Research

CRITICAL AUTOMATION: Automatically researches PROVEN medical mnemonics during study guide creation.ACTIVATES when creating study guides and mnemonics are mentioned. Launches the medical-mnemonic-researcheragent to find established USMLE mnemonics from medical education sources.NEVER invents mnemonics - only finds ones that already exist and are validated by medical students.

Comprehensive code review for security, performance, maintainability, and best practices with impact analysis and authoritative references

Automatically assist with Pandoc document conversions when user mentions converting markdown to PDF/DOCX/HTML or other formats. Validate YAML frontmatter, check dependencies (bibliography, images), and provide format-specific conversion guidance. Use when user asks about citations, academic papers, presentations, or document generation from markdown.

Complete feature development lifecycle from research to deployment. Uses Gemini Search for best practices, architecture design, Codex prototyping, comprehensive testing, and documentation generation. Full 12-stage workflow.

For complex problems where user context is insufficient, systematically elicit information through adaptive prompt patterns. Combines five complementary patterns (Flipped Interaction, Cognitive Verifier, Question Refinement, Reflection, Context Manager) to clarify requirements, verify understanding, and manage context dynamically.

Orchestrate experimental procedure generation from LA-Bench format input. This skill orchestrates file I/O and delegates procedure generation logic to experiment-procedure-generator subagent. Use this skill when you need to generate step-by-step experimental procedures with quantitative specifications and proper experimental design.

Guide for designing Instance resources in OptAIC. Use when creating DatasetInstance, SignalInstance, ExperimentInstance, ModelInstance, PortfolioOptimizerInstance, or BacktestInstance. Covers definition references, config patterns, composition, flow execution pairing, and scheduling.

Follow plan.md-driven development workflow with strict TDD discipline. Use when the user says "go", references plan.md, asks to proceed with next test or task, create implementation plan, or needs step-by-step test-driven development from a plan file. Enforces one test at a time with explicit user control.

Convert verified algorithmic research into structured, machine-readable frameworks describing how social media platforms rank, reward, and penalize content. Provides factual, updatable platform rules for strategy agents (social-media, content, brand) to reference when developing or evaluating strategic decisions. Use this skill when needing to extract algorithmic mechanics from research, create posting playbooks, or validate content strategies against current platform rules.

Frontend coding standards, component patterns, and design system for the Guessimate Angular UI. Reference when writing or reviewing frontend code.

ブログ記事に必要な情報を深くリサーチするエージェント。技術的なトピック、最新の情報、ベストプラクティス、関連する事例などを包括的に調査し、信頼性の高い情報を提供します。ブログ記事の執筆時に、詳細な情報や最新の情報が必要な場合に使用してください。

Also called "wr". Optional research agent for broad multi-source research without polluting context. Use when user requests it or when research needs depth across many sites.

Default Python stack for Lambda: uv + Astral tools, typed code, schemas, and Hypothesis.

Comprehensive research skill using Exa AI tools for web search and code context retrieval. Use when conducting research on technologies, finding code examples, discovering latest tools, or gathering comprehensive information on any topic. Combines web search for articles/news with code search for implementation examples.

MUST invoke before any design decisions or implementation planning.

Grist API reference documentation for the grist-mcp-server project. Use when implementing or modifying Grist MCP tools, working with Grist cell values, UserActions, column types, widget options, database schema, or pages/widgets. This skill provides authoritative API specifications.

Load when reviewing code, writing code examples, or ensuring code quality.Contains coding standards for Python, JavaScript, SQL, and general bestpractices for publication-quality code.

Automatically detects, installs, and configures Language Server Protocol (LSP) servers for enhanced code intelligence. Provides go-to-definition, find-references, hover docs, and symbol navigation.TRIGGERS - Keywords: lsp, language server, code intelligence, go to definition, find references, hover, symbols, diagnostics, autocomplete, intellisense, code navigation, jump to definition, find usages, type info.TRIGGERS - Phrases: "set up lsp", "install language server", "enable code intelligence", "configure lsp", "go to definition not working", "find references", "show type", "navigate to symbol", "code navigation".TRIGGERS - Automatic: After tech-detection completes, when opening new file types, when LSP operations fail.

This skill should be used when the user asks about "how to research", "research best practices", "evaluate sources", "source credibility", "academic research", "find reliable information", "cite sources", "research methodology", or needs guidance on conducting thorough web research and evaluating information quality.

Git-aware skill for finding implementation patterns and retrieving story context from git history. Use when searching for similar implementations or understanding how a feature was built. To use this skill, you must have a story ID (e.g., "US-001-auth-login-admin"). Use research-user-stories skill to find the story ID.