Data & Analytics

ersinkoc Skill

SQL Injection detection across all variants — classic, blind, time-based, second-order, and UNION-based

rweisssieker-xp Skill

TOPdesk Asset Management design, schema, analytics, and workflow support. Use for asset templates, dynamic asset fields, asset relations, owner/branch/location mapping, lifecycle, incident/change links, CMDB-like reporting, asset data quality, and asset KPIs.

rweisssieker-xp Skill

Expert guidance for TOPdesk helpdesk/service-management functionality, the database schema of a custom Topdesk app, Power BI reporting/analytics, and AI/KI features for TOPdesk data and workflows. Use when answering questions about TOPdesk modules, incidents, changes, assets, knowledge base, self-service portal, operators/persons, API behavior, integrations, reporting, OData/database tables, entity relationships, migrations, Power BI dashboards, semantic models, DAX, Power Query, KPI definitions, AI-assisted ticket classification, routing, summaries, response suggestions, knowledge article generation, semantic search, predictive insights, or when designing, querying, documenting, or validating the Topdesk app schema.

rweisssieker-xp Skill

Advanced Python automation for TOPdesk data, APIs, OData, reporting, migration, testing, and delivery tooling. Use for writing, reviewing, hardening, testing, or packaging Python scripts that parse TOPdesk OData metadata, profile CSV/Excel exports, call TOPdesk REST APIs, generate field catalogs, create data-quality findings, build Power BI/reporting artifacts, run migration checks, or provide CLI utilities.

rweisssieker-xp Skill

Advanced PowerShell automation for TOPdesk delivery and operations. Use for writing, reviewing, hardening, testing, or packaging PowerShell scripts that work with TOPdesk APIs, OData exports, CSV/JSON artifacts, tenant mapping, Power BI refresh operations, migration batches, runbooks, Windows scheduled tasks, CI scripts, validation gates, and safe local automation.

rweisssieker-xp Skill

Translate TOPdesk business questions into tenant-safe OData filters, SQL/reporting-view queries, Power Query extraction plans, DAX measure definitions, validation checks, and Power BI report requirements. Use when combining TOPdesk queries with Power BI modelling, KPI semantics, reconciliation, data-quality checks, or report implementation tasks.

rweisssieker-xp Bundle

Tenant-specific TOPdesk field and model mapping. Use for OData metadata, API samples, CSV exports, UI labels, category/status/priority exports, entity inventories, field catalogs, local schema mapping, Power BI fact/dimension mapping, RLS/security mapping, and tenant-specific data-quality gaps.

rweisssieker-xp Bundle

Generate decision-ready TOPdesk findings from analysis CSV files, SLA findings, data-quality findings, process-debt outputs, AI governance rows, or manual finding drafts using a standard evidence, impact, risk, action, owner, and validation metric format.

wonderslife Bundle

MySQL数据库专家提供SQL优化、索引设计和表结构分析服务。当用户需要SQL优化或数据库设计时调用此技能。支持中文触发：SQL优化、数据库设计、索引优化、慢查询分析。

wonderslife Bundle

性能优化专家，提供瓶颈识别、SQL调优、缓存策略设计、压测指导。触发：性能优化、瓶颈定位、JVM调优、压测、慢接口优化、performance optimization。

deagentic Bundle

Use when data models, queries, migrations, schema design, ORM usage, indexing, or storage architecture decisions need review. Invoke for any SQL, NoSQL, time-series, or search database work.

penghang1223 Bundle

DuckDB数据分析工具集 — 内存管理/ClickBench基准/结果导出。$700 MacBook也能跑大数据。

thinkingaiagenticengine Bundle

Inspect Trino metadata, table schemas, query plans, EXPLAIN ANALYZE output, and existing query records through the mcp-trino MCP tools. Use when Codex needs to navigate Trino catalogs or schemas, inspect a table before writing or reviewing SQL, analyze a query plan, diagnose a Trino query ID from query-info, or explain the inspection-only limits and query visibility behavior of mcp-trino.

thinkingaiagenticengine Bundle

Predict internet product user lifetime value (LTV) and lifecycle (LT) from retention and revenue data. Use when the user asks about LTV, user lifetime value, LT, user lifecycle, lifecycle forecast, payback period, retention fitting, retention decay, retention curve, channel quality assessment, per-user or per-cohort value estimation, cohort revenue projection, active days forecast, LTV segmentation — for games, tools, social, e-commerce, or any internet product. Supports both directly provided data and automated ae-cli data retrieval from a TE project, including RFM / pay-tier / VIP stratified LTV. For macro calendar-time total-revenue forecasting and acquisition-budget / DNU-ARPU target-solving, use revenue-forecast-model-cli.

