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Agent Skill · 研究检索

compound-eng-writing(复合英语写作)

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。

compound-eng-writing 是研究检索类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,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 13,997。

总安装 8,914周安装 379GitHub Stars 公开资料未说明下载 3,123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-0
版本
3.0.5

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:compound-eng-writing(复合英语写作)
来源仓库:https://github.com/iliaal/compound-eng-writing
安装命令:
openclaw skills install compound-eng-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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install compound-eng-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。

辅助整理与改写文档、README 和内容稿件,提升文本可读性。适合提炼结构、统一术语、补齐章节或检查链接有效性。compound-eng-writing 属于研究检索类 Skill,可作为该场景下的辅助能力补充。保留项目已有事实与路径,避免将未确认信息写成确定结论。涉及对外文案时需控制语气,防止过度营销或夸大能力。

安装前应核实权限、维护状态及是否会触发文件读写操作。

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 OpenClaw;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 openclaw skills install compound-eng-writing;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

    它需要需要联网,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

compound-eng-writing 怎么安装?

在终端执行 openclaw skills install compound-eng-writing。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

compound-eng-writing 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。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。

compound-eng-writing 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

compound-eng-writing 是免费的吗?

来源标注的许可证是 MIT-0。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。

compound-eng-writing 用的人多吗?

公开数据是累计安装 8,914 次,近一周安装 379 次,下载 3,123 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。

compound-eng-writing 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

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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 OpenClaw,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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
compound-eng-writing

复合英语写作 · 本页

8,914—需要联网MIT-0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

name
ia-writing
class
discipline
description
>-

Human Writing

Core Principles

  • Active voice: "We shipped the fix" not "The fix was shipped"
  • Name the actor: Every sentence needs a human subject doing something. Inanimate objects don't fix bugs, shift cultures, or tell us anything -- a person does.
  • Specific over vague: "Cut reporting from 4 hours to 15 minutes" not "Save time"
  • Simple words: "Use" not "utilize", "help" not "facilitate", "start" not "initiate"
  • Positive form: Say what it is, not what it isn't -- "Ignore" not "Do not pay attention to"
  • Confident: Cut "almost", "very", "really", "quite", "arguably", and all -ly adverbs
  • Concrete: Name the thing, state the number, cite the source
  • Omit needless words: "Because" not "due to the fact that"; "Now" not "at this point in time"; "Can" not "has the ability to"
  • Use contractions: "don't", "won't", "it's", "they're" -- uncontracted forms are a major AI tell
  • Put the reader in the room: "You" beats "People." Specifics beat abstractions. Avoid narrating from a distance.

AI Patterns -- Kill on Sight

Vocabulary: delve, crucial, pivotal, foster, leverage, tapestry, testament, underscore, vibrant, landscape (abstract), shape (abstract, as in "previous shape" / "the shape of the problem"), interplay, multifaceted, enhance, enduring, garner, showcase, Additionally, seamless, robust, cutting-edge, groundbreaking, nestled, renowned

Structural tells:

  • Rule of three: forced triads ("streamline, optimize, and enhance")
  • Negative parallelism: "It's not just X -- it's Y" / "Not X. But Y." → state Y directly
  • Superficial -ing phrases: "ensuring reliability", "showcasing features"
  • Copula avoidance: "serves as", "stands as", "boasts" -- use "is", "has"
  • Synonym cycling: four names for the same thing in four sentences
  • False ranges: "from X to Y" where X and Y aren't on a meaningful scale
  • Formulaic challenges: "Despite X, Y continues to thrive"
  • Dramatic fragmentation: "[Noun]. That's it. That's the [thing]." -- performative simplicity
  • Rhetorical setups: "What if I told you..." / "Think about it:" / "Here's what I mean:"
  • Wh- sentence openers: sentences starting with What/When/Where/Which/Who/Why/How as filler. Restructure to lead with the subject or verb.
  • Narrator-from-a-distance: "This happens because...", "People tend to...", "Nobody designed this." Put the reader in the room instead.
  • Lazy extremes: every, always, never, everyone, nobody -- false authority. Use specifics instead of sweeping claims.
  • Meta-commentary: "Hint:", "Plot twist:", "Spoiler:", "In this section, we'll...", "As we'll see...", "Let me walk you through..."

Formatting tells:

  • Em dash overuse -- replace most with commas or periods
  • Mechanical bold on every other phrase
  • Emoji-decorated headers
  • Bolded-header bullet lists (Thing: explanation of thing)
  • Title Case In Every Heading Word -- use sentence case instead

Banned phrases -- delete and rewrite on sight. See references/phrases.md for the full list.

