Agent skill

Ticket Triage

by seb1n in seb1n/awesome-ai-agent-skills

Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses.

MITAuto-check passedSales & Support

Install Ticket Triage

skills CLI
$ npx skills add seb1n/awesome-ai-agent-skills --skill ticket-triage -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install seb1n/awesome-ai-agent-skills ticket-triage --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/seb1n/awesome-ai-agent-skills.git skills-src && mkdir -p .claude/skills && cp -r skills-src/customer-success/ticket-triage .claude/skills/ticket-triage && rm -rf skills-src

Use ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.

Claude Code skills documentation · loads skills from .claude/skills/

Facts

Skill name
ticket-triage
GitHub stars
206
Token cost
~1.9k tokens
SKILL.md length
991 words
Files
1
Skills in repo
101
Repo updated
First seen
Licence
MIT

At a glance

Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses.

  • Works in 6 steps: Receive and parse the ticket — Ingest… → Extract intent and entities — Analyze… → Classify into category — Map the… → …
  • The user requests ticket triage
  • SKILL.md covers Workflow, Usage, Examples and Best Practices, plus 1 more section
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Ticket Triage is an agent skill from seb1n/awesome-ai-agent-skills. Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses. Use when the user requests ticket triage or provides relevant inputs for this workflow.

Its SKILL.md is about 1.9k tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.

It sits in Sales & Support, covering Customer support. The repository describes itself as: 103 ready-to-use AI agent skills for Claude Code, OpenAI Codex, Gemini CLI, Cursor, GitHub Copilot, Windsurf, and other Agent Skills-compatible tools. Complete SKILL.md… The licence is MIT.

When your agent uses it

  • The user requests ticket triage
  • Provides relevant inputs for this workflow

Example prompts

  • “/ticket-triage”

Workflow steps

6 steps, taken from the first numbered list in SKILL.md.

  1. Receive and parse the ticket — Ingest the raw ticket including subject, body, customer metadata (account tier, plan, tenure), and any…
  2. Extract intent and entities — Analyze the cleaned ticket text to determine the customer's primary intent (reporting a bug, asking a…
  3. Classify into category — Map the extracted intent to one of the standard categories: billing (charges, invoices, refunds, plan changes)…
  4. Assign priority using impact and urgency — Score priority from P0 to P3 using a matrix. P0: production outage or data loss affecting…
  5. Route to the appropriate team — Map the category and priority to a team: billing tickets go to the Finance Support queue, bugs route to…
  6. Generate initial response — Draft a first reply that acknowledges the issue, sets expectations on response time based on priority…

What it can do on your machine

Read from SKILL.md and the folder at commit 75865a5. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    No scripts in the folder and no shell commands in SKILL.md.

    From the folder's file list and the shell code blocks in SKILL.md.

  • Network

    No URLs in SKILL.md.

    From URLs in SKILL.md, links to its own repository left out.

  • Credentials

    Names no API keys, tokens, secrets or passwords.

    From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.

Context cost

Ticket Triage loads about 1.9k tokens when it runs. Until then it costs about 62 tokens; SKILL.md has 991 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~62
When it runs · the whole SKILL.md, loaded when a task matches
~1.9k

Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.

Safety

Auto-check passed

The automated check found no risky patterns in SKILL.md.

Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.

SKILL.md

The full file from seb1n/awesome-ai-agent-skills at commit 75865a5, republished under its MIT licence (© seb1n). 991 words, ~1,857 tokens.

Download SKILL.mdSave it as .claude/skills/ticket-triage/SKILL.md (or your agent's skills folder).
name
ticket-triage
description
Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses. Use when the user requests ticket triage or provides relevant inputs for this workflow.
license
MIT
metadata.author
community
metadata.version
1.0

Ticket Triage

Automatically classify, prioritize, and route incoming customer support tickets to the right team with a suggested first response. This skill processes raw ticket text, identifies the customer's intent and key entities (product area, account tier, error codes), assigns a category and priority level, then routes to the appropriate team while drafting an empathetic initial reply.

Workflow

  1. Receive and parse the ticket — Ingest the raw ticket including subject, body, customer metadata (account tier, plan, tenure), and any attachments or screenshots. Normalize the text by stripping signatures, quoted replies, and boilerplate. Extract structured fields like order IDs, error codes, and URLs.

