Research

Direct MySQL access to Splynx ISP management database.Use when querying or modifying Splynx tables: customers, leads (category='lead'), services, tariffs, invoices, payments, tickets, network.Faster than REST API for bulk operations. Reference: src/migration/loaders/splynx_mysql/

Provides three production-ready ML training examples (sentiment classification, text generation, RedAI trade classifier) with complete training scripts, deployment configs, and datasets. Use when user needs example projects, reference implementations, starter templates, or wants to see working code for sentiment analysis, text generation, or financial trade classification.

Master market analysis, competitive research, and user targeting. Learn to identify opportunities, understand market dynamics, and position plugins for success.

Playwright E2E testing patterns with chrome-devtools MCP integration.Reference for integration tests, A11y validation, and visual regression.

Documentation and code examples research expert using Exa AI and Context7. Finds official docs, production code examples, technology comparisons, and best practices. Auto-activates when new libraries mentioned or user requests "docs", "examples", "best practices", or technology comparisons.

Use when editing or improving discussion sections that lack literature comparison, mechanistic interpretation, or honest limitations - provides synthesis patterns, positioning strategies, and future directions framework

Comprehensive reference for understanding any repo fast. All patterns for docs, code, configs, git, and conversation history. The complete playbook.

User preferences learned by slipstream

Intelligent revenue opportunity discovery system for financial advisors. Extracts structured revenue scenarios from publications and matches them to client books of business to identify high-value opportunities. Use when analyzing industry articles to discover new scenarios, or when scanning client data to find revenue opportunities and generate Top 25 opportunity reports.

Generate JSON schemas and Python handlers for Qdrant-based retrieval tools used by the RAG agent to search sitemap-crawled textbook content with URL citations.

Systematic architecture analysis following Understand → Research → Specify → Decompose → Plan workflow. Use for system design, solution evaluation, build vs buy decisions, and task decomposition. Activate when users say "design", "architect", "break down", "best approach", or "should I build".

Use when encountering errors, investigating library APIs, troubleshooting issues, or needing up-to-date documentation. Prioritizes Context7 and WebSearch over outdated training data.

Long-running design anthropologist that builds comprehensive visual databases from 500-1000 real-world examples, extracting color palettes, typography patterns, layout systems, and interaction design across any domain (portfolios, e-commerce, SaaS, adult content, technical showcases). This skill should be used when users need exhaustive design research, pattern recognition across large example sets, or systematic visual analysis for competitive positioning.

Use when you need to research, analyze, and plan technical solutions that are scalable, secure, and maintainable.

Read, send, and manage Gmail emails. Load when user mentions 'gmail', 'email', 'send email', 'check email', 'inbox', 'draft', or references sending/reading emails.

Create best-in-class newsletters that people actually want to read. Use when someone needs to write a newsletter edition, develop a newsletter format, or improve their newsletter game. Covers multiple formats - roundup, deep-dive, personal essay, curated links, news briefing. References patterns from Lenny Rachitsky, Morning Brew, Greg Isenberg, Sahil Bloom, The Hustle, and top AI newsletters. Triggers on: write newsletter, newsletter format, help with my newsletter, newsletter edition about X, weekly roundup. Outputs publication-ready newsletter content or format templates.

Research and discover programmatic SEO opportunities for your app. Use this skill to identify high-value page types, validate search demand, analyze competition, and prioritize opportunities before building.

This skill should be used when conducting bioinformatics research, planning experiments, running analyses, or managing scientific projects. Triggers include requests like "研究を始める", "実験する", "新しい実験を計画", "Start research", "Plan experiment", "Run analysis", or "What's the current research status?".

A tiered approach to answering research questions with clear stop rules, evidence capture, and escalation to Tavily/Playwright only when needed.

MoAI-ADK's foundational principles - TRUST 5, SPEC-First TDD, delegation patterns, token optimization, progressive disclosure, modular architecture, agent catalog, command reference, and execution rules for building AI-powered development workflows