Data & Analytics

assafkip Bundle

Classify a client-provided leaked/breach-database CSV export (Maltego D4 format) against a subject's identity anchors (SSN, DOB, address, email) into confidence tiers, producing cleaned/filtered-out CSVs and a color-coded Excel deliverable. Use when: analyzing a leaked-records CSV, a Maltego D4 export, breach data for a named subject, "leaked database export", "reformat this CSV of records", filtering false-positive name matches out of a data broker/breach dump. NOT for: live OSINT collection (see the osint skill), report narrative writing (case-specific, stays bespoke per subject), or non-CSV evidence (see extract-intake.py for PDF/DOCX/image verbatim extraction).

azuma520 Bundle

Upload content to Google NotebookLM and generate podcasts, slides, mind maps, quizzes, reports, videos, and more. Also browse, search, and query existing notebooks. Supports URLs (web, YouTube), local files (PDF, DOCX, PPTX, XLSX, EPUB, Markdown, images, audio, CSV, JSON, ZIP), AI research, and Google Drive. Use when the user says: "上傳到 NotebookLM", "生成播客", "做成 PPT", "畫思維導圖", "generate podcast", "make slides", "create mind map", "upload to NotebookLM", "做成報告", "出題", "生成 Quiz", "turn this into a podcast", "summarize this as slides", "把這個做成播客", "幫我整理成報告", "ask NotebookLM", "問筆記本", "找之前的筆記本", "NotebookLM 上的", "check my notebooks", "download the podcast", "what notebooks do I have", "搜尋 notebook", "之前的 notebook", "下載播客", "瀏覽筆記本". Activate this skill whenever the user wants to push content to NotebookLM, generate outputs, browse or query existing notebooks, or download previously generated artifacts.

mnhkahn Bundle

通过 CSV 格式提交旅行线路数据，自动生成路书分享链接。数据存储在 Redis，支持多日行程、酒店住宿跨天衔接、高德地图可视化。

mozilla-mobile Skill

Audit criteria for reviewing a generated test-case CSV — requirements traceability and gap analysis, redundancy elimination, technical/tooling standards, TestRail formatting, and coverage caps / scope exclusions. Loaded by the testcase-reviewer agent as its core audit engine.

mozilla-mobile Skill

Imports a reviewed test-case CSV into TestRail. Creates a root section named after the feature and adds the entire section structure and all test cases inside it. Triggers when the user asks to import, upload, or push manual test cases to TestRail.

mozilla-mobile Skill

Analyzes mobile feature requirements and structures a TestRail-importable 8-column CSV document. Triggers when the user asks to generate, create, or write manual test cases for a mobile feature.

neilotoole Bundle

Guides use of the sq CLI to query SQL databases and tabular files with SLQ (sq's jq-like query language) or native SQL, manage sources, choose output formats, and run inspect, diff, and table commands. Use when the user mentions sq, SLQ, wrangling CSV/Excel/JSON/DB data, cross-source joins, or command-line data pipelines after installing sq from https://sq.io.

carlopi Skill

Read and explore any data file (CSV, JSON, Parquet, Avro, Excel, spatial, …) by filename only — resolves the path automatically. Uses DuckDB + the magic extension for format auto-detection. Installs magic if needed.

chasen-liao Bundle

Use when 用户想复盘任意 X/Twitter 账号 — 丢 Content Analytics CSV，按 Snowflake 还原时间做话题/时段/漏斗分析，并结合《X增长手册》给做号建议

lamm-mit Bundle

Run a physics-based Chladni plate simulation for driven damped rectangular or square thin plates with material properties, plate dimensions, drive frequency, drive location, damping, modal response, and sand-particle settling. Use when asked for more realistic Chladni movies, physical resonance simulations, sand migration to nodal lines, material/thickness/frequency-controlled Chladni figures, or scientifically defensible Chladni artifacts beyond stylized analytic visuals. Produces text-free PNGs, sand-settling GIFs, plate-vibration GIFs, modal frequency CSV, physics NPZ data, parameters JSON, summary JSON, caption, and README by running a bundled Python simulator.

shuyu-labs Bundle

Convert Office documents (Word, Excel, PowerPoint, PDF) to Markdown format. ONLY use this skill when the user explicitly requests to CONVERT, TRANSFORM or PARSE a specific office file into Markdown. Do NOT trigger for general questions, documentation reading, or discussions about files.

orbweva Skill

Customer retention and lifecycle skill. Use when user needs lifecycle email sequences, NPS/CSAT survey design, cohort analysis, or churn reduction strategies. Triggers on "retention", "lifecycle email", "NPS", "CSAT", "customer success", "onboarding emails", "win-back", or /retain commands.

p-essonam Skill

Query Clics analytics and manage projects, goals, funnels, and sessions through the Clics MCP server (`@clicsdev/mcp`), with the `clics` CLI (`@clicsdev/cli`) as a fallback. Use when a user asks about their analytics, mentions Clics, works with the Clics toolset, verifies Clics manually, or needs to choose between MCP and CLI.

