productivity▌
6,493 indexed skills · max 10 per page
databases
mrgoonie/claudekit-skills · Productivity
Unified guide for working with MongoDB (document-oriented) and PostgreSQL (relational) databases. Choose the right database for your use case and master both systems.
flutter-control-and-screenshot
rodydavis/skills · Productivity
This skill outlines the process of adding flutter_driver support to a Flutter application, launching it via the Dart MCP server, controlling it (tapping, finding widgets), and capturing screenshots (handling Web/Desktop specific constraints).
xero
membranedev/application-skills · Productivity
Xero is a cloud-based accounting software platform. It's primarily used by small businesses and their accountants to manage bookkeeping, invoicing, payroll, and other financial tasks.
web-asset-generator
alonw0/web-asset-generator · Productivity
Generate professional web assets from logos or text slogans, including favicons, app icons, and social media meta images.
code-reviewer
charon-fan/agent-playbook · Productivity
A comprehensive code review skill that analyzes pull requests and code changes for quality, security, maintainability, and best practices.
rebranding-strategy
kostja94/marketing-skills · Productivity
Guides rebranding execution: domain change, 301 redirects, migration checklist, and communication (social media, internal). Plan for months, not days or weeks. See domain-selection for initial domain choice; domain-architecture for domain structure decisions; multi-domain-brand-seo when multiple domains coexist.
compound-learnings
parcadei/continuous-claude-v3 · Productivity
Transform ephemeral session learnings into permanent, compounding capabilities.
repo-research-analyst
parcadei/continuous-claude-v3 · Productivity
repo-research-analyst
mcp:setup-codemap-cli
neolabhq/context-engineering-kit · Productivity
User Input:
torchdrug
davila7/claude-code-templates · Productivity
TorchDrug is a comprehensive PyTorch-based machine learning toolbox for drug discovery and molecular science. Apply graph neural networks, pre-trained models, and task definitions to molecules, proteins, and biological knowledge graphs, including molecular property prediction, protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis planning, with 40+ curated datasets and 20+ model architectures.