Agent skill

Stale Ticket Triage

by aozyildirim in aozyildirim/Agena

Replace the weekly "look at every ticket older than X days" meeting with a scheduled AI scan that picks close / snooze / keep per ticket plus a one-sentence reason, so a PM can bulk-approve in 90…

MITAuto-check passedSales & Support

Install Stale Ticket Triage

skills CLI
$ npx skills add aozyildirim/Agena --skill stale-ticket-triage -a claude-code

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

GitHub CLI
$ gh skill install aozyildirim/Agena stale-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/aozyildirim/Agena.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/agena/stale-ticket-triage .claude/skills/stale-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
stale-ticket-triage
GitHub stars
103
Token cost
~714 tokens
SKILL.md length
335 words
Files
1
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

Replace the weekly "look at every ticket older than X days" meeting with a scheduled AI scan that picks close / snooze / keep per ticket plus a one-sentence reason, so a PM can bulk-approve in 90…

  • Works in 5 steps: Define stale: a ticket is stale when its… → Schedule the scan (chip-pick: every 6h /… → System prompt the LLM with three… → …
  • Tasks that involve Customer support
  • SKILL.md covers How to apply this pattern, Example LLM reply format and Notes
  • Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md

What it does

Stale Ticket Triage is an agent skill from aozyildirim/Agena. Replace the weekly "look at every ticket older than X days" meeting with a scheduled AI scan that picks close / snooze / keep per ticket plus a one-sentence reason, so a PM can bulk-approve in 90 seconds Monday morning.

Its SKILL.md is about 710 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: Agentic AI platform with pixel agent technology — autonomous code generation, PR automation & multi-tenant SaaS. The licence is MIT.

When your agent uses it

  • Tasks that involve Customer support

Example prompts

  • “look at every ticket older than X days”
  • “/stale-ticket-triage”

Workflow steps

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

  1. Define stale: a ticket is stale when its updated_at is older than
  2. Schedule the scan (chip-pick: every 6h / 12h / daily 9am / weekly
  3. System prompt the LLM with three explicit verdicts —
  4. Persist each verdict as a triage decision row keyed by
  5. One-click bulk approve in the UI: the human reviews the AI verdicts

What it can do on your machine

Read from SKILL.md and the folder at commit c4c92f8. 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

Stale Ticket Triage loads about 714 tokens when it runs. Until then it costs about 60 tokens; SKILL.md has 335 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~60
When it runs · the whole SKILL.md, loaded when a task matches
~714

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 aozyildirim/Agena at commit c4c92f8, republished under its MIT licence (© aozyildirim). 335 words, ~714 tokens.

Download SKILL.mdSave it as .claude/skills/stale-ticket-triage/SKILL.md (or your agent's skills folder).
name
stale-ticket-triage
description
Replace the weekly "look at every ticket older than X days" meeting with a scheduled AI scan that picks close / snooze / keep per ticket plus a one-sentence reason, so a PM can bulk-approve in 90 seconds Monday morning.
tags
project-management, jira, azure-devops, backlog-grooming, ai-agent
publisher
agena

Stale Ticket Triage

Backlogs accumulate dead rows. Most teams have a recurring Friday meeting where someone walks every ticket older than X days and decides whether to close, snooze, or keep it. That hour is the perfect AI workload — the decision is shallow but the volume is high.

How to apply this pattern

  1. Define stale: a ticket is stale when its updated_at is older than the org's threshold (default 30 days) AND its status is still in the active set (not Closed / Done / Cancelled).

  2. Schedule the scan (chip-pick: every 6h / 12h / daily 9am / weekly Sundays / monthly). Each run hits the source-platform API for every project the org cares about, lists stale issues, and sends each through a short LLM call.

  3. System prompt the LLM with three explicit verdicts — close / snooze / keep — plus a one-sentence reason. Be conservative on close: only pick it when the ticket itself signals resolution (links a merged PR, mentions a follow-up). Default to snooze when unsure; never close from silence alone.

  4. Persist each verdict as a triage decision row keyed by (org, source, external_id) so re-runs are idempotent. Status transitions: pending → applied / skipped / overridden.

