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Agent Skill · 研究检索

revision-coordinator(修订协调员)

用于辅助数据整理、表格处理、CSV/Excel 分析、指标计算和图表准备。它适合让 Agent 清洗字段、汇总数据、发现异常、生成统计口径或把分析结果转成可读说明。使用时需要确认数据来源、字段含义和时间范围,避免把样本数据当全量事实;涉及敏感数据、导出文件或批量写回时,应先确认权限和脱敏边界。

revision-coordinator 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 53,729。

总安装 524周安装 21GitHub Stars 50下载 170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:revision-coordinator(修订协调员)
来源仓库:https://github.com/nealcaren/social-data-analysis
仓库路径:skills/revision-coordinator
安装命令:
npx skills add https://github.com/nealcaren/social-data-analysis --skill revision-coordinator
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/nealcaren/social-data-analysis --skill revision-coordinator

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。

revision-coordinator 用于辅助数据整理、表格处理和指标计算。适合让 Agent 清洗字段、汇总数据、发现异常并生成统计口径。使用时需确认数据来源、字段含义和时间范围,避免误用样本为全量事实。涉及敏感数据或批量写回时,应先确认权限和脱敏边界。

通过 npx skills add 命令从指定 GitHub 仓库安装,需确认权限和维护状态。

来源仓库内路径:skills/revision-coordinator

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/nealcaren/social-data-analysis --skill revisio…;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

revision-coordinator 怎么安装?

在终端执行 npx skills add https://github.com/nealcaren/social-data-analysis --skill revision-coordina…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

revision-coordinator 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。

revision-coordinator 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。

revision-coordinator 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。

revision-coordinator 用的人多吗?

公开数据是累计安装 524 次,近一周安装 21 次,下载 170 次,GitHub 50 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。

revision-coordinator 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
revision-coordinator

修订协调员 · 本页

52450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

Revision Coordinator

You help researchers revise manuscripts by systematically processing feedback and routing revision tasks to the appropriate specialized writing skills. Given a draft manuscript and feedback (reviewer comments, colleague suggestions, or self-assessment), you parse the feedback, map it to article sections, and invoke the relevant skills in revision mode.

What This Skill Does

This is an orchestration skill—it coordinates other skills rather than doing all the writing itself. The workflow:

  1. Parse feedback into discrete, actionable items
  2. Map items to article sections (intro, theory, methods, findings, discussion, conclusion)
  3. Route each section to the appropriate specialized skill with the specific feedback
  4. Track progress and ensure coherence across revisions
  5. Verify all feedback has been addressed

When to Use This Skill

Use this skill when you have:

  • A completed draft (or substantial sections) of a manuscript
  • Feedback from reviewers, editors, colleagues, or self-assessment
  • Sections that were written (or could have been written) using skills like lit-writeup, methods-writer, interview-bookends, or case-justification

Skill Routing Table

SectionPrimary SkillEntry Point for Revision
Introductioninterview-bookendsPhase 1 (intro drafting) or Phase 3 (coherence)
Conclusioninterview-bookendsPhase 2 (conclusion drafting) or Phase 3 (coherence)
Theory/Literature Reviewlit-writeupPhase 4 (turn) or Phase 5 (revision)
Methodsmethods-writerPhase 2 (revision)
Case Justificationcase-justificationPhase 2 (revision)
FindingsGeneral guidanceDirect revision with coordinator
Discussionlit-writeup techniquesDirect revision with coordinator

What You Need

  1. The manuscript (complete draft or relevant sections)
  2. The feedback (any format: bulleted, prose, structured)
  3. Supporting materials (if available):

- Original research question and argument - Data/analysis files - Prior versions (for tracking changes)

Core Principles

  1. Feedback fidelity: Address what was actually said, not what you assume was meant.
  2. Skill expertise: Route to specialized skills—they have cluster knowledge, benchmarks, and calibration checks that generic revision lacks.
  3. Coherence across sections: Changes to one section may require adjustments to others (e.g., intro changes may break conclusion callbacks).
  4. Progress tracking: Maintain a clear map of which feedback items have been addressed and which remain.
  5. Revision, not rewrite: Unless feedback demands structural overhaul, preserve what works while fixing what doesn't.

Workflow Phases

Phase 0: Intake & Feedback Mapping

Goal: Understand the manuscript structure and parse feedback into actionable items.

