Data & Analytics

hereshecodes Skill

Use when writing database queries, SQL, ORM code, or shell commands

khaicafe Bundle

Read, write, append, and list local files in the session's working directory. Use when you need to persist output to disk, read input files, or manipulate file system safely. Supports text files, JSON, CSV, Markdown.

oriolrius Bundle

Comprehensive guide for Microsoft SQL Server connectivity using the mssql Node.js library. This skill should be used when connecting to SQL Server databases, configuring connection pools, executing queries (simple, parameterized, stored procedures), handling transactions, performing bulk operations, streaming large result sets, or integrating SQL Server with Node-RED nodes.

fellipeutaka Bundle

Bun runtime, package manager, bundler, and test runner. Use when running scripts with bun, managing packages, serving HTTP with Bun.serve, querying databases with Bun.sql/bun:sqlite/Bun.redis, shell scripting with $, using S3/file I/O, writing tests with bun:test, bundling or compiling to executable, or using any Bun-specific API (spawn, glob, semver, FFI, workers, plugins, HTMLRewriter).

xrplf Bundle

Use this skill when optimizing Go performance, writing benchmarks, using the standard library (HTTP, JSON, SQL, time), or ensuring production-quality testing.

paldom Bundle

Sets up conversion measurement and A/B testing for a landing page - server/edge variant assignment (no flicker), A/B vs multi-armed bandit, statistical significance, filtering bot/AI traffic, analytics. Use when asked to A/B test, run an experiment, measure conversions, check significance, or set up landing-page analytics. Not for writing copy, page structure, or Core Web Vitals.

alyanhaider Bundle

Complete security guide for indie and vibe-coded web apps — covering SQL injection prevention, input validation, secrets management, webhook signature verification, broken access control, XSS prevention, and rate limiting. Use this skill whenever the user is building anything that stores user data, handles payments, takes user input, calls a database, or exposes an API. Also trigger for phrases like "how do I make this secure", "is this safe", "can this be hacked", "search bar security", "SQL injection", "protect my API", "secure my backend", "should I validate input", "how do I store secrets", "is my webhook safe". This skill should be consulted for EVERY backend feature — security is not optional and AI almost always skips it by default. Always apply these rules before writing any route, controller, or database query.Security Hardening Skill

datocms Bundle

Node.js/TypeScript scripts driving the DatoCMS Content Management API via @datocms/cma-client (-node/-browser). Code-first companion for content + automation work. Use for record/upload/project-automation code — short asks ("publish them", "fix those slugs", "delete all drafts", "bulk import this CSV") and checked-in scripts. Covers: (1) content ops — CRUD + publish records, bulk import/export, CSV pipelines, pagination, asset uploads (URL/file) with metadata, structured-text + block payload edits; (2) env + governance — fork/promote envs, webhooks, build triggers, project settings, maintenance mode, scheduled publish/unpublish, audit logs, usage analytics, subscription limits; (3) access + typed flows — roles, API tokens, upload tracks/tags, generated CMA types; (4) schema/UI mutation only when user opts out of migrations or embeds it in automation. Ordinary schema changes → `datocms-cli` migrations. Runs via `cma:call`/`cma:script` or checked-in `buildClient()` scripts.

withqwerty Skill

Learn about football analytics concepts and explore provider documentation. Use when the user asks what a metric means (xG, PPDA, expected threat, xT), wants learning resources, papers, or courses, is new to football analytics, or wants a learning path. Also use when the user asks about data provider documentation — qualifier IDs, coordinate systems, event types, API schemas, field mappings, identity surfaces, provider ID schemes — or wants to compare providers, look something up in the docs, or find out what data a provider offers.

withqwerty Bundle

Football data analytics — the single entry point. Use whenever the user mentions football data, xG, expected goals, match analysis, player stats, scouting, match reports, shot maps, passing networks, Premier League data, Champions League stats, scraping FBref/Understat/Transfermarkt, building football charts, or anything football analytics related. Routes to specialised sub-skills automatically. Also handles first-time setup and profile management.

withqwerty Bundle

Brainstorm football data visualisations and chart designs. Use when the user wants ideas for how to visualise football data, needs inspiration for chart types, wants to explore design approaches for match reports, player profiles, team dashboards, or any football analytics graphic. Searches the web for popular approaches and real-world examples before proposing options.

pytorch Skill

Find reverts that landed on pytorch/pytorch main but are missing from a release branch (release/X.Y) because the reverted commit was already shipped in a release candidate, and open one cherry-pick PR per missing revert against the release branch (on a fork branch, never pushing to release/X.Y directly), optionally posting a cherry-pick nomination comment for each on the release tracker issue. Driven by tools/analytics/github_analyze.py --analyze-missing-reverts-from-branch (the "GitHub Analytics Daily" workflow). Triggered by "missing reverts", "analyze reverts for release", "cherry-pick missing reverts", "reverts not in release/X.Y", or pointing at a GitHub Analytics Daily run and asking to cherry-pick the flagged reverts.

