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Found 7,090 Skills
OCR skill using PaddleOCR model via SiliconFlow API. This skill should be used when the user asks to "recognize text from an image", "extract text from a photo", "OCR this image", "read text from screenshot", or mentions "PaddleOCR", "image text recognition", "text extraction from images".
Deep travel research workflow for museums and ancient architecture. Input a city name to automatically generate a structured knowledge document (org-mode) and portable reference cards (PNG). It covers historical background, museum highlights, archaeological significance, and architectural heritage. This workflow is activated when users say '旅行研究', '博物馆功课', '古建功课', 'travel research', '出发前功课', or provide a city name with the intention of conducting in-depth cultural travel preparation.
This skill initializes new software projects through a structured discovery, research, and documentation workflow. It should be used when the user wants to create/initialize a new project, start a new app, scaffold a new codebase, or plan a new software product. Triggered by requests like 'create a new project', 'initialize a new app', 'start a new project for X', 'I want to build X'. The skill does NOT generate code — it produces a project directory with comprehensive documentation (SPEC.md, STYLES.md, ROADMAP.md) that serves as the blueprint for implementation.
Execute sensitive browser actions (login, payments, form filling) outside the core agent loop using a dedicated CLI tool. Use when Claude needs to handle credentials, payment information, or other sensitive data in browser automation workflows. Triggers when users ask to log into websites, fill payment forms, or perform authenticated browser actions where sensitive data must be kept secure and separate from the main agent context.
Expert guide for using n8n-mcp MCP tools effectively. Use when searching for nodes, validating configurations, accessing templates, managing workflows, or using any n8n-mcp tool. Provides tool selection guidance, parameter formats, and common patterns.
Autonomous AI agent platform for building and deploying continuous agents. Use when creating visual workflow agents, deploying persistent autonomous agents, or building complex multi-step AI automation systems.
Primary Python tool for 40+ bioinformatics services. Preferred for multi-database workflows: UniProt, KEGG, ChEMBL, PubChem, Reactome, QuickGO. Unified API for queries, ID mapping, pathway analysis. For direct REST control, use individual database skills (uniprot-database, kegg-database).
Benchling R&D platform integration. Access registry (DNA, proteins), inventory, ELN entries, workflows via API, build Benchling Apps, query Data Warehouse, for lab data management automation.
Test-driven development workflow with test generation, coverage analysis, and multi-framework support
Direct REST API access to UniProt. Protein searches, FASTA retrieval, ID mapping, Swiss-Prot/TrEMBL. For Python workflows with multiple databases, prefer bioservices (unified interface to 40+ services). Use this for direct HTTP/REST work or UniProt-specific control.
Initialize and configure Astro/Airflow projects. Use when the user wants to create a new project, set up dependencies, configure connections/variables, or understand project structure. For running the local environment, see managing-astro-local-env.
Trigger.dev expert for background jobs, AI workflows, and reliable async execution with excellent developer experience and TypeScript-first design. Use when: trigger.dev, trigger dev, background task, ai background job, long running task.