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Agent Skill · 研究检索

synthesis-article-writing(综合文章写作)

用于辅助文档、README、Markdown、说明文和内容稿件的整理与改写。它适合让 Agent 提炼结构、补齐章节、统一术语、检查链接或把零散材料整理成可读文档。使用时应保留项目已有事实、命令和路径,不要把未确认的信息写成确定结论;涉及对外文案时,还需要控制语气,避免过度营销或夸大能力。

synthesis-article-writing 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,第三方扫描有提醒项,按安装量在研究检索类的 73,675 个 Skill 里排第 63,725。

总安装 312周安装 13GitHub Stars 3下载 104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:synthesis-article-writing(综合文章写作)
来源仓库:https://github.com/rajivpant/synthesis-skills
仓库路径:skills/synthesis-article-writing
安装命令:
npx skills add https://github.com/rajivpant/synthesis-skills --skill synthesis-article-writing
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/rajivpant/synthesis-skills --skill synthesis-article-writing

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。

synthesis-article-writing 用于辅助文档、README 和内容稿件的整理与改写,适合结构化和术语统一。适用于 Codex、Claude、Cursor、Gemini CLI 中的内容组织与文案优化场景。通过 npx skills add 命令从指定 GitHub 仓库安装并使用该技能。

使用时应保留项目事实,避免过度营销或夸大能力,尤其对外文案需控制语气。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/synthesis-article-writing

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/rajivpant/synthesis-skills --skill synthesis-a…;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

synthesis-article-writing 怎么安装?

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

synthesis-article-writing 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。

synthesis-article-writing 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。

synthesis-article-writing 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。

synthesis-article-writing 用的人多吗?

公开数据是累计安装 312 次,近一周安装 13 次,下载 104 次,GitHub 3 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。

synthesis-article-writing 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 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。
  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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
synthesis-article-writing

综合文章写作 · 本页

3123只读未明确有提醒

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

Article Writing

A three-phase workflow for creating high-quality thought leadership articles: research/validation, strategic writing, and pre-publication critical review. Use when exploring a book, concept, or trend and connecting it to your expertise.


Phase 1: Research & Validation

Mission

Conduct thorough research and provide verified, cited information before writing begins. Accuracy is paramount — every claim, quote, and reference must be verifiable.

Critical Research Principles

  1. Cite Everything: Provide URLs, page numbers, or specific sources for all information
  2. Flag Uncertainty: If you cannot verify something, explicitly state "Cannot verify" or "Paraphrased concept - not direct quote"
  3. Distinguish Direct Quotes from Summaries: Make clear what is verbatim vs. interpretation
  4. Confidence Levels: Rate each piece of information:

- Verified: Found direct source - Likely accurate: Found multiple corroborating sources - Uncertain: Found reference but could not verify - Cannot verify: No source found

Research Deliverables

A. Source Material Research

If exploring a book, article, or specific source:

  • Direct quotes with page numbers or citations
  • Core concepts and how they are explained
  • Key examples or case studies used
  • Related frameworks or principles
  • Public discourse and reception
  • Notable critiques or limitations
B. Author's Writing Archive Analysis

Search existing content for:

  • Relevant past posts (title, URL, date, key themes)
  • Established voice patterns and frameworks
  • Recurring terminology and characteristic examples
  • Career experiences already written about publicly
  • Topics where established expertise exists
C. Integration Opportunities
  • Natural connections between source material and the author's expertise
  • Where the author's perspective adds unique value
  • Contrast opportunities (where nuance or respectful disagreement applies)
  • 8-10 specific past posts to hyperlink with rationale for each
D. Anecdote Development Guidelines

Safe territory for illustrative stories:

  • Generic patterns true to experience without naming specific employers
  • Engineering/product/leadership challenges
  • Implementation lessons
  • Cross-functional dynamics

Handle carefully:

  • Specific company cultures or politics
  • Individual colleagues or executives
  • Proprietary systems or strategies
E. Competitive Landscape
  • Recent thought leadership on this topic
  • What angle seems underexplored
  • Where genuinely new thinking can be added

Research Output Format

  1. Executive Summary (2-3 paragraphs on findings)
  2. Each deliverable section above
  3. Red Flags section (anything that could not be verified)
  4. Recommended Next Steps before proceeding to writing

Phase 2: Writing the Article

Mission

Craft an authentic, insightful article that:

  1. Explores the topic with depth and nuance
  2. Connects it to the author's expertise and experience
  3. Establishes peer-level thinking, not just application of others' ideas
  4. Feels genuinely written by the author
  5. Is accurate and verifiable in every factual claim

Critical Writing Principles

Accuracy First

  • Use ONLY information from the research phase
  • Only use Verified and Likely accurate items
  • If additional information is needed, ask rather than inventing it

