███████╗██╗ ██╗██╗██╗ ██╗ ██████╗ █████╗ ███╗ ██╗██╗ ██╗
██╔════╝██║ ██╔╝██║██║ ██║ ██╔══██╗██╔══██╗████╗ ██║██║ ██╔╝
███████╗█████╔╝ ██║██║ ██║ ██████╔╝███████║██╔██╗ ██║█████╔╝
╚════██║██╔═██╗ ██║██║ ██║ ██╔══██╗██╔══██║██║╚██╗██║██╔═██╗
███████║██║ ██╗██║███████╗███████╗ ██║ ██║██║ ██║██║ ╚████║██║ ██╗
╚══════╝╚═╝ ╚═╝╚═╝╚══════╝╚══════╝ ╚═╝ ╚═╝╚═╝ ╚═╝╚═╝ ╚═══╝╚═╝ ╚═╝
Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8401 | literature-review | davila7/claude-code-templates |
Literature Review Use this skill when the task is to find, screen, synthesize, and cite a body of academic or technical literature. When to Use Building a systematic, scoping, or narrative literature review. Synthesizing the state of the art for a research question. Finding gaps, contradictions, or future-work directions. Preparing citation-backed background sections for papers or reports. Comparing evidence across peer-reviewed papers, preprints, patents, and technical reports. Review Types Sho...
|
2K |
| 8402 | cli-anything | hkuds/cli-anything |
CLI-Anything for Codex Use this skill when the user wants Codex to act like the CLI-Anything builder. If this skill is being used from inside the CLI-Anything repository, read ../cli-anything-plugin/HARNESS.md before implementation. That file is the full methodology source of truth. If it is not available, follow the condensed rules below. Inputs Accept either: A local source path such as ./gimp or /path/to/software A GitHub repository URL Derive the software name from the local directory name a...
|
2K |
| 8403 | scientific-writing | davila7/claude-code-templates |
Scientific Writing Purpose Produce clear scientific prose without inventing evidence or concealing uncertainty. Keep drafting, evidence verification, and submission approval as separate stages. The accountable human authors control scientific decisions and final approval. AI is not an author, and generated fluency is never evidence [SW-S01, SW-S03]. Non-negotiable safety rules Confidentiality Do not send unpublished manuscripts, peer-review or editorial material, sensitive or restricted data, PH...
|
2K |
| 8404 | 3-statement-model | anthropics/financial-services |
3-Statement Financial Model Template Completion Complete and populate integrated financial model templates with proper linkages between Income Statement, Balance Sheet, and Cash Flow Statement. ⚠️ CRITICAL PRINCIPLES — Read Before Populating Any Template Environment — Office JS vs Python: If running inside Excel (Office Add-in / Office JS): Use Office JS directly. Write formulas via range.formulas = [["=D14*(1+Assumptions!$B$5)"]] — never range.values for derived cells. No separate recalc; Excel...
|
2K |
| 8405 | backtesting-trading-strategies | gracefullight/stock-checker |
Backtesting Trading Strategies Overview Validate trading strategies against historical data before risking real capital. This skill provides a complete backtesting framework with 8 built-in strategies, comprehensive performance metrics, and parameter optimization. Key Features: 8 pre-built trading strategies (SMA, EMA, RSI, MACD, Bollinger, Breakout, Mean Reversion, Momentum) Full performance metrics (Sharpe, Sortino, Calmar, VaR, max drawdown) Parameter grid search optimization Equity curve vis...
|
2K |
| 8406 | vitest-midscene-e2e | web-infra-dev/midscene-skills |
Vitest Midscene E2E Modules Module Role Vitest TypeScript test framework. Provides describe / it / expect /hooks for test organization, assertions, and lifecycle. Midscene AI-driven UI automation. Interacts with UI elements via natural language — no fragile selectors. Core API: aiAct . Supported platforms: Web — WebTest (Playwright Chromium): ctx.agent + ctx.page Android — AndroidTest (ADB + scrcpy): ctx.agent only iOS — IOSTest (WebDriverAgent): ctx.agent only Workflow Step 1: Clone boilerplate...
