用 Codex 或 Claude 帮你安装 复制这段 Prompt,粘贴到 Codex、Claude 或其他助手里,让它检查 Skill 页面并帮你完成安装。
直接命令不会经过审查 Prompt;运行前请先检查来源。
npx skills add https://github.com/a5c-ai/babysitter --skill journey-mapping命令会保持在同一行。复制前请横向滚动并检查完整内容。
想先保存到本地?可下载 SkillsMP 当前能够提供的文件。
基于 SOC 职业分类
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| name | journey-mapping |
| description | Customer journey visualization, analysis, and experience mapping tools |
| allowed-tools | ["Read","Write","Glob","Grep","Bash","WebFetch"] |
| metadata | {"specialization":"marketing","domain":"business","category":"Market Research","skill-id":"SK-020"} |
| graph | {"domains":["domain:marketing"],"skillAreas":["skill-area:brand-strategy","skill-area:brand-positioning","skill-area:content-marketing"],"workflows":["workflow:brand-campaign-launch"],"roles":["role:marketing-manager","role:marketing-strategist","role:brand-manager"]} |
The Customer Journey Mapping Skill provides comprehensive capabilities for visualizing, analyzing, and optimizing customer journeys across touchpoints. This skill enables integration with journey mapping tools like Miro and Lucidchart, supports experience mapping methodologies, and connects journey insights with analytics platforms for data-driven journey optimization.
This skill integrates with the following marketing processes:
skill: journey-mapping
action: create-journey-map
parameters:
platform: miro
journey_name: "B2B SaaS Purchase Journey"
persona: "IT Decision Maker"
stages:
- name: Awareness
touchpoints:
- type: content
channel: organic_search
description: "Blog article discovery"
- type: advertising
channel: linkedin
description: "Sponsored content"
emotions:
level: neutral
description: "Curious but skeptical"
actions:
- "Searching for solutions"
- "Reading industry content"
pain_points:
- "Information overload"
- "Difficult to compare options"
- name: Consideration
touchpoints:
- type: website
skill: journey-mapping
action: analyze-pain-points
parameters:
journey_id: "b2b_purchase_journey"
data_sources:
- type: support_tickets
timeframe: last_6_months
categories: [onboarding, billing, product_issues]
- type: nps_feedback
score_filter: detractors
timeframe: last_6_months
- type: analytics
events: [cart_abandonment, form_abandonment, page_exit]
analysis:
- aggregate_by_stage: true
- severity_scoring: true
- frequency_analysis: true
- impact_on_conversion: true
output:
format: prioritized_list
include_recommendations: true
skill: journey-mapping
action: create-service-blueprint
parameters:
platform: lucidchart
service_name: "Customer Onboarding"
customer_actions:
- "Signs contract"
- "Completes welcome form"
- "Attends kickoff call"
- "Configures settings"
- "Invites team members"
- "Completes training"
frontstage:
- stage: "Contract Signing"
employee_actions:
- "Sends contract via DocuSign"
- "Answers questions"
physical_evidence:
- "Contract document"
- "Email confirmation"
- stage: "Kickoff Call"
employee_actions:
- "Conducts introduction"
- "Reviews goals"
- "Sets timeline"
physical_evidence:
- "Calendar invite"
- "Kickoff deck"
-
skill: journey-mapping
action: overlay-analytics
parameters:
journey_id: "b2b_purchase_journey"
analytics_source: amplitude
metrics:
by_stage:
- conversion_rate
- time_in_stage
- drop_off_rate
by_touchpoint:
- interaction_count
- engagement_rate
- attribution_weight
time_period: last_90_days
segments:
- name: "Enterprise"
filter: company_size >= 1000
- name: "SMB"
filter: company_size < 100
visualization:
overlay_on_map: true
highlight_bottlenecks: true
show_segment_comparison: true
skill: journey-mapping
action: align-personas
parameters:
base_journey: "product_purchase_journey"
personas:
- name: "First-Time Buyer"
journey_variations:
awareness:
additional_touchpoints:
- educational_content
- comparison_guides
extended_duration: true
consideration:
pain_points_added:
- "Need more social proof"
- "Uncertainty about fit"
- name: "Repeat Customer"
journey_variations:
awareness:
skip_stage: true
consideration:
shortened_duration: true
touchpoints_removed:
- educational_nurture
- name: "Referred Customer"
journey_variations:
awareness:
trust_level: elevated
touchpoints_added:
- referrer_introduction
output: