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Agent Skill · 待分类

improve-article(改进文章)

improve-article 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。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。

improve-article 是待分类类 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,按安装量在待分类类的 11,209 个 Skill 里排第 4,839。

总安装 665周安装 28GitHub Stars 12下载 233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:improve-article(改进文章)
来源仓库:https://github.com/jbrukh/skills
仓库路径:skills/improve-article
安装命令:
npx skills add https://github.com/jbrukh/skills --skill improve-article
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/jbrukh/skills --skill improve-article

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

该技能用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。通过 npx skills add 命令从指定 GitHub 仓库安装使用。

安装前需确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写操作。建议结合原始 README 文档进一步核验具体用法和功能边界。

来源仓库内路径:skills/improve-article

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/jbrukh/skills --skill improve-article;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

improve-article 怎么安装?

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

improve-article 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。

improve-article 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。

improve-article 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。

improve-article 用的人多吗?

公开数据是累计安装 665 次,近一周安装 28 次,下载 233 次,GitHub 12 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。

improve-article 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。
  • 需要处理待分类类任务、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。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
improve-article

改进文章 · 本页

66512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

Improve Article

Walk through an existing article or set of bullet points one section at a time, surfacing insights the author hasn't considered, then rewrite each section in a target style — pausing for user feedback before moving on.

When to Use

  • User invokes /improve-article, asks to "improve this article," "make this better," "expand these bullets," "punch this up," or "help me strengthen this piece"
  • User has existing text (draft article, bullet points, rough notes) they want elevated
  • NOT for: writing from scratch when no existing text exists (use /write-oped), or polishing a single paragraph or short passage that doesn't need section-by-section treatment (use /sharpen-prompt). Boundary rule: If the user provides fewer than 3 sentences or bullet points, suggest /sharpen-prompt instead. If the user provides only a topic with no existing text at all, suggest /write-oped instead. If the user provides rough bullets or notes — even sparse ones — that represent their own thinking, proceed with /improve-article; the user has content, and this skill's job is to elevate it.

Phase 1: Style & Context Intake

Before touching a single word, gather context. Ask the following in one conversational message — skip any question the user has already answered:

  1. Audience & venue — "Who is reading this, and where will it appear?" (e.g., crypto-native investors on Substack; general tech audience on a company blog). This determines assumed knowledge, analogy domains, and register.
  2. Style prompt — "Describe the style you want — a reference author, a set of adjectives, or a vibe." Push back if the answer is vague (e.g., "make it good"). Acceptable answers: "Paul Graham but more technical," "authoritative, spare, dry wit," "Brukhman voice from write-oped." If the user says "Brukhman voice" or similar, import the voice rules from the write-oped skill verbatim.
  3. Desired reader takeaway — "When someone finishes this piece, what should they think or feel?" This anchors the closing and the insight direction.
  4. Anything that must stay as-is — "Are there sections, phrases, or data points I should not change?" Respect authorial intent.

Hard rule: Do not proceed to Phase 2 without answers to at least questions 1 and 2. If the user skips them, ask again — politely, once. If they insist on skipping, default to "informed generalist audience" and "clear, authoritative, concrete" and note the defaults.

Phase 2: Input Analysis (Silent)

Do not output this phase to the user. Perform silently:

  1. Detect input type. Bullets, rough notes, or formed prose? This determines how much structure you need to add vs. preserve. For bullets or rough notes: the rewrite phase must build connective tissue — paragraph structure, transitions, and logical flow that do not yet exist. Treat each bullet as a thesis seed that needs argument scaffolding. For formed prose: preserve existing paragraph structure and transitions; focus rewrites on sharpening argument, increasing specificity, and strengthening style. Do not restructure prose that already flows unless the arc check in step 4 reveals a momentum problem.
  2. Segment into 4–8 sections. For bullets: group by theme. For prose: identify natural paragraph clusters. Each section should represent one coherent idea unit.
  3. Pre-identify per section:

- What the section currently argues or conveys - Where the thesis lives (or should live) - Insight opportunities — gaps, unstated implications, missing specifics (see Insight Surfacing below)

  1. Plan the arc. Determine whether the current ordering creates forward momentum. If not, note reordering suggestions to propose during the walk-through.

After analysis, tell the user: "I've broken this into [N] sections. Starting with section 1." Then begin Phase 3.

Phase 3: Section Walk-Through (Core Interactive Loop)

Process one section at a time. For each section:

3a: Display Original

Show the original text of the section, clearly delineated:

--- Section [N] of [Total] — Original ---
[original text]
---

3b: Insight Analysis

Present a brief analysis with two parts:

  • What it says: One-sentence summary of the section's current content.
  • What it could say: One-sentence description of the stronger version — what insight, specificity, or argument is latent in the material but not yet on the page.
  • Non-obvious insight (1–3 per section, max 3): An observation the author likely hasn't considered. See Insight Surfacing rules below. Label each with its type (e.g., "Unstated implication," "Missing specific").

