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Agent Skill · 研究检索

value-stream-mapping(价值流图)

value-stream-mapping 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。

value-stream-mapping 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,权限为需要联网;许可证为 MIT,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 52,870。

总安装 544周安装 22GitHub Stars 61下载 171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:value-stream-mapping(价值流图)
来源仓库:https://github.com/melodic-software/claude-code-plugins
仓库路径:skills/value-stream-mapping
安装命令:
npx skills add https://github.com/melodic-software/claude-code-plugins --skill value-stream-mapping
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 value-stream-mapping

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。

value-stream-mapping 用于查找、检索和筛选相关信息,适合在 Codex、Claude、Cursor、Gemini CLI 中根据关键词、任务场景或来源线索快速定位候选结果。适用于研究检索类任务,提供价值流图相关支持。

通过 npx skills add 命令从 GitHub 安装,需确认权限范围和维护状态。使用前建议检查是否会触发联网、命令执行或文件读写操作。适用宿主包括 Codex、Claude、Cursor、Gemini CLI,接入前应确认版本、权限和运行环境要求。

来源仓库内路径:skills/value-stream-mapping

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 v…;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

    它需要需要联网,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

value-stream-mapping 怎么安装?

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

value-stream-mapping 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。

value-stream-mapping 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

value-stream-mapping 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。

value-stream-mapping 用的人多吗?

公开数据是累计安装 544 次,近一周安装 22 次,下载 171 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。

value-stream-mapping 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。
  • 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。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 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。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 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
value-stream-mapping

价值流图 · 本页

54461需要联网MIT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

Value Stream Mapping

Create Lean value stream maps to visualize flow, identify waste, and design improvement opportunities. Based on Lean manufacturing principles adapted for knowledge work.

What is a Value Stream?

A value stream is the sequence of activities required to deliver value to a customer, from request to delivery. Value stream mapping (VSM) visualizes this flow to identify:

  • Value-adding activities - Steps that directly create customer value
  • Waste (Muda) - Steps that consume resources without adding value
  • Flow problems - Bottlenecks, delays, and inefficiencies

The 8 Wastes (TIMWOODS)

WasteDescriptionExamples in Knowledge Work
TransportationMoving work between locationsHandoffs between teams, tool switching
InventoryUnfinished work waitingBacklog, WIP, queued requests
MotionUnnecessary movementContext switching, searching for info
WaitingIdle timeApprovals, blocked work, dependencies
OverproductionMaking more than neededUnused features, premature optimization
OverprocessingDoing more than requiredGold plating, excessive documentation
DefectsErrors requiring reworkBugs, miscommunication, rework
SkillsUnderutilized talentManual work that could be automated

Workflow

Phase 1: Define Scope

Step 1: Identify the Value Stream
QuestionAnswer
What value are we delivering?[Customer outcome]
Who is the customer?[Internal/External customer]
Where does the stream start?[Trigger/Request]
Where does it end?[Value delivered]
Step 2: Set Boundaries
## Value Stream Definition

**Name:** Customer Order Fulfillment
**Trigger:** Customer places order
**End State:** Customer receives product
**Scope:** Order entry → Shipping (excludes manufacturing)
**Customer:** External retail customer

Phase 2: Current State Map

Step 1: Walk the Process

Observe actual work (gemba walk):

  • Follow a real work item through the process
  • Document what actually happens, not what should happen
  • Note handoffs, delays, and workarounds
Step 2: Document Process Steps

For each step, capture:

MetricDefinitionHow to Measure
Process Time (PT)Active work timeTime actually working
Lead Time (LT)Total elapsed timeClock time start to finish
Wait Time (WT)Time waitingLT - PT
% Complete & Accurate (%C&A)First-time quality% not requiring rework
Step 3: Create Current State Map
## Current State Value Stream

| Step | Owner | PT | LT | %C&A | Inventory | Notes |
|------|-------|-----|-----|------|-----------|-------|
| Order Entry | Sales | 15m | 2h | 85% | 50 orders | Manual entry |
| Credit Check | Finance | 10m | 8h | 95% | 30 orders | Batch processing |
| Inventory Alloc | Warehouse | 5m | 4h | 90% | 20 orders | System lookup |
| Pick & Pack | Warehouse | 30m | 6h | 92% | 40 orders | Manual process |
| Ship | Logistics | 10m | 24h | 98% | 100 orders | Carrier pickup |

**Total Process Time:** 70 minutes
**Total Lead Time:** 44 hours
**Flow Efficiency:** 2.7% (PT / LT)

Phase 3: Analyze Waste

Step 1: Calculate Flow Efficiency
Flow Efficiency = Process Time / Lead Time × 100%

Example: 70 min / 2640 min = 2.7%

Interpretation:

  • < 5%: Significant waste (typical for unoptimized processes)
  • 5-15%: Moderate efficiency
  • 15-25%: Good efficiency
  • 25%: Excellent (rare for knowledge work)
Step 2: Identify Waste by Type
## Waste Analysis

