ticket-triage

anthropics/knowledge-work-plugins · updated Apr 8, 2026

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$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill ticket-triage
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summary

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

skill.md

/ticket-triage

If you see unfamiliar placeholders or need to check which tools are connected, see CONNECTORS.md.

Categorize, prioritize, and route an incoming support ticket or customer issue. Produces a structured triage assessment with a suggested initial response.

Usage

/ticket-triage <ticket text, customer message, or issue description>

Examples:

  • /ticket-triage Customer says their dashboard has been showing a blank page since this morning
  • /ticket-triage "I was charged twice for my subscription this month"
  • /ticket-triage User can't connect their SSO — getting a 403 error on the callback URL
  • /ticket-triage Feature request: they want to export reports as PDF

Workflow

1. Parse the Issue

Read the input and extract:

  • Core problem: What is the customer actually experiencing?
  • Symptoms: What specific behavior or error are they seeing?
  • Customer context: Who is this? Any account details, plan level, or history available?
  • Urgency signals: Are they blocked? Is this production? How many users affected?
  • Emotional state: Frustrated, confused, matter-of-fact, escalating?

2. Categorize and Prioritize

Using the category taxonomy and priority framework below:

  • Assign a primary category (bug, how-to, feature request, billing, account, integration, security, data, performance) and an optional secondary category
  • Assign a priority (P1–P4) based on impact and urgency
  • Identify the product area the issue maps to

3. Check for Duplicates and Known Issues

Before routing, check available sources:

  • ~~support platform: Search for similar open or recently resolved tickets
  • ~~knowledge base: Check for known issues or existing documentation
  • ~~project tracker: Check if there's an existing bug report or feature request

Apply the duplicate detection process below.

4. Determine Routing

Using the routing rules below, recommend which team or queue should handle this based on category and complexity.

5. Generate Triage Output

## Triage: [One-line issue summary]

**Category:** [Primary] / [Secondary if applicable]
**Priority:** [P1-P4] — [Brief justification]
**Product area:** [Area/team]

### Issue Summary
[2-3 sentence summary of what the customer is experiencing]

### Key Details
- **Customer:** [Name/account if known]
- **Impact:** [Who and what is affected]
- **Workaround:** [Available / Not available / Unknown]
- **Related tickets:** [Links to similar issues if found]
- **Known issue:** [Yes — link / No / Checking]

### Routing Recommendation
**Route to:** [Team or queue]
**Why:** [Brief reasoning]

### Suggested Initial Response
[Draft first response to the customer — acknowledge the issue,
set expectations, provide workaround if available.
Use the auto-response templates below as a starting point.]

### Internal Notes
- [Any additional context for the agent picking this up]
- [Reproduction hints if it's a bug]
- [Escalation triggers to watch for]

6. Offer Next Steps

After presenting the triage:

  • "Want me to draft a full response to the customer?"
  • "Should I search for more context on this issue?"
  • "Want me to check if this is a known bug in the tracker?"
  • "Should I escalate this? I can package it with /customer-escalation."

Category Taxonomy

Assign every ticket a primary category and optionally a secondary category:

Category Description Signal Words
Bug Product is behaving incorrectly or unexpectedly Error, broken, crash, not working, unexpected, wrong, failing
How-to Customer needs guidance on using the product How do I, can I, where is, setting up, configure, help with
Feature request Customer wants a capability that doesn't exist Would be great if, wish I could, any plans to, requesting
Billing Payment, subscription, invoice, or pricing issues Charge, invoice, payment, subscription, refund, upgrade, downgrade
Account Account access, permissions, settings, or user management Login, password, access, permission, SSO, locked out, can't sign in
Integration Issues connecting to third-party tools or APIs API, webhook, integration, connect, OAuth, sync, third-party
Security Security concerns, data access, or compliance questions Data breach, unauthorized, compliance, GDPR, SOC 2, vulnerability
Data Data quality, migration, import/export issues Missing data, export, import, migration, incorrect data, duplicates
Performance Speed, reliability, or availability issues Slow, timeout, latency, down, unavailable, degraded

Category Determination Tips

  • If the customer reports both a bug and a feature request, the bug is primary
  • If they can't log in due to a bug, category is Bug (not Account) — root cause drives the category
  • "It used to work and now it doesn't" = Bug
  • "I want it to work differently" = Feature request
  • "How do I make it work?" = How-to
  • When in doubt, lean toward Bug — it's better to investigate than dismiss

Priority Framework

P1 — Critical

Criteria: Production system down, data loss or corruption, security breach, all or most users affected.

  • The customer cannot use the product at all
  • Data is being lost, corrupted, or exposed
  • A security incident is in progress
  • The issue is worsening or expanding in scope

SLA expectation: Respond within 1 hour. Continuous work until resolved or mitigated. Updates every 1-2 hours.

P2 — High

Criteria: Major feature broken, significant workflow blocked, many users affected, no workaround.

  • A core workflow is broken but the product is partially usable
  • Multiple users are affected or a key account is impacted
  • The issue is blocking time-sensitive work
  • No reasonable workaround exists

SLA expectation: Respond within 4 hours. Active investigation same day. Updates every 4 hours.

