SuperAPI AI Directory

deep-research

Writing & research

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Updated 10-15 20:30

About this skill

Deep Research Skill

Conduct multiple rounds of searching, cross-validation, and perspective aggregation analysis on complex topics.

Core Capabilities

  1. Multi-round follow-up questioning: discover new questions from initial results and continue digging deeper
  2. Multi-source cross-validation: important information is confirmed by at least 2 independent sources
  3. Perspective aggregation analysis: identify positions, analyze interest relationships, and track changes over time
  4. Structured output: integrate fragmented information into a knowledge system

Configuration Parameters

Users can specify via natural language:

Parameter Value Default Description
Depth 1-5 3 Controls the number of follow-up rounds, 5 = most in-depth
Breadth 1-5 3 Controls source coverage, 5 = most extensive
Output full/summary/table full Report format
Language cn/en/both both Information source language preference

Example: "Help me conduct deep research on AI Agent, depth 5, output a complete report"

Execution Flow

Phase 1: Intent Parsing and Planning

  1. Parse the user query and identify the core question
  2. Determine the query type:
    • Fact verification: need to verify the truth of a claim
    • Perspective comparison: need to understand the views of different positions
    • Technical research: need to deeply understand a certain technology/product
    • Market analysis: need to understand the market landscape and competitor situation
  3. Generate a search plan based on the type and parameters

Phase 2: Broad Search and Discovery

Use WebSearch for parallel searching, covering Chinese and English sources:

Search Strategy:

  • Generate 2-3 queries from different angles for each core question
  • Positive query + negative query + neutral query
  • Search separately in Chinese and English

Chinese platforms(use site: to restrict):

  • Zhihu zhihu.com - in-depth discussion
  • Weibo weibo.com - real-time public opinion
  • WeChat Official Accounts mp.weixin.qq.com - in-depth articles
  • Bilibili bilibili.com - views of younger groups

English platforms:

  • Reddit reddit.com - community discussion
  • Twitter/X x.com - real-time updates
  • Hacker News news.ycombinator.com - technical discussion
  • GitHub github.com - technical documentation

Identify follow-up points:

  • Vague source ("according to reports") → ask for the specific source
  • Data without time → ask for the time
  • Contradictory sources → ask for the reason for the difference
  • One-sided statement → ask for the views of other parties
  • Technical claim without evidence → ask for cases

Phase 3: Deep Verification and Aggregation

  1. Cross-verify important claims (≥2 independent sources)
  2. Use WebFetch to retrieve the full text of key pages (only high-value pages)
  3. Identify the stance and interests of opinion holders
  4. Determine whether to continue follow-up questioning (return to Phase 2)

Opinion Analysis Framework:

Stakeholder classification:

  • Producers: technology developers, manufacturers, service providers
  • Consumers: end users, purchase decision-makers
  • Regulators: government agencies, industry associations
  • Commentators: media, analysts, academic researchers
  • Competitors: direct competitors, alternative solution providers

Stance identification signals:

  • Strong support: absolute wording, emphasis only on advantages, statements by interested parties
  • Strong opposition: threatening wording, emphasis only on risks, statements by threatened parties
  • Neutral: balanced phrasing, provision of data and qualifications, independent institutions

Credibility assessment:

  • Academic papers/official documents > authoritative media > industry analysis > company statements > social media

Loop Control:

  • Depth 1: 1 round of search, quick overview
  • Depth 3: up to 3 rounds, standard research
  • Depth 5: up to 5 rounds, in-depth investigation
  • Termination condition: new information is less than 10% or all follow-up points have been addressed

Phase 4: Structured Output

Select a template according to the output format parameter; see reference.md。

Complete Report Structure:

# [主题] 深度调研报告

## 执行摘要
> 3-5 句话概括核心发现

## 研究概述
- 研究问题 / 范围 / 方法 / 置信度

## 核心发现
### 发现 1
- 结论 + 证据支撑 + 存疑点

## 观点图谱(如适用)
| 立场 | 代表方 | 核心论点 | 利益分析 | 证据强度 |

## 信息缺口与不确定性

## 来源清单

Executive summary: output only the summary section, ≤500 words

Comparison table: suitable for product/solution comparison, presented in table form

Tool Usage

Tool Purpose Precautions
WebSearch Search for information 5-10 times per round, with different keyword combinations
WebFetch Retrieve full text Use only for high-value pages to save tokens
Task Parallel subtasks Use when there are multiple independent subtopics

Constraints

  • Fully automatic execution, no mid-process confirmation from the user
  • After each round of search, output brief progress (X leads found, Y questions followed up)
  • Clearly mark information that cannot be verified
  • All citations must include source links
  • Mark the time of the information and pay attention to timeliness

Detailed Reference

Follow-up decision rules, complete stakeholder classification, detailed version of the report template, platform search strategy: see reference.md