Authentic Voice

  • Study voice patterns from past posts
  • Write like explaining to a smart colleague over coffee
  • Use characteristic terminology and examples
  • Reference actual experiences and body of work

Strategic Positioning

  • Position the author as someone who independently thinks deeply about these topics
  • Show how expertise creates unique insights
  • Make content valuable beyond any specific context (evergreen)

Content Architecture

1. Opening Hook (Personal Experience)
  • Start with a specific, visceral moment from career experience
  • Make it real and human, with stakes
  • Link to one relevant past post naturally
2. Core Concept Exploration
  • Unique interpretation of the topic
  • How domain expertise informs the perspective
  • Why this matters now
3. Industry Application
  • Why specific industries struggle or succeed with this
  • Concrete but anonymized examples
  • Pattern recognition across career experience
4. Unique Value-Add
  • Where the article goes beyond the source material
  • Where technical/domain expertise creates insights
  • The bridge between theory and practice
5. The Nuance
  • Show critical thinking, not blind acceptance
  • Add crucial nuance
  • Demonstrate wisdom, not just intelligence
6. Forward-Looking Implications
  • Where this leads
  • Practical call to action
  • Ongoing commitment (subtle)

Voice and Tone

Characteristics:

  • Conversational but substantive
  • Confident without arrogance
  • Specific over abstract
  • Intellectually generous (credit others, build on ideas)

Sentence structure:

  • Vary length for rhythm
  • Use occasional fragments for emphasis
  • Ask rhetorical questions
  • Include "you" to make it conversational

Avoid:

  • Corporate jargon or buzzwords
  • Excessive qualifiers (very, really, quite)
  • Passive voice
  • AI-typical phrases ("delve into," "it's important to note," "in conclusion")
  • Words like "honored," "humbled," "excited," "thrilled," "privileged"

Hyperlink Strategy

Target: 6-8 hyperlinks to past posts.

Integration principles:

  • Weave links naturally into sentences
  • Each link should add depth, not distract
  • No "see also" sections — embed in narrative
  • Distribute throughout the post

Example:

  • Good: "As I wrote when introducing [project], the key to useful AI assistants is..."
  • Bad: "To learn more about AI assistants, see this post."

Ethical Storytelling and Anonymization

CRITICAL: Name removal is NOT anonymization. Removing company names while keeping the scenario, specific numbers, stakeholder dynamics, vocabulary, and industry context creates a fingerprint that names are the least important part of. The scenario IS the identifier.

Before using any real example, apply all four tests:

  1. Outsider test: A stranger reads this. Could they narrow it to a small set of companies or situations?
  2. Insider test: Someone who knows your work reads this. Does the example confirm something they suspected but couldn't prove? Does it reveal an internal decision that was meant to stay internal?
  3. Adversary test: A reporter or competitor reads this. Could this become evidence or ammunition?
  4. Irony test: Does publishing this example undermine the very thing the example describes protecting?

If ANY test fails, the example cannot be used regardless of whether names are removed.

Especially dangerous: Operational decisions as teaching material. If a decision was made to manage risk (changing terminology, restructuring a team, pivoting a strategy), describing it publicly re-creates the risk. An article about careful language choices that reveals you made those choices is self-defeating.

Safe example sources:

  • The author's personal methodology and tools (already public)
  • Publicly known examples from other companies (with attribution)
  • Genuinely universal patterns that don't map to specific companies
  • Fictional scenarios clearly marked as illustrative
  • Examples where the specifics have been transformed, not just redacted (change the industry, the stakeholder type, the numbers, and the vocabulary simultaneously)

Not safe, even without names:

  • Internal product strategy decisions with specific numbers
  • Risk mitigation choices where the risk itself is sensitive
  • Stakeholder dynamics that fingerprint a specific situation
  • Vocabulary changes that map to known products

Output Deliverables

  1. 5-7 Title Options with brief rationale
  2. Full Article Draft with all hyperlinks embedded
  3. Meta Description (150-160 characters)
  4. LinkedIn Sharing Post
  5. Pull Quotes (3-4 tweetable excerpts)
  6. Verification Notes (choices to double-check)

Author Bios: Rendered by Layout, Not Markdown

On sites that render posts through a component-based layout (such as Astro with an AuthorBio component), do NOT include an inline author bio at the end of the markdown. The layout adds a visually-separated bio box automatically, pulling from a single source of truth in site config. Writing an inline bio will produce duplicates and defeat the single-source-of-truth design.

For sites without a layout-level bio component — external publications, guest posts, platforms that render raw markdown — include a bio at the end of the draft. If the author maintains a writer-specific bio skill that provides variants for different audiences (Standard, Short, Technical, Executive), pull the appropriate variant from there.

