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Agent Skill · 研究检索

research-craft(研究工艺)

research-craft 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-craft 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,权限为只读;许可证信息还不明确,第三方扫描已通过,按安装量在研究检索类的 73,675 个 Skill 里排第 37,816。

总安装 1,665周安装 68GitHub Stars 98下载 539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
unknown

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-craft(研究工艺)
来源仓库:https://github.com/erichowens/some_claude_skills
仓库路径:skills/research-craft
安装命令:
npx skills add https://github.com/erichowens/some_claude_skills --skill research-craft
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。

skills.shnpx skills
npx skills add https://github.com/erichowens/some_claude_skills --skill research-craft

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。

research-craft 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。适用于精细化研究操作、手工式信息筛选或深度内容挖掘的场景。

通过安装命令 npx skills add https://github.com/erichowens/some_claude_skills --skill research-craft 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。

来源仓库内路径:skills/research-craft

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 https://github.com/erichowens/some_claude_skills --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

    它标注为只读,先用只读任务试一次,确认行为符合预期再扩大使用范围。

常见问题

6 条

research-craft 怎么安装?

在终端执行 npx skills add https://github.com/erichowens/some_claude_skills --skill research-craft。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

research-craft 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-craft 需要什么权限?

权限级别是只读。该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

research-craft 是免费的吗?

公开资料没有标注明确许可证,收费和商用限制都无法确认。正式使用前请到来源仓库核对授权说明。

research-craft 用的人多吗?

公开数据是累计安装 1,665 次,近一周安装 68 次,下载 539 次,GitHub 98 星。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-craft 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

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。
  • 第三方扫描已通过,常见的高风险行为没有命中。
  • 标注为只读权限,试用阶段不容易误改本地文件。

先想清楚的地方

  • 许可证没有明确标注,能不能商用、能不能再分发都不确定。
  • 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。
  • 只想先试试效果、不希望它改动本地文件的人。

不太适合

  • 需要明确授权才能用到公司项目里的场景。
  • 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-craft

研究工艺 · 本页

1,66598只读未明确通过

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

Research Craft

Master the systematic process of formulating meaningful research problems, constructing evidence-based arguments, and communicating findings that contribute to scholarly conversations.

When to Use

✅ Use for: Academic research papers, thesis/dissertation work, scholarly article writing, literature reviews, evidence-based argumentation, knowledge synthesis, participating in disciplinary conversations ❌ NOT for: Creative writing, journalistic reporting, business case studies, technical documentation, marketing content, personal essays, opinion pieces

Core Process

Problem Formulation Decision Tree

START: Do you have a clear research problem?
├─ NO: Do you have a specific topic (not just broad subject)?
│  ├─ NO → Find specific topic within general interest area
│  └─ YES → Question topic systematically
│     └─ Ask "So what?" to test consequences
│        ├─ Readers won't care → Reframe problem from reader perspective
│        └─ Readers will care → Verify problem structure:
│           ├─ Condition (knowledge gap) stated?
│           ├─ Cost/consequence stated?
│           └─ Evidence type available?
│              ├─ ALL YES → PROCEED to argument building
│              └─ ANY NO → Revise problem formulation
└─ YES → Is problem practical or conceptual?
   ├─ PRACTICAL (tangible costs requiring action)
   │  └─ Solution must be actionable
   └─ CONCEPTUAL (understanding gap)
      ├─ Pure research → Solution improves understanding
      └─ Applied research → Solution has practical consequences

Argument Construction Decision Tree

START: Building argument for research claim
├─ State CLAIM (answers research question)
├─ Develop REASONS (assertions from thinking)
│  └─ For each reason, do you have EVIDENCE (data from world)?
│     ├─ NO → Insufficient support; gather evidence or drop reason
│     └─ YES → Is evidence representative, accurate, sufficient?
│        ├─ NO → Cherry-picking risk; expand sample or qualify claim
│        └─ YES → Continue
├─ Anticipate reader objections
│  ├─ Plausible objections exist?
│  │  ├─ YES → ACKNOWLEDGE and RESPOND with subordinate argument
│  │  │  ├─ Can you refute? → Provide counter-evidence
│  │  │  ├─ Must concede? → Acknowledge limitation candidly
│  │  │  └─ Alternative view? → Show why yours is stronger
│  │  └─ NO → Proceed to warrants
│  └─ Will readers question reason-claim connection?
│     ├─ YES → STATE WARRANT (general principle)
│     └─ NO (expert audience) → Omit warrant
└─ Test complete argument
   └─ Evidence comprises ~1/3 of section?
      ├─ NO: Too little → Data dump; too much → Add interpretation
      └─ YES → ARGUMENT COMPLETE

Source Evaluation Decision Tree

START: Evaluating potential source
├─ Assess RELIABILITY
│  ├─ Peer-reviewed? → +reliability
│  ├─ Frequently cited? → +reliability
│  ├─ Reputable publisher? → +reliability
│  ├─ Author credentialed in domain? → +reliability
│  └─ Current for field? → Check temporal standards
├─ Classify SOURCE TYPE (relative to YOUR project)
│  ├─ Provides raw data on subject? → PRIMARY
│  ├─ Analyzes primary sources? → SECONDARY
│  └─ Synthesizes secondary sources? → TERTIARY
│     └─ Can you access more primary sources?
│        ├─ YES → Get closer to primary; chain is too long
│        └─ NO → Acknowledge limitation
├─ Evaluate EVIDENCE quality
│  ├─ Accurate? → Verify important claims
│  ├─ Precise? → Sufficient detail for replication?
│  ├─ Sufficient? → Sample size adequate?
│  ├─ Representative? → Generalizable?
│  └─ Authoritative? → Within author's expertise?
└─ USAGE decision
   ├─ Quote? → Exact words matter for analysis
   ├─ Paraphrase? → Specific ideas in your words
   └─ Summarize? → General overview sufficient

Revision Decision Tree

START: Draft complete, begin revision (TOP-DOWN only)
├─ LEVEL 1: FRAME (Introduction/Conclusion)
│  ├─ Introduction has Context→Problem→Response?
│  │  ├─ NO → Restructure using three-step pattern
│  │  └─ YES → Problem framed from reader perspective?
│  │     ├─ NO → Rewrite emphasizing costs to readers
│  │     └─ YES → Continue
│  └─ Conclusion has Main Point→New Significance→Future Research?
│     ├─ NO → Add missing elements
│     └─ YES → Proceed to Level 2
├─ LEVEL 2: ARGUMENT STRUCTURE
│  ├─ 4-5 key concepts run throughout paper?
│  │  ├─ NO → Identify concepts; track through all sections
│  │  └─ YES → Continue
│  └─ Main claim clearly supported by reasons?
│     ├─ NO → Revise logical architecture
│     └─ YES → Proceed to Level 3
├─ LEVEL 3: SECTION ORGANIZATION
│  ├─ Each section has point sentence (beginning or end)?
│  │  ├─ NO → Add or clarify point sentences
│  │  └─ YES → Continue
│  ├─ Evidence comprises ~1/3 of each section?
│  │  ├─ NO → Adjust evidence/interpretation ratio
│  │  └─ YES → Continue
│  └─ Ordering principle clear (simple→complex, familiar→unfamiliar)?
│     ├─ NO → Reorganize sections logically
│     └─ YES → Proceed to Level 4
├─ LEVEL 4: PARAGRAPH STRUCTURE
│  ├─ Each paragraph advances single point?
│  │  ├─ NO → Split or merge paragraphs
│  │  └─ YES → Continue
│  └─ Transitions guide readers between paragraphs?
│     ├─ NO → Add connective tissue
│     └─ YES → Proceed to Level 5
└─ LEVEL 5: SENTENCE CLARITY
   ├─ Subjects = main characters?
   ├─ Verbs = crucial actions (not nominalizations)?
   └─ Hedges appropriately qualify certainty?
      ├─ ALL YES → REVISION COMPLETE
      └─ ANY NO → Fix sentence-level issues

Anti-Patterns

Data Dump

Novice approach: Accumulates information without guiding question, creating pastiche of vaguely related facts. Presents evidence excessively without interpretation.

Expert approach: Formulates clear research question before gathering evidence. Balances evidence (~1/3 of section) with reasons and interpretation showing how evidence supports claims.

Timeline to mastery: Internalized after 2-3 major research projects where early aimless collection causes crisis, forcing recognition that questions must precede answers.


Warrant-Based Factual Claims

Novice approach: Supports factual claims with elaborate reasoning and logical principles alone, without presenting hard evidence from the world.

Expert approach: Distinguishes sharply between reasons (assertions from thinking) and evidence (data from world). Bases reasons on evidence, never evidence on reasons. Reserves warrant-heavy arguments for conceptual claims only.

Timeline to mastery: Requires shift from high school essay mode (where reasoning suffices) to research mode (where data is king). Typically 1-2 semesters of feedback cycles.


Arrogant Certainty

Novice approach: States claims with absolute confidence using "all," "never," "always," "proves." Hides weaknesses hoping readers won't notice. Thinks forceful = credible.

Expert approach: Paradoxically strengthens arguments by modestly acknowledging limitations. Uses hedges appropriately. States claims precisely matching what evidence supports. Recognizes that candid acknowledgment builds ethos.

Timeline to mastery: Counter-intuitive reversal that clicks when first experiencing how acknowledged limitations increase rather than decrease reader trust. Often requires seeing own overreaching claims rejected.


Patch Writing

Novice approach: Stitches together source passages with minimal connecting sentences. Organizes paper following major source's structure. Demonstrates knowledge acquisition without original synthesis.

Expert approach: Uses sources to engage ongoing conversations through agreement, disagreement, or extension. Develops independent organizational structure. Shows what you can DO with information, not just that you found it.

