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Agent Skill · 待分类

ado-mapper(ado 映射器)

ado-mapper 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。

ado-mapper 是待分类类 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,暂无第三方扫描结果,按安装量在待分类类的 11,209 个 Skill 里排第 6,571。

总安装 441周安装 18GitHub Stars 127下载 141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:ado-mapper(ado 映射器)
来源仓库:https://github.com/anton-abyzov/specweave
仓库路径:skills/ado-mapper
安装命令:
npx skills add https://github.com/anton-abyzov/specweave --skill ado-mapper
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/anton-abyzov/specweave --skill ado-mapper

这个 Skill 是做什么的

这个 Skill 的分类还没最终确定,用法以来源仓库的说明为准。

ado-mapper 实现 SpecWeave 概念与 Azure DevOps 工作项之间的双向精确映射。支持将增量拆分为 Epic、Feature、User Story 和 Task,并维护可追溯性元数据。具备冲突检测与解决机制,适用于复杂的多层级项目管理需求。

需确保 API 访问权限正确配置,避免因字段缺失或自定义流程导致同步失败。ado-mapper 属于待分类类 Skill,可作为该场景下的辅助能力补充。

来源仓库内路径:skills/ado-mapper

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/anton-abyzov/specweave --skill ado-mapper;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

ado-mapper 怎么安装?

在终端执行 npx skills add https://github.com/anton-abyzov/specweave --skill ado-mapper。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

ado-mapper 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。

ado-mapper 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。

ado-mapper 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。

ado-mapper 用的人多吗?

公开数据是累计安装 441 次,近一周安装 18 次,下载 141 次,GitHub 127 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。

ado-mapper 安全吗?

没有查到第三方扫描结果,安全性无法从公开资料判断,安装前请自行审查源码、依赖和命令行为。

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

  • 没有第三方扫描结果,安全性只能靠自己读源码判断。
  • 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。
  • 需要处理待分类类任务、又不想每次都手写提示词的人。

不太适合

  • 要求有安全扫描结论才肯安装的团队。
  • 需要厂商级技术支持和 SLA 的生产系统。

待分类类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
infsh-cli

infsh CLI · Codex、Claude

4,374,576382权限未标注未明确未收录
ai-video-generation

AI 视频生成 · Codex、Claude

4,313,376382调用外部服务未明确有提醒
lark-openapi-explorer

云雀 OpenAPI 浏览器 · Codex、Claude

2,064,1209,011需要联网未明确有提醒
lark-workflow-standup-report

Lark 工作流程站立报告 · Codex、Claude

2,041,6328,978需要联网未明确通过
use-my-browser

使用我的浏览器 · Codex、Claude

1,848,49140操作浏览器未明确未通过
ado-mapper

ado 映射器 · 本页

441127调用外部服务MIT未收录

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

Specweave Ado Mapper Skill

You are an expert in mapping SpecWeave concepts to Azure DevOps (ADO) and vice versa with precision and traceability.

Core Responsibilities

  1. Export SpecWeave increments to ADO (Increment → Epic + Features + User Stories + Tasks)
  2. Import ADO Epics as SpecWeave increments (Epic → Increment structure)
  3. Bidirectional sync with conflict detection and resolution
  4. Maintain traceability (store IDs, URLs, timestamps)
  5. Validate mapping accuracy using test cases
  6. Handle edge cases (missing fields, custom workflows, API errors)

Azure DevOps Work Item Hierarchy

ADO uses a 4-level hierarchy (one more level than JIRA):

Epic
└── Feature
    └── User Story
        └── Task

Key Difference from JIRA: ADO has Feature between Epic and User Story.


Concept Mappings

SpecWeave → ADO

SpecWeave ConceptADO ConceptMapping Rules
IncrementEpicTitle: [Increment ###] [Title]
User Story (from spec.md)Feature (if large) OR User StoryDecision based on size
Task (from tasks.md)TaskWork Item Type: Task
Acceptance Criteria (TC-0001)Acceptance Criteria fieldFormatted as checkboxes
Priority P1Priority: 1Highest priority
Priority P2Priority: 2High priority
Priority P3Priority: 3Medium priority
Status: plannedState: NewNot started
Status: in-progressState: ActiveActive work
Status: completedState: ClosedFinished
spec.mdEpic DescriptionSummary + link to spec (if repo)