Co-authored posts with layout-rendered bios should put co-author bios in front matter (e.g., a coauthors array) rather than inline in the body. The layout component renders the primary author's current bio plus each co-author's bio in the same visual treatment. Check the site's front matter schema for supported fields.

Testimonials and recommendations (posts written about the site owner by others) should not have the site owner's bio rendered. The layout typically detects these via category (e.g., Recommendations) and suppresses the bio component. The testimonial writer's own bio goes at the end of the markdown as usual.

Success Criteria

The article succeeds if:

  • It sounds unmistakably like the author
  • Every factual claim is verified and sourced
  • It advances thinking beyond summarizing sources
  • It positions the author as a thought leader
  • Multiple hyperlinks prove authenticity
  • It is useful to any leader thinking about this topic
  • The author would be proud to have their name on it

Phase 3: Pre-Publication Critical Review

After the draft is complete, review it critically through these lenses before publishing. This phase exists because a draft can be well-written, factually accurate, and still damage the author's reputation or expose confidential information.

1. Credibility and Positioning

Does this make the author look like a deeply experienced expert?

  • Read every anecdote from the perspective of a skeptical peer. Does any story position the author as someone who made an avoidable mistake rather than someone who discovered a non-obvious insight?
  • Vulnerability is strategic when it demonstrates wisdom earned. It backfires when it reveals carelessness.
  • Test: "Would a senior leader in my field read this and think 'that happened because they didn't have basic guardrails'?" If yes, reframe the story to show what was being deliberately tested or explored, or replace it.

2. Substance Density

Is there real, valuable substance in every paragraph?

  • Read each paragraph and ask: what does the reader learn here that they didn't know before? If the answer is "nothing" or "a restatement of the previous point," cut or compress.
  • Watch for warm-up paragraphs that delay the insight, setup sentences that state the obvious, and summary paragraphs that repeat what was just said.
  • Common offenders: "AI agents are capable of extraordinary work" (everyone knows this), "No component exists in isolation" (textbook truism), "The user is not an abstraction" (platitude preceding a good example that doesn't need it).

3. Insight Quality

Does this article contain at least one idea the reader hasn't encountered before?

  • An insight reframes how the reader thinks. It's not a fact, it's a shift in perspective.
  • Test: after reading each section, can you articulate a specific new mental model, distinction, or principle the reader now has? If a section only restates established ideas, it needs either a novel angle or a novel example.

4. Engagement and Shareability

Would someone share this because of what's in it, not just because they know the author?

  • Is there a "gem" moment — a sentence or passage so striking that people would screenshot it?
  • Are there pull quotes (3-4 blockquoted passages) that work as standalone tweetable insights?
  • Does the opening hook signal the article's actual scope? A small-sounding hook for a big-scope article will lose readers who assume the piece is about the small thing.
  • Does the article have structural variety? If every section follows the same template (definition → example → another example → non-technical example), readers will start skimming by section 3.

5. Title Magnetism

Would someone click this title in a feed?

  • Descriptive titles are searchable. Provocative titles get clicked. The best titles are both.
  • Test: does the title make you curious, or does it just describe the contents? "Five Modes of Reasoning for Human-AI Collaboration" describes. "Five Modes for Thinking Across Boundaries" intrigues slightly more. The ideal title makes the reader think "I want to know what that means."

6. Confidentiality and Exposure (CRITICAL)

Run the full anonymization protocol from the Ethical Storytelling section above.

  • For every real example: apply all four tests (outsider, insider, adversary, irony)
  • For every "anonymized" example: verify that the scenario itself isn't a fingerprint
  • For every operational decision described: ask whether describing it publicly re-creates the risk it was designed to mitigate

7. Limitations and Honesty

Does the article acknowledge where its claims fail?

  • A framework presented without limitations reads as oversold. One paragraph on "when this doesn't apply" builds more credibility than ten paragraphs of advocacy.
  • Test: if a smart, skeptical reader asks "but what about...?" — does the article already have an answer?

8. AI Slop Final Pass

Run the synthesis-content-quality framework (32-point check) on the final draft.

  • Pay special attention to: hyperbolic subheadings, borrowed canonical examples (jet engine/market, bus route nobody rides), dramatic fragment construction, section-ending summaries.
  • Check that pull quotes exist and are placed for visual rhythm across the article's length.

Related

Part of the synthesis writing craft — the writer writes, the AI assists.

平台分布

Codex

33.79%
按下载量换算35

Claude

28.55%
按下载量换算30

Cursor

18.63%
按下载量换算19

Gemini CLI

9.15%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。目前只有一个公开来源,建议同时核对源仓库。

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