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skill-reviewer技能评审员

Agent Skill

skill-reviewer 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

456

周安装

19

GitHub Stars

9

下载量

152
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

3

许可证

MIT

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:skill-reviewer(技能评审员)
来源仓库:https://github.com/adaptationio/skrillz
仓库路径:skills/skill-reviewer
安装命令:
npx skills add https://github.com/adaptationio/skrillz --skill skill-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。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/adaptationio/skrillz --skill skill-reviewer

简介

用于查找、检索和筛选特定主题的相关信息。skill-reviewer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

  • 适合在评审、审核类任务中提供背景资料支持。
  • 通过 GitHub 仓库安装,兼容 Codex、Claude 等宿主环境。
  • 检索结果按相关性排序,支持多轮迭代优化查询。
  • 建议结合原始 README 文档理解具体应用场景。

SKILL.md

Skill Reviewer

Overview

skill-reviewer identifies specific, actionable improvements for Claude Code skills. While review-multi provides comprehensive scoring (1-5), skill-reviewer focuses on finding and documenting improvement opportunities.

Purpose: Improvement discovery for existing skills

Integration with review-multi:

  • review-multi: Comprehensive scoring, production readiness
  • skill-reviewer: Improvement hunting, enhancement focus
  • Use together: review-multi scores, skill-reviewer improves

The 4 Review Operations:

  1. Content Enhancement Review - Find content that could be clearer, more complete, better examples
  2. Usability Improvement Review - Identify user experience enhancements
  3. Integration Opportunity Review - Find integration and composition opportunities
  4. Efficiency Improvement Review - Identify ways to make skill more efficient

When to Use

  • Finding improvements for good skills (score 4-5 but could be better)
  • Post-deployment enhancement planning
  • Continuous improvement iterations
  • User feedback incorporation
  • Periodic skill refreshes

Operations

Operation 1: Content Enhancement Review

Focus: Better examples, clearer explanations, additional scenarios

Process:

  1. Review examples - could any be more concrete/helpful?
  2. Check explanations - any unclear sections?
  3. Review scenarios - missing important use cases?
  4. Check completeness - any gaps?

Output: List of content improvements with priorities


Operation 2: Usability Improvement Review

Focus: Easier to use, faster to learn, more effective

Process:

  1. Test actual usage - where's friction?
  2. Check learning curve - could it be easier?
  3. Review navigation - could it be clearer?
  4. Check Quick Reference - could it be more helpful?

Output: UX improvement opportunities


Operation 3: Integration Opportunity Review

Focus: Better integration with other skills, new composition possibilities

Process:

  1. Review skill dependencies - could integration be smoother?
  2. Check for workflow opportunities - could this compose with others?
  3. Look for synergies - which skills work well together?
  4. Identify gaps - what's missing for good integration?

Output: Integration enhancement opportunities


Operation 4: Efficiency Improvement Review

Focus: Faster to use, better automation, reduced effort

Process:

  1. Check for automation opportunities
  2. Review process efficiency - any unnecessary steps?
  3. Look for shortcuts - quick paths for common cases?
  4. Check token efficiency - context optimization possible?

Output: Efficiency improvement opportunities


Quick Reference

OperationFocusOutput
Content EnhancementExamples, clarity, scenariosContent improvements
Usability ImprovementUX, learning curve, frictionUX enhancements
Integration OpportunityComposition, synergiesIntegration ideas
Efficiency ImprovementAutomation, speedEfficiency gains

Use with: review-multi (scoring) + skill-reviewer (improvements) + skill-updater (apply changes)


skill-reviewer finds improvement opportunities to make good skills even better.

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

04

需要参考平台分布和安装热度时

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

补充不同宿主或平台的使用分布数据

能力 5

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

github-copilot

28.88%
按下载量换算44

Claude Code

22.62%
按下载量换算34

mcpjam

15.2%
按下载量换算23

moltbot

13.01%
按下载量换算20

windsurf

7.65%
按下载量换算12

zencoder

2.9%
按下载量换算4

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。

来源信息

继续浏览同类 Skills