deep-research

Researches a topic via web search and writes a cited Markdown memo in Japanese.

1|Updated Aug 24, 2026
One-click install
npx skills add https://github.com/mjun0812/skills --skill deep-research-mjun0812
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deep-research
Source: https://github.com/mjun0812/skills/tree/main/skills/research/deep-research
Command: npx skills add https://github.com/mjun0812/skills --skill deep-research-mjun0812

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes references (resource) components.

What problem does it solve? Turning a vague research question into a trustworthy, well-sourced document normally requires hours of searching, reading primary sources, and organizing citations. This Skill automates that workflow: it decomposes a theme into sub-questions, searches the web in both English and Japanese, verifies key claims against primary sources, and produces a single cited Markdown research memo. ## Core Features & Use Cases - Structured deep research: Decomposes a theme into 3-8 sub-questions, investigates each with parallel web searches, and enforces a quality gate (10+ sources across 5+ domains) before writing. - Citation-backed Japanese writing: Integrates model knowledge with search results, attaches [n] citations to key claims, prioritizes primary sources, and follows bundled Japanese technical-writing and anti-AI-slop style references. - Optional saving with assets: Presents the memo for review, then saves it as YYYY-MM-DD_<slug>.md with frontmatter, downloads referenced figures into images/, and validates citation links; --no-save returns the memo inline for use from other skills or non-interactive runs. - Use Case: Ask "deep research して: RAG の評価手法の最新動向" and receive a conclusion-first Japanese memo with numbered references, unresolved questions, and an optional dated file saved to the current directory. ## Quick Start Ask the agent to deep research a topic and write a cited memo, for example: 「LLMエージェントの評価手法について deep research してメモにして」.

Frequently Asked Questions about deep-research

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I run a deep research task with cited sources?▼

Invoke the skill with a research theme, and it decomposes the topic into 3-8 sub-questions, searches the web in English and Japanese, reads primary sources, and writes a Markdown memo where key claims carry [n] citations mapped to a reference list.

What output format does the deep research memo use?▼

The memo is a single Markdown document in Japanese with a conclusion-first structure, per-topic sections, an unresolved-questions section, and a numbered reference list. When saved, it becomes YYYY-MM-DD_<slug>.md with title, created, updated, and model frontmatter.

Can I use deep research from another skill or non-interactive run?▼

Yes, pass the --no-save argument. The skill then skips the save confirmation and file creation, returning the memo body directly as the response, which suits calls from other skills, agents, or claude -p style executions.

Does deep research work outside Claude Code?▼

Yes, the skill explicitly avoids depending on vendor-specific tools. It instructs the agent to use whatever web search and parallel execution mechanisms are available in the current environment.

What are the limitations of this research skill?▼

It only performs investigation and memo writing; it does not summarize, organize, or integrate the memo into other files. For narrow topics with few sources, it reports the scarcity rather than padding the source count.