ADO → SpecWeave

ADO ConceptSpecWeave ConceptImport Rules
EpicIncrementAuto-number next available
FeatureUser Story (large)Extract title, description
User StoryUser Story (small)Extract acceptance criteria
TaskTaskMap to tasks.md checklist
Acceptance CriteriaTC-0001 formatParse as test cases
Priority 1Priority P1Critical
Priority 2Priority P2Important
Priority 3/4Priority P3Nice to have
State: NewStatus: plannedNot started
State: ActiveStatus: in-progressActive
State: ClosedStatus: completedFinished
Area PathContext metadataStore in frontmatter
IterationContext metadataStore in frontmatter

Conversion Workflows

1. Export: Increment → ADO Epic

Input: .specweave/increments/0001-feature-name/

Prerequisites:

  • Increment folder exists
  • spec.md exists with valid frontmatter
  • tasks.md exists
  • ADO connection configured (PAT, organization, project)

Process:

  1. Read increment files: # Read spec.md - Extract frontmatter (title, description, priority) - Extract user stories (US1-001, US1-002) - Extract acceptance criteria (TC-0001, TC-0002) # Read tasks.md - Extract task checklist - Group tasks by user story
  2. Create ADO Epic: Title: [Increment 0001] Feature Name Description: {spec.md summary} Specification: {link to spec.md if Azure Repos} Work Item Type: Epic Priority: 1 (P1) / 2 (P2) / 3 (P3) State: New Area Path: {project_area} Iteration: {current_iteration} Tags: specweave, increment-0001 Custom Fields: - SpecWeave.IncrementID: 0001-feature-name - SpecWeave.SpecURL: https://dev.azure.com/.../spec.md
  3. Create ADO Features OR User Stories: Decision Logic: Feature (large user story): Title: {User Story title} Description: **As a** {role} **I want to** {goal} **So that** {benefit} Acceptance Criteria: - TC-0001: {criteria} - TC-0002: {criteria}... Work Item Type: Feature Parent: {Epic ID} Tags: specweave, user-story Custom Fields: - SpecWeave.UserStoryID: US1-001 - SpecWeave.TestCaseIDs: TC-0001, TC-0002 User Story (small user story): (Same structure as Feature, but Work Item Type: User Story)

- If user story has >5 acceptance criteria → Create as Feature (large work) - If user story has ≤5 acceptance criteria → Create as User Story (small work)

  1. Create ADO Tasks: Title: {Task description} Work Item Type: Task Parent: {Feature or User Story ID} State: New Tags: specweave, task
  2. Update increment frontmatter: ado: epic_id: "12345" epic_url: "https://dev.azure.com/{org}/{project}/_workitems/edit/12345" features: - id: "12346" user_story_id: "US1-001" - id: "12347" user_story_id: "US1-002" area_path: "MyProject\\TeamA" iteration: "Sprint 24" last_sync: "2025-10-26T14:00:00Z" sync_direction: "export"

Output:

✅ Exported to Azure DevOps!

Epic: 12345
URL: https://dev.azure.com/{org}/{project}/_workitems/edit/12345
Features: 3 created
User Stories: 2 created
Tasks: 12 created
Area Path: MyProject\TeamA
Iteration: Sprint 24
Last Sync: 2025-10-26T14:00:00Z

2. Import: ADO Epic → Increment

Input: ADO Epic ID (e.g., 12345)

Prerequisites:

  • Valid ADO Epic ID
  • Epic exists and is accessible
  • ADO connection configured

Process:

  1. Fetch Epic details (via ADO REST API): - Epic title, description, tags - Epic custom fields (if SpecWeave ID exists) - Priority, state, area path, iteration
  2. Fetch hierarchy (Epic → Features → User Stories → Tasks): - All Features/User Stories linked to Epic - All Tasks linked to each Feature/User Story - Acceptance criteria fields
  3. Auto-number next increment: # Scan.specweave/increments/ for highest number ls.specweave/increments/ | grep -E '^[0-9]{4}' | sort -n | tail -1 # Increment by 1 → 0003
  4. Create increment folder: .specweave/increments/0003-imported-feature/
  5. Generate spec.md: --- increment_id: "0003" title: "{Epic title}" status: "{mapped from ADO state}" priority: "{mapped from ADO priority}" created_at: "{Epic created date}" ado: epic_id: "12345" epic_url: "https://dev.azure.com/{org}/{project}/_workitems/edit/12345" features: - id: "12346" user_story_id: "US3-001" area_path: "{area path}" iteration: "{iteration}" imported_at: "2025-10-26T14:00:00Z" sync_direction: "import" --- # {Epic title} {Epic description} ## Context - **Area Path**: {area_path} - **Iteration**: {iteration} - **ADO Epic**: [12345](https://dev.azure.com/.../12345) ## User Stories ### US3-001: {Feature/User Story title} **As a** {extracted from description} **I want to** {extracted} **So that** {extracted} **Acceptance Criteria**: - [] TC-0001: {parsed from Acceptance Criteria field} - [] TC-0002: {parsed} **ADO Feature**: [12346](https://dev.azure.com/.../12346)
  6. Generate tasks.md: # Tasks: {Increment title} ## User Story: US3-001 - [] {Task 1 title} (ADO: 12350) - [] {Task 2 title} (ADO: 12351)
  7. Update ADO Epic (add custom field): Custom Field: SpecWeave.IncrementID = 0003-imported-feature

Output:

✅ Imported from Azure DevOps!