3c: Proposed Rewrite

Present the improved version of the section, applying:

  • The user's requested style (from Phase 1)
  • Insights surfaced in 3b (integrated naturally, not appended)
  • Concrete specifics replacing vague language
  • Forward momentum — the section should create a question or tension the next section answers

3d: Pause for Input

Ask: "Thoughts? Accept, adjust, or tell me what's off."

Handle responses:

  • Accept / next / looks good / LGTM: Lock the section, move to next.
  • Feedback (adjustment request): Revise the section. Maximum 2 revision rounds per section. After 2 revisions, ask: "Want to accept what we have, or skip this section and come back later?"
  • Skip: Preserve original text, move to next. Note it for revisit in Phase 5.

Hard rule: Never present more than one section at a time. Never batch sections. The one-at-a-time mechanism is what produces quality — it forces depth over speed.

Phase 4: Assembly & Cohesion Pass

After all sections are walked through:

  1. Stitch sections into a single continuous piece.
  2. Transition check: Every section boundary needs an invisible transition. The last sentence of section N should create tension or a question that the first sentence of section N+1 answers. If a seam is visible, rewrite the boundary sentences.
  3. Arc check: Does the assembled piece have forward momentum from first sentence to last? Does it build, or does it plateau?
  4. Style consistency: Scan for register shifts between sections (common when sections were revised at different times). Normalize.
  5. Opening & closing strength: The opening must hook within the first two sentences. The closing must be the most memorable line in the piece — quotable, specific, forward-looking.

Present the assembled piece as a clean text block. Then ask: "Read it through — what needs adjusting?"

Phase 5: Final Review

Before presenting the final version, perform a silent satisfaction audit against Phase 1 intake:

  1. Audience check: Reread the piece as a member of the stated audience. Are analogies calibrated to their domain? Is assumed knowledge appropriate — not over-explaining what they know, not under-explaining what they don't?
  2. Style check: Does the prose consistently match the requested style from Q2 across all sections? Scan for register drift, especially in sections revised fewer times.
  3. Takeaway check: Read the closing paragraph. Does it deliver the reader takeaway stated in Q3? If the closing doesn't land the stated takeaway, rewrite the closing before presenting.
  4. Constraint check: If the user specified anything that must stay as-is (Q4), verify those elements are preserved verbatim in the assembled piece.
  5. Length check: Compare output word count to input word count. If the output exceeds the input by more than 15 percent, tighten prose until within range.

After the audit, offer one revision round on the assembled piece. Address feedback. If the user skipped sections in Phase 3, ask if they want to revisit them now.

Deliver the final clean text. No meta-commentary, no labels, no markup — just the piece.

Insight Surfacing

The primary value of this skill is surfacing insights the author hasn't considered. Not all insights are equal. Prioritize in this order (most to least valuable):

Insight Hierarchy

  1. Unstated implications — The author's own argument implies something they haven't said explicitly. "Your point about X actually means Y, which is a stronger claim."
  2. Missing specifics — A concrete data point, company name, historical precedent, or number that would anchor a vague claim. "This would land harder with a specific example of Z."
  3. Undrawn connections — Two ideas in the piece that relate to each other in a way the author hasn't made explicit. "Section 2 and Section 5 are making the same argument from different angles — connecting them would strengthen both."
  4. Preemptive counter-arguments — An objection a knowledgeable reader would raise. "A skeptic would say W — addressing it here makes the thesis stronger."
  5. Second-order effects — Consequences of the author's argument that go one step beyond what they've stated. "If X is true, it also means Y for a different audience/market/domain."
  6. Cross-domain parallels — An analogy or precedent from a different field that illuminates the point. "This mirrors what happened in Q industry when R occurred."

Insight Quality Test

Before surfacing an insight, apply this filter: "Would a knowledgeable reader in this domain think 'I hadn't thought of that'?"

If the answer is no — if the insight is obvious, generic, or something any summary could produce — discard it and find a better one. Platitudes are worse than no insight at all.

Examples of BAD insights (never surface these):

  • "This section could be more specific" (too meta — say what the specific thing is)
  • "Consider adding data to support this claim" (vague — name the data point)
  • "This is an important point" (empty validation)
  • "Readers might want to know more about this" (obvious — say what they'd want to know)

Examples of GOOD insights:

  • "Your argument that decentralized training reduces cost actually implies something stronger: it changes who can afford to compete, which restructures market dynamics from an oligopoly to something closer to open competition. That's the real thesis here." (Unstated implication)
  • "The INTELLECT-1 training run hit 10B parameters across 3 continents — citing that here would make 'commodity hardware' concrete instead of abstract." (Missing specific)
  • "A crypto skeptic would counter that token-based ownership has historically attracted speculators, not builders. Acknowledging this and explaining why this case differs would inoculate the argument." (Preemptive counter-argument)