|
2K |
| 8407 | clone-website | julianromli/ai-skills |
Clone Website Skill Transform any website into production-ready Next.js 16 code using Firecrawl MCP. Workflow Execute these 3 phases in order. Never skip Phase 2. Phase 1: Scrape Extract URL from user request Identify section filter if specified (e.g., "hero only", "just the pricing") Scrape using Firecrawl: firecrawl-mcp___firecrawl_scrape: url: [TARGET_URL] formats: ["markdown", "html"] onlyMainContent: true If scrape fails, fallback to firecrawl-mcp___firecrawl_crawl Phase 2: Analy...
|
2K |
| 8408 | build-zoom-rest-api-app | anthropics/knowledge-work-plugins |
/build-zoom-rest-api-app Background reference for deterministic server-side Zoom automation and resource management. Prefer plan-zoom-product , plan-zoom-integration , or debug-zoom first, then route here for endpoint-level detail. Zoom REST API Expert guidance for building server-side integrations with the Zoom REST API. This API provides 600+ endpoints for managing meetings, users, webinars, recordings, reports, and all Zoom platform resources programmatically. Official Documentation : https:/...
|
2K |
| 8409 | migrate-nativewind-to-uniwind | uni-stack/uniwind |
Migrate NativeWind to Uniwind Uniwind replaces NativeWind with better performance and stability. It requires Tailwind CSS 4 and uses CSS-based theming instead of JS config. Pre-Migration Checklist Before starting, read the project's existing config files to understand the current setup: package.json (NativeWind version, dependencies) tailwind.config.js / tailwind.config.ts metro.config.js babel.config.js global.css or equivalent CSS entry file nativewind-env.d.ts or nativewind.d.ts Any file usin...
|
2K |
| 8410 | fiction-workshop | rhavekost/author-toolkit |
Editorial workflow for collaborative fiction writing in three stages: Story Bible Building, Chapter Development, and Reader Testing. When to Use This skill is for: - ✅ Long-form fiction (novels, novellas, short story collections) - ✅ Multi-chapter manuscripts requiring character/plot consistency - ✅ Fiction projects needing developmental or line editing - ✅ Stories with complex worldbuilding or multiple POV characters When NOT to Use This skill is NOT for: - ❌ Flash fiction or single ...
|
2K |
| 8411 | citation-management | lingzhi227/agent-research-skills |
Citation Management Manage the full lifecycle of citations in a LaTeX paper. Input $0 — Action: harvest , validate , add , format $1 — Path to .tex or .bib file Scripts Validate citations (check all cite keys resolve) python ~/.claude/skills/citation-management/scripts/validate_citations.py \ --tex paper/main.tex --bib paper/references.bib --check-figures --figures-dir paper/figures/ Reports: missing citations, unused bib entries, duplicate keys, duplicate sections, duplicate labels, undefined r...
|
2K |
| 8412 | code-quality | cognitedata/builder-skills |
Code Quality Review Review $ARGUMENTS (or the whole app if no argument is given) for code quality issues. Work through every step below in order and report all findings with file paths and line numbers. Step 1 — Run the linter first Before reading any code manually, get a baseline from the automated tools: pnpm run lint List every error and warning. Fix all errors before proceeding — lint errors are not negotiable. Warnings should be reviewed and resolved unless there is a documented exception. ...
|
2K |
| 8413 | physical-ai-video-data-augmentation | nvidia/skills |
Physical AI Video Data Augmentation Workflow Orchestrator Default workflow skill for VDA execution on OSMO. It owns flow selection, preflight, cache readiness, inference-path decisions, submit-time interpolation, monitoring, and output retrieval. Component skills are consult-only. Purpose Run the end-to-end VDA workflow safely and reproducibly from preflight to output download. Do NOT use this skill for container-internal tuning-only questions. Prerequisites Confirm these before running prefligh...
|
2K |
| 8414 | app-icon | code-with-beto/skills |
App Icon Generation Workflow Overview Generate professional app icons using AI and configure them for both iOS (with iOS 26 Liquid Glass support) and Android platforms in Expo apps. Step 0: Verify SnapAI Setup (CRITICAL - DO THIS FIRST) Before attempting to generate icons, check if SnapAI is configured: Check if SnapAI is configured: npx snapai config --show If the config check fails or shows no API key: SnapAI requires an OpenAI API key to generate icons Each icon costs approximately $0....
|
2K |
| 8415 | scroll-experience | sickn33/agentic-awesome-skills |
Scroll Experience Expert in building immersive scroll-driven experiences - parallax storytelling, scroll animations, interactive narratives, and cinematic web experiences. Like NY Times interactives, Apple product pages, and award-winning web experiences. Makes websites feel like experiences, not just pages. Role : Scroll Experience Architect You see scrolling as a narrative device, not just navigation. You create moments of delight as users scroll. You know when to use subtle animations and whe...
|
2K |
| 8416 | scribe | anthropics/knowledge-work-plugins |
Zoom AI Services Scribe Background reference for Zoom AI Services Scribe across: synchronous single-file transcription ( POST /aiservices/scribe/transcribe ) asynchronous batch jobs ( /aiservices/scribe/jobs* ) browser microphone pseudo-streaming via repeated short file uploads webhook-driven batch status updates Build-platform JWT generation and credential handling Official docs: https://developers.zoom.us/docs/ai-services/ https://developers.zoom.us/docs/ai-services/scribe/ https://developers....
|
2K |
| 8417 | plan-zoom-product | anthropics/knowledge-work-plugins |
/plan-zoom-product If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md . Choose between Zoom REST API, Webhooks, WebSockets, Meeting SDK, Video SDK, Zoom Apps SDK, Phone, Contact Center, or MCP for a specific use case. Usage /plan-zoom-product $ARGUMENTS Workflow Identify the user's actual goal. Classify whether the problem is automation, embedded meetings, custom video, in-client app behavior, event delivery, AI tooling, or support/phone/contact-cent...
|
2K |
| 8418 | skill-authoring-workflow | deanpeters/product-manager-skills |
Purpose Create or update PM skills without chaos. This workflow turns rough notes, workshop content, or half-baked prompt dumps into compliant skills/<skill-name>/SKILL.md assets that actually pass validation and belong in this repo. Use it when you want to ship a new skill without "looks good to me" roulette. Key Concepts Dogfood First Use repo-native tools and standards before inventing a custom process: scripts/find-a-skill.sh scripts/add-a-skill.sh scripts/build-a-skill.sh scripts/test-a-ski...
|
2K |
| 8419 | rev-frida | p4nda0s/reverse-skills |
rev-frida - Frida Script Generator Generate Frida instrumentation scripts for dynamic analysis, hooking, and runtime inspection. Overview Use Frida for: native export hooks Java or ObjC method hooks runtime tracing argument or return-value capture memory dumping loader-aware native instrumentation Important: Modern Frida CLI The modern Frida CLI does not use --no-pause . A spawned process resumes after the script is loaded. Spawn and hook frida -U -f com.example.app -l hook.js Attach to runnin...
|
2K |
| 8420 | caveman | pandoscope/skills |
Respond terse like smart caveman. All technical substance stay. Only fluff die. Persistence ACTIVE EVERY RESPONSE. No revert after many turns. No filler drift. Still active if unsure. Off only: "stop caveman" / "normal mode". Default: full . Switch: /caveman lite|full|ultra . Rules Drop: articles (a/an/the), filler (just/really/basically/actually/simply), pleasantries (sure/certainly/of course/happy to), hedging. Fragments OK. Short synonyms (big not extensive, fix not "implement a solution for"...
|
2K |
| 8421 | research-decision-room | nexu-io/open-design |
Research Decision Room Skill Create a single-page HTML decision artifact that helps a product or design team turn messy evidence into a clear next move. The output is not a decorative research deck. It is a working room for debate: evidence, themes, confidence, tradeoffs, and recommended experiments stay visible together. Resource map research-decision-room/ ├── SKILL.md ├── example.html └── references/ ├── checklist.md └── evidence-model.md Show more Installs 555 Repository nexu-io/open-design ...
|
2K |
| 8422 | read-deleted-pages | useosint/skills |
Read deleted pages Archives work because removal is a decision made after publication. The beginner's mistake is treating the Wayback Machine as a website you browse: the calendar UI shows one page at a time, while the CDX API enumerates every URL the archive ever saw under a host, including paths nobody remembers. Which archive first Situation Go to Why A URL that 404s now Wayback, then archive.today Different corpora, different removal pressure "What did this site say before X" Wayback CDX wit...
|
2K |
| 8423 | physical-ai-defect-image-generation | nvidia/skills |
Physical AI Defect Image Generation Workflow Orchestrator Table of Contents Supported Flows Disambiguation (full table in references/disambiguation.md ) Step 0: Select Flow, Cookbook, and Gather Inputs Common Preconditions (long-form in references/preconditions.md ) Flow walkthroughs (one entry per flow; details in references/flows/ ) OSMO Monitoring Supporting files End-to-end orchestration of defect image generation, augmentation, and labeling pipelines for AOI (Automated Optical Inspection) d...
|
2K |
| 8424 | fusion-mcp | equinor/fusion-skills |
Fusion MCP Setup Guide When to use Use this skill when a user asks: what Fusion MCP is what it can do how to install/configure it how to verify that it is working how to troubleshoot a failing Fusion MCP setup Typical triggers: "what is fusion mcp" "help me set up fusion mcp" "how do I use fusion mcp with copilot" When not to use Do not use this skill for: implementing product features unrelated to MCP setup making destructive environment changes without user confirmation assuming private reposi...
|
2K |
| 8425 | prompt-optimizer | daymade/claude-code-skills |
Prompt Optimizer Analyze a draft prompt, critique it, match it to ECC ecosystem components, and output a complete optimized prompt the user can paste and run. When to Use User says "optimize this prompt", "improve my prompt", "rewrite this prompt" User says "help me write a better prompt for..." User says "what's the best way to ask Claude Code to..." User says "优化prompt", "改进prompt", "怎么写prompt", "帮我优化这个指令" User pastes a draft prompt and asks for feedback or enhancement User says "I don't know ...
|
2K |
| 8426 | docs-review | metabase/metabase |
Documentation Review Skill @./../_shared/metabase-style-guide.md Review mode detection IMPORTANT: Before starting the review, determine which mode to use: PR review mode: If the mcp__github__create_pending_pull_request_review tool is available, you are reviewing a GitHub PR Use the pending review workflow to post all issues as one cohesive review Follow the workflow steps in "PR review mode format" below Local review mode: If the MCP tool is NOT available, output issues in the conversation...
|
2K |
| 8427 | experience-lwc-security-validate | forcedotcom/sf-skills |
Reviewing LWS Security Run a structured Lightning Web Security (LWS) and Product Security compliance pass over a Lightning Web Component. Two output modes: Review mode (default) — severity-ranked findings + applied code fixes. Score mode — SARIF 2.1.0 JSON report keyed by the LWS rule catalog ( lws-001 … lws-023b ) for downstream gating, eval scoring, or CI ingest. Both modes use the same detection rules from the references; only the output format differs. When to Use The user asks for a "securi...
|
2K |
| 8428 | clojure-write | metabase/metabase |
Clojure Development Skill Tool Preference When clojure-mcp tools are available (e.g., clojure_eval, clojure_edit), always use them instead of shell commands like ./bin/mage -repl. The MCP tools provide: Direct REPL integration without shell escaping issues Better error messages and feedback Structural Clojure editing that prevents syntax errors Only fall back to ./bin/mage commands when clojure-mcp is not available. @./../_shared/development-workflow.md @./../_shared/clojure-style-guide.md @...
|
2K |
| 8429 | probe-sdk | anthropics/knowledge-work-plugins |
Zoom Probe SDK Background reference for preflight diagnostics on user devices and networks before meeting or session workflows. Official docs: https://developers.zoom.us/docs/probe-sdk/ https://marketplacefront.zoom.us/sdk/probe/index.html Reference sample: https://github.com/zoom/probesdk-web Routing Guardrail Use Probe SDK when the user needs client-side diagnostics and readiness scoring (device/network/browser capability), not meeting/session join. If user needs embedded meeting flows, route ...
|
2K |
| 8430 | build-zoom-phone-integration | anthropics/knowledge-work-plugins |
/build-zoom-phone-integration Background reference for Zoom Phone integrations across API, webhook, Smart Embed, and URI-launch workflows. Implementation guidance for Zoom Phone integrations across API, webhook/event, Smart Embed, and URI-launch workflows. Official docs: https://developers.zoom.us/docs/phone/ CRM sample reference: https://github.com/zoom/CRM-Sample Routing Guardrail If the user needs embedded softphone behavior in a web app, use Smart Embed ( examples/smart-embed-postmessage-bri...
|
2K |
| 8431 | clean-data-xls | anthropics/financial-services |
Clean Data Clean messy data in the active sheet or a specified range. Environment If running inside Excel (Office Add-in / Office JS): Use Office JS directly ( Excel.run(async (context) => {...}) ). Read via range.values , write helper-column formulas via range.formulas = [["=TRIM(A2)"]] . The in-place vs helper-column decision still applies. If operating on a standalone .xlsx file: Use Python/openpyxl. Workflow Step 1: Scope If a range is given (e.g. A1:F200 ), use it Otherwise use the full use...
|
2K |
| 8432 | sentry-ruby-sdk | getsentry/sentry-for-ai |
All Skills > SDK Setup > Ruby SDK Sentry Ruby SDK Opinionated wizard that scans the project and guides through complete Sentry setup. Invoke This Skill When User asks to "add Sentry to Ruby" or "set up Sentry" in a Ruby app User wants error monitoring, tracing, logging, metrics, profiling, or crons in Ruby User mentions sentry-ruby , sentry-rails , or the Ruby Sentry SDK User is migrating from AppSignal, Honeybadger, Bugsnag, Rollbar, or Airbrake to Sentry User wants to monitor exceptions, HTTP ...
|
2K |
| 8433 | rivet-sdk | anthropics/knowledge-work-plugins |
Zoom Rivet SDK Background reference for Zoom Rivet as a JavaScript and TypeScript server framework for Zoom integrations. Implementation guidance for Zoom Rivet (JavaScript/TypeScript) as a server-side framework for: OAuth and token handling Webhook event consumption Typed REST API endpoint wrappers Multi-module server composition Official docs: https://developers.zoom.us/docs/rivet/ https://developers.zoom.us/docs/rivet/javascript/ https://zoom.github.io/rivet-javascript/ Reference samples: htt...
|
2K |
| 8434 | clojure-review | metabase/metabase |
Clojure Code Review Skill @./../_shared/clojure-style-guide.md @./../_shared/clojure-commands.md Review guidelines What to flag: Check compliance with the Metabase Clojure style guide (included above) If CLOJURE_STYLE_GUIDE.adoc exists in the working directory, also check compliance with the community Clojure style guide Flag all style guide violations What NOT to post: Do not post comments congratulating someone for trivial changes or for following style guidelines Do not post comments co...
|
2K |
| 8435 | micro-interaction-spec | owl-listener/designer-skills |
Micro-Interaction Spec You are an expert in designing micro-interactions that make interfaces feel alive and intuitive. What You Do You specify micro-interactions using a structured framework covering trigger, rules, feedback, and loops. Micro-Interaction Framework 1. Trigger What initiates the interaction: user action (click, hover, swipe), system event (notification, completion), or conditional (time-based, threshold). 2. Rules What happens once triggered: the logic and sequence of the interac...
|
2K |
| 8436 | wireframe-spec | owl-listener/designer-skills |
Wireframe Spec You are an expert in creating annotated wireframe specifications. What You Do You specify wireframe layouts defining content priority, component placement, behavior annotations, and responsive considerations. Wireframe Components Content Blocks Headers and navigation Hero/feature areas Content sections (text, media, cards) Forms and input areas Footers and secondary navigation Annotations Content priority numbers (what loads/appears first) Interaction notes (what happens on click/...
|
2K |
| 8437 | options-analytics-agent-langgraph | reason-machines/data-skills |
Options Analytics Agent with LangGraph Skill by ara.so — Data Skills collection. A sophisticated LangGraph-based agent that automates financial options analysis with real-time data from Polygon.io, smart caching via ChromaDB, persistent memory, and professional-grade analysis. Built for creating intelligent trading assistants with RAG capabilities and microservice architecture. What It Does This project provides a complete AI agent system for: Real-time options data retrieval from Polygon.io wit...
|
2K |
| 8438 | data-engineering-medallion-pipeline | reason-machines/data-skills |
Data Engineering Medallion Pipeline Skill Skill by ara.so — Data Skills collection. This skill enables AI agents to work with a complete data engineering pipeline implementing the Medallion Architecture (Bronze → Silver → Gold) using modern open-source tools: MinIO (S3-compatible storage), Airbyte (data ingestion), PostgreSQL (data warehouse), DBT (transformations), Apache Airflow (orchestration), and Grafana (monitoring). What This Project Does The data-engineering-medallion project provides a ...
|
2K |
| 8439 | analytics-tracking-automation | reason-machines/data-skills |
Analytics Tracking Automation Skill by ara.so — Data Skills collection. This skill enables AI agents to plan, implement, and deploy GA4 + GTM tracking setups. It automates site analysis, page grouping, event schema design, GTM container synchronization, preview verification, and publishing—supporting both generic websites and Shopify storefronts. What This Skill Does The analytics-tracking-automation project provides a local-first workflow that: Analyzes a website by crawling pages and identifyi...
|
2K |
| 8440 | altimate-data-engineering-skills | reason-machines/data-skills |
Altimate Data Engineering Skills Skill by ara.so — Data Skills collection. Altimate Data Engineering Skills is a collection of Claude Code skills that encode the workflows and best practices of experienced analytics engineers. These skills transform Claude from a code generator into a capable data engineering assistant by teaching how to approach tasks , not just what syntax to use. The project demonstrates 53% accuracy on ADE-bench (43 real-world dbt tasks), 3x improvement on model creation tas...
|
2K |
| 8441 | data-engineering-study-material | reason-machines/data-skills |
Data Engineering Study Material Skill by ara.so — Data Skills collection. Overview This project is a comprehensive study guide and reference repository for data engineering concepts, tools, and practices. It serves as a centralized resource for learning core data engineering principles, understanding modern data stack components, and preparing for data engineering roles. The repository covers: Data engineering fundamentals and architecture patterns ETL/ELT pipeline design and implementation Data...
|
2K |
| 8442 | enterprise-data-engineering-pipeline-ssis-pyspark | reason-machines/data-skills |
Enterprise Data Engineering Pipeline (SSIS + PySpark) Skill by ara.so — Data Skills collection. Overview This project provides a complete enterprise data engineering solution that combines: SSIS (SQL Server Integration Services) for ETL orchestration SQL Server with Star Schema data warehouse design (fact and dimension tables) Python (Pandas) for data quality audits and visualization PySpark for big data analytics and aggregation The pipeline ingests raw CSV files (Sales, Products, Customers), t...
|
2K |
| 8443 | amee-joshi-data-engineering-portfolio | reason-machines/data-skills |
Amee Joshi Data Engineering Portfolio Skill by ara.so — Data Skills collection. This portfolio showcases production-grade data engineering patterns and architectures for building scalable, cloud-native data platforms. It demonstrates end-to-end solutions covering data ingestion, transformation, modeling, and analytics using Azure services, Databricks, SQL Server, and BI tools. What This Portfolio Demonstrates This is a reference collection showing: Medallion Architecture (Bronze-Silver-Gold) imp...
|
2K |
| 8444 | realtime-cinema-data-engineering-pipeline | reason-machines/data-skills |
CinéWorld Real-Time Data Engineering Pipeline Skill Skill by ara.so — Data Skills collection. Overview This project implements an end-to-end real-time data engineering pipeline using Apache Kafka for event streaming, PostgreSQL for data warehousing with Medallion Architecture (Bronze/Silver/Gold layers), Apache Airflow for ELT orchestration, and Streamlit for live visualization. Perfect for learning how to build production-grade streaming data pipelines that process 1M+ events. Installation Prer...
|
2K |
| 8445 | harvard-art-museums-data-pipeline | reason-machines/data-skills |
Harvard Art Museums Data Pipeline Skill Skill by ara.so — Data Skills collection. Overview This project provides a complete data engineering and analytics solution using the Harvard Art Museums API. It demonstrates real-world ETL pipelines, SQL database design, analytical queries, and interactive Streamlit dashboards with Plotly visualizations. Architecture: API → ETL → SQL → Analytics → Visualization Key capabilities: Extract artifact data from Harvard Art Museums API with pagination Transform ...
|
2K |
| 8446 | harvard-artifacts-etl-analytics | reason-machines/data-skills |
Harvard Artifacts ETL Analytics Skill Skill by ara.so — Data Skills collection. This skill enables AI agents to help developers build end-to-end data engineering and analytics applications using the Harvard Art Museums API. It covers ETL pipeline design, SQL database schema creation, batch data processing, analytical query implementation, and interactive visualization with Streamlit. What This Project Does The Harvard Artifacts Collection app demonstrates a complete data engineering workflow: Ex...
|
2K |
| 8447 | harvard-art-museums-etl-analytics | reason-machines/data-skills |
Harvard Art Museums ETL Analytics Skill Skill by ara.so — Data Skills collection Overview This project provides an end-to-end data engineering solution for collecting, processing, and analyzing Harvard Art Museums artifact data. It demonstrates production-grade ETL pipelines, SQL database design, and interactive analytics dashboards using Streamlit. Architecture Flow: API → ETL → SQL → Analytics → Visualization Installation Clone the repository git clone https://github.com/Manali0711/Harvard-Ar...
|
2K |
| 8448 | harvard-art-museum-etl-analytics | reason-machines/data-skills |
Harvard Art Museum ETL Analytics Skill Skill by ara.so — Data Skills collection. This skill enables AI agents to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. It covers ETL pipeline development, SQL database design, analytical queries, and interactive visualization with Streamlit. What This Project Does The Harvard Artifacts Collection Data Engineering Analytics App demonstrates: API Integration : Fetch artifact metadata from Harvard Art Museums ...
|
2K |
| 8449 | harvard-artifacts-data-engineering-pipeline | reason-machines/data-skills |
Harvard Artifacts Data Engineering Pipeline Skill by ara.so — Data Skills collection. This project demonstrates a production-grade ETL pipeline that extracts artifact data from the Harvard Art Museums API, transforms it into relational tables, loads it into SQL databases (MySQL/TiDB), and provides interactive analytics dashboards using Streamlit. What This Project Does The Harvard Artifacts Collection app provides: API Integration : Paginated data collection from Harvard Art Museums API with rat...
|
2K |
| 8450 | harvard-artifacts-data-engineering-analytics | reason-machines/data-skills |
Harvard Artifacts Data Engineering Analytics Skill Skill by ara.so — Data Skills collection. This skill enables AI coding agents to build end-to-end data engineering and analytics applications using the Harvard Art Museums API. The project demonstrates ETL pipeline development, SQL database design, analytical query execution, and interactive visualization using Streamlit. What This Project Does The Harvard Artifacts Collection application: Extracts artifact data from the Harvard Art Museums API ...
|
2K |