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value-stream-mapping价值流图

Agent Skill

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。

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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

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来源可访问

安装方式

通过对话安装

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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。

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skills.shnpx skills
npx skills add https://github.com/melodic-software/claude-code-plugins --skill value-stream-mapping

简介

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。

SKILL.md

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

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