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Agent Skill · 运维和基础设施

cognitive-load-assessment(认知负荷评估)

cognitive-load-assessment 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。

cognitive-load-assessment 是运维和基础设施类 Agent Skill,可用宿主为 Codex、Claude、Cursor、Gemini CLI,通过GitHub 仓库获取,权限为调用外部服务;许可证为 MIT,第三方扫描有提醒项,按安装量在运维和基础设施类的 2,449 个 Skill 里排第 2,006。

总安装 318周安装 13GitHub Stars 61下载 103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
MIT

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:cognitive-load-assessment(认知负荷评估)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/cognitive-load-assessment
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill cognitive-load-assessment
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/melodic-software/claude-code-plugins --skill cognitive-load-assessment

这个 Skill 是做什么的

运维和基础设施类 Skill 处理部署、监控、日志和云资源,多数需要较高的执行权限。

cognitive-load-assessment 测量与管理团队协作中的认知负荷以优化生产力。适用于在 Codex、Claude、Cursor、Gemini CLI 中进行任务复杂度分析与资源规划。采用文档优先方法,先查阅 docs-management 与 MCP 服务器获取模式参考。

结合 perplexity 等工具验证概念准确性。涉及团队数据时应确保隐私保护与最小权限原则。

来源仓库内路径:skills/cognitive-load-assessment

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/melodic-software/claude-code-plugins --skill c…;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

    它需要调用外部服务,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

cognitive-load-assessment 怎么安装?

在终端执行 npx skills add https://github.com/melodic-software/claude-code-plugins --skill cognitive-l…。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

cognitive-load-assessment 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。

cognitive-load-assessment 需要什么权限?

权限级别是调用外部服务。该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

cognitive-load-assessment 是免费的吗?

来源标注的许可证是 MIT。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

cognitive-load-assessment 用的人多吗?

公开数据是累计安装 318 次,近一周安装 13 次,下载 103 次,GitHub 61 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。

cognitive-load-assessment 安全吗?

第三方扫描有提醒项,说明存在需要人工确认的行为。安装前请打开源码看清它读了什么、联网到哪里。

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。
  • 3 个目录同时收录,说明这个 Skill 流传比较广。
  • 许可证明确为 MIT,商用和分发边界好判断。

先想清楚的地方

  • 第三方扫描存在提醒项或未通过项,需要人工逐条确认。
  • 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。
  • 需要处理运维和基础设施类任务、又不想每次都手写提示词的人。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

运维和基础设施类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
brainstorming

头脑风暴 · Codex、Claude

3,148,776173,131操作浏览器MIT通过
copywriting

文案写作 · Codex、Claude

1,996,72425,583需要联网MIT通过
openclaw-secure-linux-cloud

OpenClaw secure linux cloud 命令行 · Codex、Claude

1,853,08840接触敏感数据未明确未通过
xget

xget 命令行 · Codex、Claude

1,799,28040执行命令未明确未通过
requesting-code-review

代码审查请求 · Codex、Claude

1,590,144173,103权限未标注MIT通过
cognitive-load-assessment

认知负荷评估 · 本页

31861调用外部服务MIT有提醒

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

Cognitive Load Assessment Skill

When to Use This Skill

Use this skill when:

  • Cognitive Load Assessment tasks - Working on measure and manage team cognitive load
  • Planning or design - Need guidance on Cognitive Load Assessment approaches
  • Best practices - Want to follow established patterns and standards

Overview

Measure and manage team cognitive load to optimize productivity and sustainability.

MANDATORY: Documentation-First Approach

Before assessing cognitive load:

  1. Invoke docs-management skill for cognitive load patterns
  2. Verify concepts via MCP servers (perplexity)
  3. Base guidance on cognitive load theory and Team Topologies

Cognitive Load Theory for Teams

Three Types of Cognitive Load:

