Issue Triage

3-phase workflow for maintainers: automated audit of all open issues, opt-in deep analysis via parallel agents, and validated triage actions (comments, labels, closures).

When to Use This Skill

| Skill | Usage | Output | |-------|-------|--------| | /issue-triage | Sort, analyze, and act on an issue backlog | Triage tables + analysis + executed actions | | /pr-triage | Sort, review, and comment on a PR backlog | Triage table + reviews + posted comments |

Triggers:

• Manually: /issue-triage or /issue-triage all or /issue-triage 42 57
• Proactively: when >10 open issues without label, or stale issues >30 days detected

Language

• Check the argument passed to the skill
• If en or english → tables and summary in English
• If fr, french, or no argument → French (default)
• Note: GitHub comments and labels (Phase 3) are ALWAYS in English (international audience)

Configuration

Thresholds used throughout the workflow. Edit to match your project:

| Parameter | Default | Description | |-----------|---------|-------------| | staleness_days | 30 | Days without activity before flagging as stale | | very_stale_days | 90 | Days without activity before flagging as very stale | | jaccard_threshold | 60% | Minimum Jaccard similarity to flag two issues as duplicates | | closed_compare_count | 20 | Number of recent closed issues to compare for duplicate detection | | open_limit | 100 | Maximum open issues to fetch and analyze |

Preconditions

bash
git rev-parse --is-inside-work-tree
gh auth status

If either fails, stop and explain what is missing.

Phase 1: Audit (always executed)

Data Gathering (parallel commands)

bash
# Repo identity
gh repo view --json nameWithOwner -q .nameWithOwner

# Open issues (exclude PRs, limit 100)
gh issue list --state open --limit 100 \
  --json number,title,author,createdAt,updatedAt,labels,body,comments,assignees,milestone

# Recent closed issues (for duplicate detection)
gh issue list --state closed --limit 20 \
  --json number,title,body,labels,stateReason

# Open PRs (bodies for cross-reference detection)
gh pr list --state open --limit 50 --json number,title,body

# Collaborators (to distinguish reporter types)
gh api "repos/{owner}/{repo}/collaborators" --jq '.[].login'

Collaborators fallback: if gh api .../collaborators returns 403/404:

bash
# Extract authors from last 10 merged PRs
gh pr list --state merged --limit 10 --json author --jq '.[].author.login' | sort -u

If still ambiguous, ask via AskUserQuestion.

Note: comments field in gh issue list --json comments returns the count, not content. For Phase 2, fetch full content separately: gh issue view {num} --json comments.

Analysis Dimensions

Run all 6 dimensions for each open issue:

1. Categorization

Classify each issue by reading title + first 200 chars of body:

| Category | Label | Criteria | |----------|-------|----------| | Bug | bug | Describes broken behavior, unexpected output, crash | | Feature Request | enhancement | Asks for new functionality | | Question / Support | question | User asking how something works | | Documentation | documentation | Missing or incorrect docs | | Out of Scope | wontfix | Clearly outside project boundaries | | Unclear | needs-info | Body empty, too vague to categorize |

If body is empty → category is always Unclear (never assume).

2. Cross-reference to PRs

Scan each open PR body for references to the issue number:

• Patterns: fixes #N, closes #N, resolves #N, fix #N, close #N (case-insensitive, N = issue number)
• Use regex locally on the body fields already fetched; do NOT make N additional API calls
• If found: flag issue as "PR-linked" with PR number

3. Duplicate Detection via Jaccard Similarity

Algorithm (self-contained, no external library):

For each open issue, compute Jaccard similarity against all other open issues AND the 20 most recent closed issues.

Step 1: Normalize title + first 300 chars of body:
  - Lowercase the full text
  - Strip category prefixes: "feat:", "fix:", "bug:", "chore:", "docs:", "test:", "refactor:"
  - Remove punctuation: .,!?;:'"()[]{}-_/\@#

Step 2: Tokenize:
  - Split on whitespace
  - Remove stop words: the a an is in on to for of and or with this that it can not no be
  - Remove tokens shorter than 3 characters

Step 3: Compute Jaccard:
  tokens_A = set of tokens from issue A
  tokens_B = set of tokens from issue B
  jaccard = |tokens_A ∩ tokens_B| / |tokens_A ∪ tokens_B|

Step 4: Flag:
  - If jaccard >= 0.60: mark as potential duplicate
  - Report: "Similar to #N (Jaccard: 0.72)"
  - Keep the OLDER issue as canonical; newer = duplicate candidate

Jaccard is computed at runtime using the fetched data; no API calls beyond Phase 1 gather.