### Waiting (45% of lead time)
- Credit check batch processing: 8 hours → could be real-time
- Carrier pickup schedule: 24 hours → could be on-demand

### Inventory (150 orders WIP)
- Orders queue at each step
- No pull system in place

### Defects (15% rework at order entry)
- Manual data entry errors
- Missing required fields

### Overprocessing
- Full credit check for returning customers
- Duplicate data entry across systems
Step 3: Identify Bottlenecks

The constraint (bottleneck) limits the entire system:

## Bottleneck Analysis

**Primary Bottleneck:** Credit Check
- Highest queue (30 orders)
- Batch processing creates 8-hour wait
- Blocks downstream flow

**Secondary Bottleneck:** Pick & Pack
- Manual process
- Variable cycle time

Phase 4: Future State Design

Step 1: Apply Lean Principles
PrincipleCurrent ProblemFuture State Solution
FlowBatch processingContinuous flow, single-piece
PullPush based on forecastPull based on demand
PerfectionAccept defects, fix laterBuild quality in
Step 2: Design Improvements
## Future State Design

### Eliminate Waiting
- Real-time credit API vs. batch
- On-demand carrier pickup

### Reduce Inventory
- WIP limits at each step
- Pull signals between steps

### Improve Quality
- Validation at order entry
- Auto-populate from CRM

### Automate Motion Waste
- Single system vs. multiple tools
- API integrations
Step 3: Create Future State Map
## Future State Value Stream

| Step | Owner | PT | LT | %C&A | Inventory | Changes |
|------|-------|-----|-----|------|-----------|---------|
| Order Entry | Sales | 10m | 30m | 98% | 10 orders | Validation, auto-fill |
| Credit Check | System | 1m | 5m | 99% | 0 | Real-time API |
| Inventory Alloc | System | 1m | 5m | 99% | 0 | Automated |
| Pick & Pack | Warehouse | 25m | 2h | 96% | 15 orders | Better tooling |
| Ship | Logistics | 10m | 4h | 99% | 20 orders | On-demand pickup |

**Target Process Time:** 47 minutes (33% reduction)
**Target Lead Time:** 6.7 hours (85% reduction)
**Target Flow Efficiency:** 11.7% (4x improvement)

Phase 5: Implementation Roadmap

Step 1: Prioritize Improvements
ImprovementImpactEffortPriority
Real-time credit APIHigh (8h → 5m)Medium1
Order entry validationMedium (15% → 2% errors)Low2
On-demand carrierHigh (24h → 4h)High3
Automated inventoryMediumMedium4
Step 2: Define Kaizen Events

Focused improvement workshops:

## Kaizen Event: Credit Check Automation

**Scope:** Eliminate credit check batch processing
**Target:** 8 hours → 5 minutes lead time
**Team:** Finance, IT, Process Owner
**Duration:** 1 week intensive
**Deliverables:**
- API integration specification
- Process redesign
- Training materials

Output Formats

Narrative Summary

## Value Stream Analysis Summary

**Value Stream:** [Name]
**Date:** [ISO date]
**Analyst:** value-stream-analyst

### Current State Metrics
- **Process Time:** X minutes
- **Lead Time:** Y hours
- **Flow Efficiency:** Z%
- **Primary Bottleneck:** [Step]

### Top Waste Categories
1. **Waiting (X% of LT):** [Description]
2. **Inventory (X orders WIP):** [Description]
3. **[Other waste]:** [Description]

### Future State Targets
- **Lead Time Reduction:** X%
- **Flow Efficiency Target:** Y%
- **Quality Target:** Z% first-time right

### Recommended Actions
1. [High priority improvement]
2. [Medium priority improvement]
3. [Lower priority improvement]

Structured Data (YAML)

value_stream:
  name: "Customer Order Fulfillment"
  version: "1.0"
  date: "{ISO-8601-date}"
  analyst: "value-stream-analyst"

  boundaries:
    trigger: "Customer places order"
    end_state: "Customer receives product"
    customer: "External retail customer"

  current_state:
    total_process_time_minutes: 70
    total_lead_time_hours: 44
    flow_efficiency_percent: 2.7
    wip_total: 240

    steps:
      - name: "Order Entry"
        owner: "Sales"
        process_time_minutes: 15
        lead_time_hours: 2
        complete_accurate_percent: 85
        inventory: 50
        waste_types:
          - type: defects
            description: "Manual entry errors"
          - type: motion
            description: "Multiple system entry"

      - name: "Credit Check"
        owner: "Finance"
        process_time_minutes: 10
        lead_time_hours: 8
        complete_accurate_percent: 95
        inventory: 30
        is_bottleneck: true
        waste_types:
          - type: waiting
            description: "Batch processing"

  waste_analysis:
    - type: waiting
      percent_of_lead_time: 45
      root_causes:
        - "Batch processing"
        - "Scheduled pickups"

