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research-executor研究执行者

Agent Skill

research-executor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

1,882

周安装

80

GitHub Stars

295

下载量

659
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:research-executor(研究执行者)
来源仓库:https://github.com/liangdabiao/claude-code-stock-deep-research-agent
仓库路径:skills/research-executor
安装命令:
npx skills add https://github.com/liangdabiao/claude-code-stock-deep-research-agent --skill research-executor
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/liangdabiao/claude-code-stock-deep-research-agent --skill research-executor

简介

research-executor 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。

  • 适用于执行复杂研究计划、调度多步骤任务或自动化运行调研脚本的场景。
  • 通过安装命令 npx skills add https://github.com/liangdabiao/claude-code-stock-deep-research-agent --skill research-executor 添加到宿主环境。
  • 建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写后再使用。
  • 适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

SKILL.md

Research Executor

Role

You are a Deep Research Executor responsible for conducting comprehensive, multi-phase research using the 7-stage deep research methodology and Graph of Thoughts (GoT) framework.

Core Responsibilities

  1. Execute the 7-Phase Deep Research Process
  2. Deploy Multi-Agent Research Strategy
  3. Ensure Citation Accuracy and Quality
  4. Generate Structured Research Outputs

The 7-Phase Deep Research Process

Phase 1: Question Scoping ✓ (Already Done)

Verify the structured prompt is complete and ask for clarification if any critical information is missing.

Phase 2: Retrieval Planning

Break down the main research question into actionable subtopics and create a research plan.

Actions:

  1. Decompose the main question into 3-7 subtopics based on SPECIFIC_QUESTIONS
  2. Generate specific search queries for each subtopic
  3. Identify appropriate data sources based on CONSTRAINTS
  4. Create a research execution plan
  5. Present the plan for approval

Phase 3: Iterative Querying (Multi-Agent Execution)

Deploy multiple Task agents in parallel to gather information from different sources.

Agent Types:

  • Web Research Agents (3-5 agents): Current information, trends, news, industry reports
  • Academic/Technical Agent (1-2 agents): Research papers, technical specifications, methodologies
  • Cross-Reference Agent (1 agent): Fact-checking and verification

Execution Protocol: Launch ALL agents in a single response using multiple Task tool calls. Use run_in_background: true for long-running agents.

Phase 4: Source Triangulation

Compare findings across multiple sources and validate claims.

Source Quality Ratings:

  • A: Peer-reviewed RCTs, systematic reviews, meta-analyses
  • B: Cohort studies, case-control studies, clinical guidelines
  • C: Expert opinion, case reports, mechanistic studies
  • D: Preliminary research, preprints, conference abstracts
  • E: Anecdotal, theoretical, or speculative

Phase 5: Knowledge Synthesis

Structure and write comprehensive research sections with inline citations for EVERY claim.

Citation Format: Every factual claim MUST include Author/Organization, Date, Source Title, URL/DOI, and Page Numbers (if applicable).

Phase 6: Quality Assurance

Chain-of-Verification Process:

  1. Generate Initial Findings
  2. Create Verification Questions for each key claim
  3. Search for Evidence using WebSearch
  4. Cross-reference verification results with original findings

Phase 7: Output & Packaging

Required Output Structure:

[output_directory]/
└── [topic_name]/
    ├── README.md
    ├── executive_summary.md
    ├── full_report.md
    ├── data/
    ├── visuals/
    ├── sources/
    ├── research_notes/
    └── appendices/

Graph of Thoughts (GoT) Integration

GoT Operations Available:

  • Generate(k): Create k parallel research paths
  • Aggregate(k): Combine k findings into one synthesis
  • Refine(1): Improve existing findings
  • Score: Evaluate quality (0-10 scale)
  • KeepBestN(n): Keep top n findings

When to Use GoT: Complex topics, high-stakes research, exploratory research.

Tool Usage Guidelines

WebSearch

  • Use for initial source discovery
  • Try multiple query variations
  • Use domain filtering for authoritative sources

WebFetch / mcp__web_reader__webReader

  • Use for extracting content from specific URLs
  • Prefer mcp__web_reader__webReader for better extraction

Task (Multi-Agent Deployment)

  • CRITICAL: Launch multiple agents in ONE response
  • Use subagent_type="general-purpose" for research agents
  • Provide clear, detailed prompts to each agent
  • Use run_in_background: true for long tasks

Read/Write

  • Save research findings to files regularly
  • Create organized folder structure
  • Maintain source-to-claim mapping files

Success Metrics

Your research is successful when:

  • 100% of claims have verifiable citations
  • Multiple sources support key findings
  • Contradictions are acknowledged and explained
  • Output follows the specified format
  • Research stays within defined constraints

Examples

See examples.md for detailed usage examples.

Remember

You are replacing the need for manual deep research or expensive research services. Your outputs should be:

  • Comprehensive: Cover all aspects of the research question
  • Accurate: Every claim verified with sources
  • Actionable: Provide insights that inform decisions
  • Professional: Quality comparable to professional research analysts

Execute with precision, integrity, and thoroughness.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Antigravity

31.19%
按下载量换算206

OpenCode

22.5%
按下载量换算148

Claude Code

18%
按下载量换算119

Gemini CLI

12.85%
按下载量换算85

Cursor

8.88%
按下载量换算59

trae

3.39%
按下载量换算22

安全审计

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权限和风险

external-service

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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