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Agent Skill · 研究检索

design-doc-reviewer(设计文档审阅者)

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。

design-doc-reviewer 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,权限为操作浏览器;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 73,543。

总安装 1周安装 12GitHub Stars 公开资料未说明下载 97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:design-doc-reviewer(设计文档审阅者)
来源仓库:https://github.com/eho/agent-skills
仓库路径:skills/design-doc-reviewer
安装命令:
npx skills add https://github.com/eho/agent-skills --skill design-doc-reviewer
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/eho/agent-skills --skill design-doc-reviewer

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。

用于对设计文档进行结构化评审,输出具体、可操作的意见反馈。适合检查文档完整性、术语一致性及与产品愿景的对齐情况。基于质量清单逐项评估,确保评审结果直接关联文档内容而非泛泛而谈。需结合项目上下文判断,不擅自修改文档内容或添加未经验证的建议。

design-doc-reviewer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/design-doc-reviewer

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/eho/agent-skills --skill design-doc-reviewer;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

    它需要操作浏览器,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

design-doc-reviewer 怎么安装?

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

design-doc-reviewer 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。

design-doc-reviewer 需要什么权限?

权限级别是操作浏览器。该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

design-doc-reviewer 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。

design-doc-reviewer 用的人多吗?

公开数据是累计安装 1 次,近一周安装 12 次,下载 97 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。

design-doc-reviewer 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。

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。

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
design-doc-reviewer

设计文档审阅者 · 本页

1—操作浏览器未明确通过

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

Design Doc Reviewer

Produce structured, actionable review feedback on a design document. Reviews should be specific — not generic praise or criticism — and directly tied to content in the doc.


The Job

  1. Identify which document to review (from the user's message, or ask)
  2. Read the design doc in full
  3. Read the vision doc (docs/vision/vision.md) for product alignment context
  4. Evaluate the doc against the quality rubric below
  5. Output the review in the structured format below

Step 1: Locate the Document

If the user didn't specify a path, check docs/design/ for recent files. Ask if ambiguous. Read the doc fully before evaluating.

Also read (if they exist):

  • docs/vision/vision.md or equivalent product vision doc — to check product alignment
  • Any directly related existing designs or architecture docs if referenced

Step 2: Evaluate Against the Rubric

Score each element as: ✅ Present & Strong / ⚠️ Partial or Unclear / ❌ Missing

Required Elements

#ElementWhat to look for
1Problem StatementConcrete pain or gap — not "we want to add X." Should answer: what breaks today without this?
2GoalsNumbered, specific, and measurable. Can you tell when a goal is met?
3Success MetricsHow will success be measured post-implementation? Quantifiable where possible (latency, error rate, adoption).
4Non-GoalsExplicit list of what's out of scope and why. Missing = the doc hasn't thought about scope.
5Alternatives ConsideredAt least 2 alternative approaches with rationale for rejection. Missing = the chosen approach feels arbitrary.
6Design PrinciplesNamed principles (not just description of approach). Serve as tie-breakers for ambiguous choices.
7Vision AlignmentIf a vision doc exists: does the design explicitly connect its choices to the product vision? Does it justify any tension? Not just "this aligns" — it should name specific vision goals it advances. Omitted is fine only if no vision doc exists.
8Architecture OverviewDiagram or component list. Reader should understand the system model without reading all prose.
9API & Data ContractsExact interfaces, schemas, or payloads — not just descriptions. What gets stored, where, in what format. Strict enough for an implementer to code against.
10Integration PointsWhich existing files, APIs, events, or hooks are modified. Specific — file names and function names.
11Sequence / Flow WalkthroughStep-by-step for the critical path. ASCII diagram or numbered sequence for complex async flows.
12Example OutputWhat does the user actually see? JSON response, CLI output, UI state, or file content example.
13ConfigurationEnv vars, feature flags, or tunables — with defaults, types, and descriptions.
14Testing StrategyNot just "we'll write unit tests." Names specific test cases, edge cases, and integration scenarios.
15Edge Cases & FailuresWhat can go wrong? For each failure mode: how is it detected, and what's the mitigation?
16RisksKnown technical or product risks, with likelihood, impact, and mitigation plan for each.
17Open QuestionsDoes the doc itself include an explicit list of unresolved decisions or unknowns? Their presence signals intellectual honesty; their absence may mean the author hasn't surfaced real uncertainty.
18Context Required for ImplementationDoes the doc list exact file paths an implementer must read before starting? Missing = the implementer has to rediscover context.
19User StoriesAre there well-formed user stories with acceptance criteria? See User Story Quality below.
20Future ExtensionsIdeas deferred with rationale. Shows the design is part of a roadmap, not a closed system.

Quality Signals (score holistically)

  • Principle-driven consistency: Do implementation choices trace back to stated principles? Or do choices feel arbitrary?
  • State ownership clarity: For every piece of mutable state, is it clear who creates/reads/modifies it?
  • Decision rationale: For significant architectural choices, does the doc answer "why not the alternative"?
  • Concrete over abstract: Does the doc use real examples (JSON, file paths, code, CLI output) or only prose?
  • Failure path coverage: Does the doc only describe the happy path, or does it address what happens when things go wrong?
  • Product alignment: Does the Vision Alignment section make a substantive argument, or is it hand-waving? Does it name specific vision goals?
  • Scope discipline: Is the design appropriately scoped, or is it trying to solve everything at once?