p-essonam Skill

Use Clics through the remote MCP connector in ChatGPT. Use when a user wants ChatGPT to query Clics analytics, inspect or manage Clics projects, goals, funnels, sessions, AI crawler activity, or set up browser and AI crawler tracking from a connected Clics workspace.

p-essonam Skill

Use Clics through the remote MCP connector in Cursor. Use when a user wants Cursor to query Clics analytics, inspect or manage Clics projects, goals, funnels, sessions, AI crawler activity, or set up browser and AI crawler tracking from a connected Clics workspace.

rockfish-data Bundle

Inject synthetic incidents (instantaneous spike, sustained magnitude change, data outage, value ramp) into a time-series dataset and evaluate analytics agents with `rockfish.agentfuel` — incident math and ground-truth generation run locally, no remote service. Covers the whole agentfuel toolkit; typed incident configs with boolean SQL test cases verified via DataFusion, Claude-backed natural-language prompts, variations, and answer grading, plus the pandas-based suite generators (analytics aggregation questions, scenario Q&A templates, stateful event/state analysis). Trigger on phrases like "inject an incident", "incident injection", "inject an anomaly", "add a spike to this series", "simulate an outage", "scenario injection", "evaluate my analytics agent", "generate a test suite from my data", "ground-truth test cases from an anomaly", "event/state questions from an event log", "agentfuel", or mentions of `rockfish.agentfuel` or the removed `rockfish.labs.scenarios`, which this skill replaces.

rockfish-data Bundle

Explore, analyze, and load data in Snowflake the way you would local CSV files — list databases/schemas/tables like listing directories, inspect a table's columns, preview or sample rows, profile column statistics, and import generated/local data into a table. Use when a user wants to look at, understand, summarize, pull from, or write to a Snowflake table, warehouse, or database. Trigger on phrases like "what's in my Snowflake", "list the tables", "describe this table", "sample/preview a Snowflake table", "profile the columns", "run a query against Snowflake", "how big is this table", "export a Snowflake table to CSV", or "load/import/upload/write data into Snowflake". Built to stay cheap on large tables — computation is pushed to the warehouse and only small results cross the network.

skillmedev Skill

Designs Notion databases that scale - one entity per database, deliberate property types, two-way relations with rollups, audience-specific views, and row templates - with explicit decision rules for relation vs rollup vs formula. Use when someone asks "design a Notion database for my projects", "should this be a relation or a rollup", "my Notion workspace is a junk drawer", or "set up a tasks and projects system in Notion". Do NOT use for building a full personal knowledge-management method with capture and review habits - use second-brain instead. For SQL or application database schemas, use database-schema.

sztk Skill

Use when reading, reviewing, editing, and writing back an OpenL Tablets Excel file containing SimpleDecisionTable, DataTable, or SpreadsheetTable sheets.

sztk Skill

Use when creating a new OpenL Tablets Excel file from scratch through an interactive interview (API output fields → calculation logic → master data), generating and round-trip validating JSON before exporting to Excel.

iart-ai 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.

idimsh Bundle

agent-friendly implementation guidance for Umami Analytics v3 in web projects. Use when building, reviewing, or configuring privacy-first website analytics with Umami, including tracker setup, custom events, CTAs, affiliate/outbound links, downloads, forms, promotions, revenue, UTM campaigns, pixels, links, goals, funnels, journeys, attribution, tags, distinct IDs, server-side events, and GA4-style migration or concept comparisons.

lanfuli Bundle

Track Serenity / @aleabitoreddit on X and turn the feed into (1) a beginner-friendly Chinese iMessage digest with first-principles + Buffett-style judgement, (2) cumulative 60-day ticker mention analytics CSVs for a website, (3) a Xiaohongshu writing brief, and (4) a durable private research map. Trigger on requests like "follow aleabitoreddit / AleaBito / Serenity", "daily Chinese updates from that X account", "60-day mention analytics", "ticker mention count", "写小红书 aleabito", "aleabito 研究地图 / research map", or any request for Chinese commentary derived from @aleabitoreddit posts.

leedonwoo2827-ship-it Skill

완성된 씬 데이터(프롬프트, 내레이션, scene_meta)를 마스터 대본 JSON, 마크다운 대본, CSV 파일로 저장한다. JSON은 FlowGenie/TTS/SceneWeaver가 소비하는 마스터 포맷이다. 모든 씬 상세가 확정된 후 자동으로 실행되거나, '파일 생성해줘', '저장해줘'라고 요청하면 사용한다.

cuga-project Bundle

Use when the user hands over a CSV or spreadsheet export and wants to know what is in it — column types, missing values, ranges, and the most common values.

