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研究检索external-servicegithub未标认证来源可访问clear审计未展示

research研究

Agent Skill

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。

总安装

318

周安装

13

GitHub Stars

公开资料未说明

下载量

102
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

2

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(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"

简介

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。

SKILL.md

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

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

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

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

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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