github-issue-creator

作者: microsoft

Convert raw notes, error logs, voice dictation, or screenshots into crisp GitHub-flavored markdown issue reports. Use when the user pastes bug info, error messages, or informal descriptions and wants a structured GitHub issue. Supports images/GIFs for visual evidence.

npx skills add https://github.com/microsoft/skills --skill github-issue-creator

GitHub Issue Creator

Transform messy input (error logs, voice notes, screenshots) into clean, actionable GitHub issues.

Output Template

## Summary
[One-line description of the issue]

## Environment
- **Product/Service**: 
- **Region/Version**: 
- **Browser/OS**: (if relevant)

## Reproduction Steps
1. [Step]
2. [Step]
3. [Step]

## Expected Behavior
[What should happen]

## Actual Behavior
[What actually happens]

## Error Details

[Error message/code if applicable]


## Visual Evidence
[Reference to attached screenshots/GIFs]

## Impact
[Severity: Critical/High/Medium/Low + brief explanation]

## Additional Context
[Any other relevant details]

Output Location

Create issues as markdown files in /issues/ directory at the repo root. Use naming convention: YYYY-MM-DD-short-description.md

Guidelines

Be crisp: No fluff. Every word should add value.

Extract structure from chaos: Voice dictation and raw notes often contain the facts buried in casual language. Pull them out.

Infer missing context: If user mentions "same project" or "the dashboard", use context from conversation or memory to fill in specifics.

Placeholder sensitive data: Use [PROJECT_NAME], [USER_ID], etc. for anything that might be sensitive.

Match severity to impact:

  • Critical: Service down, data loss, security issue
  • High: Major feature broken, no workaround
  • Medium: Feature impaired, workaround exists
  • Low: Minor inconvenience, cosmetic

Image/GIF handling: Reference attachments inline. Format: ![Description](attachment-name.png)

Examples

Input (voice dictation):

so I was trying to deploy the agent and it just failed silently no error nothing the workflow ran but then poof gone from the list had to refresh and try again three times

Output:

## Summary
Agent deployment fails silently - no error displayed, agent disappears from list

## Environment
- **Product/Service**: Azure AI Foundry
- **Region/Version**: westus2

## Reproduction Steps
1. Navigate to agent deployment
2. Configure and deploy agent
3. Observe workflow completes
4. Check agent list

## Expected Behavior
Agent appears in list with deployment status, errors shown if deployment fails

## Actual Behavior
Agent disappears from list. No error message. Requires page refresh and retry.

## Impact
**High** - Blocks agent deployment workflow, no feedback on failure cause

## Additional Context
Required 3 retry attempts before successful deployment

Input (error paste):

Error: PERMISSION_DENIED when publishing to Teams channel. Code: 403. Was working yesterday.

Output:

## Summary
403 PERMISSION_DENIED error when publishing to Teams channel

## Environment
- **Product/Service**: Copilot Studio → Teams integration
- **Region/Version**: [REGION]

## Reproduction Steps
1. Configure agent for Teams channel
2. Attempt to publish

## Expected Behavior
Agent publishes successfully to Teams channel

## Actual Behavior
Returns `PERMISSION_DENIED` with code 403

## Error Details

Error: PERMISSION_DENIED Code: 403


## Impact
**High** - Blocks Teams integration, regression from previous working state

## Additional Context
Was working yesterday - possible permission/config change or service regression

來自 microsoft 的更多技能

oss-growth
microsoft
開源增長駭客角色
agent-framework-azure-ai-py
microsoft
使用Microsoft Agent Framework Python SDK(agent-framework-azure-ai)构建Azure AI Foundry代理。适用于使用AzureAIAgentsProvider创建持久化代理、使用托管工具(代码解释器、文件搜索、网络搜索)、集成MCP服务器、管理对话线程或实现流式响应。涵盖函数工具、结构化输出和多工具代理。
development
airunway-aks-setup
microsoft
在AKS上設定AI Runway——從裸叢集到執行模型。涵蓋叢集驗證、控制器安裝、GPU評估、供應商設定及首次部署。時機:「設定AI Runway」、「上線AKS叢集」、「安裝AI Runway」、「airunway設定」、「部署模型至AKS」、「在AKS上進行GPU推論」、「在AKS上設定KAITO」、「在AKS上執行LLM」、「在AKS上使用vLLM」、「在AKS上設定模型服務」、「AI Runway控制器」。
devops
appinsights-instrumentation
microsoft
使用Azure Application Insights檢測Web應用程式的指南。提供遙測模式、SDK設定與組態參考。適用時機:如何檢測應用程式、App Insights SDK、遙測模式、什麼是App Insights、Application Insights指南、檢測範例、APM最佳實踐。
devops
applicationinsights-web-ts
microsoft
使用Application Insights JavaScript SDK(@microsoft/applicationinsights-web)為瀏覽器/Web應用程式進行檢測。適用於真實使用者監控(RUM)——頁面檢視、點擊、AJAX/fetch依賴、例外、自訂事件,以及與後端OpenTelemetry追蹤關聯的瀏覽器端GenAI代理追蹤。涵蓋SDK載入器指令碼與npm設定、框架擴充(React、React Native、Angular)、點擊分析、遙測初始化器,以及從瀏覽器發出的代理/工具/模型span的OTel GenAI語意慣例。
devops
azure-ai-anomalydetector-java
microsoft
使用適用於 Java 的 Azure AI 異常偵測器 SDK 建置異常偵測應用程式。在實作單變量/多變量異常偵測、時間序列分析或 AI 驅動監控時使用。
development
azure-ai-language-conversations-py
microsoft
使用 azure-ai-language-conversations Python SDK 實作對話語言理解(CLU)。當使用 ConversationAnalysisClient 分析對話意圖與實體、建置 NLP 功能,或將語言理解整合至應用程式時使用。
development
azure-ai-ml-py
microsoft
Azure Machine Learning SDK v2 for Python。用於機器學習工作區、作業、模型、資料集、計算資源與管線。 觸發詞:「azure-ai-ml」、「MLClient」、「workspace」、「model registry」、「training jobs」、「datasets」。
development