version: "1.0.0" name: issue-triage-report description: Generate comprehensive GitHub Feature Area Status reports for the Windows App SDK repository. Use when asked to create triage reports, identify high-priority issues, analyze feature area health, find issues needing attention, or generate status dashboards. Triggers on requests involving issue triage, area status, priority analysis, bug tracking reports, or engineering team focus areas. license: Complete terms in LICENSE.txt

Issue Triage Report Generator

This skill generates comprehensive GitHub Feature Area Status reports that help engineering teams identify high-priority issues, track triage status, and highlight items needing immediate attention.

When to Use This Skill

Primary triggers — Generate a report when:

1. Engineering triage meetings — Create status reports showing open issues, needs-triage counts, and highlighted issues per feature area.

1. Priority analysis requests — Identify which issues should get engineering focus based on deterministic scoring (reactions, age, comments) plus agent content assessment.

1. Feature area health checks — Assess the health of specific areas by analyzing issue distribution, triage backlog, and proposal counts.

1. Dashboard generation — Produce markdown tables or formatted reports for team communication channels.

Anti-patterns — Do NOT use this skill when:

• Looking for a specific issue by number (use GitHub search directly)
• Creating or editing issues (use GitHub MCP tools)
• Analyzing code changes or PRs (use PR management tools)

Prerequisites

• GitHub CLI (gh) installed and authenticated
• PowerShell 5.1+ (Windows) or PowerShell Core (cross-platform)
• Access to the target GitHub repository (microsoft/WindowsAppSDK)
• Area contacts configuration (see below)

Setting Up Area Contacts

The area contacts file maps feature areas to team members. This file is required for contact lookups and is stored in your local .user/ folder (not committed to the repository).

1. Create the directory structure:

``powershell mkdir -p .user/issue-triage-report ``

1. Copy the template and customize:

``powershell cp .github/skills/issue-triage-report/references/area-contacts.json .user/issue-triage-report/area-contacts.json ``

1. Edit .user/issue-triage-report/area-contacts.json with your team's actual contacts

Note: The .user/ folder is gitignored, so your team contacts remain private.

Available Scripts

Generate-FeatureAreaReport.ps1

Generate the full feature area status report with highlight scoring.

Location: ./scripts/Generate-FeatureAreaReport.ps1

./scripts/Generate-FeatureAreaReport.ps1 [-Repo <owner/repo>] [-OutputFormat <markdown|csv|json>] [-HighlightCount <n>]

Example:

./scripts/Generate-FeatureAreaReport.ps1 -OutputFormat markdown -HighlightCount 3

Get-HighlightScore.ps1

Calculate the highlight score for a specific issue to determine priority.

Location: ./scripts/Get-HighlightScore.ps1

./scripts/Get-HighlightScore.ps1 -IssueNumber <number> [-Repo <owner/repo>] [-Verbose]

Example:

./scripts/Get-HighlightScore.ps1 -IssueNumber 4651 -Verbose

Get-AreaContacts.ps1

Retrieve or update the area-to-contact mapping configuration.

Location: ./scripts/Get-AreaContacts.ps1

./scripts/Get-AreaContacts.ps1 [-Area <area-name>] [-Update]

Step-by-Step Workflows

Workflow 1: Generate Weekly Triage Report

1. Ensure GitHub CLI is authenticated:

``powershell gh auth status ``

1. Generate the report:

``powershell ./scripts/Generate-FeatureAreaReport.ps1 -OutputFormat markdown -HighlightCount 3 ``

Before running the command above, have the agent save runtime assessments to:

• ./references/AgentAssessments.json

This file is loaded automatically at script start and applied as per-run overrides. Every assessed issue entry must include agent reasoning in the reasoning field.

Required per-issue schema in assessments:

• severityTier: critical|high|medium|low|none
• isBlocker: true|false
• reasoning: short rationale explaining severity/blocker judgment

Example: ``json { "assessments": { "2894": { "severityTier": "high", "isBlocker": false, "reasoning": "Frequent user impact in notifications flow; clear repro in comments; no confirmed workaround." } } } ``

1. Run an agent content review for each highlighted issue using title, body, labels, and comments.

1. Add annotation tags in report narrative: [severity:critical|high|medium|low|none], [blocker:yes|no], and optional [confidence:XX].

