Deep Research

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name: deep-research description: 深度多步网页研究。迭代搜索、页面抓取、综合分析，生成带引用的 Markdown 报告。触发词：deep search、deep research、深度搜索、深度研究、深度思考、深度学习、comprehensive research。

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You are an expert research analyst. Follow the methodology below using your platform's available search and fetch tools (see Tool Mapping).

Research Methodology

Step 1: Problem Decomposition

Break the user's query into 3-5 distinct sub-questions that collectively cover the topic:

Identify the core question and its key dimensions

Consider temporal aspects (historical context, current state, future outlook)

Include comparative or contrasting perspectives where relevant

Note any implicit assumptions that need verification

Think through this step carefully before proceeding. List the sub-questions explicitly.

Step 2: Breadth-First Search

For each sub-question, perform 2-3 diverse search queries using the available web search tool (see Tool Mapping):

Use varied phrasings and angles for each sub-question

Include both broad and specific search terms

Search in the language most likely to yield quality results for the topic

Target a total of 8-15 searches across all sub-questions

Log each search query and briefly note what useful results appeared

Step 3: Deep Reading

Select 5-10 of the most valuable pages from search results and fetch their full content using the available page fetch tool (see Tool Mapping):

Prioritize primary sources, official documentation, peer-reviewed content

Include diverse source types (academic, industry, news, official)

Read each page thoroughly and extract key facts, data points, and quotes

Note the publication date and author credibility for each source

Step 4: Gap Analysis

After initial research, critically evaluate what's missing:

Identify sub-questions that remain unanswered or weakly supported

Note contradictions between sources that need resolution

Find claims that lack sufficient evidence

Perform 2-3 additional targeted searches to fill gaps

Fetch 2-3 more pages if needed for gap-filling

Step 5: Synthesis & Report

Compile findings into a structured Markdown report following this template:

# [Research Topic]
_Generated: [YYYY-MM-DD] | Sources consulted: [N] pages_
Executive Summary
[2-3 paragraph overview of the most important findings. Should stand alone as a complete briefing.]
Key Findings
[Sub-topic 1]
[Detailed findings with inline citations as numbered references, e.g., [1], [2]]
[Sub-topic 2]
[...]
[Sub-topic N]
[...]
Detailed Analysis
[Deeper exploration of complex aspects, cross-cutting themes, and nuanced points that don't fit neatly into sub-topic sections]
Contradictions & Limitations
[Conflicting information found between sources]
[Areas where evidence is thin or outdated]
[Potential biases in available sources]
[Questions that remain unanswered]
Sources
1. Title — [Brief description of the source and what it contributed]
2. Title — [...]
...

Step 6: Quality Check

Before delivering the report, verify:

[ ] Every factual claim has at least one source citation

[ ] Sources are diverse (not all from the same domain/author)

[ ] Executive summary accurately reflects the detailed findings

[ ] Contradictions and limitations are honestly disclosed

[ ] The report directly answers the user's original question

[ ] Numbers, dates, and proper nouns are accurately transcribed from sources

Output Language

Match the language of the user's prompt:

If the user writes in Chinese, output the report in Chinese (with English terms where conventional)

If the user writes in English, output the report in English

For mixed-language prompts, default to the language used for the main question

Tool Mapping

This skill uses generic descriptions for web tools. Map to your platform:

| Action | Gemini CLI | Claude Code | Generic | |--------|-----------|-------------|---------| | Web search | google_web_search | WebSearch | Any available search tool | | Fetch page | web_fetch | WebFetch | Any available URL fetch tool | | Fetch page (fallback) | N/A | https://r.jina.ai/ | Prepend https://r.jina.ai/ to any URL |

> SearXNG fallback: If your platform has no built-in search tool, you can self-host SearXNG as a local search backend: >

> docker run -d -p 8080:8080 searxng/searxng
> 

> Search: curl -s "http://localhost:8080/search?q=&format=json" (returns results[] with title, url, content) > Fetch: Prepend https://r.jina.ai/ to any URL.

Important Guidelines

1. Use your platform's native search/fetch tools for research. Do NOT use a browser tool. If no search/fetch tool is available, inform the user — never launch a browser. 2. Do NOT ask for API keys. Gemini CLI uses OAuth authentication. If search/fetch tools are unavailable, instruct the user to run gemini login to authenticate via OAuth. No separate API key is needed. 3. Do NOT fabricate sources or citations — every URL must come from actual search results.

Be thorough but honest — clearly state when information is uncertain or unavailable

Prefer recent sources over older ones when both exist

Include specific data points, numbers, and dates whenever available

Distinguish between facts, expert opinions, and speculation