript".