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Agent Skills 排行榜 · 关键词 + 语义搜索
| # | Skill | 仓库 | 描述 | 安装量 |
|---|---|---|---|---|
| 8301 | 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...
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| 8302 | 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...
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| 8303 | 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 ...
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| 8304 | 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...
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| 8305 | 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...
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| 8306 | 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 @...
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| 8307 | 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 ...
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| 8308 | 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...
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| 8309 | 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...
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| 8310 | 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 ...
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| 8311 | 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...
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| 8312 | 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...
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| 8313 | paper-lookup | k-dense-ai/scientific-agent-skills |
Paper Lookup You have access to 10 academic paper databases through their REST APIs. Your job is to figure out which database(s) best serve the user's query, call them, and return the results. Core Workflow Understand the query -- What is the user looking for? A specific paper by DOI? Papers on a topic? An author's publications? Open access PDFs? Full text? This determines which database(s) to hit. Select database(s) -- Use the database selection guide below. Many queries benefit from hitting mu...
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| 8314 | 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...
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| 8315 | 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/...
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| 8316 | 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...
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| 8317 | 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 ...
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| 8318 | 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...
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| 8319 | 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...
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| 8320 | 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...
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| 8321 | 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...
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| 8322 | 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...
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| 8323 | 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...
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| 8324 | 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 ...
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| 8325 | 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...
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| 8326 | 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...
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| 8327 | 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 ...
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| 8328 | 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...
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| 8329 | 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 ...
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| 8330 | harvard-art-museum-data-pipeline | reason-machines/data-skills |
Harvard Art Museum Data Pipeline Skill by ara.so — Data Skills collection. This project provides an end-to-end data engineering solution for collecting, transforming, storing, and analyzing artifact data from the Harvard Art Museums API. It demonstrates production-ready ETL pipelines, SQL analytics, and interactive visualization using Streamlit. What It Does The Harvard Art Museum Data Pipeline: Extracts artifact data from the Harvard Art Museums API with pagination and rate limiting Transforms ...
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| 8331 | harvard-artifacts-data-engineering-app | reason-machines/data-skills |
Harvard Artifacts Data Engineering App Skill by ara.so — Data Skills collection. This project demonstrates end-to-end data engineering using the Harvard Art Museums API. It extracts artifact data, transforms it into relational tables, loads it into SQL databases (MySQL/TiDB), and provides interactive analytics through Streamlit dashboards with Plotly visualizations. What It Does API Integration : Fetches paginated artifact data from Harvard Art Museums API ETL Pipeline : Transforms nested JSON i...
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| 8332 | analytics-events | metabase/metabase |
Frontend Analytics Events Skill This skill helps you add product analytics (Snowplow) events to track user interactions in the Metabase frontend codebase. Quick Reference Analytics events in Metabase use Snowplow with typed event schemas. All events must be defined in TypeScript types before use. Key Files: frontend/src/metabase-types/analytics/event.ts - Event type definitions frontend/src/metabase-types/analytics/schema.ts - Schema registry frontend/src/metabase/lib/analytics.ts - Core tr...
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| 8333 | thermos | cursor/plugins |
Thermos Run the two thermo review passes as async background subagents in parallel, then synthesize their results. Workflow Determine the review scope from the user request, PR, current branch, or relevant changed files. Gather the diff and any file/context excerpts needed for reviewers to evaluate the change without guessing. Launch both subagents in the same message with run_in_background: true : subagent_type: "thermo-nuclear-review-subagent" for bugs, breakages, security, devex regressions, ...
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| 8334 | citation-management | k-dense-ai/scientific-agent-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...
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| 8335 | add-malli-schemas | metabase/metabase |
Add Malli Schemas to API Endpoints This skill helps you efficiently and uniformly add Malli schemas to API endpoints in the Metabase codebase. Reference Files (Best Examples) src/metabase/warehouses/api.clj - Most comprehensive schemas, custom error messages src/metabase/api_keys/api.clj - Excellent response schemas src/metabase/collections/api.clj - Great named schema patterns src/metabase/timeline/api/timeline.clj - Clean, simple examples Quick Checklist When adding Malli schemas to an endp...
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| 8336 | ensembl-database | google-deepmind/science-skills |
Ensembl Database: ID Mapping and Genomic Features Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://useast.ensembl.org/index.html and https://github.com/Ensembl/ensembl-rest/wiki , then (2) create the file recording the notification text and timestamp. Overview The Ensembl data...
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| 8337 | state-machine | owl-listener/designer-skills |
State Machine You are an expert in modeling complex UI behavior as finite state machines. What You Do You model UI components and flows as state machines to eliminate impossible states and make behavior predictable. State Machine Components States : Distinct modes the UI can be in (idle, loading, success, error) Events : Things that cause transitions (click, submit, timeout, response) Transitions : Rules for moving between states (on event X in state A, go to state B) Actions : Side effects duri...
