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Agent Skill · 研究检索

research(研究)

research 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。

research 是研究检索类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,暂无第三方扫描结果,按安装量在研究检索类的 73,675 个 Skill 里排第 63,254。

总安装 318周安装 13GitHub Stars 公开资料未说明下载 102核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT

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(研究)
来源仓库:https://github.com/lukasstrickler/ai-dev-atelier
仓库路径:skills/research
安装命令:
npx skills add lukasstrickler/ai-dev-atelier --skill "research"
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。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

AgentSkills.tonpx skills
npx skills add lukasstrickler/ai-dev-atelier --skill "research"

这个 Skill 是做什么的

研究检索类 Skill 主要解决「找资料、核对事实、把来源整理清楚」的问题,通常会让助手先检索再总结。

用于查找与筛选研究类 AI 代理技能的搜索工具。适用于 Codex、Claude、Cursor、Gemini CLI 环境。根据关键词返回候选技能列表。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。安装前请确认宿主兼容性与网络权限。

部分技能可能需要额外配置。research 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/research

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 Codex、Claude、Cursor、Gemini CLI;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 npx skills add lukasstrickler/ai-dev-atelier --skill "research";命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要调用外部服务,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

research 怎么安装?

在终端执行 npx skills add lukasstrickler/ai-dev-atelier --skill "research"。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

research 支持哪些 AI 工具?

公开资料标注支持 Codex、Claude、Cursor、Gemini CLI。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

research 需要什么权限?

权限级别是调用外部服务。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。

research 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

research 用的人多吗?

公开数据是累计安装 318 次,近一周安装 13 次,下载 102 次。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

research 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

值得选的地方和要先想清楚的地方

值得选的地方

  • 同时适配 4 种工具,换客户端不用重新找替代品。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 Codex,想直接扩展它能力的人。
  • 需要处理研究检索类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

研究检索类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
find-skills

寻找技能 · Codex、Claude

31,199,81316,486操作浏览器MIT有提醒
self-improving-agent

自我改进 Agent · OpenClaw

16,464,0023,396接触敏感数据MIT-0通过
soultrace

灵魂追踪 · Codex、Claude

7,588,94412需要联网未明确有提醒
self-improving

自我完善 · OpenClaw

6,829,2841,046需要联网MIT-0通过
microsoft-foundry

微软代工厂 · Codex、Claude

6,614,144764调用外部服务未明确有提醒
research

研究 · 本页

318—调用外部服务MIT未收录

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
research
description
Conduct comprehensive academic research using OpenAlex, PDF extraction, paper search MCPs, and web search. Always produces comprehensive reports with 5+ evidence cards covering conflicting ideas and best approaches. Integrates academic papers (high weight) and non-academic sources (blogs, docs - lower weight but valuable for SOTA). Use when: (1) Researching software architecture patterns, (2) Finding academic papers on technical topics, (3) Conducting literature reviews, (4) Analyzing research papers for evidence-based decisions, (5) Building evidence cards from papers, (6) Finding related works and citations, or (7) When you need grounded, paper-backed technical recommendations. Triggers: research, find papers, literature review, evidence-based, academic research, compare approaches, what does research say, find studies on, search for papers about.
metadata
author
ai-dev-atelier
version
1.0

Research

Comprehensive academic research using OpenAlex, Paper-search, PDF extraction, and web search (Tavily). Always produces 5+ evidence cards covering conflicting ideas with weighted evidence synthesis.

Quick Start

Decision Tree:

  • Need evidence-based decision? → Use this skill
  • Quick lookup only? → Use search skill instead
  • Already researched topic? → Run ada::research:list

Core Workflow:

Step 0: Gather codebase context (ALWAYS FIRST)
Step 1: Formulate research question
Step 2: Comprehensive discovery (25+ sources)
Step 3: Create 5+ evidence cards incrementally
Critical Evaluation: Assess for codebase context
Step 4: Generate comprehensive report

Mandatory Requirements:

  • ✅ Always 5+ evidence cards (broad coverage)
  • ✅ Explicitly seek conflicting ideas
  • ✅ Weight evidence (academic + real-world sources)
  • ✅ Codebase context informs research question

CRITICAL: Write-First Pattern

MANDATORY: After 1-2 tool calls:

  1. Write/update evidence card immediately
  2. Update references.json immediately
  3. SAVE files before next tool calls
  4. CONTINUE research (writing ≠ stopping)

Why: Context windows are limited. Writing preserves knowledge even if context resets.

Failure Modes:

  • ❌ 3+ tool calls before writing → context overload
  • ❌ Stopping after one card → must continue until complete
  • ❌ Not updating references.json → loses tracking

Workflow Summary

Step 0: Codebase Context (ALWAYS FIRST)

Search codebase for: architecture, patterns, technologies, existing implementations. Use context to inform research question.