  2. Extract intent and entities — Analyze the cleaned ticket text to determine the customer's primary intent (reporting a bug, asking a question, requesting a feature, disputing a charge). Identify named entities such as product names, feature areas, API endpoints, and specific error messages. Tag sentiment as positive, neutral, negative, or urgent.

  3. Classify into category — Map the extracted intent to one of the standard categories: billing (charges, invoices, refunds, plan changes), bug (errors, crashes, unexpected behavior), feature-request (new functionality, integrations, enhancements), or how-to (setup, configuration, usage questions). If a ticket spans multiple categories, assign the primary and note secondaries.

  4. Assign priority using impact and urgency — Score priority from P0 to P3 using a matrix. P0: production outage or data loss affecting multiple customers. P1: major functionality broken for a single enterprise account. P2: degraded experience with a workaround available. P3: general questions or minor cosmetic issues. Factor in account tier — enterprise accounts get a one-level priority bump.

  5. Route to the appropriate team — Map the category and priority to a team: billing tickets go to the Finance Support queue, bugs route to Engineering Triage (P0/P1) or Product Support (P2/P3), feature requests go to Product Management, and how-to tickets go to Customer Education. Attach relevant context and internal notes.

  6. Generate initial response — Draft a first reply that acknowledges the issue, sets expectations on response time based on priority, includes any immediate self-serve resources (KB articles, status page links), and asks clarifying questions if the ticket is ambiguous. Match tone to sentiment — empathetic for frustrated customers, concise for technical users.

Usage

Provide a support ticket (or batch of tickets) and ask the agent to triage them. Include customer metadata when available for better priority assignment.

Triage these support tickets and output a classification table with category,
priority, assigned team, and a draft first response for each.

Examples

Example 1: Batch triage of 5 tickets

Input: 5 support tickets from the past hour.

Output:

#SubjectCategoryPriorityTeamSuggested Response
1"Can't login since this morning"bugP1Engineering Triage"Hi Sarah, I'm sorry you're locked out. I've escalated this to our engineering team and they're investigating now. As a workaround, try clearing your browser cache or using an incognito window. We'll update you within 2 hours."
2"How do I export data to CSV?"how-toP3Customer Education"Hi James, great question! You can export to CSV from Settings → Data → Export. Here's our step-by-step guide: [link]. Let me know if you hit any snags."
3"Charged twice for March"billingP2Finance Support"Hi Priya, I apologize for the duplicate charge. I've flagged your account for review and our billing team will process the refund within 3-5 business days. You'll receive a confirmation email."
4"Would love Slack integration"feature-requestP3Product Management"Hi Tom, thanks for the suggestion! A Slack integration is something we're hearing a lot about. I've added your vote to our feature tracker and will notify you if it moves to our roadmap."
5"Dashboard is down for our entire org"bugP0Engineering Triage"Hi Alex, this is our top priority right now. Our on-call engineering team has been paged and is actively investigating. Check status.example.com for live updates. I'll follow up within 30 minutes with a status."
Show full SKILL.md (367 more words)Show less
Example 2: Urgent production outage escalation

Input: "URGENT: All API requests returning 500 errors since 14:32 UTC. Affecting our production environment. 50,000+ end users impacted. Enterprise plan."

Output:

  • Category: bug
  • Priority: P0 (production outage, multiple end users, enterprise account)
  • Team: Engineering Triage → Immediate page to on-call SRE
  • Escalation path: Auto-notify VP Engineering, assigned CSM, and account executive
  • SLA clock: 15-minute first response, 1-hour status update cadence
  • Draft response: "Hi — this is marked as our highest priority. Our SRE team has been paged and is investigating the 500 errors starting at 14:32 UTC. We'll provide our first status update within 15 minutes. For real-time updates, monitor status.example.com. I'm your point of contact until this is resolved."

Best Practices

  • Always extract customer account tier before assigning priority — enterprise customers with production impact should never be lower than P1.
  • Use the secondary category tag for tickets that span billing and bug (e.g., "I was charged for a feature that doesn't work") to ensure both teams have visibility.
  • Pre-populate the initial response with relevant KB article links by matching extracted entities against your knowledge base index.
  • Re-triage tickets that receive a customer reply within 1 hour, as additional context often changes the category or priority.
  • Log triage decisions with reasoning so the model can be fine-tuned on corrections from human reviewers.
  • Set up auto-escalation rules: any P0 not acknowledged within 15 minutes should page the on-call manager.