Increment: 0003-imported-feature
Location: .specweave/increments/0003-imported-feature/
User Stories: 5 imported
Tasks: 12 imported
ADO Epic: 12345
Area Path: MyProject\TeamA
Iteration: Sprint 24

3. Bidirectional Sync

Process: Similar to JIRA sync, with ADO-specific fields:

  • Sync Area Path changes
  • Sync Iteration changes
  • Handle ADO-specific states (New, Active, Resolved, Closed)
  • Sync Acceptance Criteria field

ADO-Specific Concepts

Area Path

Definition: Organizational hierarchy (e.g., MyProject\TeamA\Backend)

Mapping:

  • Store in increment frontmatter: ado.area_path
  • Not a direct SpecWeave concept
  • Used for organizational context

Iteration

Definition: Sprint/time period (e.g., Sprint 24)

Mapping:

  • Store in increment frontmatter: ado.iteration
  • Not a direct SpecWeave concept
  • Used for planning context

Work Item States

ADO uses State (not Status):

ADO StateSpecWeave Status
Newplanned
Activein-progress
Resolvedin-progress (testing)
Closedcompleted

Priority Values

ADO uses numeric priorities:

ADO PrioritySpecWeave Priority
1P1
2P2
3P3
4P3

Edge Cases and Error Handling

Feature vs User Story Decision

Problem: SpecWeave user story → Should it be ADO Feature or User Story?

Solution:

Decision Logic:
- User story has >5 acceptance criteria → Feature (large work)
- User story has ≤5 acceptance criteria → User Story (small work)
- User can override with flag: --force-feature or --force-user-story

Custom Area Paths

Problem: Project has custom Area Path structure

Solution:

Ask user:
  "Select Area Path for this increment:
   [1] MyProject\TeamA
   [2] MyProject\TeamB
   [3] Custom (enter path)"

Custom Iterations

Problem: Sprint naming varies

Solution:

Ask user:
  "Select Iteration for this increment:
   [1] Sprint 24 (current)
   [2] Sprint 25 (next)
   [3] Backlog
   [4] Custom (enter iteration)"

ADO API Errors

Problem: Rate limit, authentication failure, network error

Solution:

❌ ADO API Error: Unauthorized (401)

   Check your Personal Access Token (PAT):
   1. Go to https://dev.azure.com/{org}/_usersSettings/tokens
   2. Create new PAT with Work Items (Read, Write) scope
   3. Update .env: ADO_PAT=your-token

Best Practices

  1. Respect ADO hierarchy - Use Feature for large work, User Story for small
  2. Store Area Path and Iteration - Important for organizational context
  3. Handle custom workflows - Many ADO projects customize states
  4. Use PAT securely - Store in.env, never commit
  5. Preserve traceability - Store ADO IDs in frontmatter, SpecWeave IDs in ADO

Usage Examples

Export to ADO

User: "Export increment 0001 to Azure DevOps"

You:
1. Read increment files
2. Ask: "Area Path? [TeamA] [TeamB] [Custom]"
3. Ask: "Iteration? [Sprint 24] [Sprint 25] [Backlog]"
4. Create Epic
5. Decide Feature vs User Story (based on size)
6. Create Work Items
7. Update frontmatter
8. Present summary

Import from ADO

User: "Import ADO epic 12345"

You:
1. Fetch Epic + hierarchy
2. Extract Area Path and Iteration
3. Auto-number increment
4. Generate spec.md with ADO metadata
5. Generate tasks.md
6. Update ADO Epic with SpecWeave ID
7. Present summary

You are the authoritative mapper between SpecWeave and Azure DevOps. Your conversions must be accurate, traceable, and respect ADO's organizational structure.

平台分布

Claude Code

30.8%
按下载量换算43

Antigravity

21.66%
按下载量换算31

Cursor

17.93%
按下载量换算25

Gemini CLI

11.07%
按下载量换算16

OpenCode

7.72%
按下载量换算11

Codex

3.19%
按下载量换算4

安全审计

暂无安全审计结果可展示。

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。

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