quantskills Bundle

Use when tasks need local market Parquet data, factor artifacts, backtest data, or model files through DataManager.

ritmillio Bundle

Run the safe Drizzle migration ritual for a repo with a fragile migration directory: pick the next free prefix, generate, grep the SQL for destructive operations, enforce IF EXISTS, run the migration check, and confirm schema lands with its migration in one commit. Use when the user changes a Drizzle schema file, says 'generate a migration', 'add a column/table', 'db:generate', or is about to ship a schema change.

tanishqkancharla Bundle

Execute SQL queries against the agent database. Use when inspecting database schema, tables, or data, verifying data after changes, or debugging database-related issues.

apexbusiness-systems Bundle

Synchronizes external application JSON payloads into unified APEX-OmniHub state vectors for OmniBoard application integration and onboarding. Use when mapping external API schemas, normalizing disjointed app data, or initializing OmniBoard app sync. Does not cover client onboarding, direct database migrations, or CSV/PDF parsing.

dulltackle Skill

Create, analyze, proofread, and modify Office documents (.docx, .xlsx, .pptx) using the officecli CLI tool. Use when the user wants to create, inspect, check formatting, find issues, add charts, or modify Office documents.

dulltackle 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。

sugatoray Bundle

Turns a plain-language description of a data/statistics task into correct, runnable Stata code — a .do file or command sequence, not pseudocode. Use this whenever the user asks how to do something in Stata, wants a Stata command or .do file written or fixed, mentions Stata alongside a modeling task (regression, panel data, time series, ARDL, fixed effects, diff-in-diff, matching, etc.), or wants Stata and Python working together (running Python from inside a .do file, pulling Stata's dataset into pandas, or driving Stata from a Python script via pystata/stata_setup or batch mode). Also trigger when the user pastes Stata code that errors or gives wrong-looking results and wants it debugged, or asks 'is this good Stata style' / 'what's wrong with this command'. Covers a growing library of named recipes for common econometric workflows (ARDL modeling shipped now; more added over time) that produce a ready-to-run script, not just an explanation.

2233admin Bundle

主动渗透测试工具链。覆盖信息收集、端口扫描、漏洞扫描、Web 渗透、SQL 注入、目录爆破、密码破解等场景。 通过 MCP server（pentestMCP / mcp-security-hub）将 20+ 安全工具暴露给 AI agent。 触发关键词：渗透测试、端口扫描、Nmap、漏洞扫描、Nuclei、SQL 注入、SQLMap、目录爆破、FFUF、密码破解、Hashcat、信息收集、子域名、Web 渗透、ZAP、Burp。

abdullahbeam Bundle

Read and write Google Sheets data. Load when user mentions 'google sheets', 'spreadsheet', 'update sheet', 'read sheet', 'append to sheet', or references extracting data to update a tracking sheet.

posthog Bundle

Get PostHog data into a canvas correctly: the host-injected `ph` SDK (loadInsight, query, capture, state, connectors, openExternal, navigate), the data hierarchy (saved insights first, typed query nodes second, inline HogQL last), verifiability (insight-backed metrics link their saved insight in PostHog; ad-hoc queries expose the exact query that ran), per-insight-type result shapes, progressive per-query loading, date-range wiring, live third-party data through the viewer's own connections (ph.connectors), and event capture from a canvas. Use whenever a canvas shows metrics, charts, tables, any PostHog data, or data from GitHub or an MCP server, or needs to send analytics events.

1inch Bundle

Read 1inch Aqua shared-liquidity analytics (maker TVL, fees, APY, strategies, activity, volume) via the MCP `aqua` tool. Use for Aqua strategy questions; prefer aqua over raw product_api.

1inch Bundle

Connect to the 1inch MCP server for documentation search, SDK examples, token swaps, limit orders, authenticated product API access, WalletConnect, Aqua analytics, and (when registered) org-scoped log lookup. Use when the user asks about 1inch integration, DeFi swaps, classic or Fusion or cross-chain flows, orderbook, portfolio, gas or spot price APIs, API keys, MCP or IDE setup, or blockchain development with 1inch.

agamiai Skill

Runs the golden evaluation harness for a profile. Picks one golden dataset, regenerates SQL for every question in it, executes each statement against the org's own warehouse, scores the result against the confirmed answer key, and reports the verdicts — failures first, with the errored, the unscored and the unconfirmed each kept separate. Scoring is deterministic and happens in agami-core; the skill reports it and never re-judges it. Neither the answer key nor the generated statement is printed: both stay in a local JSON artifact the report points at.