User Story Quality (evaluate each story)

Apply the Agent-Ready Test to every user story: could an AI agent implement this story without asking for more information? If "No" or "Maybe," the story needs more detail.

  • Self-contained: Does each story include enough context (file paths, data contracts, relevant interfaces) that an agent doesn't need to read the full design doc?
  • Acceptance criteria are binary: Every criterion must be verifiable — "works correctly" fails, "returns 404 when user ID doesn't exist" passes.
  • Testing requirements present: Every story must have explicit testing AC (unit tests for logic, browser verification for UI). No exceptions.
  • Documentation requirements present: Stories that add user-facing functionality, CLI flags, API endpoints, or architectural changes must include AC to update the specific doc file. "Update docs if applicable" is not acceptable — the file must be named.
  • Granularity: Stories should be minimized in count but each small enough for an agent to complete in one focused session. Not over-fragmented, not combining unrelated tasks.
  • Grounded in design: Do stories reference exact file paths, function names, and data contracts from the design sections? Or are they disconnected from the technical work above?

Step 3: Output the Review

Use this exact structure:


Design Doc Review: [Document Title]

File: docs/design/[filename].md Reviewed: [today's date] Overall Assessment: [1–2 sentences. What's the doc's current state? Is it ready to implement, needs revision, or needs substantial work?]


Scorecard
ElementStatusNotes
Problem Statement✅/⚠️/❌[specific observation]
Goals✅/⚠️/❌[specific observation]
Success Metrics✅/⚠️/❌[specific observation]
Non-Goals✅/⚠️/❌[specific observation]
Alternatives Considered✅/⚠️/❌[specific observation]
Design Principles✅/⚠️/❌[specific observation]
Vision Alignment✅/⚠️/❌[specific observation]
Architecture Overview✅/⚠️/❌[specific observation]
API & Data Contracts✅/⚠️/❌[specific observation]
Integration Points✅/⚠️/❌[specific observation]
Sequence / Flow✅/⚠️/❌[specific observation]
Example Output✅/⚠️/❌[specific observation]
Configuration✅/⚠️/❌[specific observation]
Testing Strategy✅/⚠️/❌[specific observation]
Observability & Logging✅/⚠️/❌[specific observation]
Edge Cases & Failures✅/⚠️/❌[specific observation]
Risks✅/⚠️/❌[specific observation]
Open Questions✅/⚠️/❌[specific observation]
Context Required for Implementation✅/⚠️/❌[specific observation]
User Stories✅/⚠️/❌[specific observation]
Future Extensions✅/⚠️/❌[specific observation]

Score: X/21 elements present and strong


Strengths

List 2–4 specific strengths. Reference actual content from the doc (quote sections, describe specific design decisions). Don't be generic.

  • [Strength title]: [specific observation with reference to doc content]

Critical Gaps (must fix before implementation)

Issues that could cause implementation problems, ambiguity, or rework. Be specific about what's missing and what the impact is.

  • [Gap title]: [what's missing, why it matters, and a concrete suggestion for how to address it]

Minor Issues (should fix, but not blocking)
  • [Issue title]: [what's unclear or incomplete, and how to improve it]

Additional Open Questions

Questions the doc hasn't answered that an implementer would need to resolve — beyond any already listed in the doc itself:

  1. [Question]
  2. [Question]

Recommended Next Steps

Prioritized list of what the author should do before this doc is ready to implement:

  1. [Highest priority action]
  2. [Next action]
  3. ...

Output

Save the review as docs/design/review-[original-filename].md (e.g., reviewing docs/design/auth-redesign.md → save to docs/design/review-auth-redesign.md). Then tell the user the file was saved and summarize the score and top 2–3 critical gaps in a short message.


Review Principles

  • Be specific, not generic. "The testing strategy is weak" is not useful. "The testing strategy lists unit tests but doesn't name a single test case or edge case" is useful.
  • Quote the doc. Reference actual sections, headings, or excerpts. This proves you read it and helps the author find exactly what to fix.
  • Separate blockers from polish. Critical gaps block implementation. Minor issues are improvements. Don't conflate them.
  • Acknowledge what's strong. A good review isn't only criticism. Noting what works well is as important as noting what doesn't — it tells the author what not to change.
  • Propose, don't just critique. For every gap, suggest what's needed. "Add an edge cases table covering: DB lock failure, OS permission denial, and partial write crash" is more useful than "edge cases are missing."
  • Respect scope. Don't ask the doc to solve everything. If something is intentionally deferred, acknowledge it — don't flag it as a gap.

平台分布

Codex

35.45%
按下载量换算34

Claude

28.79%
按下载量换算28

Cursor

19.69%
按下载量换算19

Gemini CLI

9.5%
按下载量换算9

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

操作浏览器

该 Skill 可能涉及浏览器控制能力,使用时可能读取或操作网页内容,需要在受控环境中确认权限边界。

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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