github-issue-creator

---
name: github-issue-creator
description: "Turn error logs, screenshots, voice notes, and rough bug reports into crisp, developer-ready GitHub issues with repro steps, impact, and evidence."
risk: unknown
source: community
date_added: "2026-02-27"
---

# GitHub Issue Creator

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

## Output Template

```markdown
## 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`

## 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**:
```markdown
## 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**:
```markdown
## 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
```

## When to Use
Use this skill when you have unstructured bug input such as pasted errors, support notes, screenshots, or voice dictation and need to turn it into a clean GitHub issue with a summary, reproduction steps, expected vs actual behavior, impact, and attachment references.

## Limitations
- Use this skill only when the task clearly matches the scope described above.
- Do not treat the output as a substitute for environment-specific validation, testing, or expert review.
- Stop and ask for clarification if required inputs, permissions, safety boundaries, or success criteria are missing.

使用 Skill 时，您的对话内容将被发送至 AI 模型进行处理。我们会严格保护您的隐私数据，不会将您的对话内容用于模型训练或分享给第三方。 以下为此 Skill 的数据处理说明。