4. Risk Classification

Assign Red / Yellow / Green based on signals in title + body:

| Level | Color | Criteria | |-------|-------|----------| | Critical | Red | Security vulnerability, data loss, regression blocking users, crash in production | | Needs Attention | Yellow | Missing validation, performance degradation, breaking change undocumented, Unclear with no response for >7 days | | Normal | Green | Everything else |

5. Staleness

| Status | Criterion | |--------|-----------| | Active | Updated within 30 days | | Stale | No activity 30–90 days | | Very Stale | No activity >90 days |

Use updatedAt field. Staleness does NOT depend on comments count; a commented-on issue with old updatedAt is still stale.

6. Recommendations

One recommended action per issue:

| Situation | Action | |-----------|--------| | Category = Unclear, body empty | Comment requesting details | | Jaccard >= 0.60 with known issue | Close as duplicate, link original | | Very stale + no assignee | Comment requesting status, suggest close | | Risk = Red | Pin to top of triage, escalate immediately | | Category = OOS | Close with explanation | | PR-linked | No action needed (tracked via PR) | | Normal + labeled | No action needed |

Output: Triage Tables

## Open Issues ({count})

### Critical: Immediate Attention (Risk: Red)
| # | Title | Category | Reporter | Days Open | Action |
|---|-------|----------|----------|-----------|--------|

### PR-Linked (tracked in open PRs)
| # | Title | Category | PR | Days Open |
|---|-------|----------|----|-----------|

### Active Issues
| # | Title | Category | Labels | Reporter | Days | Action |
|---|-------|----------|--------|----------|------|--------|

### Duplicate Candidates
| # | Title | Similar To | Jaccard | Action |
|---|-------|------------|---------|--------|

### Stale Issues
| # | Title | Category | Last Activity | Reporter | Action |
|---|-------|----------|---------------|----------|--------|

### Summary
- Total open: {N}
- Critical (Red): {count}
- PR-linked: {count}
- Duplicate candidates: {count}
- Stale (30–90d): {count}
- Very stale (>90d): {count}
- Unlabeled: {count}
- Recommended actions: {comment: N, label: N, close: N}

0 issues → display No open issues. and stop.

Protection rules (apply to all phases):

• Never close an issue authored by a collaborator without explicit user confirmation
• Never re-label an issue that already has labels (only add missing labels)
• If body is empty → always request details before any other action
• Never auto-close a Red issue without user confirmation

Automatic Copy

After displaying the triage tables, copy to clipboard using platform-appropriate command:

bash
UNAME=$(uname -s)
if [ "$UNAME" = "Darwin" ]; then
  pbcopy <<'EOF'
{full triage tables}
EOF
elif command -v xclip &>/dev/null; then
  echo "{full triage tables}" | xclip -selection clipboard
elif command -v wl-copy &>/dev/null; then
  echo "{full triage tables}" | wl-copy
elif command -v clip.exe &>/dev/null; then
  echo "{full triage tables}" | clip.exe
fi

Confirm: Triage tables copied to clipboard. (EN) / Tableaux copiés dans le presse-papier. (FR)

Phase 2: Deep Analysis (opt-in)

Issue Selection

If argument passed:

• "all" → all issues with recommended actions
• Numbers ("42 57") → only those issues
• No argument → propose via AskUserQuestion

If no argument, display:

question: "Which issues do you want to analyze in depth?"
header: "Deep Analysis"
multiSelect: true
options:
  - label: "All ({N} issues with recommended actions)"
    description: "Launch parallel analysis agents for each actionable issue"
  - label: "Critical only ({M} Red issues)"
    description: "Focus on high-risk issues requiring immediate action"
  - label: "Duplicate candidates ({K} issues)"
    description: "Verify Jaccard similarity with full body + comments"
  - label: "Stale only ({J} stale issues)"
    description: "Decide which stale issues to close vs. revive"
  - label: "Skip"
    description: "Stop here, audit only"

If "Skip" → end workflow.

Executing Analysis

For each selected issue, launch an analysis agent via Task tool in parallel:

subagent_type: general
model: sonnet
prompt: |
  Analyze GitHub issue #{num}: "{title}"

  **Metadata**: Category={category}, Risk={risk}, Days open={days}, Labels={labels}
  **Reporter**: @{author} ({collaborator? "collaborator" : "external"})
  **Assignees**: {assignees or "none"}

  **Body**:
  {body}

  **Comments** (fetch via: gh issue view {num} --json comments):
  {comments[].body, truncate at 5000 chars total}

  **Duplicate candidates**: {jaccard_results or "none found"}
  **Linked PRs**: {pr_refs or "none"}

  Tasks:
  1. Verify the category assigned in Phase 1 (correct? suggest alternative if not)
  2. If duplicate candidate: confirm or deny similarity with rationale
  3. If Unclear/needs-info: identify exactly what information is missing
  4. Suggest the most appropriate action with exact text if a comment is needed
  5. Estimate effort to fix if it's a Bug or Feature Request (XS/S/M/L/XL)

  Return structured output:
  ### Verification
  ### Duplicate Analysis
  ### Missing Information
  ### Recommended Action
  ### Effort Estimate

Fallback if parallel agents unavailable: run analysis sequentially, one issue at a time. Notify user: Running sequential analysis (parallel agents not available).