┌─────────────────────────────────────────────────────────────┐
│                    TOTAL COGNITIVE LOAD                     │
├─────────────────────────────────────────────────────────────┤
│  ┌───────────────┐  ┌───────────────┐  ┌───────────────┐    │
│  │   INTRINSIC   │  │  EXTRANEOUS   │  │    GERMANE    │    │
│  │   (Domain)    │  │  (Accidental) │  │  (Learning)   │    │
│  │               │  │               │  │               │    │
│  │ • Business    │  │ • Bad tools   │  │ • New skills  │    │
│  │   complexity  │  │ • Tech debt   │  │ • Growth      │    │
│  │ • Domain      │  │ • Manual      │  │ • Innovation  │    │
│  │   knowledge   │  │   processes   │  │               │    │
│  └───────────────┘  └───────────────┘  └───────────────┘    │
│                                                              │
│  GOAL: Reduce extraneous, manage intrinsic, allow germane   │
└─────────────────────────────────────────────────────────────┘

Intrinsic Cognitive Load

INTRINSIC LOAD: Inherent complexity of the domain

Sources:
• Business domain complexity
• Required domain knowledge
• Problem space difficulty
• Integration complexity
• Compliance requirements

Management Strategies:
• Clear bounded contexts
• Domain-driven design
• Right team for right domain
• Specialists where needed
• Documentation and training

Assessment Questions:
□ How complex is the business domain?
□ How much domain knowledge is required?
□ How many systems must team understand?
□ How many stakeholders to coordinate with?
□ How complex are compliance requirements?

Extraneous Cognitive Load

EXTRANEOUS LOAD: Unnecessary complexity (waste)

Sources:
• Poor tooling and processes
• Technical debt
• Unclear requirements
• Manual deployments
• Legacy systems
• Poor documentation
• Meeting overload

Management Strategies:
• Invest in developer experience
• Reduce technical debt
• Automate repetitive tasks
• Clear communication
• Self-service platforms
• Reduce handoffs

Assessment Questions:
□ How much time on non-value work?
□ How painful are deployments?
□ How much context switching?
□ How many manual processes?
□ How much waiting for others?

Germane Cognitive Load

GERMANE LOAD: Productive learning and growth

Sources:
• Learning new technologies
• Skill development
• Innovation work
• Process improvement
• Mastering the domain

Management Strategies:
• Protected learning time
• Conference attendance
• Hackathons
• Mentoring programs
• Stretch assignments

Assessment Questions:
□ How much time for learning?
□ How much innovation work?
□ Are people growing skills?
□ Is knowledge being shared?
□ Is there time for experimentation?

Cognitive Load Assessment

Assessment Framework

Team Cognitive Load Formula:

TOTAL LOAD = Intrinsic + Extraneous + Germane

HEALTHY: Total Load < Capacity
STRESSED: Total Load ≈ Capacity
OVERLOADED: Total Load > Capacity

Capacity Factors:
• Team size
• Experience level
• Tool quality
• Process maturity
• Support availability

Assessment Questionnaire

Rate each item 1-5 (1=Low load, 5=High load):

INTRINSIC LOAD (Domain Complexity)
□ ___ Business domain complexity
□ ___ Number of systems owned
□ ___ Integration complexity
□ ___ Stakeholder coordination
□ ___ Compliance requirements
Intrinsic Score: ___/25

EXTRANEOUS LOAD (Unnecessary Complexity)
□ ___ Tooling and infrastructure friction
□ ___ Manual processes and deployments
□ ___ Technical debt burden
□ ___ Waiting time for dependencies
□ ___ Context switching frequency
Extraneous Score: ___/25

GERMANE LOAD (Learning & Growth)
□ ___ New technology adoption rate
□ ___ Process change frequency
□ ___ Skill development demands
□ ___ Innovation expectations
□ ___ Documentation/training work
Germane Score: ___/25

TOTAL COGNITIVE LOAD: ___/75

Interpretation:
< 30: Low load (capacity available)
30-45: Moderate load (sustainable)
45-60: High load (at risk)
> 60: Overloaded (unsustainable)

Domain Complexity Assessment

Domain Complexity Matrix

FactorLow (1)Medium (3)High (5)
Entities<1010-50>50
RulesSimpleModerateComplex
Integrations0-23-5>5
Stakeholders1-23-5>5
RegulationsNoneSomeHeavy

Team-Domain Fit

Domain Size Assessment:

SMALL DOMAIN (Team can fully own):
• Limited bounded context
• Clear boundaries
• Manageable complexity
• 5-9 person team appropriate