agamiai Skill

Reconciles known (label, expected_value) numbers from an existing dashboard against agami's answers. Input can be a SCREENSHOT of a Metabase / Power BI / Tableau / Looker dashboard (Claude's vision extracts the pairs), a CSV, or numbers pasted inline — the user doesn't need to know which; they can just ask. For each pair, the skill generates a matching NL question, runs it through the active profile's semantic model, diffs actual vs expected, and surfaces matches in green and mismatches in red with drill-down receipts. The strongest onboarding demo for a skeptical data engineer — either we agree with their numbers (trust earned via evidence) or we surface a real definitional disagreement (trust earned via transparency).

agamiai Skill

Writes golden-dataset items for a profile through two doors. The import door turns a question bank — a CSV, or a table pasted into chat — into items after the parsed rows have been shown and agreed to: a row that already carries a statement is written confirmed, a bare question is written unconfirmed. The save door writes one question, the statement that answered it and the result the person accepted, as a confirmed item. The curation door applies the changes queued on the golden-dataset explorer page, which may weaken a claim and may never grant one. Every write goes through agami-core's writer, is re-read by the runner's own reader before it is kept, and is append-only: a write that would change an item that already exists stops and shows the before and the after. This skill writes only; it never runs or scores a dataset.

borjani1577 Bundle

Audit a spreadsheet for formula accuracy, errors, and common mistakes. Scopes to a selected range, a single sheet, or the entire model, including financial-model integrity checks like BS balance, cash tie-out, and logic sanity. Triggers on "audit this sheet", "check my formulas", "find formula errors", "QA this spreadsheet", "sanity check this", "debug model", "model check", "model won't balance", "something's off in my model", and "model review".

borjani1577 Bundle

This skill should be used when completing LBO (Leveraged Buyout) model templates in Excel for private equity transactions, deal materials, or investment committee presentations. The skill fills in formulas, validates calculations, and ensures professional formatting standards that adapt to any template structure.

borjani1577 Skill

Clean up messy spreadsheet data — trim whitespace, fix inconsistent casing, convert numbers-stored-as-text, standardize dates, remove duplicates, and flag mixed-type columns. Use when data is messy, inconsistent, or needs prep before analysis. Triggers on "clean this data", "clean up this sheet", "normalize this data", "fix formatting", "dedupe", "standardize this column", and "this data is messy".

borjani1577 Bundle

Comparable Company Analysis

borjani1577 Bundle

Complete, populate and fill out 3-statement financial model templates (Income Statement, Balance Sheet, Cash Flow Statement). Use when asked to fill out model templates, complete existing model frameworks, populate financial models with data, complete a partially filled IS/BS/CF framework, or link integrated financial statements within an existing template structure. Triggers include requests to fill in, complete, or populate a 3-statement model template

jjuice22 Bundle

Anonymizes student data in any document or text to ensure FERPA compliance before using it with AI tools, sharing with third parties, or including in professional portfolios. Trigger this skill whenever the user mentions student data, student records, session notes, coaching observations, progress reports, IEP data, assessment results, case studies, or any content that might contain personally identifiable information (PII) about minors or students. Also trigger when the user says "make this FERPA-safe", "anonymize this", "remove student names", "de-identify this document", "can I share this with AI?", or asks whether a document is safe to use in AI tools. Works on pasted text, uploaded .docx, .pdf, .txt, and .xlsx files. Produces a clean anonymized version with a secure local mapping key so pseudonyms stay consistent across a session.

jjuice22 Skill

Interprets, summarizes, and visualizes student assessment data from any common K-12 assessment tool — DIBELS, iReady, STAR, NWEA MAP, state assessments, progress monitoring probes, benchmark screeners, or teacher-created assessments. Trigger this skill whenever the user pastes or uploads student data, wants to make sense of assessment results, needs to present data to parents or staff, wants to identify students for intervention, asks what the data means, wants a data summary for an IEP or team meeting, needs to track progress over time, or asks about data trends. Also trigger when the user says "help me understand this data", "what does this tell me?", "who needs intervention?", or "how do I explain this to parents?" Works with pasted tables, uploaded .xlsx or .csv files, or verbal descriptions of data. Always applies FERPA anonymization before producing outputs unless user confirms safe context.

jakenuts Bundle

Manage Cloudflare infrastructure including DNS records, zones, SSL/TLS, caching, firewall rules, Workers, Pages, and analytics. Use when working with Cloudflare APIs, creating or modifying DNS records, managing domain security, purging cache, deploying Workers/Pages, or analyzing traffic. Created by After Dark Systems, LLC.

phodal Bundle

Use this skill for spreadsheet creation, editing, analysis, formatting, formula modeling, charting, or workbook review. Triggers include requests to create or modify an .xlsx file, build a model or tracker, format a workbook, add formulas or charts, or prepare a shareable spreadsheet deliverable.