Timeline to mastery: Requires role reversal from student-as-examiner to researcher-as-expert. Typically emerges when first making genuine discovery that contradicts or extends existing literature.


Cherry-Picking Evidence

Novice approach: Uses one or two convenient examples appearing representative but actually anecdotal. Presents only supporting evidence, ignoring contradictory data. Hopes unrepresentativeness goes unnoticed.

Expert approach: Demonstrates representativeness through adequate samples. Acknowledges contradictory evidence and explains why interpretation remains valid, or candidly admits limitations. Recognizes arguments are only as strong as weakest evidence.

Timeline to mastery: Internalized after first experience having reviewer demolish argument by citing contradictory evidence you knew existed but ignored. Painful but permanent lesson.


Student-Teacher Dynamic

Novice approach: Writes to demonstrate knowledge to teacher-as-examiner. Explains what assignment asked for. Uses phrases like "In this paper I will show..." Treats research as proving you did the work.

Expert approach: Positions self as expert sharing findings with interested peers. Reverses roles so researcher is authority with something new. Readers are colleagues who care about discoveries, not examiners grading performance.

Timeline to mastery: Critical threshold crossed when making first genuine contribution—discovering something even instructor doesn't know. Often coincides with first conference presentation or publication.

Mental Models & Shibboleths

"Research is conversation spanning millennia"

True researchers recognize they're joining ongoing dialogue, not discovering from scratch. They trace bibliographic trails backward (what sources cite) and forward (what cites sources), understanding each contribution responds to previous voices while anticipating future responses.

Shibboleth usage: "I'm following the bibliographic trail from Smith's primary sources" (expert) vs. "I found five sources on my topic" (novice).


"Evidence is bedrock; reasons are built structures"

Evidence must be found in the world and made visible to readers—it stands alone. Reasons are assertions thought up by minds that require their own foundation. We base reasons on evidence, never evidence on reasons.

Shibboleth usage: "My reason needs stronger evidence" (expert) vs. "My evidence shows that..." when citing an assertion (novice confusing terms).


"Thickening arguments through acknowledgment"

Strong arguments aren't thin straight lines from claim to evidence—they're thickened by acknowledging objections, alternative views, and limitations. Paradoxically, acknowledging what you don't know makes claims about what you do know more credible.

Shibboleth usage: "I need to thicken this section by acknowledging the Copenhagen interpretation" (expert understanding ethos) vs. "I won't mention that counterexample" (novice thinking concealment = strength).


"Research as zigzagging through fog"

Research doesn't follow linear path from topic→thesis→notes→draft. It's recursive, uncertain, messy—searching for something you won't recognize until you see it. Plans guide but don't constrain.

Shibboleth usage: "My problem shifted as I discovered..." (expert accepting non-linearity) vs. "I can't start writing until I know exactly what I'll say" (novice expecting false certainty).


"Primary/secondary sources are relative, not absolute"

Source classification depends on YOUR research project, not inherent properties. Same source can be primary for one study, secondary for another. Key question: How many steps removed from phenomena you're studying?

Shibboleth usage: "For my purposes, this is a primary source because..." (expert understanding relativity) vs. "This is a secondary source" (novice treating as fixed category).


"Problem significance measured by reader's cost, not researcher's interest"

The worst response isn't "I disagree" but "I don't care." Problems must be framed from reader's perspective showing consequences THEY care about, not just explaining your curiosity.

Shibboleth usage: "Readers in my field care about this because..." (expert framing) vs. "I'm interested in this topic because..." (novice framing).

Temporal Knowledge

19th century: Primary/secondary source distinction originated with historians establishing evidence reliability; later became standard across disciplines as research professionalized.

Early experimental science (~1700s): Researchers relied on witnesses to attest experimental accuracy before standardized methodologies emerged as modern replacement for verification.

Pre-Internet era (pre-1990s): Citation indexing required hours/days with printed indexes. Card catalogs were standard. Bibliographic trail-following was laborious physical process.

Contemporary era (post-2000): Online databases make citation indexing instant, but information overload and unmonitored Internet content paradoxically make libraries and expert curation MORE essential, not less. Google ubiquity creates false confidence in research reliability.

Field-specific temporal standards: Currency requirements vary dramatically—molecular biology may require sources from last 2-3 years, while history may heavily cite centuries-old primary sources. Recognize your field's temporal norms.

References

  • Source: *The Craft of Research* (4th edition) by Wayne C. Booth, Gregory G. Colomb, Joseph M. Williams, Joseph Bizup, and William T. FitzGerald

平台分布

Codex

33.45%
按下载量换算180

Claude

29.61%
按下载量换算160

Cursor

19.15%
按下载量换算103

Gemini CLI

9.42%
按下载量换算51

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

只读

该 Skill 主要提供规则、说明或参考内容,本身偏只读;真正读写文件、联网或执行命令仍取决于宿主 Agent 的任务。

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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