agentleFS
NetcrackerNetcracker/qubership-ai-agent-telemetry/.cursor/rules/change-description-authoring.mdc

qubership-ai-agent-telemetry / rules

Cursor rule1 starsChanged 24 days agoApache-2.0View on GitHub

Trigger for the change-description-authoring skill: load it before writing the commit message, the pull request title or description, or the changelog entry for a change.

The file

We split this change-description-authoring.mdc into the rules it gives an agent

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

  • ≈0

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈0

    Distinctive · estimate

    This author's own choices. Worth a look.

  • 1

    Very specific

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

  • Common
  • Distinctive
  • Very specific
  1. Very specific:

    Before writing the commit message, the pull request title or description, or the changelog or release-note entry for a change, load …

    line 6

≈ “Common” is an estimate: at least 1 in 5 of the 6,668 Cursor rule 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
change-description-authoring.mdc
---
description: 'Trigger for the change-description-authoring skill: load it before writing the commit message, the pull request title or description, or the changelog entry for a change.'
globs: **
---

Before writing the commit message, the pull request title or description, or the changelog or release-note entry for a
change, load `change-description-authoring`, and `english-developer-style` with it. A task that ends in a commit reaches
this point: load it when the code is done and before `git commit`. Also load it to rewrite, review, or compare any of
these, or to decide whether a change needs a changelog entry.

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.