thinkingaiagenticengine Bundle

Write Trino SQL statements based on requirements and system data specifications. Triggered only under the following conditions >> 1. When users need SQL code, such as "help me write a SQL", "generate SQL statement", "how to write this SQL", "give me a query statement". 2. When users need to query a list of players meeting certain conditions or query a player's behavior list, used to generate SQL and then initiate query requests through `ae-cli analysis adhoc run` with `--model-type sql`. 3. If the data users need can be obtained through ae-analysis (such as dashboards, reports), prioritize using the ae-analysis skill to complete the full query execution process, do not use this skill

thinkingaiagenticengine Bundle

Recommend the most suitable AE (AgenticEngine) analysis model from 12 models and generate its configuration. Use when users are unsure which analysis model to choose, ask "which model to use / which one should I choose", ask whether a model fits a scenario (e.g. "can retention analysis do this"), ask which model to use for LTV / ROI / revenue, or want configuration guidance for a chosen model — with precise field mapping when a project is available, or a generic-example configuration for consultation when no project is provided. Do not use for simple data queries, executing a specific investigation, writing SQL/code, or configuring a model whose name is already known (route those to ae-analysis).

thinkingaiagenticengine Bundle

Analyze puzzle IAA game post-launch version data covering retention, levels, monetization, segmentation, and churn. Trigger when reviewing casual/puzzle game retention, level experience, ad placements, user segmentation, or churn attribution. Not for ad-hoc single-metric queries or non-game analytics.

thinkingaiagenticengine Bundle

Identifies slow SQL queries, unreasonable indexes, and inefficient writing patterns, providing actionable rewrite solutions and tuning suggestions based on execution plans and database optimization rules. Special support for Trino SQL optimization, including partition field usage and field naming conventions. Use when users need to optimize slow SQL queries, identify inefficient writing patterns, or get tuning suggestions based on execution plans.

thinkingaiagenticengine Bundle

Diagnoses APP performance issues by automatically matching core performance analysis fields from TE system tables, covering device compatibility, frame rate & lag, page loading, and crash & exceptions analysis, with field matching confirmation, professional report output, and compliant SQL generation. Use when users need to diagnose APP performance issues such as device compatibility problems, frame rate drops or lag, slow page loading, or crash and exception analysis.

thinkingaiagenticengine Bundle

Aligns and explains analytical scope for dashboards, reports, queries, SQL, tags, cohorts, virtual attributes, dimension-table attributes, and related analysis objects. Use when users ask about the scope, definition, or coverage of any of these analysis objects.

thinkingaiagenticengine Bundle

Trigger when a Feishu spreadsheet defines account-to-platform data permissions that must be compared with, added to, or synchronized into one explicitly selected AE/TE project. Resolve accounts and existing access, build a deterministic change plan, preserve project roles, require approval before permission mutations, and verify every result. Do not use for organization-wide access, unspecified projects, arbitrary role changes, or sheets without an unambiguous account and permission mapping.

wecode-ai Bundle

飞书云空间（云盘/云存储）：管理 Drive 文件和文件夹，包含上传/下载、创建文件夹、复制/移动/删除、查看元数据、评论/权限/订阅、标题、版本和本地文件导入。用户需要整理云盘目录、处理云空间资源 URL/token、判断链接类型/真实 token/标题，或导入 Word/Markdown/Excel/CSV/PPTX/.base 为 docx/sheet/bitable/slides 时使用；doubao.com 云空间 URL/token 也按资源路径和 token 路由，不回退 WebFetch。不负责：文档内容编辑（走 lark-doc）、表格/Base 表内数据操作（走 lark-sheets/lark-base）、知识空间节点/成员管理（走 lark-wiki）、原生 Markdown 文件读写/patch/diff（走 lark-markdown）。

wecode-ai Bundle

飞书电子表格：创建和操作电子表格。支持创建表格、管理工作表与行列结构（增删/合并/调整尺寸/隐藏/冻结）、读写单元格（值/公式/样式/批注/单元格图片）、查找替换、多操作原子批量更新，以及图表、透视表、条件格式、筛选器、迷你图、浮动图片等对象的创建与维护。当用户需要创建电子表格、管理工作表、批量读写或编辑数据、统计汇总与可视化、表格美化、公式计算（含 Excel 公式迁移）、金融/财务建模（DCF、三张表、预算、Sensitivity 等）等任务时使用。若用户是想按名称或关键词搜索云空间（云盘/云存储）里的表格文件，请改用 lark-drive 的 drive +search 先定位资源。当用户给出 doubao.com 的 /sheets/ URL/token 时，也应直接使用本 skill，不要因为域名不是飞书而回退到 WebFetch；路由依据是 URL 路径模式和 token，而不是域名。