P3 — Medium

Criteria: Feature partially broken, workaround available, single user or small team affected.

  • A feature isn't working correctly but a workaround exists
  • The issue is inconvenient but not blocking critical work
  • A single user or small team is affected
  • The customer is not escalating urgently

SLA expectation: Respond within 1 business day. Resolution or update within 3 business days.

P4 — Low

Criteria: Minor inconvenience, cosmetic issue, general question, feature request.

  • Cosmetic or UI issues that don't affect functionality
  • Feature requests and enhancement ideas
  • General questions or how-to inquiries
  • Issues with simple, documented solutions

SLA expectation: Respond within 2 business days. Resolution at normal pace.

Priority Escalation Triggers

Automatically bump priority up when:

  • Customer has been waiting longer than the SLA allows
  • Multiple customers report the same issue (pattern detected)
  • The customer explicitly escalates or mentions executive involvement
  • A workaround that was in place stops working
  • The issue expands in scope (more users, more data, new symptoms)

Routing Rules

Route tickets based on category and complexity:

Route to When
Tier 1 (frontline support) How-to questions, known issues with documented solutions, billing inquiries, password resets
Tier 2 (senior support) Bugs requiring investigation, complex configuration, integration troubleshooting, account issues
Engineering Confirmed bugs needing code fixes, infrastructure issues, performance degradation
Product Feature requests with significant demand, design decisions, workflow gaps
Security Data access concerns, vulnerability reports, compliance questions
Billing/Finance Refund requests, contract disputes, complex billing adjustments

Duplicate Detection

Before creating a new ticket or routing, check for duplicates:

  1. Search by symptom: Look for tickets with similar error messages or descriptions
  2. Search by customer: Check if this customer has an open ticket for the same issue
  3. Search by product area: Look for recent tickets in the same feature area
  4. Check known issues: Compare against documented known issues

If a duplicate is found:

  • Link the new ticket to the existing one
  • Notify the customer that this is a known issue being tracked
  • Add any new information from the new report to the existing ticket
  • Bump priority if the new report adds urgency (more customers affected, etc.)

Auto-Response Templates by Category

Bug — Initial Response

Thank you for reporting this. I can see how [specific impact]
would be disruptive for your work.

I've logged this as a [priority] issue and our team is
investigating. [If workaround exists: "In the meantime, you
can [workaround]."]

I'll update you within [SLA timeframe] with what we find.

How-to — Initial Response

Great question! [Direct answer or link to documentation]

[If more complex: "Let me walk you through the steps:"]
[Steps or guidance]

Let me know if that helps, or if you have any follow-up
questions.

Feature Request — Initial Response

Thank you for this suggestion — I can see why [capability]
would be valuable for your workflow.

I've documented this and shared it with our product team.
While I can't commit to a specific timeline, your feedback
directly informs our roadmap priorities.

[If alternative exists: "In the meantime, you might find
[alternative] helpful for achieving something similar."]

Billing — Initial Response

I understand billing issues need prompt attention. Let me
look into this for you.

[If straightforward: resolution details]
[If complex: "I'm reviewing your account now and will have
an answer for you within [timeframe]."]

Security — Initial Response

Thank you for flagging this — we take security concerns
seriously and are reviewing this immediately.

I've escalated this to our security team for investigation.
We'll follow up with you within [timeframe] with our findings.

[If action is needed: "In the meantime, we recommend
[protective action]."]

Triage Best Practices

  1. Read the full ticket before categorizing — context in later messages often changes the assessment
  2. Categorize by root cause, not just the symptom described
  3. When in doubt on priority, err on the side of higher — it's easier to de-escalate than to recover from a missed SLA
  4. Always check for duplicates and known issues before routing
  5. Write internal notes that help the next person pick up context quickly
  6. Include what you've already checked or ruled out to avoid duplicate investigation
  7. Flag patterns — if you're seeing the same issue repeatedly, escalate the pattern even if individual tickets are low priority
how to use ticket-triage

How to use ticket-triage on Cursor

AI-first code editor with Composer

1

Prerequisites

Before installing skills in Cursor, ensure your development environment meets these requirements:

  • Cursor installed and configured on your development machine
  • Node.js version 16.0+ with npm package manager (verify with node --version)
  • Active project directory or workspace where you want to add ticket-triage
2

Execute installation command

Execute the skills CLI command in your project's root directory to begin installation:

$npx skills add https://github.com/anthropics/knowledge-work-plugins --skill ticket-triage

The skills CLI fetches ticket-triage from GitHub repository anthropics/knowledge-work-plugins and configures it for Cursor.

3

Select Cursor when prompted

The CLI will show a list of available agents. Use arrow keys to navigate and space to select Cursor:

◆ Which agents do you want to install to?
│ ── Universal (.agents/skills) ── always included ────
│ • Amp
│ • Antigravity
│ • Cline
│ • Codex
│ ●Cursor(selected)
│ • Cursor
│ • Windsurf
4

Verify installation

Confirm successful installation by checking the skill directory location:

.cursor/skills/ticket-triage

Reload or restart Cursor to activate ticket-triage. Access the skill through slash commands (e.g., /ticket-triage) or your agent's skill management interface.

