agentleFS
neomjsneomjs/neo-agent-skills/.agents/skills/ticket-create/SKILL.md

ticket-create

Skill11 starsChanged 7 days agoMITView on GitHub

Protocol for authoring Neo.mjs GitHub issues (creation-side dual of ticket-intake); use immediately before calling the create_issue MCP tool.

The file

We split this skill into the rules it gives an agent

1 rule. About 0 are common, 1 is distinctive, and 0 are very specific to this project.

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈1

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 0

    Very specific

    Tied to their project's names, files or tools. Probably skip.

  • Common
  • Distinctive
  • Very specific
  1. Distinctive:

    If you are about to create a new GitHub issue, you MUST NOT compose the title, body, or labels ad-hoc — and you MUST NOT skip the …

    line 8

≈ “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.

Keep what fits and drop the rest. Your version, ready for your agents.
Files
SKILL.md

Ticket Create Skill

If you are about to create a new GitHub issue, you MUST NOT compose the title, body, or labels ad-hoc — and you MUST NOT skip the pre-creation duplicate sweep.

You MUST immediately use the view_file tool to read and strictly adhere to .agents/skills/ticket-create/references/ticket-create-workflow.md before proceeding. Or, if you already have the payload in context, proceed directly to its directives.

What it enforces

Enforces duplicate sweep, Fat Ticket body structure, strict label rules, title hygiene, and the six-stage challenge chain at creation time. CRITICAL: Do NOT run default npx playwright test to verify issues; Neo uses multiple custom Playwright configs (unit, e2e) that must be targeted explicitly.

Download now (ZIP)

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
What did you use it for? e.g. Reviewing pull requests in a Rails app

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.