etl-patterns
Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.
浏览 majesticlabs-dev 维护的已发布 AI 技能,比较用途与说明,并通过来源仓库了解安装方式。
已收录技能
200收录技能的仓库 Stars 合计
4,009仓库 Forks
602平均每个技能的仓库 Stars
20同一仓库中的多个技能可能共享 Stars,合计包含重复仓库数据。
Production ETL patterns orchestrator. Routes to core reliability patterns and incremental load strategies.
Use when executing implementation plans with independent tasks in the current session - dispatches fresh subagent for each task with code review between tasks, enabling fast iteration with quality gates
Implement business logic with ActiveInteraction and AASM state machines. Routes to specialized skills for typed operations and state management.
Discovery phase for blueprint workflow - interview triggers, acceptance criteria, and feature classification
Optimize review scores and leverage user-generated content for AI visibility and brand trust.
Help founders run companies using contrarian principles with real examples from successful founders. Challenge standard advice designed for professional managers. Use when facing strategic decisions, organizati...
This skill implements test-driven development workflow using the red-green-refactor cycle. Use when building new features or fixing bugs that require test coverage. Framework-agnostic methodology that works wit...
Create distinctive, production-grade frontend interfaces with high design quality. Use when building web components, pages, or applications. Includes framework-specific guidance for Tailwind, React, Vue, and Ra...
Systematically discover and define your Ideal Customer Profile with firmographic criteria, buyer personas, scoring matrices, anti-ICP signals, and validation methodology.
Design high-converting lead magnets and entry points with opt-in mechanisms, traffic strategies, and segmentation.
This skill guides writing DigitalOcean infrastructure with OpenTofu/Terraform. Use when provisioning Droplets, VPCs, Managed Databases, Firewalls, or other DO resources.
Write Ruby and Rails code in DHH's distinctive 37signals style. Use this skill when writing Ruby code, Rails applications, creating models, controllers, or any Ruby file. Triggers on Ruby/Rails code generation,...
Generate structured landing page copy OR audit existing pages for conversion optimization. Framework-agnostic - adapts approach based on awareness level and offer type.
Optimize content structure and framing for AI citation. Covers trust formats, extractability, and fact-density.
Manage git worktrees for parallel development. Use when the user wants to work on multiple branches simultaneously, create isolated environments for features/fixes, or clean up completed worktrees.
DataFrame schema validation using pandera. Schema definitions, column checks, and decorator-based validation.
Four common skill archetypes with structure templates - CLI reference, methodology, safety/security, and orchestration. Use when creating new skills to select appropriate structure.
Walk through decisions using a 3-part framework (first-principles, cost/benefit, second-order effects). Use when choosing between options, evaluating trade-offs, or making high-stakes decisions.
Forecast categories, weighted pipeline calculations, deal scoring models, and forecast accuracy metrics.
Validate skills against agentskills.io specification. Use when adding new skills to the marketplace, reviewing skill PRs, checking skill compliance, or running quality gates on skills. Validates frontmatter fie...
Use when applying Tailwind CSS styling to Rails views. Uses utility classes, responsive design patterns, and integrates with Rails view helpers.
Infrastructure simplicity scoring. Detects overengineering in Terraform/OpenTofu and Ansible configurations.
Create engaging newsletter editions with proven structures, subject lines, and content formats. Supports curator, educator, and thought leader archetypes for ongoing audience communication.
Post-documentation decision menu for fix-reporter. Routes to critical patterns, skill updates, cross-references, or discovery enablement.
默认按已收录数据中的 GitHub 仓库 Stars 排序。Stars 属于来源仓库,同一仓库的多个技能可能共享相同数值;它反映仓库关注度,不代表单个技能的安装量或质量评分。