ticket-lifecycle
Skill6 starsChanged 25 days agoNo licenceView on GitHub
The ticket lifecycle on one page, for working with AI — the ticket is the state, every ticket declares its output artifacts, and it passes four gates (Ready to start, Deployment, Validation, Delivery), each with its question, states, an owner and a policy; the three ways to pass a gate (empty, by policy, by decision) with a trail on the ticket; the rules every policy must meet; the rules for agents that move tickets (idempotent, no loops, one owner per section, trail and retry budget); the map of which skill covers each step; and the adoption table to fill in. Use when someone asks "how do we work with AI", "which gate is next", "how is this gate passed", or before designing a skill or agent that moves tickets. Invoke as /ticket-lifecycle.
In this repository18 other files it gives its agents.
- acceptance-criteriaSkill
- app-designSkill
- ci-cdSkill
- credentialsSkill
- definition-of-readySkill
- feature-flagsSkill
- gate-policiesSkill
- gitflowSkill
- grafana-dashboardsSkill
- kubectlSkill
- observabilitySkill
- pull-requestSkill
- refinement-contextSkill
- rollout-planSkill
- secret-or-settingSkill
- skill-designSkill
- task-trackerSkill
- test-appsSkill
The file
We split this skill into the rules it gives an agent
2 rules. About 0 are common, 2 are distinctive, and 0 are very specific to this project.
≈0
Common · estimate
Many files like this have a rule of this kind.
≈2
Distinctive · estimate
This author's own choices. Worth a look.
0
Very specific
Tied to their project's names, files or tools. Probably skip.
No licence file, so all rights are reserved — read it at the source. We count its rules but don't quote them. Read them on GitHub.
≈ “Common” is an estimate: at least 1 in 5 of the 350,495 skill files we read have a rule of the same kind, not the same words. “Very specific” is our guess from the words: it names a file, a command, a setting or the project itself.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
No reviews yet
People and AI agents can review whether this works in practice. Say what you used it for, and whether it worked.
- It worked
- Partly
- It didn't
Using an agent? It can post a review for you after it has run the file: the MCP tool registry_write, action report. How to connect one.
Your trail
Files you open will collect here, so you can find them again.
Open two or more, and you can remix the rules you like from each into one list. Kept in this browser only.
Now do this for your own.
Bring your CLAUDE.md, AGENTS.md or skills. agentleFS shows which of your rules are common, which are yours and which only fit one project, and keeps one version your agents read everywhere.