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Agent Skill · 研究检索

engagement-analyzer(参与度分析器)

engagement-analyzer 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。

engagement-analyzer 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 36,895。

总安装 1,839周安装 79GitHub Stars 85下载 645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:engagement-analyzer(参与度分析器)
来源仓库:https://github.com/guia-matthieu/clawfu-skills
仓库路径:skills/engagement-analyzer
安装命令:
npx skills add https://github.com/guia-matthieu/clawfu-skills --skill engagement-analyzer
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/guia-matthieu/clawfu-skills --skill engagement-analyzer

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。

参与度分析器用于将调研数据转化为可执行的行动洞察。适合员工敬业度调查分析和干预措施设计场景。基于 Gallup Q12 框架进行驱动因素识别和优先级排序。使用时需提供完整的调研数据集和问题列表。engagement-analyzer 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

建议结合组织背景解读结果,避免机械套用模板。

来源仓库内路径:skills/engagement-analyzer

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/guia-matthieu/clawfu-skills --skill engagement…;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

engagement-analyzer 怎么安装?

在终端执行 npx skills add https://github.com/guia-matthieu/clawfu-skills --skill engagement-analyzer。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

engagement-analyzer 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。

engagement-analyzer 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。

engagement-analyzer 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。

engagement-analyzer 用的人多吗?

公开数据是累计安装 1,839 次,近一周安装 79 次,下载 645 次,GitHub 85 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。

engagement-analyzer 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
engagement-analyzer

参与度分析器 · 本页

1,83985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

Engagement Analyzer

Transform engagement survey data into actionable insights with trend analysis, priority identification, and targeted intervention design.

When to Use This Skill

  • Analyzing survey results
  • Identifying engagement drivers
  • Prioritizing action areas
  • Designing interventions
  • Tracking improvement

Methodology Foundation

Based on Gallup Q12 framework and Qualtrics engagement research, combining:

  • Driver analysis
  • Benchmarking
  • Action prioritization
  • Intervention design

What Claude Does vs What You Decide

Claude DoesYou Decide
Analyzes survey dataSurvey questions
Identifies patternsData collection
Prioritizes actionsResource allocation
Suggests interventionsImplementation
Creates action plansExecutive priorities

Instructions

Step 1: Understand Engagement Model

Key Engagement Dimensions:

DimensionWhat It MeasuresExample Questions
PurposeConnection to mission"My work has meaning"
DevelopmentGrowth opportunity"I learn and grow here"
ManagerLeadership quality"My manager supports me"
TeamCollaboration"My team works well together"
WellbeingWork-life balance"I can manage my workload"
RecognitionAppreciation"I feel valued for my contributions"

Step 2: Analyze Results

Analysis Framework:

MetricCalculationInterpretation
Overall ScoreAverage of all itemsHealth indicator
Favorability% Agree + Strongly AgreePositive sentiment
eNPSPromoters - DetractorsLoyalty indicator
ParticipationResponses / InvitedData reliability

Comparison Points:

  • Previous survey (trend)
  • Company benchmark
  • Industry benchmark
  • Team vs. company

Step 3: Identify Priorities

Priority Matrix:

ScoreImpactPriority
LowHighP1 - Critical
LowMediumP2 - Important
LowLowP3 - Monitor
HighAnyMaintain

Step 4: Design Interventions

Intervention Types:

LevelExamplesTimeline
Quick WinsRecognition, communication0-30 days
Process ChangesMeeting structure, feedback30-90 days
Structural ChangesRole design, team structure90+ days
Culture ShiftsValues, behaviors6+ months

Step 5: Create Action Plan

Plan Components:

  1. Priority area
  2. Root cause hypothesis
  3. Proposed intervention
  4. Success metrics
  5. Owner and timeline

Examples

Example 1: Full Engagement Analysis

Input:

Analyze these engagement survey results:

Company Overall: 72 (was 68)
Participation: 85%

By Dimension (favorability %):
- Purpose: 82%
- Development: 58%
- Manager: 71%
- Team: 76%
- Wellbeing: 54%
- Recognition: 65%

Engineering Dept: 64 overall
- Development: 45%
- Wellbeing: 42%

Sales Dept: 78 overall
- Recognition: 52%

Output:

## Employee Engagement Analysis

### Executive Summary

**Overall Health:** Improving (+4 points to 72)
**Key Wins:** Purpose (82%), Team (76%)
**Critical Areas:** Wellbeing (54%), Development (58%)
**Hot Spots:** Engineering (64 overall), Sales Recognition (52%)

---

### Overall Results

| Metric | Score | vs. Last | vs. Benchmark |
|--------|-------|----------|---------------|
| Overall Score | 72 | +4 | +2 |
| Participation | 85% | +3% | +10% |
| eNPS | +18 | +6 | +8 |