    - type: inventory
      total_wip: 240
      root_causes:
        - "No WIP limits"
        - "Push system"

  future_state:
    target_process_time_minutes: 47
    target_lead_time_hours: 6.7
    target_flow_efficiency_percent: 11.7

    improvements:
      - name: "Real-time credit API"
        waste_eliminated: waiting
        impact: high
        effort: medium
        lead_time_reduction_hours: 7.9

  roadmap:
    - phase: 1
      improvements: ["Real-time credit API", "Order validation"]
      duration_weeks: 4

    - phase: 2
      improvements: ["On-demand carrier", "Inventory automation"]
      duration_weeks: 8

Mermaid Diagrams

Current State Flow:

flowchart LR
    subgraph Current State
        A[Order Entry<br/>PT: 15m | LT: 2h<br/>WIP: 50] --> B[Credit Check<br/>PT: 10m | LT: 8h<br/>WIP: 30]
        B --> C[Inventory<br/>PT: 5m | LT: 4h<br/>WIP: 20]
        C --> D[Pick & Pack<br/>PT: 30m | LT: 6h<br/>WIP: 40]
        D --> E[Ship<br/>PT: 10m | LT: 24h<br/>WIP: 100]
    end

    style B fill:#ff9999

Future State Flow:

flowchart LR
    subgraph Future State
        A[Order Entry<br/>PT: 10m | LT: 30m<br/>WIP: 10] --> B[Credit<br/>API: 1m<br/>WIP: 0]
        B --> C[Inventory<br/>Auto: 1m<br/>WIP: 0]
        C --> D[Pick & Pack<br/>PT: 25m | LT: 2h<br/>WIP: 15]
        D --> E[Ship<br/>PT: 10m | LT: 4h<br/>WIP: 20]
    end

    style B fill:#99ff99
    style C fill:#99ff99

When to Use

ScenarioUse Value Stream Mapping?
Process improvementYes - identify waste
New system designYes - design for flow
Cost reductionYes - find inefficiencies
Lead time complaintsYes - find bottlenecks
Quality problemsPartial - with root cause analysis
Greenfield projectMaybe - limited current state

Integration

Upstream (Discovery)

  • process-modeling - Understand current process
  • capability-mapping - Link to business capabilities
  • stakeholder-analysis - Identify process owners

Downstream

  • Requirements - Improvement requirements
  • Systems design - Automation opportunities
  • Project planning - Kaizen event planning

Related Skills

  • journey-mapping - Customer experience perspective
  • capability-mapping - Capability view of value delivery
  • root-cause-analysis - Investigate bottleneck causes
  • prioritization - Prioritize improvement initiatives
  • process-modeling - Detailed BPMN process diagrams
  • estimation - Estimate improvement effort
  • benchmarking - Current vs target comparison

User-Facing Interface

When invoked directly by the user, this skill operates as follows.

Arguments

  • <process-description>: Description of the value stream or process to analyze
  • --mode: Analysis mode (default: guided)

- full: Comprehensive analysis with current/future state maps (~12K tokens) - quick: Rapid waste identification (~4K tokens) - guided: Interactive value stream mapping (variable)

  • --output: Output format (default: both)

- current: Current state map only - future: Future state map only - both: Both current and future state

  • --dir: Output directory (default: docs/analysis/)

Execution Workflow

  1. Parse Arguments - Extract process description, mode, and output format. If no description provided, ask the user what value stream to analyze (what value is delivered, what triggers the process, what marks completion).
  2. Execute Based on Mode:

- Full: Spawn the value-stream-analyst agent for end-to-end analysis with Process Time, Lead Time, %C&A metrics, TIMWOODS waste analysis, bottleneck identification (Theory of Constraints), and future state design with Kaizen event proposals. - Quick: Rapid identification of major steps, rough lead times, obvious waste (waiting, handoffs, rework), approximate flow efficiency, and 3-5 quick wins. - Guided: Interactive mapping walking through scope definition, step-by-step process documentation (PT, LT, %C&A, owner), metric calculation, waste identification by TIMWOODS category, bottleneck identification, and future state design.

  1. Generate Output - Produce current state map, flow diagram (Mermaid flowchart), waste analysis, future state map with improvement targets, and prioritized improvement roadmap with Kaizen event proposals.
  2. Save Results - Save to docs/analysis/value-stream-[name].md (or custom --dir).
  3. Suggest Follow-Ups - Recommend stakeholder-analysis for change management, journey-mapping for customer experience impact, and capability-mapping for process-capability alignment.

Version History

  • v1.0.0 (2025-12-26): Initial release

平台分布

Antigravity

26.69%
按下载量换算46

trae

20.95%
按下载量换算36

windsurf

17.61%
按下载量换算30

Claude Code

12.29%
按下载量换算21

Codex

8.15%
按下载量换算14

Gemini CLI

3.63%
按下载量换算6

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。

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