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| 8338 | gsap-performance | nexu-io/open-design |
GSAP Performance When to Use This Skill Apply when optimizing GSAP animations for smooth 60fps, reducing layout/paint cost, or when the user asks about performance, jank, or best practices for fast animations.
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| 8339 | protein-sequence-similarity-search | google-deepmind/science-skills |
Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://www.ebi.ac.uk/jdispatcher/sss/ncbiblast and https://colabfold.com , then (2) create the file recording the notification text and timestamp. .env file : Make sure the .env file exists in your home directory. Create one if it does...
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| 8340 | human-protein-atlas-database | google-deepmind/science-skills |
Human Protein Atlas (HPA) Database Integration This skill provides semi-quantitative protein expression and spatial localisation data from the Human Protein Atlas (HPA). While RNA-seq (e.g., GTEx) tells us if a gene is being transcribed, HPA confirms if the protein product actually exists, where it is located within the cell (e.g. nucleus vs cytoplasm), and its concentration in systemic blood circulation. The data is based on Immunohistochemistry (IHC) across normal human tissues and cancer type...
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| 8341 | protein-sequence-msa | google-deepmind/science-skills |
Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://www.ebi.ac.uk/jdispatcher/msa/clustalo and https://www.ebi.ac.uk/about/terms-of-use/ , then (2) create the file recording the notification text and timestamp. .env file : Make sure the .env file exists in your home directory. Cr...
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| 8342 | opentargets-database | google-deepmind/science-skills |
Open Targets Database Skill Overview This skill provides access to the Open Targets Platform GraphQL API. It aggregates multi-modal evidence from genetics (GWAS/eQTL), pathways, animal models, and clinical trials to rank target-disease associations and identify druggable genes. Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) promine...
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| 8343 | 12-principles-of-animation | raphaelsalaja/skill |
12 Principles of Animation Review animation code for compliance with Disney's 12 principles adapted for web interfaces. How It Works Read the specified files (or prompt user for files/pattern) Check against all rules below Output findings in file:line format Rule Categories Priority Category Prefix 1 Timing timing- 2 Easing easing- 3 Physics physics- 4 Staging staging- Show more Installs 519 Repository raphaelsalaja/skill GitHub Stars 20 First Seen Apr 3, 2026 Security Audits Gen Agent Trust Hub...
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| 8344 | gsap-frameworks | nexu-io/open-design |
GSAP with Vue, Svelte, and Other Frameworks When to Use This Skill Apply when writing or reviewing GSAP code in Vue (or Nuxt), Svelte (or SvelteKit), or other component frameworks that use a lifecycle (mounted/unmounted). For React specifically, use gsap-react (useGSAP hook, gsap.context()).
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| 8345 | huggingface-papers | huggingface/skills |
Hugging Face Paper Pages Hugging Face Paper pages (hf.co/papers) is a platform built on top of arXiv (arxiv.org), specifically for research papers in the field of artificial intelligence (AI) and computer science. Hugging Face users can submit their paper at hf.co/papers/submit, which features it on the Daily Papers feed (hf.co/papers). Each day, users can upvote papers and comment on papers. Each paper page allows authors to: claim their paper (by clicking their name on the authors field). This...
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| 8346 | dbsnp-database | google-deepmind/science-skills |
dbSNP Database Integration Prerequisites Show more Installs 426 Repository google-deepmind…e-skills GitHub Stars 1.2K First Seen May 19, 2026 Security Audits Gen Agent Trust Hub Pass Socket Pass Snyk Pass
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| 8347 | reactome-database | google-deepmind/science-skills |
Reactome Analysis & Content Service Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://reactome.org/license and https://reactome.org/cite , then (2) create the file recording the notification text and timestamp. Overview Reactome is a free, open-source, curated pathway database....
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| 8348 | string-database | google-deepmind/science-skills |
STRING Database Skill This skill allows you to query the STRING database programmatically using a bundled Python CLI wrapper. Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://string-db.org/cgi/access , then (2) create the file recording the notification text and timestamp. Cor...
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| 8349 | interpro-database | google-deepmind/science-skills |
InterPro Database Access Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://www.ebi.ac.uk/interpro/ and https://www.ebi.ac.uk/about/terms-of-use/ , then (2) create the file recording the notification text and timestamp. Overview InterPro combines signatures from multiple, divers...
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| 8350 | embl-ebi-ols | google-deepmind/science-skills |
EMBL-EBI Ontology Lookup Service (OLS) Prerequisites uv : Read the uv skill and follow its Setup instructions to ensure uv is installed and on PATH. User Notification : If LICENSE_NOTIFICATION.txt does not already exist in this skill directory then (1) prominently notify the user to check the terms at https://www.ebi.ac.uk/ols4/api-docs , then (2) create the file recording the notification text and timestamp. Core Rules [!IMPORTANT] Use the Utility Scripts : You MUST ALWAYS use the provided util...
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