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consultancy-practices咨询实践

Agent Skill

consultancy-practices 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

1,616

周安装

68

GitHub Stars

329

下载量

566
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:consultancy-practices(咨询实践)
来源仓库:https://github.com/proffesor-for-testing/agentic-qe
仓库路径:skills/consultancy-practices
安装命令:
npx skills add https://github.com/proffesor-for-testing/agentic-qe --skill consultancy-practices
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/proffesor-for-testing/agentic-qe --skill consultancy-practices

简介

提供质量咨询的标准流程,包括倾听优先、影响/努力矩阵和知识转移。

  • 覆盖评估、转型和顾问三种合作模式的时间规划与成功度量。
  • 适用于危机干预、战略对齐和执行失败诊断等复杂场景。
  • 强调定义明确的成功指标和周度跟踪机制。
  • consultancy-practices 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

Consultancy Practices

<default_to_action> When consulting on quality:

  1. LISTEN FIRST: Understand their context before prescribing solutions
  2. DISCOVER: What's the pain? What have they tried? What are constraints?
  3. PRIORITIZE: Impact/effort matrix - high impact, low effort first
  4. TRANSFER KNOWLEDGE: Leave them better, not dependent on you
  5. MEASURE: Define success metrics upfront, track weekly

Engagement Types:

  • Assessment (1-4 weeks): Discover, analyze, recommend
  • Transformation (3-12 months): Implement new practices
  • Advisory (ongoing): Strategic guidance, course-correct
  • Crisis (1-4 weeks): Fix critical issues blocking production

Key Questions:

  • "Walk me through your last deployment"
  • "Tell me about a recent bug that escaped to production"
  • "If you could fix one thing, what would it be?" </default_to_action>

Quick Reference Card


Common Patterns (What Clients Say vs. What They Mean)

"We Need Test Automation"

What they say: "We need test automation" What they mean: "Manual testing is too slow/expensive"

Discovery: How long is regression? What's deployment frequency?

Typical Finding: They need faster feedback, not "automation"

Recommendation:

  1. Unit tests for new code (TDD)
  2. Smoke tests for critical paths
  3. Keep exploratory for discovery
  4. Build automation incrementally

"Fix Our Quality Problem"

What they say: "We have too many bugs" What they mean: "Something is broken but we don't know what"

Discovery: Where found? What types? When introduced?

Typical Finding: No test strategy, testing too late, poor feedback loops

Recommendation:

  1. Shift testing left
  2. Improve coverage on critical paths
  3. Speed up CI/CD feedback
  4. Better requirements/acceptance criteria

"We Want to Scale Quality"

What they say: "Growing fast, quality can't keep up" What they mean: "Can't hire enough QA fast enough"

Discovery: Current QA:Dev ratio? Where's QA spending time?

Typical Finding: QA is bottleneck - manual regression, gatekeeping

Recommendation:

  1. Make QA strategic, not tactical
  2. Developers own test automation
  3. QA focuses on exploratory, risk analysis
  4. Use agentic approaches for scale

Difficult Situations

"We already tried that" → "Tell me what you tried and what didn't work" (learn from their experience)

"Our context is special" → "Help me understand what makes yours special" (they might be right, or making excuses)

"We don't have budget/time" → "What's the cost of not fixing this? Let's start small" (show ROI)

"That won't work here" → "What specific constraints? Let's adapt" (find what WILL work)


Agent Integration

// Automated codebase assessment
const assessment = await Task("Assess Codebase", {
  scope: 'client-project/',
  depth: 'comprehensive',
  reportFormat: 'executive-summary'
}, "qe-quality-analyzer");

// Returns: { qualityScore, testCoverage, technicalDebt, recommendations }

// ROI analysis for quality initiatives
const roi = await Task("Calculate ROI", {
  currentState: { defectEscapeRate: 0.15, mttr: 48 },
  proposedImprovements: ['test-automation', 'ci-cd-pipeline'],
  timeframe: '6-months'
}, "qe-quality-analyzer");

// Returns: { estimatedCost, estimatedSavings, paybackPeriod }

Agent Coordination Hints

Memory Namespace

aqe/consultancy/
├── assessments/*      - Client assessments
├── recommendations/*  - Prioritized recommendations
├── roi-analysis/*     - ROI calculations
└── progress/*         - Implementation tracking

Fleet Coordination

const consultingFleet = await FleetManager.coordinate({
  strategy: 'client-engagement',
  agents: [
    'qe-quality-analyzer',          // Assess current state
    'qe-regression-risk-analyzer',  // Risk assessment
    'qe-quality-gate',              // Define quality gates
    'qe-deployment-readiness'       // Deployment maturity
  ],
  topology: 'hierarchical'
});

Related Skills


Remember

Good consulting is about empowering teams, not creating dependency. Your success is measured by them not needing you anymore - while still wanting to work with you again.

Best compliment: "We've got this now, but when we tackle X next year, we're calling you."

Be honest. Be helpful. Be context-driven. Leave them 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

Claude Code

26.81%
按下载量换算152

Antigravity

24.06%
按下载量换算136

windsurf

17.9%
按下载量换算101

github-copilot

13.28%
按下载量换算75

Codex

8.61%
按下载量换算49

trae

3.56%
按下载量换算20

安全审计

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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

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