wecode-ai Bundle

企业微信在线表格（sheet）管理技能。提供在线表格的新建、内容读取、内容修改、追加行数据，以及子工作表的增删管理。适用场景：(1) 新建空白在线表格 (2) 读取表格完整内容（Markdown）(3) 读取基础信息与子表列表 (4) 读取表格子表数据 (5) 修改指定区域内容 (6) 末尾追加一行数据 (7) 添加/删除子工作表。当用户提到「企业微信表格」「企业微信在线表格」「企微 Excel 表格」，或链接形如 `https://doc.weixin.qq.com/sheet/xxx` 时触发该技能。注意：智能表格（`/smartsheet/*`）请用 `wecomcli-smartsheet`；普通文档（`/doc/*`）请用 `wecomcli-doc`；智能文档/智能主页（`/smartpage/*`）请用 `wecomcli-smartpage`。

wecode-ai Bundle

使用本地开源工具创建、检查、编辑、导出、渲染与校验 XLSX 工作簿。适用于根据结构化数据构建可编辑表格、检查公式与工作表几何、修改单元格、将工作表导出为 CSV、添加常用图表，以及对工作簿输出做视觉审阅。

waseemnasir2k26 Bundle

Schedule N already-uploaded GHL videos as a one-per-day, multi-platform drip via a GoHighLevel Social Planner CSV. You give the CDN MP4 links (videos already in GHL Media Library) + a start date + time + captions; this builds a validated 39-column / 2-header-row Social Planner CSV that posts each clip to TikTok + Instagram Reel + YouTube Short + LinkedIn (+ a pinned lead-magnet comment), one video per day. Distilled from batch7 (2026-05-30): 10 reels → 06-01→06-10 @ 7PM ET. Hard-won rules baked in: - Video URL MUST sit in videoUrls (col 6), NOT gifUrl (col 5) — the col-misalignment trap that makes GHL render a clip as a broken GIF. - GHL location timezone must be America/New_York (auto-DST), NOT America/Cancun (fixed GMT-05, 1h off in summer). CSV clock-time = location TZ. - 39 columns, 2 header rows (row1 platform groups, row2 field names). - Validate with .NET TextFieldParser (Import-Csv FAILS — duplicate "type" header). - Always test row 1 in GHL before trusting the full drip. Trigger when user says: "ghl

aivos-xie Bundle

Complete office skills: Word, Excel, PPT, PDF processing with Python libraries and MCP servers

binfen1 Bundle

Pre-landing PR review. Analyzes diff against the base branch for SQL safety, LLM trust boundary violations, conditional side effects, and other structural issues. Use when asked to "review this PR", "code review", "pre-landing review", or "check my diff". Proactively suggest when the user is about to merge or land code changes. (gstack)

aemerson-commits Skill

Verify database schema, KV keys, and env bindings before writing queries or endpoints. Use BEFORE any SQL, KV operations, or config changes. Triggers: 'check schema', 'what columns does X have', or proactively when writing DB/KV code.

bulls-cows Bundle

读取并解析PDF文件内容，提取文本、表格和结构化信息。 用于：用户需要读取PDF文件、提取PDF内容、分析PDF文档结构。 不用于编辑或创建 PDF、合并/拆分 PDF、对扫描型 PDF 做 OCR，也不用于读取 Word、Excel 等其他文档格式。

bulls-cows Bundle

读取并解析 .xlsx 文件内容，提取工作表、表头、单元格文本和表格数据。 用于：用户提供 Excel .xlsx 文件路径并要求读取、汇总或转换表格内容；不用于编辑 Excel、读取 .xls/.csv，或处理需要公式重算、样式还原的场景。

bulls-cows Bundle

创建基于当前技能 `scripts/` 参考工程的 Python 脚本项目骨架，或按同一结构补齐空白/轻量脚本项目。 当用户需要快速落地命令行脚本、CSV/文件处理流水线、可选并发处理或 PyInstaller 打包脚本时触发，不用于 Web 服务、数据科学实验、单文件代码片段或成熟项目重构。

codeatcode Skill

SQLite - embedded database, SQL queries, schema design, Python integration, optimization

codeatcode Skill

Python SQL toolkit and ORM with expressive query API, relationship mapping, async support, and Alembic migrations

singleton-sd Skill

Opinionated NestJS + SQL Server + Prisma backend guidelines for Singleton SD personal projects. Extends nodejs-backend-patterns with NestJS-specific module structure, Prisma conventions, DTO validation, and JWT auth patterns.

telagod Bundle

Processes Excel spreadsheet files (.xlsx, .xlsm, .csv). Creates workbooks, builds formulas, preserves formatting, analyzes tabular data, and validates financial models with zero-formula-error delivery. Use when working with spreadsheet files or tabular data analysis. Do NOT use for Word documents, PDFs, presentations, or database pipelines.