Core offenders:

  • "In today's rapidly evolving landscape"
  • "game-changer", "revolutionary", "transformative"
  • "Moreover", "Furthermore", "Additionally" (as sentence starters)
  • "It's worth noting that", "It is important to note that"
  • "At the end of the day"
  • "Here's the thing:" / "It turns out" / "Let me be clear" / "The uncomfortable truth is"
  • "Full stop." / "Let that sink in." / "Make no mistake"
  • "In order to" → "To" | "Due to the fact that" → "Because"
  • Generic conclusions: "The future looks bright" → state the actual plan

Communication artifacts (remove entirely):

  • "Great question!", "I hope this helps!", "Let me know if..."
  • "As of my last update", "based on available information"
  • Sycophantic openers and vague attributions ("Experts argue", "Industry reports suggest")

False Agency

AI avoids naming actors by giving inanimate things human verbs. Find the person; put them at the front of the sentence.

AI slopFix
"the complaint becomes a fix"Someone fixed it
"the data tells us"Name who read it and what they concluded
"the decision emerges"Someone decided
"the culture shifts"People changed their behavior
"the market rewards"Buyers paid for it
"the conversation moves toward"Someone steered it
"a bet lives or dies"Someone kills or ships it

If no specific person fits, use "you" to put the reader in the seat. Person rules: use "you" when addressing the reader directly, "we" for organizational actions, "I" for personal voice. Avoid third-person passive ("it was decided") -- name the actor.

Quality Gate

Before delivering prose, run two checks:

Quick audit (binary, kill anything that triggers):

  • Any adverbs? Kill them.
  • Any passive voice? Find the actor, make them the subject.
  • Inanimate thing doing a human verb? Name the person.
  • "Not X, it's Y" contrast? State Y directly.
  • Three consecutive sentences match length? Break one.
  • Em-dash anywhere? Replace with comma or period.
  • Vague declarative ("The implications are significant")? Name the specific implication.
  • Meta-joiner ("The rest of this section...")? Delete. Let the text move.

Five-dimension scoring (rate 1-10 each):

DimensionQuestion
DirectnessStatements or announcements?
RhythmVaried or metronomic?
TrustRespects reader intelligence?
AuthenticitySounds human?
DensityAnything cuttable?

Below 35/50: revise before delivering.

Long-form audit workflow -- for documents, essays, and research content, run a two-phase pass to avoid fix-as-you-go bias (fixing one tell while missing three others). This section reuses the vocabulary and structural tells from "AI Patterns -- Kill on Sight" above but adds named tags for tracking and a structured fix table. Short-form edits can use the Kill-on-Sight list directly; long-form audits should use the tag-based workflow below.

*Phase 1 -- Audit*: Read the full text without changing anything. Quote the shortest offending snippet (≤12 words) and append every applicable tag. Stack tags if multiple tells land in one sentence. One numbered line per offense. End with — END AUDIT: [n] issues found —. If zero, write — AUDIT COMPLETE: 0 issues — and skip Phase 2.

Tag vocabulary (extend the earlier prose rules with these named IDs):

TagWhat it catches
[FALSE-AGENCY]Inanimate subject with a human verb ("the data tells us")
[BINARY-CONTRAST]"Not X, it's Y" / "It's not about X. It's about Y." constructions
[STACCATO]Punchy fragment sequences simulating manufactured rhythm ("This matters. A lot. Here's why.")
[ELEGANT-VAR]Synonym cycling: four names for the same entity across four sentences
[NOT-ONLY-BUT]False-pivot contrasts: "Not only X, but also Y" and variants
[RULE-OF-3]Forced triads ("streamline, optimize, and enhance")
[INFLATED] / [PROMO]Puffery and promotional gloss without a verifiable claim
[SUPERFICIAL-ING]Trailing -ing phrases that add no information ("ensuring reliability")
[AI-LEX]Vocabulary tells (delve, crucial, pivotal, leverage, tapestry, robust...)
[VAGUE-ATTR] / [WEASEL]"Experts argue", "studies show" without specific source
[META-COMMENTARY]Structural self-reference ("In this section, we'll...", "Let me walk you through...")
[EM-DASH]Any em or en dash -- restructure, don't preserve
[INLINE-BOLD] / [INLINE-LIST] / [TITLE-CASE]Mechanical formatting tells
[VAGUE-DECLARATIVE]"The implications are significant" without naming the implication
[PASSIVE] / [ADVERB] / [BANNED-PHRASE]Standard corrections
[CURLY-QUOTES]Curly single or double quotes (’ ‘ “ ”) in running prose. AI autocorrect artifact — replace with straight ASCII quotes.
[EMOJI]Emoji in running text or headings. Functional UI emoji in product copy is fine; editorial/promotional emoji is an AI tell.
[FALSE-RANGE]"From X to Y" where X and Y aren't on a coherent scale ("from code review to cultural shift"). Restructure to state both items without implying a continuum.