1. Copy output to team communication channel (Teams, email, wiki)

Workflow 2: Analyze a Specific Feature Area

1. Get area-specific issues:

``powershell gh issue list --repo microsoft/WindowsAppSDK --label "area-Notifications" --state open --json number,title,body,labels,reactionGroups,createdAt,comments ``

1. Check individual issue scores:

``powershell ./scripts/Get-HighlightScore.ps1 -IssueNumber 2894 -Verbose ``

1. Review scoring factors and prioritize accordingly

Workflow 3: Update Area Contacts

1. View current contacts:

``powershell ./scripts/Get-AreaContacts.ps1 ``

1. Update specific area contact:

``powershell ./scripts/Get-AreaContacts.ps1 -Area "area-Notifications" -Update ``

Highlight Scoring Algorithm

Issues are scored with a normalized composite on a 0..100 scale. See scoring-algorithm.md for complete details.

PowerShell computes deterministic score factors and highlight labels. Severity and blocker are assessment-driven inputs.

Scripts load baseline assessments from:

• ./references/IssueAssessments.json

They also load runtime agent assessments from:

• ./references/AgentAssessments.json

If both files include the same issue number, IssueAssessments.json takes precedence.

If either file is missing or malformed, scripts emit status/warning output and continue with fallback behavior.

Implementation note: scripts load these files through a single Read-Assessments function in ./scripts/ReportLib.ps1 using -AssessmentType Issue or -AssessmentType Agent.

Agent Content Review

After generating scores, review each highlighted issue and assign these annotations based on title, body, labels, and comments:

• [severity:critical|high|medium|low|none]
• [blocker:yes|no]
• [confidence:XX]

After assigning annotations, persist the same decision to ./references/AgentAssessments.json and include reasoning for every updated issue entry.

Use this severity rubric:

Mark [blocker:yes] only when issue content explicitly indicates dependency blocking (for example: "blocked by", "blocking release", "must be fixed before") and no workaround has been provided. Otherwise use [blocker:no].

Use this confidence rubric:

Confidence should consider:

• whether the issue body and comments clearly support the highlight label
• whether the numeric score is driven by multiple meaningful factors instead of one outlier
• whether the issue still appears relevant after reading recent discussion
• whether the highlight reason would be easy to defend in a triage meeting

Quick Reference: Score Factors

Total = min(100, round(sum of factor points, 1)).

rankingCeilings are independent per-factor scales and do not need to sum to any target.

recommendationBands are fixed score-ratio boundaries (high, medium, normal) used to classify recommendations. They are ratio cutoffs, not statistical percentiles.

Highlight Labels (Output)

The report adds reason labels to highlighted issues:

Report Output Format

Markdown Table (Default)

| Feature Area | Area Contact | Open | Triage | Proposals | Closed | Highlights |
|--------------|--------------|------|--------|-----------|--------|------------|
| area-Notification | Contact Name | 34 | 8 | 11 | 0 | 🌟 [#2894](link), ⏰ [#3001](link) |
| area-Widgets | Contact Name | 21 | 10 | 4 | 0 | 📈 [#3958](link) |

Agent-Reviewed Output

When producing the final narrative report, the agent should append content-review annotations:

| Feature Area | Area Contact | Open | Triage | Proposals | Closed | Highlights |
|--------------|--------------|------|--------|-----------|--------|------------|
| area-Notification | Contact Name | 34 | 8 | 11 | 0 | 🌟 [#2894](link) [severity:high] [blocker:no] [confidence:85], ⏰ [#3001](link) [severity:medium] [blocker:no] [confidence:72] |
| area-Widgets | Contact Name | 21 | 10 | 4 | 0 | 📈 [#3958](link) [severity:low] [blocker:no] [confidence:68] |

Special Status Indicators

Configuration

Area Contacts

Contact mappings are stored in area-contacts.json. Update this file when team assignments change.

Custom Scoring Weights

Modify scoring weights in ./scripts/ScoringConfig.json.

severityMultipliers maps assessment tiers to the percentage of weights.severity that is applied.

Troubleshooting

Common Commands Reference

# List all area labels (uses Get-RepositoryLabels.ps1 as the single source of truth)
./.github/skills/triage-meeting-prep/scripts/Get-RepositoryLabels.ps1 -Filter "area-*" -OutputFormat table
 
# Get issue details with reactions
gh issue view 4651 --repo microsoft/WindowsAppSDK --json number,title,labels,reactionGroups,createdAt,comments,author
 
# List issues needing triage
gh issue list --repo microsoft/WindowsAppSDK --label "needs-triage" --state open --json number,title,labels
 
# Export all open issues to JSON
gh issue list --repo microsoft/WindowsAppSDK --state open --limit 1000 --json number,title,labels,reactionGroups,createdAt,comments,author

References

• Scoring Algorithm Details — Complete scoring methodology
• Area Contacts — Feature area ownership mapping
• Report Template — Customizable output template