Claude Skills by majiayu000

Add items (research objects) to existing research outline.

Use after 2 consecutive failed attempts at solving a problem - STOP guessing and research documentation, codebase, and online resources before resuming

Multi-source parallel research with confidence-based synthesis.

Comprehensive research skill using Zai MCP web search and native Claude Code tools

Research prediction markets - base rates, resolution rules, historical data

Research and compare the Stateless Agent Methodology (SAM) against other methodologies using only verifiable reference material. Produce overlap/divergence analysis that is useful for comparing strategy, methodologies, and potential implementations, and for identifying weaknesses in the current SAM methodology while changes are still cheap. Creates structured comparison documents following the SAM comparison template, including terminology normalization + attribution notes.

Research external topics, create comprehensive analysis, determine project

Research external topics, create comprehensive analysis, determine project

Fetch and summarize authoritative external sources into actionable guidance using MCP helpers. EXCLUSIVE to researcher agent.

Search academic papers, find citations, and explore research using Semantic Scholar. Use when user asks about scientific papers, research, citations, or academic topics.

Conduct structured research with sourced summaries, confidence ratings, and hierarchical findings.

Multi-source research across code, discourse, and academic channels.

Gather facts and context from codebase, docs, and web,... Use when exploring patterns, finding implementations, looking up documentation, or researching before decisions.

Use this skill when you need to research and gather external best practices, documentation, and examples for any technology, framework, or development practice. This includes finding official documentation, community standards, well-regarded examples from open source projects, and domain-specific conventions. The agent excels at synthesizing information from multiple sources to provide comprehensive guidance on how to implement features or solve problems according to industry standards.

Comprehensive research, analysis, and content extraction system. Multi-source parallel research using available researcher agents. Deep content analysis with extended thinking. Intelligent retrieval for difficult sites. Fabric pattern selection for 242+ specialized prompts. USE WHEN user says 'do research', 'extract wisdom', 'analyze content', 'find information about', or requests web/content research.

Senior Blockchain Architect research agent using Zai MCP for comprehensive analysis of EVM chains, perpetual DEX architectures, CEX integrations, and DeFi-TradFi bridges. Use for: blockchain research, protocol comparisons, technical feasibility studies, security audits, compliance analysis, architecture blueprints. Triggers: /research-blockchain, 'blockchain research', protocol comparisons.

Explore and write findings.

Deep codebase exploration with multi-angle analysis for Codex agents. Output: .agents/research/*.md. Triggers: "research", "investigate", "explore codebase", "how does X work".

Explore and write findings.

基于 Reddit API 进行深度调研并生成研究报告。支持搜索、获取帖子、评论分析、情感分析等功能

Caches research findings to avoid redundant web searches. Stores best practices by topic with sources and dates. Use before researching to check existing knowledge.

Document codebase as-is with thoughts directory for historical context

Document codebase as-is with thoughts directory for historical context

Multi-source research orchestration. Chains deepwiki, submodules, WebSearch, and codebase search. Defines when to escalate and how to synthesize findings.

調査→論点整理→出典付きレポート化。ユーザーが「調べて」「比較して」「根拠/出典付きで」等を求めたら使う。

Use when the user asks to research, investigate, compare approaches, or explore a topic in depth. Supports configurable depth and multi-source synthesis.

Structured investigation of unfamiliar codebases

Document and explain existing codebase without suggesting improvements. Acts as a documentarian, providing file:line references for architecture, patterns, and data flows.

Document and explain existing codebase without suggesting improvements. Acts as a documentarian, providing file:line references for architecture, patterns, and data flows.

Research a task, problem, bug, or feature by exploring the codebase. Use when starting new work, encountering bugs, or needing to understand how existing implementation relates to a task. Triggers on "research", "investigate", "look into", or requests to understand implementation before making changes.

#1 on DeepResearch Bench (Feb 2026). Deep research agent powered by CellCog. Market research, competitive analysis, stock analysis, investment research, academic research with citations.

Lightweight parallel research orchestration without full council debate. Spawns oracle agents with different queries, collects findings, synthesizes report.

Create a research plan with parallel investigation tasks. Use when exploring a topic, analyzing external code, or gathering information to inform an implementation plan.

Add new resources to the research directory with comprehensive documentation. Use when user provides a URL, repository, or tool to research and document for future reference. Triggers on phrases like "add to research", "document this tool", "research this", or when given URLs to novel agentic development resources.

Gather external context on a topic. Use when you need industry trends, best practices, evidence base, and recent developments before analysis.

Comprehensive multi-source research with academic depth. Searches web, social platforms, news, academic databases, and GitHub. Discovers papers, datasets, and open source implementations. Use when conducting research, literature reviews, or investigating any topic.

When user says "research" (in any form), ALWAYS invoke this skill.

When user says "research" (in any form), ALWAYS invoke this skill.

Before executing, check for user customizations at:

Before executing, check for user customizations at:

Read research outline, launch independent agent for each item for deep research. Disable task output.

读取调研outline，为每个item启动独立agent进行深度调研。禁用task output。

读取调研outline，为每个item启动独立agent进行深度调研。禁用task output。

Research topics and document findings in Notion with organized structure and sources

Research topics and document findings in Notion with organized structure and sources

[Planning] Use when you need to research, analyze, and plan technical solutions that are scalable, secure, and maintainable. For implementation planning, see also `planning` skill.

Autonomous research pipeline — topic to structured documents with HTML/PDF output. Proven at HEL (28 docs, 91K words) and OOPS (9 docs, 20K words) scale.

Research Engineer for initial investigation, data gathering, and feasibility studies. Use this skill when exploring new technologies, analyzing existing systems, or gathering requirements data.

An uncompromising Academic Research Engineer. Operates with absolute scientific rigor, objective criticism, and zero flair. Focuses on theoretical correctness, formal verification, and optimal implementation across any required technology.

Evaluate a research source from report_notes, understand its purpose, and create a Linear issue.