Severity suffixes when tagging: +H for high severity (strong tell or compound patterns), +S for structural (affects document structure, not just wording).

*Phase 2 -- Rewrite*: Correct tagged items in a single pass using the fix table below. Preserve everything not flagged; no scope creep. Verify no new tells were introduced during rewriting.

TagsFix action
[INFLATED] [PROMO] [VAGUE-DECLARATIVE]Delete puffery or replace with a specific factual claim. If no fact exists, cut entirely.
[SUPERFICIAL-ING]Remove the -ing phrase or convert to a separate sentence with substance.
[AI-LEX]Replace with a plainer synonym or restructure to eliminate the word.
[NOT-ONLY-BUT] [RULE-OF-3] [BINARY-CONTRAST]Break the pattern. State Y directly.
[STACCATO]Reconstruct into a single flowing sentence that matches the source material's natural rhythm.
[ELEGANT-VAR]Pick one term and use it consistently (or use pronouns).
[VAGUE-ATTR] [WEASEL]Name the source, add a quantifier, or delete the claim.
[EM-DASH]Remove entirely. Restructure the sentence: split, comma, colon, or rewrite. Never preserve the dash.
[FALSE-AGENCY]Name the human actor; put them at the front of the sentence.
[META-COMMENTARY]Delete. Let the text move without announcing itself.
[INLINE-BOLD] [INLINE-LIST] [TITLE-CASE]Strip excess formatting; sentence case for headings.

For documents with references or citations, also tag: [OAICITE] (malformed AI citation artifacts), [LINK-ROT] (dead or placeholder URLs), [ISBN-DOI-FAIL] (invalid identifiers), [REF-BUG] (misformatted references, wrong numbering, dangling footnotes). See references/audit-workflow.md for the full procedure.

Output format:

## AUDIT
1. "quoted snippet" [TAG] [TAG +H]
2. "quoted snippet" [TAG]
...
— END AUDIT: [n] issues found —

## CORRECTED TEXT
[full corrected text]

## CHANGELOG
- Line/section: brief description of change
- Line/section: brief description of change

Voice

  • Have opinions -- react to facts, don't just report them
  • Vary rhythm -- short sentences, then longer ones. Mix it up.
  • Acknowledge complexity -- "impressive but also unsettling" beats "impressive"
  • Use first person when appropriate -- "I keep coming back to..." signals a real person
  • Be specific about feelings -- not "this is concerning" but name what unsettles you
  • Let some mess in -- fragments ("Because that's real."), conjunction starters ("But that changes everything."), parentheticals (thinking mid-sentence) -- all signal a human drafting, not generating

Composition

  • One paragraph, one topic. Lead with the topic sentence.
  • Keep related words together. Place emphatic words at end of sentence.
  • Don't join independent clauses with a comma. Don't break sentences in two.
  • Beginning participial phrase must refer to the grammatical subject.
  • Match tone to context: casual for blogs, precise for docs, direct for UI text.

Self-Check

Short-form (commits, PR descriptions, comments): checks 1-4 only. Long-form (blog posts, docs, essays): run the full Quality Gate above, then checks 1-5.

  1. Read every sentence aloud. If it sounds like a press release, Wikipedia, or chatbot -- rewrite.
  2. Ctrl-F the banned-phrases list. Zero matches required.
  3. Check for false agency: any inanimate thing performing a human verb? Name the person.
  4. Check for em dash overuse, mechanical bold, and synonym cycling.
  5. Cut quotables: if a sentence sounds like a pull-quote or aphorism, rewrite it.

Changelog Voice

  • Sell test: every bullet should pass "would a user reading this think 'I want to try that'?" Lead with what the user can now *do*, not implementation details. "You can now filter by date range" not "Refactored the query builder to support date predicates"
  • User-facing vs internal: internal changes (refactors, dependency bumps, CI fixes) belong in a separate "For contributors" subsection, not mixed with user-facing bullets
  • Verb tense: past tense for what changed ("Added", "Fixed"), not present ("Adds", "Fixes")

PR / MR Descriptions

For pull-request and merge-request descriptions, match length to change complexity (1 sentence for trivial, full narrative for architecturally significant). Lead with Before / After / Scope rationale; describe net end state, not iteration journey; pick Mermaid for topology, tables for grids. See references/pr-descriptions.md for the sizing matrix, narrative frame, GitHub-specific hazards (#NN auto-link trap), and the self-check list.

See references/examples.md for before/after transformations.

平台分布

OpenClaw

74.42%
按下载量换算2,324

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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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