MEDIUM DOMAIN (Stretching team limits):
• Multiple sub-domains
• Some complexity
• Some dependencies
• May need splitting

LARGE DOMAIN (Team overloaded):
• Multiple bounded contexts
• High complexity
• Many dependencies
• MUST split into multiple teams

Cognitive Load Reduction Strategies

Reduce Extraneous Load

Platform Strategies:
• Self-service infrastructure
• Golden paths for common tasks
• Automated testing and deployment
• Centralized observability
• Clear documentation

Process Strategies:
• Reduce meetings
• Async communication
• Clear ownership
• Reduce handoffs
• Eliminate approval bottlenecks

Tooling Strategies:
• Developer experience investment
• IDE integration
• Local development parity
• Fast feedback loops
• Reduced context switching

Manage Intrinsic Load

Team Design Strategies:
• Right-size bounded contexts
• Align teams to domains
• Specialists for complex subsystems
• Clear team APIs
• Reduce dependencies

Knowledge Strategies:
• Domain documentation
• Onboarding programs
• Pair programming
• Knowledge sharing
• Cross-training

Protect Germane Load

Learning Strategies:
• 20% time for learning
• Conference budget
• Training programs
• Innovation sprints
• Mentoring relationships

Growth Strategies:
• Stretch assignments
• Rotation programs
• Leadership development
• Technical career tracks
• Community involvement

Assessment Template

# Cognitive Load Assessment: [Team Name]

## Team Profile
- **Size:** [N people]
- **Age:** [Months/years together]
- **Domain:** [Description]
- **Current Load:** [High/Medium/Low]

## Intrinsic Load Analysis

### Domain Complexity
[Description of domain complexity]

### Score: [X/25]

| Factor | Score | Notes |
|--------|-------|-------|
| Business complexity | [1-5] | [Details] |
| Systems owned | [1-5] | [Details] |
| Integration complexity | [1-5] | [Details] |
| Stakeholder coordination | [1-5] | [Details] |
| Compliance requirements | [1-5] | [Details] |

## Extraneous Load Analysis

### Pain Points
[Description of unnecessary complexity]

### Score: [X/25]

| Factor | Score | Notes |
|--------|-------|-------|
| Tooling friction | [1-5] | [Details] |
| Manual processes | [1-5] | [Details] |
| Technical debt | [1-5] | [Details] |
| Waiting/blocking | [1-5] | [Details] |
| Context switching | [1-5] | [Details] |

## Germane Load Analysis

### Learning Capacity
[Description of learning demands]

### Score: [X/25]

| Factor | Score | Notes |
|--------|-------|-------|
| New technology | [1-5] | [Details] |
| Process changes | [1-5] | [Details] |
| Skill development | [1-5] | [Details] |
| Innovation work | [1-5] | [Details] |
| Documentation work | [1-5] | [Details] |

## Total Assessment

| Load Type | Score | Status |
|-----------|-------|--------|
| Intrinsic | [X/25] | [Good/Warning/Critical] |
| Extraneous | [X/25] | [Good/Warning/Critical] |
| Germane | [X/25] | [Good/Warning/Critical] |
| **Total** | **[X/75]** | **[Overall status]** |

## Recommendations

### Immediate Actions (Reduce Extraneous)
1. [Action]
2. [Action]

### Short-term (Manage Intrinsic)
1. [Action]
2. [Action]

### Long-term (Protect Germane)
1. [Action]
2. [Action]

## Reassessment Schedule
- Next review: [Date]
- Metrics to track: [List]

Workflow

When assessing cognitive load:

  1. Gather Team Input: Survey or interview team members
  2. Score Each Type: Rate intrinsic, extraneous, germane
  3. Identify Hotspots: Where is load highest?
  4. Analyze Causes: Why is load high?
  5. Prioritize Reductions: Focus on extraneous first
  6. Plan Actions: Specific improvements
  7. Track Progress: Reassess periodically

References

For detailed guidance:


Last Updated: 2025-12-26

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可疑

权限和风险

调用外部服务

该 Skill 可能调用第三方服务、云服务或外部模型 API,使用前需要确认账号、额度、数据发送范围和服务条款。

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。来源安全扫描存在提醒或未通过项,安装前请自行复核。

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