Research

This skill should be used when the user asks to "debug notebook", "inspect notebook outputs", "find notebook error", "read traceback from ipynb", "why did notebook fail", or needs to understand runtime errors in executed Jupyter notebooks from any source (marimo, jupytext, papermill).

Search the web for up-to-date information using GPT-5.2 with web search and high reasoning. Prefer this over webfetch when you need to research complex queries, find current info across multiple sources, get recent news, up-to-date documentation, or verify facts that may have changed since your training cutoff. Returns cited sources.

Hybrid skill for OpenCode plugin development - behavioral patterns for agents and technical reference for humans

Sophisticated multi-agent AI research system that conducts comprehensive, academic-quality research on complex topics through orchestrated specialist agents. Use for deep research requiring academic, technical, and data-driven perspectives with quality assurance and comprehensive reporting.

Synthesize knowledge from multiple sources into Zettelkasten notes for Logseq. Use when creating wiki pages, integrating academic research, or building interconnected knowledge with [[links]] and

Perform comprehensive OSCAL validation using community-inspired patterns including JSON schema validation, business rule validation, cross-reference checking, and best practices from IBM Trestle, oscal-pydantic, and Lula. Use for thorough document quality assurance.

Guide agents through structured research including planning, multi-query execution, source analysis, and synthesis. Use for comprehensive topic research, deep investigation, or creating research reports. Keywords: research, investigate, deep dive, comprehensive, analysis, synthesis, report.

Hypothesis-driven debugging through observe, hypothesize, test, narrow. Use when something is wrong and you need to find why.

Generates a research-grade Product Requirements Document (PRD) defining problems, goals, scope, constraints, and success criteria. Use when creating or updating a PRD for a product or major initiative.

Analyze local codebase and scrape external documentation on demand

Real-time web search and research with AI-powered result synthesis

Use when user mentions bookmarks, knowledge management, notes, saving URLs, or taking screenshots - provides quick reference for km (Zettelkasten notes), bookmark (URL manager), and shot-scraper (automated website screenshots) CLI tools installed on this system

Demonstrates loading an external note during execution.

Generate comprehensive implementation plans with checkboxes, dependencies, and parallelization details. This skill should be used after feature research is complete to create structured, step-by-step implementation plans that track progress, identify dependencies between tasks, and enable multiple developers to work in parallel.

Google File Search API templates, configuration patterns, and usage examples for managed RAG with Gemini. Use when building File Search integrations, implementing RAG with Google AI, chunking documents, configuring grounding citations, or when user mentions Google File Search, Gemini RAG, document indexing, or semantic search.

Read and analyze academic papers from Zotero library. Use when the user requests to read, access, or analyze a paper by title, author, or topic from their Zotero library. Automatically searches Zotero, converts PDFs to markdown, saves to Notes/PaperInMarkdown, and provides analysis.

Generate two distinct, AI-powered image variations for advertising campaigns using Google Gemini's image generation capabilities. Use when creating visual assets for ads based on campaign parameters and research insights. Triggers on requests to generate ad images, create visual assets, produce image variations for A/B testing, or develop platform-specific ad visuals.

cc-plugins 프로젝트 개발 가이드라인, 레퍼런스 패턴, 프로젝트 구조 조회. Use when Claude needs to (1) Look up development principles (P1-P4, DRY, KISS, YAGNI, SOLID), (2) Find reference patterns for Hooks/Agents/Commands creation, (3) Understand project structure and file locations, (4) Learn how to create Skills/Hooks/Agents/Commands, or (5) Delegate to claude-code-guide for official Claude Code documentation

Context persistence system for long-running multi-agent tasks. Saves research plans, findings, and checkpoints to prevent context loss at token limits.

Turn experiment reports and notes into summaries and new/updated result skills.