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.
npxskills add microsoft/skills--skill github-issue-creatorLoading…
Transform messy input (error logs, voice notes, screenshots) into clean, actionable GitHub issues.
## 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]
Create issues as markdown files in /issues/ directory at the repo root. Use naming convention: YYYY-MM-DD-short-description.md
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:
Image/GIF handling: Reference attachments inline. Format: 
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
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Create or update AgentSkills. Use when designing, structuring, or packaging skills with scripts, references, and assets.
Interact with GitHub using the `gh` CLI. Use `gh issue`, `gh pr`, `gh run`, and `gh api` for issues, PRs, CI runs, and advanced queries.
Set up and use 1Password CLI (op). Use when installing the CLI, enabling desktop app integration, signing in (single or multi-account), or reading/injecting/running secrets via op.