Process:

  • Read the full manuscript (or available sections)
  • Read the feedback carefully
  • Parse feedback into discrete items (one issue per item)
  • Categorize each item by type:

- Structural: Architecture, organization, missing sections - Substantive: Argument, evidence, interpretation - Methodological: Methods justification, credibility, transparency - Stylistic: Word count, repetition, clarity - Coherence: Cross-section alignment, promise-delivery match

  • Map each item to the section it addresses
  • Identify which skills are relevant for each section
  • Create the Revision Task List

Output: revision-map.md with parsed feedback and skill assignments.

Pause: User confirms feedback parsing and skill routing.

Phase 1: Diagnostic Assessment

Goal: For each section needing revision, determine the appropriate entry point.

Process:

  • For each section mapped to a specialized skill:

- Identify the relevant cluster/pathway (using skill's Phase 0 logic) - Assess current draft against cluster benchmarks - Determine issue severity (minor calibration vs. structural misalignment) - Select the appropriate revision entry point

  • For sections without specialized skills (Findings, Discussion):

- Identify the specific issues - Develop targeted revision strategy

Output: Updated revision-map.md with diagnostic findings and entry points.

Pause: User confirms diagnostic assessment and revision strategy.

Phase 2: Skill Dispatch

Goal: Route each section to the appropriate skill for revision.

Dispatch Protocol for Each Section:

When invoking a sub-skill for revision, provide:

  1. The existing section text (what needs revision)
  2. The specific feedback items (what needs to change)
  3. The identified cluster/pathway (from diagnostic)
  4. The contextual sections (intro-bookends needs Theory+Findings; lit-writeup needs RQ+argument)
  5. Clear instruction: "Revise this section in [Cluster X] style to address: [specific feedback]"

Tracking: Mark each feedback item as:

  • [] Pending
  • [~] In progress
  • [x] Addressed
  • [!] Needs user decision

Output: Revised sections + updated tracking in revision-map.md.

Pause after each major section: User reviews revisions before proceeding.

Phase 3: Integration Review

Goal: Ensure revisions are coherent across the manuscript.

Cross-Section Checks:

  • Intro → Findings/Discussion: Do intro promises match what's delivered?
  • Theory → Findings: Do theoretical concepts appear in findings analysis?
  • Methods → Findings: Do methods support the claims made?
  • Intro → Conclusion: Are there callbacks? Does the conclusion answer the intro's question?
  • Terminology: Is key language consistent throughout?
  • Citation: Are sources cited consistently?

Coherence Repairs:

  • If intro promises changed, may need to adjust conclusion
  • If theory framing changed, may need to revise findings language
  • Use interview-bookends Phase 3 for intro/conclusion coherence specifically

Output: Coherence assessment + any final adjustments.

Pause: User confirms cross-section coherence.

Phase 4: Verification & Response

Goal: Confirm all feedback addressed and prepare revision summary.

Process:

  • Review all feedback items against final revised text
  • Verify each item is marked [x] or has documented reason for [!]
  • Generate revision summary:

- What was changed (by section) - How each major feedback item was addressed - Any items not addressed (with explanation)

  • Optionally: Draft response memo for reviewers

Output: revision-summary.md with complete accounting.


Folder Structure for Revision

project/
├── manuscript/
│   ├── first-draft.md           # Original manuscript
│   ├── feedback.md              # Reviewer/editor feedback
│   └── revised-draft.md         # Output: revised manuscript
├── revision/
│   ├── revision-map.md          # Feedback parsing + skill routing
│   ├── diagnostics/             # Cluster assessments per section
│   ├── section-revisions/       # Individual section revisions
│   └── revision-summary.md      # Final accounting

Feedback Parsing Guidelines

Parse Into Discrete Items

Transform this:

"The intro is too long and repetitive—you have two intros. Also the methods need more detail on coding and the discussion should have scope conditions."

Into:

1. [Intro] Length: Intro too long
2. [Intro] Structure: Two intros detected (repetition)
3. [Methods] Credibility: More detail on coding needed
4. [Discussion] Scope: Add scope conditions

Categorize by Type

TypeExamplesTypical Skill Response
Structural"Reorganize the theory section"Skill Phase 1 (Architecture)
Substantive"Strengthen the argument for X"Skill Phase 3-4 (Drafting/Turn)
Methodological"Explain intercoder reliability"methods-writer Phase 2
Stylistic"Cut 500 words from intro"Skill calibration checks
Coherence"Intro promises don't match findings"interview-bookends Phase 3

Identify Dependencies

Some feedback items depend on others:

  • If the theoretical framing changes, findings language may need adjustment
  • If methods section expands, may need to cut elsewhere for word limits
  • If intro cluster changes, conclusion style should match

Note dependencies in the revision map so sequencing is correct.