dangooy Bundle

外贸客户开发/市场情报系统。为 B2B 外贸工厂/贸易公司批量产出高质量、可直接触达的海外客户线索（本文档以紧固件/垫圈行业为贯穿示例，方法适用于任何标准化工业品）。当用户说"开发客户"、"找买家"、"找进口商"、"找经销商"、"XX国家谁买XX产品"、"客户开发"、"市场情报"、"找海外客户"、"批量开发"时触发。即使没明说"/market-intel"，只要意图是"系统性找一批可触达的目标客户"，就应触发。 五阶段流水线：发现候选公司URL → firecrawl抓官网提取 → 免费并行背调验证 → 确定性打分分级 → 生成Excel报告。 诚实边界：本系统只用公开网页+免费搜索+firecrawl，**不承诺**海关采购记录、决策人私密联系方式（那些需要付费专业库）。对每条线索按可信度诚实分级（A可直接发信/B待验证/C仅供参考）。

dangooy Bundle

外贸询盘转**中文报价表**工具，专供内部报价员填写单价使用。当用户说"转中文报价表"、"发给报价员"、"询盘转中文"、"内部报价"、"给采购/报价员看的表"时触发。 注意：本技能输出中文报价表（内部使用）。生成发给客户的英文报价单不在本 skill 范围内。 核心功能：读取英文/俄文询盘XLS文件 → 动态识别所有列（含空列头列）→ 翻译列头和产品名称为中文 → 补全DIN/ISO标准尺寸 → 生成带黄色报价填写列的Excel报价表。 适用场景：外贸紧固件/垫圈/标准件询盘处理，支持DIN/ISO/GOST等标准，支持按KG或按PCS计价。

digoal Bundle

Business intelligence analysis agent for PostgreSQL that discovers database metadata, generates SQL queries for revenue/customer/product metrics, and produces comprehensive analytical reports

digoal Bundle

This skill is designed to perform comprehensive daily health checks on a PostgreSQL database. It leverages a suite of specialized SQL queries and analysis logic to provide insights into database availability, performance, activity, maintenance, storage, replication, and archiving status. The skill aims to identify potential issues such as blocking locks, long-running queries, transaction ID wraparound risks, bloat in tables and indexes, connection bottlenecks, and archiving failures.

manutej Skill

Take a folder, repo, wiki, or knowledge base and build a typed index of its parts, a lattice you can open, and a reusable package so the next folder uses the same structure. Use when the user says "take this codebase and create a sheaf", "build a lattice knowledge base", "ingest this folder", "make a reusable structure from this repo", or "index this wiki." Do not use for a one-file edit or a chat Q&A. Do not treat paragraphs or embeddings as parts. Do not invent links.

martinhjartmyr Bundle

Fetch analytics from Umami. Use when the user asks about umami, analytics, website traffic, daily stats, pageviews, visitors, how is my site doing, traffic report, site performance, bounce rate, visitor count, active users, who is on my site, or website statistics.

matt-w-horn Bundle

Build a grounded, verified long-horizon financial plan for a person - accumulation, financial-independence timing, drawdown, and the decision rules to run it by. Use this whenever someone asks when they can retire or go work-optional, wants a FIRE or retirement plan built or reviewed, brings a spreadsheet or planner document to audit, asks about safe withdrawal rates, savings schedules, drawdown strategy, or whether their money supports a life change (quitting, sabbatical, going independent, relocating). Trigger even for partial asks like "check my retirement math" or "how much do I need to leave my job" - the pieces need the whole model. Pairs with the life-paths skill (this skill prices a chosen life; that one chooses it), but runs fully standalone.

matteobaccan Bundle

Analizza i commenti di un post LinkedIn (tipicamente un post cringe generato con la skill linkedin-cringe) e produce un report markdown con le statistiche - quanti ci hanno creduto e quanti hanno colto lo scherzo, top ten per gradimento, toni, categorie di commentatori, cringe-metro dei commenti. Usala quando l'utente chiede di analizzare le reazioni o i commenti a un post LinkedIn.

2fastlabs Bundle

Use when building or modifying a Python app that uses the agent-squad Python package — async multi-agent orchestration for Python 3.11+: orchestrator, agents (BedrockLLMAgent, AnthropicAgent, OpenAIAgent, SupervisorAgent, GroundedAgent, ChainAgent, and more), classifier routing (Bedrock, Anthropic, OpenAI), storage (in-memory, DynamoDB, SQL/Turso), retrievers (Amazon KB, Dakera), tools (AgentTools, MCPToolProvider), and custom implementations.

2fastlabs Bundle

Use when building or modifying a Node.js / TypeScript app that uses the agent-squad npm package — multi-agent orchestration: orchestrator, agents (all built-in types + GroundedAgent), classifier routing (Bedrock / Anthropic / OpenAI), storage (in-memory / DynamoDB / SQL), retrievers (Amazon KB / Dakera), and tools (AgentTools + MCPToolProvider).

anniesai Skill

Write, publish and keep current a shared AgentHog report — a Markdown file with live charts that everyone in the organization opens in the dashboard. Learn the house format from an existing report, decide what is analysis (prose, frozen rows) and what stays live (constrained SQL with a TTL), preview until clean, publish with the ah CLI, verify by reading the resolved report back, and revise it on a schedule so its history stays intact. Use when asked for a report, a weekly/monthly review, a launch or liveops page, a KPI page, or to update or refresh an existing AgentHog report.