Security & Verification Notice

We perform automated surface-level scans (Gen AI Scanner, Socket, Snyk) during installation. These checks detect common vulnerabilities but do not guarantee complete security. Always review skill source code and verify the publisher's reputation before production use.

Skills execute code in your development environment. Always verify the publisher's identity, review recent commits, and test in isolated environments before production deployment.

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Use Cases

User Story & Requirements Generation

Create detailed user stories, acceptance criteria, and feature specs

Example

Generate user stories for 'password reset feature' with acceptance criteria, edge cases, and test scenarios

Reduce spec writing time by 50%, ensure comprehensive coverage

Competitive Analysis

Research competitors, compare features, identify gaps

Example

Analyze 5 competitor products, create feature comparison matrix, suggest differentiation opportunities

Complete competitive research in 2 hours instead of 2 days

Roadmap Prioritization

Evaluate features using frameworks (RICE, ICE, Kano) and create prioritized backlogs

Example

Score 20 feature ideas using RICE framework, generate prioritized roadmap with rationale

Make data-driven prioritization decisions faster

Stakeholder Communication

Draft PRDs, status updates, and stakeholder presentations

Example

Create executive summary of Q3 roadmap, monthly progress report, feature launch announcement

Save 3-5 hours/week on communication overhead

Implementation Guide

Prerequisites

  • Claude Desktop or compatible AI client
  • Access to product documentation and roadmap tools (Jira, Notion, etc.)
  • Understanding of product management frameworks (RICE, Jobs-to-be-Done, etc.)
  • Stakeholder contact information and communication channels

Time Estimate

30-60 minutes to see productivity improvements

Installation Steps

  1. 1.Install product management skill
  2. 2.Start with user story generation for known feature
  3. 3.Progress to competitive analysis: research 2-3 competitors
  4. 4.Use for roadmap prioritization: apply RICE/ICE scoring
  5. 5.Draft stakeholder communications and refine based on feedback
  6. 6.Build template library for recurring PM tasks
  7. 7.Share effective prompts with product team

Common Pitfalls

  • Not validating competitive research—verify facts before sharing
  • Accepting user stories without involving engineering team
  • Over-relying on frameworks without qualitative judgment
  • Not customizing outputs to company culture and communication style
  • Skipping stakeholder validation of generated requirements

Best Practices

✓ Do

  • +Validate research and competitive analysis with real data
  • +Collaborate with engineering when generating technical requirements
  • +Customize frameworks and templates to your company context
  • +Use skill for first drafts, refine with stakeholder input
  • +Document successful prompt patterns for PM tasks
  • +Combine AI efficiency with human judgment and intuition

✗ Don't

  • Don't publish competitive analysis without fact-checking
  • Don't finalize user stories without engineering review
  • Don't make prioritization decisions solely on AI scoring
  • Don't skip customer validation of generated requirements
  • Don't ignore company-specific context and culture

💡 Pro Tips

  • Provide context: company goals, constraints, customer feedback
  • Ask for alternatives: 'Show 3 ways to prioritize this roadmap'
  • Request stakeholder-specific formatting: 'Executive summary vs. engineering spec'
  • Use skill for 70% generation + 30% customization to company needs

When to Use This

✓ Use When

Use for user story writing, competitive research, roadmap prioritization, stakeholder communication, and PRD drafting. Best for reducing repetitive documentation and research work.

✗ Avoid When

Avoid for strategic product vision (requires deep customer empathy), pricing decisions (needs market and financial expertise), or when face-to-face customer discovery is more valuable than speed.

Learning Path

  1. 1Basic: user stories, feature specs, status updates
  2. 2Intermediate: competitive analysis, prioritization frameworks, PRDs
  3. 3Advanced: product strategy, go-to-market planning, OKR setting
  4. 4Expert: product vision, market positioning, business model innovation

Discussion

Product Hunt–style comments (not star reviews)
  • No comments yet — start the thread.
general reviews

Ratings

4.860 reviews
  • Chaitanya Patil· Dec 12, 2024

    We added ticket-triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Zara Bansal· Dec 12, 2024

    Solid pick for teams standardizing on skills: ticket-triage is focused, and the summary matches what you get after install.

  • Hiroshi Martinez· Dec 8, 2024

    ticket-triage is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.

  • Kabir Yang· Dec 8, 2024

    ticket-triage reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Kwame Kim· Dec 4, 2024

    ticket-triage has been reliable in day-to-day use. Documentation quality is above average for community skills.

  • Zara Ghosh· Nov 27, 2024

    Keeps context tight: ticket-triage is the kind of skill you can hand to a new teammate without a long onboarding doc.

  • Diego Bhatia· Nov 27, 2024

    We added ticket-triage from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.

  • Piyush G· Nov 3, 2024

    ticket-triage reduced setup friction for our internal harness; good balance of opinion and flexibility.

  • Olivia Verma· Nov 3, 2024

    Registry listing for ticket-triage matched our evaluation — installs cleanly and behaves as described in the markdown.

  • Kwame Harris· Nov 3, 2024

    ticket-triage fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.

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