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moai-workflow-jit-docs
This skill loads relevant technical documentation on-demand by analyzing user intent and project context. It searches local files, official docs via WebFetch, and web resources, then caches results. It's triggered by technical questions, framework mentions, or implementation requests, aiming to fill knowledge gaps during development tasks.
refactoring-specialist
A comprehensive refactoring specialist skill with extensive methodology, structured workflow, and integration with multiple code analysis tools for systematic code improvement.
deployment-rollback
Provides concrete rollback procedures for SST deployments with specific commands for AWS Lambda, database migrations, and Next.js. Includes practical scenarios like critical bug fixes and database failures, plus automated rollback workflows with health checks.
gemini-blog
Configure or debug LLM blog post generation using Vercel AI SDK and Google Gemini. Use when updating blog generation prompts, fixing AI integration issues, or modifying content generation logic.
sst-deployment
Configures and deploys AWS infrastructure using SST v3, handling Lambda functions, API routes, environment variables, custom domains, and multi-stage environments. Provides concrete examples for API and Next.js deployments with stage-specific configurations.
git-advanced-workflows
A comprehensive and expertly crafted guide to advanced Git workflows that provides clear instructions, practical examples, and essential recovery techniques for professional developers.
write-pr
This skill provides structured guidance for writing pull requests in the tldraw repository. It enforces Conventional Commits format for titles and includes templates for PR bodies with specific sections for change types, test plans, and release notes. The instructions are clear about when to use the skill and what content to include or avoid.
Inversion Exercise
This skill guides users through systematically inverting core assumptions to reveal hidden constraints and alternative approaches. It provides concrete examples like adding latency for debouncing or removing features for simplicity. The structured process helps break mental blocks when stuck on 'the only way' to solve problems.
moai-platform-vercel
Provides detailed guidance for deploying Next.js applications on Vercel, covering edge functions, ISR caching, storage solutions, and GitHub Actions integration. Includes practical code examples for common deployment scenarios and optimization techniques.
moai-tool-ast-grep
Integrates ast-grep for structural code search and transformation across 40+ languages. Enables pattern-based refactoring, security vulnerability detection, and linting using AST-aware rules. Provides concrete examples for Python, JavaScript, Go, Rust, and Java with ready-to-use security scanning configurations.
moai-lang-scala
Provides targeted guidance for Scala 3.4+ development with focus on Akka, Cats Effect, ZIO, and Spark. Includes example setups for SBT builds, practical patterns for effect systems, and integration with specific library documentation. The modular organization by framework helps narrow down relevant information quickly.
moai-platform-railway
Provides detailed guidance for deploying containerized applications on Railway, covering Docker configuration, multi-service setups, persistent storage, and auto-scaling. Includes concrete examples for Node.js, Python, and Go deployments with practical CLI commands and configuration templates.
moai-lang-elixir
Specialized assistant for Elixir 1.17+ development with comprehensive coverage of Phoenix 1.7, LiveView, Ecto, and OTP patterns. Provides ready-to-use code examples for controllers, schemas, GenServers, and deployment configurations. Includes practical patterns for real-time applications and distributed systems.
moai-formats-data
Provides TOON encoding for 40-60% token reduction in LLM communication, fast JSON/YAML processing with orjson, and schema validation. Includes format conversion utilities and anti-pattern guidance for large dataset handling.
moai-tool-opencode
Provides detailed reference documentation for OpenCode.ai, covering installation, configuration, TUI usage, CLI commands, IDE integration, and custom tool development. Includes 32 documentation modules with practical examples and configuration snippets.
moai-workflow-jit-docs
A workflow skill that loads documentation on-demand based on user intent and project context. It detects technology keywords, searches multiple sources (local files, official docs, web), and caches results. Useful when users ask specific technical questions or need implementation guidance.
seo
Comprehensive SEO optimization covering traditional search (Google/Bing), answer engines (ChatGPT, Perplexity, AI Overviews), and agent/LLM accessibility (llms.txt, semantic HTML, structured data). Use for SEO audits, content discoverability, meta tags, structured data, llms.txt creation, citation optimization, Reddit/YouTube strategies, or programmatic SEO. Triggers include "SEO audit", "AEO", "optimize for ChatGPT", "citation optimization", "Reddit SEO strategy", "YouTube SEO", "llms.txt", "programmatic SEO", "answer engine optimization", or explicit "/seo".
excalidraw
This skill analyzes codebases to generate Excalidraw architecture diagrams. It provides detailed rules for JSON formatting, arrow placement, and shape labeling to ensure valid output. The skill includes validation logic and troubleshooting guides for common diagram generation issues.
finishing-a-development-branch
This skill provides a structured workflow for completing development branches with four clear options: merge locally, create PR, keep as-is, or discard. It enforces test verification before proceeding and handles worktree cleanup appropriately. The step-by-step process includes specific git commands and confirmation prompts for destructive actions.
production-deployment-phase
Executes production deployment workflow by promoting validated staging builds to production with semantic versioning, health checks, and release tagging. Use when running /ship-prod command, deploying to production after staging validation, or promoting staging builds to production environment.
moai-foundation-core
Provides a structured framework for AI-driven development with six core principles: TRUST 5 quality gates, SPEC-First TDD, agent delegation patterns, token budget management, progressive disclosure, and modular architecture. Includes concrete implementation guides, troubleshooting steps, and reference modules for building consistent workflows.
using-superpowers
This skill enforces mandatory workflows for AI agents to discover and use other skills before starting any task. It requires checking for relevant skills, announcing usage, and following skill instructions exactly. The skill prevents rationalization and skipping established processes.
error-detective
A specialized agent for investigating complex errors in distributed systems. It provides structured workflows for log correlation, pattern analysis, and root cause discovery using tools like Elasticsearch and Splunk. Focuses on connecting error symptoms across services to prevent cascading failures.
context_management
Proactive context window management via token monitoring, intelligent extraction, and selective rehydration. Use when approaching token limits or needing to preserve essential context. Complements /transcripts and PreCompact hook with proactive optimization.