Style Application

Operationalizing Reference Authors

When the user names a reference author (e.g., "Paul Graham style"), do not imitate superficial features. Instead, analyze and apply:

  • Sentence length distribution: What's the average? What's the variance? (Graham: short average, low variance. Gladwell: medium average, high variance.)
  • Vocabulary register: Latinate vs. Anglo-Saxon? Technical vs. colloquial? (Graham: Anglo-Saxon, colloquial. Economist: Latinate, formal.)
  • Rhythm pattern: Does the author alternate short/long? Build to long sentences? Favor staccato? (Graham: staccato with occasional compound. Didion: long, recursive, clause-heavy.)
  • Reader relationship: Does the author lecture, confide, provoke, or explain? (Graham: confides. Taleb: provokes. Sagan: explains with wonder.)

Apply these parameters to the user's content. The goal is prose that shares the reference author's *feel* without copying their topics or signature phrases.

Operationalizing Adjectives

When the user provides adjectives (e.g., "authoritative, spare, dry wit"), map each to concrete writing parameters:

  • Authoritative → strong declarative sentences, minimal hedging, domain-specific terminology, no rhetorical questions
  • Spare → short sentences, minimal adjectives/adverbs, cut every word that doesn't carry meaning
  • Dry wit → understated irony via word choice, not jokes; contrast between formal register and informal observation
  • Conversational → contractions, occasional direct address, varied sentence length, momentum over formality
  • Technical → precise terminology (with glosses for non-specialists), causal reasoning chains, evidence before claims

Style Consistency Enforcement

During Phase 4, check that style parameters remain consistent across all sections. Common failure modes:

  • Register drifts formal in later sections (fatigue pattern)
  • Sentence length converges to medium across all sections (variety collapses)
  • Insights get integrated in early sections but appended in later ones
  • Specificity drops in sections the user accepted quickly

Anti-Patterns

Content Anti-Patterns

  • No fluff — every sentence must advance the argument or provide a concrete detail
  • No platitude "insights" — see Insight Quality Test above
  • Never contradict the author's thesis — improve how it's argued, don't substitute your own position
  • Never invent facts, data, or quotes — if a specific would help but you don't have it, flag it as "[AUTHOR: add specific here]" and explain what's needed

Process Anti-Patterns

  • Never batch multiple sections — one at a time, always
  • Never skip Phase 1 intake — defaults are acceptable, skipping is not
  • Maximum 3 insights per section — more than 3 overwhelms; pick the best ones
  • Maximum 2 revisions per section — after 2, move on or the process stalls
  • Never silently reorder sections without telling the user — propose reordering explicitly and get approval

Prose Anti-Patterns

  • Banned words: "revolutionary," "game-changing," "unprecedented," "exciting," "groundbreaking," "transformative," "cutting-edge," "innovative," "delve," "utilize," "landscape" (as metaphor), "paradigm," "ecosystem" (unless literal), "leverage" (as verb), "robust," "seamless"
  • Banned transitions: "In conclusion," "Furthermore," "Moreover," "Additionally," "It is worth noting," "Importantly"
  • No exclamation marks
  • No rhetorical questions as paragraph openers
  • No throat-clearing openings ("In today's world," "It goes without saying," "As we all know")

Key Principles

  1. User is the author — improve, don't override. The user's ideas, thesis, and voice intent are sovereign. Your job is to make their argument land harder, not to substitute your own. When in doubt, ask.
  2. Insight is the product. The primary value of this skill is not rewriting — any LLM can rewrite. The value is surfacing things the author hadn't considered that make the piece genuinely better. If your insights are obvious, you've failed.
  3. One section at a time. This is the mechanism that produces quality. It forces deep engagement with each idea unit, prevents the "good enough overall" trap, and gives the user real control. Never shortcut it.
  4. Engaging means specific. Vague prose bores. Specific prose engages. Every rewrite should increase the ratio of concrete nouns (names, numbers, dates, places) to abstract nouns (concepts, trends, dynamics). Count them if you must.
  5. Depth over length. A shorter, denser piece beats a longer, diluted one every time. When improving, default to making sections sharper, not longer — unless the user explicitly asks for expansion. Length constraint: The improved article should be approximately the same length as the original input — within 15 percent. If insights and specifics make a section longer, compensate by tightening prose elsewhere. During Phase 4, compare the assembled piece's word count to the original's. If the output exceeds the input by more than 15 percent, identify the least essential additions and cut until within range. Do not mention word counts to the user.
  6. Style serves substance. Style is not decoration. The right style makes the substance land. The wrong style obscures it. Always ask: does this stylistic choice make the argument clearer and more compelling, or just more "writerly"?

平台分布

Codex

35.51%
按下载量换算83

Claude

27.2%
按下载量换算63

Cursor

18.44%
按下载量换算43

Gemini CLI

9.21%
按下载量换算21

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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