跳到正文
cccskills
免费在 GitHub 公开

azure-devops-boards

Use when working with Azure Devops Boards — azure DevOps Boards work item tracking, sprint analysis, burndown metrics, team velocity, and backlog management via Azure DevOps CLI extension.

中文简介正在准备中。当前显示原文说明。

集成工具Azure
查看安装方法

包含的文件(1)

  • SKILL.md7.9 KB

SKILL.md(原文)

安装前可以查看交给 AI 代理的指令内容。

Azure DevOps Boards Skill

Manage and analyze Azure DevOps Boards using az boards and az devops CLI commands.

Discovery-First Rule

ALWAYS discover before acting. Never assume project names, team names, iteration paths, or work item IDs.

# Set default organization
az devops configure --defaults organization="$ORG_URL"

# Discover projects
az devops project list --output json --query "value[].{name:name, id:id, state:state}"

# Discover teams in a project
az devops team list --project "$PROJECT" --output json --query "[].{name:name, id:id}"

Parallel Execution Requirement

ALL independent operations MUST run in parallel using background jobs (&) and wait.

for project in $(echo "$projects" | jq -c '.[]'); do
  {
    name=$(echo "$project" | jq -r '.name')
    az boards query --wiql "SELECT [System.Id] FROM WorkItems WHERE [System.TeamProject]='$name' AND [System.State]='Active'" --project "$name" --output json
  } &
done
wait

Helper Functions

# Query work items with WIQL
query_work_items() {
  local project="$1" wiql="$2"
  az boards query --wiql "$wiql" --project "$project" --output json
}

# Get work item details
get_work_item() {
  local id="$1"
  az boards work-item show --id "$id" --output json \
    --query "{id:id, title:fields.\"System.Title\", state:fields.\"System.State\", type:fields.\"System.WorkItemType\", assignedTo:fields.\"System.AssignedTo\".displayName, priority:fields.\"Microsoft.VSTS.Common.Priority\", storyPoints:fields.\"Microsoft.VSTS.Scheduling.StoryPoints\", iteration:fields.\"System.IterationPath\"}"
}

# List iterations (sprints)
list_iterations() {
  local project="$1" team="$2"
  az boards iteration team list --project "$project" --team "$team" --output json \
    --query "[].{name:name, path:path, startDate:attributes.startDate, finishDate:attributes.finishDate, timeFrame:attributes.timeFrame}"
}

# Get iteration work items
get_iteration_items() {
  local project="$1" iteration="$2"
  az boards query --wiql "SELECT [System.Id],[System.Title],[System.State],[System.AssignedTo],[Microsoft.VSTS.Scheduling.StoryPoints] FROM WorkItems WHERE [System.TeamProject]='$project' AND [System.IterationPath]='$iteration'" --project "$project" --output json
}

Common Operations

1. Sprint Status Overview

# Get current sprint work items
current_iteration=$(az boards iteration team list --project "$PROJECT" --team "$TEAM" --output json \
  --query "[?attributes.timeFrame=='current'] | [0].path" -o tsv)

az boards query --wiql "SELECT [System.Id],[System.Title],[System.State],[System.AssignedTo],[Microsoft.VSTS.Scheduling.StoryPoints],[System.WorkItemType] FROM WorkItems WHERE [System.IterationPath]='$current_iteration' ORDER BY [System.State]" \
  --project "$PROJECT" --output json

2. Burndown Analysis

# Get sprint scope and completion
az boards query --wiql "
  SELECT [System.Id],[System.State],[Microsoft.VSTS.Scheduling.StoryPoints]
  FROM WorkItems
  WHERE [System.IterationPath]='$ITERATION'
  AND [System.WorkItemType] IN ('User Story','Bug')
" --project "$PROJECT" --output json

# Summarize by state
# Parse results to calculate: Total points, Completed points, Remaining points, In Progress points

3. Backlog Health

# Unassigned items in backlog
az boards query --wiql "
  SELECT [System.Id],[System.Title],[System.WorkItemType],[Microsoft.VSTS.Common.Priority]
  FROM WorkItems
  WHERE [System.TeamProject]='$PROJECT'
  AND [System.State]='New'
  AND [System.AssignedTo]=''
  ORDER BY [Microsoft.VSTS.Common.Priority]
" --project "$PROJECT" --output json

# Items without estimates
az boards query --wiql "
  SELECT [System.Id],[System.Title]
  FROM WorkItems
  WHERE [System.TeamProject]='$PROJECT'
  AND [System.WorkItemType]='User Story'
  AND [Microsoft.VSTS.Scheduling.StoryPoints]=''
  AND [System.State] NOT IN ('Closed','Removed')
" --project "$PROJECT" --output json

4. Team Velocity

# Get completed story points per iteration
iterations=$(az boards iteration team list --project "$PROJECT" --team "$TEAM" --output json \
  --query "[?attributes.timeFrame=='past'] | [-3:]")
for iter in $(echo "$iterations" | jq -c '.[]'); do
  {
    path=$(echo "$iter" | jq -r '.path')
    echo "Sprint: $path"
    az boards query --wiql "SELECT [Microsoft.VSTS.Scheduling.StoryPoints] FROM WorkItems WHERE [System.IterationPath]='$path' AND [System.State]='Closed' AND [System.WorkItemType]='User Story'" --project "$PROJECT" --output json
  } &
done
wait

5. Work Item Aging

# Find old items still in active state
az boards query --wiql "
  SELECT [System.Id],[System.Title],[System.CreatedDate],[System.State],[System.AssignedTo]
  FROM WorkItems
  WHERE [System.TeamProject]='$PROJECT'
  AND [System.State] IN ('Active','New')
  AND [System.CreatedDate] < @Today-30
  ORDER BY [System.CreatedDate]
" --project "$PROJECT" --output json

Output Format

Present results as a structured report:

Azure Devops Boards Report
══════════════════════════
Resources discovered: [count]

Resource       Status    Key Metric    Issues
──────────────────────────────────────────────
[name]         [ok/warn] [value]       [findings]

Summary: [total] resources | [ok] healthy | [warn] warnings | [crit] critical
Action Items: [list of prioritized findings]

Target ≤50 lines of output. Use tables for multi-resource comparisons.

Anti-Hallucination Rules

  1. NEVER assume resource names — always discover via CLI/API in Phase 1 before referencing in Phase 2.
  2. NEVER fabricate metric names or dimensions — verify against the service documentation or --help output.
  3. NEVER mix CLI commands between service versions — confirm which version/API you are targeting.
  4. ALWAYS use the discovery → verify → analyze chain — every resource referenced must have been discovered first.
  5. ALWAYS handle empty results gracefully — an empty response is valid data, not an error to retry.

Counter-Rationalizations

ShortcutCounterWhy
"I'll skip discovery and check known resources"Always run Phase 1 discovery firstResource names change, new resources appear — assumed names cause errors
"The user only asked for a quick check"Follow the full discovery → analysis flowQuick checks miss critical issues; structured analysis catches silent failures
"Default configuration is probably fine"Audit configuration explicitlyDefaults often leave logging, security, and optimization features disabled
"Metrics aren't needed for this"Always check relevant metrics when availableAPI/CLI responses show current state; metrics reveal trends and intermittent issues
"I don't have access to that"Try the command and report the actual errorAssumed permission failures prevent useful investigation; actual errors are informative

Common Pitfalls

  1. WIQL syntax: WIQL uses single quotes for string values, not double quotes. Field names with dots must be in square brackets.
  2. Organization default: Always set az devops configure --defaults organization= before running commands.
  3. Story Points field: The field name varies by process template -- Agile uses Microsoft.VSTS.Scheduling.StoryPoints, Scrum uses Microsoft.VSTS.Scheduling.Effort.
  4. Iteration paths: Iteration paths include the project name prefix (e.g., Project\Sprint 1). Use the full path from discovery.
  5. Query limits: WIQL queries return a max of 200 work items by default. Use --top parameter for larger result sets.

评价

还没有评价。欢迎分享你的使用感受。

评论

无需登录即可发表。欢迎分享使用感受、提问,或说明在哪些环境下无法运行。

还没有评论。来写第一条吧。

提交后会立即公开。请勿填写邮箱、电话等个人信息。URL 最多 2 个。

0 / 1000 字

此表单受 reCAPTCHA 保护,适用 Google 的隐私权政策和服务条款。

同一仓库的技能

Cloudflare GraphQL Analytics for zone traffic, firewall events, Workers metrics, and schema exploration. Use when querying Cloudflare analytics data or exploring the GraphQL API.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Alloydb — google AlloyDB instance analysis, query insights, columnar engine optimization, maintenance windows, and cluster health.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Aqua — aqua Security platform analysis. Covers container runtime protection, image assurance policies, compliance frameworks, vulnerability management, workload protection, and registry scanning. Use when analyzing container security posture, reviewing image compliance, investigating runtime alerts, or auditing security policies.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Bigquery — google BigQuery job analysis, slot utilization, cost analysis, dataset management, and query optimization.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Cassandra — apache Cassandra keyspace analysis, compaction strategies, repair status, nodetool operations, and cluster health monitoring.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

Use when working with Checkov — checkov infrastructure-as-code security scanning. Covers Terraform, CloudFormation, Kubernetes, and Dockerfile scanning, policy management, custom checks, compliance frameworks, and suppression management. Use when scanning IaC for security misconfigurations, evaluating compliance, managing custom policies, or reviewing scan results.

中文简介正在准备中。当前显示原文说明。

cloudthinker-ai/CloudSkills62026年4月5日 更新

查看 cloudthinker-ai 的全部技能

报告此技能的问题