Step 1: Research Question

  1. Create .ada/data/research/{topic}/
  2. Create research-question.md using template
  3. Create references.json with intent

Step 2: Discovery (Target: 25+ Sources)

Academic (OpenAlex, Paper-search):

  • Foundational: get_top_cited_works (min_citations: 50+)
  • Recent SOTA: search_works (from_year: 2020+)
  • Citation networks: get_citation_network

Non-Academic (Tavily via search skill):

  • Blogs, docs, case studies in parallel
  • Target: 5-10 relevant sources

Conflict-Seeking:

  • "{approach A} vs {approach B}"
  • "{approach} limitations"
  • "alternative to {approach}"

Step 3: Evidence Cards (5+ Required)

  1. Read 1-2 papers/sources
  2. Create/update evidence card
  3. Update references.json
  4. SAVE files
  5. REPEAT until 5+ cards

Grouping: Same approach → same card. Different approach → new card.

Critical Evaluation

After 5+ cards, before report:

  1. Assess strengths/weaknesses
  2. Evaluate for codebase context
  3. Compare tradeoffs systematically
  4. Identify best fit

Step 4: Research Report

  1. Re-read all evidence cards: ada::research:show
  2. Re-read research-question.md
  3. Create research-report.md using template
  4. Include "Answer to Original Question" section

Tools Quick Reference

ToolPurposeWhen
OpenAlex get_top_cited_worksFoundational papersDiscovery
OpenAlex search_worksRecent SOTADiscovery
OpenAlex get_citation_networkRelated workDeep dive
Paper-search search_arxivPreprintsRecent work
PDF read_pdfExtract contentReading papers
Tavily (search skill)Non-academicParallel discovery
zai-zread search_docSemantic issues/PRs/docsReal-world implementations
webfetchDirect URL readsLightweight docs/files
look_atInterpret diagrams/imagesPDFs/screenshots

Research Management Commands

ada::research:status              # Full status + next action
ada::research:status --next       # Just next action
ada::research:status --checkpoint # Verify state
ada::research:status --ref <name> # Load reference file

ada::research:list                # List all sessions
ada::research:show <session>      # Show evidence cards
ada::research:cleanup --all       # Clear PDFs

Load References On-Demand:

ada::research:status --ref workflow      # Workflow guide
ada::research:status --ref evidence-cards # Card guide
ada::research:status --ref template-card  # Card template
ada::research:status --ref weighting      # Weighting framework

Key Tips (Reminders)

Source Weighting

TypeWeightExamples
Academic (50+ citations)HighPeer-reviewed papers
Academic (10-50 citations)MediumRecent SOTA
Real-world case studiesHighCompany post-mortems
Blogs, tutorialsMedium-LowExpert content

Evidence Card Essentials

  • Key claims with page number citations
  • Assumptions and conditions
  • Tradeoffs and limitations
  • Related/conflicting approaches
  • Implementation resources

Common Mistakes

  • ❌ Reading 3+ papers before writing → Write after 1-2
  • ❌ Not seeking conflicts → Explicitly search opposing views
  • ❌ Skipping codebase context → Always start with Step 0
  • ❌ Stopping at 3 cards → Must reach 5+ for broad coverage

Directory Structure

.ada/
├── data/research/{topic}/
│   ├── research-question.md
│   ├── evidence-card-*.md
│   ├── research-report.md
│   └── references.json
└── temp/research/downloads/  # Temporary PDFs

References

Templates:

  • references/templates/template-research-question.md
  • references/templates/template-evidence-card.md
  • references/templates/template-research-report.md
  • references/templates/template-references.json

Guides:

  • references/guides/guide-workflow.md - Detailed workflows
  • references/guides/guide-evidence-cards.md - Card creation
  • references/guides/guide-weighting.md - Source weighting
  • references/guides/guide-critical-evaluation.md - Evaluation framework
  • references/guides/guide-reports.md - Report generation
  • references/guides/guide-adaptive-strategies.md - Handling edge cases

Examples:

  • references/examples/example-evidence-card.md
  • references/examples/example-research-report.md
  • references/examples/example-workflows.md

Reference:

  • references/reference/reference-tools.md - Complete MCP documentation

Integration

  • With search skill: Use Tavily in parallel for non-academic sources
  • With docs-write: Use evidence cards for documentation decisions

平台分布

Claude Code

28.8%
按下载量换算29

kilo

24.77%
按下载量换算25

Gemini CLI

18.95%
按下载量换算19

Antigravity

13.37%
按下载量换算14

mcpjam

7.45%
按下载量换算8

command-code

3.88%
按下载量换算4

安全审计

暂无安全审计结果可展示。

权限和风险

调用外部服务

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。目前只有一个公开来源,建议同时核对源仓库。

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