Fetch full comments via:

bash
gh issue view {num} --json comments --jq '.comments[].body'

Aggregate all reports. Display a summary after all analyses complete.

Phase 3: Actions (mandatory validation)

Draft Generation

For each analyzed issue, generate the appropriate action using the template templates/issue-comment.md.

3 action types:

| Type | Command | When | |------|---------|------| | Comment | gh issue comment {num} --body-file - | Needs info, stale ping, OOS explanation | | Label | gh issue edit {num} --add-label "{label}" | Unlabeled issue with clear category | | Close | gh issue close {num} --reason "not planned" | Duplicate, OOS, very stale |

Rules:

• Language for comments: English (international audience)
• Labels added: use existing repo labels only (fetch with gh label list)
• Close reason: "not planned" for OOS/duplicate, "completed" only if a fix was merged
• Never post a comment AND close in the same action without user seeing both drafts
• Always attach a comment when closing (explain why)

Display and Validation

Display ALL drafted actions in format:

---
### Draft: Issue #{num}: {title}

**Action**: {Comment / Label / Close + Comment}
**Reason**: {1 sentence}

{full comment text if applicable}

---

Then request validation via AskUserQuestion:

question: "These actions are ready. Which ones do you want to execute?"
header: "Execute Triage Actions"
multiSelect: true
options:
  - label: "All ({N} actions)"
    description: "Execute all drafted triage actions"
  - label: "Issue #{x}: {title_truncated} ({action_type})"
    description: "Execute only this action"
  - label: "None"
    description: "Cancel, execute nothing"

(Generate one option per issue + "All" + "None")

Execution

For each validated action:

bash
# Comment
gh issue comment {num} --body-file - <<'TRIAGE_EOF'
{comment}
TRIAGE_EOF

# Label
gh issue edit {num} --add-label "{label}"

# Close with comment
gh issue comment {num} --body-file - <<'TRIAGE_EOF'
{close comment}
TRIAGE_EOF
gh issue close {num} --reason "not planned"

Confirm each action: Action executed on issue #{num}: {title}

If "None" → No actions executed. Workflow complete.

Edge Cases

| Situation | Behavior | |-----------|----------| | 0 open issues | Display No open issues. + stop | | Body empty | Category = Unclear, action = request details, never assume | | Collaborator as reporter | Protect from auto-close, flag explicitly in table | | Jaccard inconclusive (0.55–0.65) | Flag as "possible duplicate, verify manually" | | Label not in repo | Skip label action, notify user to create the label first | | Issue already closed during workflow | Skip silently, note in summary | | gh api .../collaborators 403/404 | Fallback to last 10 merged PR authors | | Parallel agents unavailable | Run sequential analysis, notify user | | Very large body (>5000 chars) | Truncate to 5000 chars with [truncated] note | | Milestone assigned | Include in table, never close milestoned issues without confirmation |

Notes

• Always derive owner/repo via gh repo view, never hardcode
• Use gh CLI (not curl GitHub API) except for collaborators list
• comments in gh issue list --json comments = count only; full content requires gh issue view {num} --json comments
• Never execute any action without explicit user validation in chat
• Drafted actions must be visible BEFORE any gh issue comment or gh issue close
• Jaccard is computed locally: no external API, no library, pure set operations on fetched data
• Signature on all comments: *Triaged via Claude Code /issue-triage*

Related: /pr-triage

| | /issue-triage | /pr-triage | |--|----------------|--------------| | Scope | Issue backlog | PR backlog | | Use when | Catching up on reporter feedback, periodic issue cleanup | Catching up after PR accumulation | | Phases | 3 (audit + deep analysis + actions) | 3 (audit + deep review + comments) | | Agents | Parallel sub-agents per issue | Parallel sub-agents per PR | | Duplicate detection | Jaccard similarity on title+body | File overlap % between PRs | | Actions | Comment / label / close | GitHub review comment | | Validation | AskUserQuestion before executing | AskUserQuestion before posting |

Decision rule: use /issue-triage for issue backlog management, /pr-triage for code review backlog.