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review-response审查回复

Agent Skill

review-response 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。

总安装

661

周安装

27

GitHub Stars

66

下载量

212
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

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:review-response(审查回复)
来源仓库:https://github.com/indranilbanerjee/digital-marketing-pro
仓库路径:skills/review-response
安装命令:
npx skills add https://github.com/indranilbanerjee/digital-marketing-pro --skill review-response
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/indranilbanerjee/digital-marketing-pro --skill review-response

简介

review-response 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合围绕仓库状态和代码变更进行整理。

  • 适用于需要同步项目进展、跟踪协作事项或分析代码变更的待分类场景。
  • 通过调用可获取仓库元数据、Issue 内容和 PR 详情等信息。
  • 安装前需确认权限范围和维护状态,注意是否会触发网络请求或文件操作。
  • 可通过 npx skills add 命令从指定 GitHub 仓库安装使用。

SKILL.md

/dm:review-response

Purpose

Generate professional, brand-aligned review responses for positive, neutral, and negative reviews across any platform. Ensures every response maintains brand voice, addresses the reviewer's specific points, and follows best practices for reputation management and customer recovery.

Input Required

The user must provide (or will be prompted for):

  • Review text: The full text of the review to respond to
  • Rating: Star rating (1-5 stars)
  • Platform: Where the review was posted (Google, Yelp, G2, Capterra, Trustpilot, Amazon, TripAdvisor, App Store, etc.)
  • Reviewer name: Display name of the reviewer (optional — for personalization)
  • Specific issue mentioned: Key complaint, praise, or topic raised in the review (optional — for targeted response)
  • Business context: Any internal context about the situation — was the issue resolved, is there a known product bug, was there a service failure (optional — helps craft an accurate response)
  • Batch mode: If responding to multiple reviews, provide them as a set for consistent tone and varied language
  • Response speed requirement: Whether the review needs an urgent response (crisis situation) or standard turnaround
  • Internal resolution status: Whether the issue has been fixed, is in progress, or is unresolved (for negative reviews — helps determine what to promise)

Process

  1. Load brand context: Read ~/.claude-marketing/brands/_active-brand.json for the active slug, then load ~/.claude-marketing/brands/{slug}/profile.json. Apply brand voice, compliance rules for target markets (skills/context-engine/compliance-rules.md), and industry context. Also check for guidelines at ~/.claude-marketing/brands/{slug}/guidelines/_manifest.json — if present, load restrictions and relevant category files. Check for custom templates at ~/.claude-marketing/brands/{slug}/templates/. Check for agency SOPs at ~/.claude-marketing/sops/. If no brand exists, ask: "Set up a brand first (/dm:brand-setup)?" — or proceed with defaults.
  2. Apply brand voice settings: Load voice-and-tone guidelines and any channel-specific style rules for the review platform — review responses often require a warmer, more personal tone than other brand communications
  3. Classify review sentiment and severity: Categorize as positive (4-5 stars), neutral (3 stars), or negative (1-2 stars) — further classify negative reviews by severity level: minor complaint, service failure, product defect, or safety/legal issue
  4. For negative reviews: Acknowledge the specific concern by name, express genuine empathy without generic platitudes, take responsibility where appropriate, offer a concrete resolution path with specifics, and move the conversation offline with a direct contact method (email or phone)
  5. For positive reviews: Express sincere gratitude, reinforce the specific aspect the reviewer praised, add a personal or humanizing touch, and encourage continued engagement — mention related products, services, or referral programs where natural
  6. For neutral reviews: Acknowledge the balanced feedback, address any specific concerns raised with actionable detail, highlight relevant brand strengths without being defensive or dismissive, and invite further dialogue to improve their experience
  7. Check brand guidelines for approved response language: Verify the response against any restricted terms, required disclosures, legal disclaimers, or mandated response elements in the brand guidelines
  8. Apply platform conventions: Adjust response length, formatting, and tone for platform norms — Google (concise), Yelp (conversational), G2 (professional), TripAdvisor (hospitality-focused), etc.
  9. Score response for brand voice alignment: Evaluate the drafted response against brand voice parameters — tone, formality, warmth, and personality — and adjust until the response sounds authentically on-brand
  10. Check for common pitfalls: Ensure the response avoids defensiveness, blame-shifting, over-promising, disclosing private information, or using repetitive language across multiple review responses
  11. Optimize for SEO where applicable: On platforms where responses are indexed (Google, Yelp), naturally incorporate relevant keywords and business name without sounding forced
  12. Generate batch variations: If responding to multiple similar reviews, vary the language, structure, and opening to avoid templated-sounding responses that damage authenticity

Output

A structured review response package containing:

  • Ready-to-post review response: Primary response tailored to the platform's character limits, conventions, and audience expectations
  • Alternative versions: Formal and casual variants for flexibility, plus a shorter version if the primary response exceeds platform norms
  • Response guidelines: Platform-specific best practices applied — recommended length, optimal tone, ideal response timing, and SEO considerations
  • Escalation recommendation: For negative reviews — whether this requires manager involvement, legal review, product team notification, or immediate offline outreach
  • Response quality score: Brand voice alignment rating and checklist of best practices applied
  • Follow-up note: Suggested internal action items if the review reveals a systemic issue worth addressing
  • SEO keywords applied: For indexed platforms, keywords naturally incorporated into the response
  • Tone analysis: Breakdown of the response tone (empathetic, grateful, professional, warm) matched against brand voice settings
  • Response timing recommendation: Optimal window for posting the response based on platform algorithms and customer expectations
  • Template extraction: If the response is strong, a generalized template version saved for future similar reviews

Agents Used

  • content-creator — Response copywriting, tone calibration, personalization, platform-appropriate language, alternative version drafting
  • brand-guardian — Voice consistency enforcement, guideline compliance, restricted language checks, escalation assessment, legal sensitivity review

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

35.02%
按下载量换算74

Claude

31.04%
按下载量换算66

Cursor

20.15%
按下载量换算43

Gemini CLI

9.65%
按下载量换算20

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。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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