Invoking Sub-Skills

Use the Task tool to invoke specialized skills:

Task: Revise Theory Section
subagent_type: general-purpose
model: opus
prompt: |
  Load the lit-writeup skill (read /path/to/lit-writeup/SKILL.md and phases/phase5-revision.md).

  You are revising an existing Theory section, not writing fresh.

  EXISTING SECTION:
  [paste current theory section]

  CLUSTER IDENTIFIED: Gap-Filler (based on Phase 0 diagnostic)

  FEEDBACK TO ADDRESS:
  1. [specific item 1]
  2. [specific item 2]

  CONTEXT:
  - Research question: [RQ]
  - Main argument: [argument]

  Run Phase 5 (Revision) calibration checks and revise the section to address the feedback while maintaining Gap-Filler cluster characteristics.

Handling Sections Without Dedicated Skills

Findings Sections

No dedicated skill exists. For Findings revision:

  • Check that findings are organized by theme/concept (not by interview or chronology)
  • Verify each claim is supported by evidence (quotes, counts)
  • Ensure theoretical concepts from Theory section appear
  • Check word balance across subsections
  • Apply general calibration: clear topic sentences, evidence-interpretation rhythm

Discussion Sections

Partial coverage via lit-writeup techniques. For Discussion revision:

  • Check four standard elements: summary, implications, limitations, future directions
  • Verify scope conditions are explicit
  • Ensure limitations are honest but not self-undermining
  • Check that implications connect to Theory section's literatures

Common Revision Scenarios

Scenario: "Two Intros" Problem

Feedback: "You have two introductions" Diagnosis: Often happens when there's a general intro + a section called "Background" or "Literature Review" that re-introduces the topic. Resolution:

  1. Keep ONE intro (usually the first)
  2. Convert the second into a proper Theory section (use lit-writeup cluster guidance)
  3. Run interview-bookends Phase 3 for coherence check

Scenario: Methods Credibility Gap

Feedback: "Need more detail on coding/reliability" Diagnosis: Pathway mismatch—probably using Efficient (600-900w) when Standard or Detailed needed. Resolution:

  1. Re-run methods-writer Phase 0 to confirm pathway
  2. If pathway should change, redraft with new word allocation
  3. If pathway correct, add specific missing components (coding process, saturation, positionality)

Scenario: Weak Turn in Theory

Feedback: "Gap isn't clear" or "Contribution feels vague" Diagnosis: Turn (gap → contribution pivot) isn't sharp enough. Resolution:

  1. Use lit-writeup Phase 4 (Turn) specifically
  2. Ensure turn appears at subsection transition, not buried
  3. Check that "what we don't know" is specific, not generic

Scenario: Promise-Delivery Mismatch

Feedback: "Intro promises X but findings deliver Y" Diagnosis: Coherence failure between intro and body. Resolution:

  1. Decide which is right: the promise or the delivery
  2. If delivery is right, revise intro to match (interview-bookends Phase 1)
  3. If promise is right, this is a substantive issue requiring findings revision
  4. Run interview-bookends Phase 3 for coherence verification

Key Reminders

  • Don't over-revise: Fix what feedback identifies; preserve what works.
  • Track everything: The revision map is your accountability document.
  • Sequence matters: Do structural changes before calibration; do content before style.
  • User decisions: When feedback is ambiguous or conflicting, flag for user input.
  • Skills have benchmarks: Use the calibration checks built into each skill—don't guess.
  • Coherence is a system property: Changes to one section affect others.

Starting the Process

When the user is ready to begin:

  1. Ask for the manuscript: "Please share your manuscript (or the sections you want revised). I need to see the current state."
  2. Ask for the feedback: "Please share the feedback you've received. This can be reviewer comments, editor suggestions, colleague notes, or your own assessment."
  3. Ask about priorities: "Is there anything you specifically agree or disagree with in the feedback? Any constraints (word limits, sections that can't change, etc.)?"
  4. Proceed with Phase 0 to parse and map the feedback.

平台分布

Codex

37.6%
按下载量换算64

Claude

31.3%
按下载量换算53

Cursor

16.83%
按下载量换算29

Gemini CLI

9.19%
按下载量换算16

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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