Browse published AI skills maintained by majesticlabs-dev. Compare skill descriptions and follow each source repository for setup instructions.
Indexed skills
200Repository stars across indexed skills
4,009Repository forks
602Average repository stars per indexed skill
20Repository stars may repeat across skills from the same repository.
Comprehensive SEO and GEO audit methodology covering technical SEO, on-page optimization, content quality, E-E-A-T signals, and AI citation readiness. Informed by Google's ranking pipeline architecture. Use for...
Analyze and optimize E-E-A-T signals (Experience, Expertise, Authority, Trust) for content credibility.
Copy-paste templates for cold outreach, guest posts, podcast pitches, and link building with follow-up sequences.
Generate attention-grabbing hooks from 5 investor archetype perspectives to find angles that resonate with different audience motivations.
Use when implementing Hotwire features with Turbo Drive, Turbo Frames, and Turbo Streams. Applies Rails 8 conventions, morphing, broadcasts, lazy loading, and real-time update patterns.
Check for relevant skills before starting any task. Triggers on task start, new requests, beginning work, or implementation.
Capture solved problems as categorized documentation with YAML frontmatter for fast lookup
Feature prioritization frameworks - RICE scoring, ICE scoring, and Opportunity Solution Trees.
Create compelling customer case studies for marketing. Guides through information gathering and produces polished case study documents.
Generate synthetic test data with edge cases for ETL pipeline testing.
Create persona × journey grids for AEO (Answer Engine Optimization) content strategy. Maps specific questions to buyer stages for AI citation optimization.
Incremental data loading patterns including backfill strategies, CDC, timestamp-based loads, and pipeline orchestration.
Pipeline report templates for weekly reviews, monthly analysis, and quality checklists.
Create SEO-optimized content that ranks AND reads like a human wrote it. Takes a target keyword/cluster and produces publication-ready articles. Includes AI-detection avoidance patterns and E-E-A-T signals.
Aggressive intellectual challenge for truth-seeking and growth. Identifies blind spots, challenges assumptions, and calls out avoidance patterns.
This skill guides configuring Litestream for continuous SQLite backup in Rails 8+ apps. Use when setting up production backups for SQLite databases (Solid Queue, Solid Cache, Solid Cable).
This skill guides provisioning Cloudflare infrastructure with OpenTofu/Terraform. Use when managing zones, DNS records, WAF rules, SSL settings, Page Rules, or cache configuration.
Transform long-form content into 15+ platform-ready assets. One article becomes threads, carousels, audiograms, video scripts, quizzes, discussion prompts, and more.
Analyze competitors, identify positioning weaknesses, and craft sharp differentiators with taglines and tweet-length pitches. Use when entering competitive markets or refining product positioning.
Data validation using Great Expectations. Expectation suites, checkpoints, and data docs for pipeline monitoring.
Assumption mapping and product hypothesis testing frameworks for validating product ideas.
Use proactively when refactoring Ruby on Rails code. Applies Rails conventions, Sandi Metz rules, and idiomatic Ruby patterns while maintaining test coverage.
Narrative templates for git history documentation. Used by /git:code-story command.
Use when creating or refactoring Stimulus controllers. Applies Hotwire conventions, controller design patterns, targets/values usage, action handling, and JavaScript best practices.
The default order uses GitHub repository stars from our indexed data. Stars belong to the source repository and may be shared by multiple skills. They indicate repository interest, not skill installs or an independent quality score.