Edge Cases

  • Multi-intent tickets — A single ticket contains both a bug report and a billing dispute. Classify under the higher-priority intent and create a linked ticket for the secondary issue.
  • Spam or vendor outreach — Tickets that are marketing emails or vendor pitches routed through support. Classify as spam, auto-close, and exclude from SLA metrics.
  • Non-English tickets — Detect the language, translate for triage, and route to the appropriate language-specific support queue if one exists. Note the original language in internal metadata.
  • Repeat tickets from the same customer — Detect duplicate or follow-up tickets within a 24-hour window. Merge into the existing thread rather than creating a new triage entry.
  • Tickets with only attachments — When the body is empty but a screenshot or log file is attached, flag for manual review rather than auto-classifying with low confidence.

© seb1n, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file

Files

Just SKILL.md in customer-success/ticket-triage of seb1n/awesome-ai-agent-skills.

Open the folder on GitHubat commit 75865a5

Compare with similar skills

Ticket Triage next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.

Ticket Triage compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Ticket Triage this skillseb1n/awesome-ai-agent-skills206—~1.9kAutomated safety check: PassMIT
Siftranknoperator/siftrank225—~2.9kAutomated safety check: PassMIT
Supporthaacked/dotfiles134—~2.9kAutomated safety check: PassNone
Customer Support Agentmastra-ai/mastra29k—~2.2kAutomated safety check: PassCustom licence
Add Agent Adaptersafedep/gryph172—~679Automated safety check: PassApache-2.0
Agent Support Matrixjazzyalex/agent-sessions895—~587Automated safety check: PassMIT

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Categories

Questions about Ticket Triage

What does Ticket Triage do?

Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses. Ticket Triage is an agent skill from seb1n/awesome-ai-agent-skills. Classify, prioritize, and route incoming support tickets by extracting intent and entities, assigning severity, and generating initial responses.

When should I use Ticket Triage?

Ticket Triage fits situations like: the user requests ticket triage; provides relevant inputs for this workflow.

How do I install Ticket Triage in Claude Code?

Run `npx skills add seb1n/awesome-ai-agent-skills --skill ticket-triage -a claude-code`. Or copy the skill folder (customer-success/ticket-triage in seb1n/awesome-ai-agent-skills) into .claude/skills/ticket-triage in your project. Claude Code loads it when a task matches its description.

How do I install Ticket Triage in Codex?

Run `npx skills add seb1n/awesome-ai-agent-skills --skill ticket-triage -a codex`. Or copy the skill folder (customer-success/ticket-triage in seb1n/awesome-ai-agent-skills) into .agents/skills/ticket-triage in your project. Codex loads it when a task matches its description.

Can I use Ticket Triage in Cursor, Gemini CLI or GitHub Copilot?

Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add seb1n/awesome-ai-agent-skills --skill ticket-triage -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/ticket-triage, .gemini/skills/ticket-triage, .github/skills/ticket-triage and .opencode/skills/ticket-triage in your project.

What does Ticket Triage need to run?

SKILL.md names no scripts, command-line tools or credentials: Ticket Triage is instructions for the agent only.

Does Ticket Triage access the network?

SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.

Is Ticket Triage safe to install?

Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.

What licence does Ticket Triage use?

Ticket Triage is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Ticket Triage use?

About 1.9k tokens (SKILL.md is roughly 7.4k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.

What are the alternatives to Ticket Triage?

Skills that share tags, products or a category with Ticket Triage: Siftrank (noperator/siftrank, 225 stars), Support (haacked/dotfiles, 134 stars), Customer Support Agent (mastra-ai/mastra, 29k stars) and Add Agent Adapter (safedep/gryph, 172 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Ticket Triage?

seb1n (a GitHub user) maintains it in seb1n/awesome-ai-agent-skills, which has 206 GitHub stars. The repository holds 101 skills in this directory. The repository was last updated on August 9, 2026.

Source: seb1n/awesome-ai-agent-skills on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.