**Interpretation:** Solid improvement across the board. High participation
indicates employees feel their voice matters.

---

### Dimension Analysis

| Dimension | Score | Trend | Priority |
|-----------|-------|-------|----------|
| Purpose | 82% | → | Maintain |
| Team | 76% | ↑ | Maintain |
| Manager | 71% | ↑ | Improve |
| Recognition | 65% | → | Improve |
| Development | 58% | ↓ | Critical |
| Wellbeing | 54% | ↓ | Critical |

---

### Priority Matrix
                HIGH IMPACT
                     │
┌────────────────────┼────────────────────┐
│   P1: CRITICAL     │   MAINTAIN         │
│   • Wellbeing      │   • Purpose        │
│   • Development    │   • Team           │

LOW ├────────────────────┼────────────────────┤ HIGH SCORE│ P2: IMPORTANT │ LEVERAGE │ │ • Recognition │ │ │ • Manager │ │ └────────────────────┴────────────────────┘ LOW IMPACT

---

### Department Deep Dive

#### Engineering (64 Overall) - NEEDS ATTENTION

| Dimension | Engineering | Company | Gap |
|-----------|-------------|---------|-----|
| Development | 45% | 58% | -13 |
| Wellbeing | 42% | 54% | -12 |

**Root Cause Hypotheses:**
1. Technical debt creating burnout
2. Limited career progression paths
3. On-call burden distributed unevenly

**Recommended Actions:**
| Action | Owner | Timeline |
|--------|-------|----------|
| Engineering career ladder review | VP Eng + HR | 90 days |
| On-call rotation audit | Eng Managers | 30 days |
| 20% learning time policy | VP Eng | 60 days |

---

### Company-Wide Action Plan

#### P1: Wellbeing Initiative (54%)

**Target:** Increase to 65% by next survey

**Actions:**
| Action | Owner | Timeline |
|--------|-------|----------|
| "No Meeting Fridays" pilot | Leadership | 30 days |
| Workload survey by department | HRBP | 30 days |
| Manager training: sustainable teams | L&D | 90 days |

---

#### P1: Development Initiative (58%)

**Target:** Increase to 70% by next survey

**Actions:**
| Action | Owner | Timeline |
|--------|-------|----------|
| Learning stipend communication | HR | 30 days |
| Career pathing by function | HR + Leaders | 90 days |
| Mentorship program launch | L&D | 90 days |

---

### Success Metrics

| Area | Current | 6-Month Target | Owner |
|------|---------|----------------|-------|
| Overall Score | 72 | 76 | CHRO |
| Wellbeing | 54% | 65% | HR |
| Development | 58% | 70% | L&D |
| Engineering Overall | 64 | 72 | VP Eng |

Example 2: Quick Pulse Analysis

Input:

Analyze this pulse survey (3 questions):
1. "I would recommend this company" - 62% favorable (down 8%)
2. "I have what I need to do my job" - 71% favorable (up 3%)
3. "I feel valued" - 48% favorable (down 12%)

Output:

## Pulse Survey Quick Analysis

### Summary

| Metric | Current | Change | Status |
|--------|---------|--------|--------|
| eNPS Indicator | 62% | ↓ 8% | WARNING |
| Enablement | 71% | ↑ 3% | GOOD |
| Recognition | 48% | ↓ 12% | CRITICAL |

---

### Key Finding

**Recognition is in crisis** - 12-point drop is a red flag.
This is likely driving the eNPS decline.

---

### Immediate Actions

| Priority | Action | Owner | Timeline |
|----------|--------|-------|----------|
| 1 | Leadership acknowledgment | CEO | This week |
| 2 | Manager recognition training | HR | 2 weeks |
| 3 | Focus groups on "valued" | HRBP | 2 weeks |

Skill Boundaries

What This Skill Does Well

  • Analyzing survey patterns
  • Prioritizing action areas
  • Designing interventions
  • Creating action plans

What This Skill Cannot Do

  • Access actual survey data
  • Know company-specific context
  • Replace qualitative research
  • Guarantee improvement

Iteration Guide

Follow-up Prompts:

  • "Create focus group questions for [area]"
  • "Design intervention for [specific issue]"
  • "How do we communicate results to [audience]?"
  • "What metrics should we track for [initiative]?"

References

  • Gallup Q12 Engagement Framework
  • Qualtrics Employee Experience
  • Culture Amp Engagement Drivers
  • Glint People Science

Related Skills

  • employee-support - Ongoing support
  • onboarding-guide - Initial engagement
  • churn-prediction - Turnover risk

Skill Metadata

  • Domain: HR Operations
  • Complexity: Intermediate-Advanced
  • Mode: centaur
  • Time to Value: 2-4 hours per analysis
  • Prerequisites: Survey data, company context

平台分布

Codex

36.56%
按下载量换算236

Claude

29.12%
按下载量换算188

Cursor

22.08%
按下载量换算142

Gemini CLI

9.43%
按下载量换算61

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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