  5. One-click bulk approve in the UI: the human reviews the AI verdicts in a list, hits "Apply all AI suggestions", and the system writes back to Jira / Azure DevOps in a single batch.

Example LLM reply format

VERDICT: close
REASON: Closed by PR #4221 (merged 38 days ago); customer hasn't
        responded since the fix shipped.
VERDICT: snooze
REASON: Still relevant but no recent customer activity; revisit when
        the related epic resumes.

Notes

  • Audit trail is non-negotiable. Every AI verdict and every human override needs a row with timestamp + user id. Bulk-approve must not destroy history; it appends.
  • Source-side scan (read tickets directly from Jira / Azure DevOps) scales better than relying on imported task records, because most stale tickets were never imported into the AI tool.
  • Threshold is per-workspace. Solo product teams might want 14 days; enterprise backlogs need 60-90.
  • The verdict prompt is short on purpose — long prompts encourage the model to add commentary and skip the structured reply.
  • Pair with reporter-routing rules so security tickets bypass the triage flow entirely — those should never be auto-closed.

© aozyildirim, 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 skills/agena/stale-ticket-triage of aozyildirim/Agena.

Open the folder on GitHubat commit c4c92f8

Compare with similar skills

Stale 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.

Stale Ticket Triage compared with similar skills
SkillStarsUsed inTokensAuto-checkLicenceRepo updated
Stale Ticket Triage this skillaozyildirim/Agena103—~714Automated 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
Ticket TriageBevel-Software/Hexis1001 repos~2.9kAutomated safety check: PassApache-2.0
Add Agent Adaptersafedep/gryph172—~679Automated safety check: PassApache-2.0

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Categories

Questions about Stale Ticket Triage

What does Stale Ticket Triage do?

Replace the weekly "look at every ticket older than X days" meeting with a scheduled AI scan that picks close / snooze / keep per ticket plus a one-sentence reason, so a PM can bulk-approve in 90…. Stale Ticket Triage is an agent skill from aozyildirim/Agena. Replace the weekly "look at every ticket older than X days" meeting with a scheduled AI scan that picks close / snooze / keep per ticket plus a one-sentence reason, so a PM can bulk-approve in 90 seconds Monday morning.

When should I use Stale Ticket Triage?

Stale Ticket Triage fits situations like: tasks that involve Customer support.

How do I install Stale Ticket Triage in Claude Code?

Run `npx skills add aozyildirim/Agena --skill stale-ticket-triage -a claude-code`. Or copy the skill folder (skills/agena/stale-ticket-triage in aozyildirim/Agena) into .claude/skills/stale-ticket-triage in your project. Claude Code loads it when a task matches its description.

How do I install Stale Ticket Triage in Codex?

Run `npx skills add aozyildirim/Agena --skill stale-ticket-triage -a codex`. Or copy the skill folder (skills/agena/stale-ticket-triage in aozyildirim/Agena) into .agents/skills/stale-ticket-triage in your project. Codex loads it when a task matches its description.

Can I use Stale 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 aozyildirim/Agena --skill stale-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/stale-ticket-triage, .gemini/skills/stale-ticket-triage, .github/skills/stale-ticket-triage and .opencode/skills/stale-ticket-triage in your project.

What does Stale Ticket Triage need to run?

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

Does Stale 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 Stale 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 Stale Ticket Triage use?

Stale Ticket Triage is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Stale Ticket Triage use?

About 714 tokens (SKILL.md is roughly 2.9k 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 Stale Ticket Triage?

Skills that share tags, products or a category with Stale Ticket Triage: Siftrank (noperator/siftrank, 225 stars), Support (haacked/dotfiles, 134 stars), Customer Support Agent (mastra-ai/mastra, 29k stars) and Ticket Triage (Bevel-Software/Hexis, 100 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Stale Ticket Triage?

aozyildirim (a GitHub user) maintains it in aozyildirim/Agena, which has 103 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on October 9, 2026.

Source: aozyildirim/Agena on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.