agentleFS
kaeawckaeawc/auto-mobile/skills/bun-tasks/SKILL.md

bun-tasks

Skill56 starsChanged 35 days agoApache-2.0View on GitHub

Helper skill for repo-root Bun commands; use it when another skill needs a package.json script instead of an ad hoc command.

The file

We split this skill into the rules it gives an agent

6 rules. About 0 are common, 0 are distinctive, and 6 are 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.

  • 6

    Very specific

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

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

    Use package.json scripts through Bun instead of ad hoc root commands.

    line 8
  2. Very specific:

    Check package.json first for an existing script.

    line 10
  3. Very specific:

    Run repo tasks with bun run <script>.

    line 11
  4. Very specific:

    Prefer existing scripts such as lint, build, test, benchmark-context, and validate:yaml.

    line 12
  5. Very specific:

    When a Bun command emits output you need to inspect later, write it to scratch/ and summarize the result.

    line 13
  6. Very specific:

    Treat this as a helper for validate, test, check-ci, or dead-code, not as the main workflow when the user asks for a higher-level task.

    line 14

≈ “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

Bun Tasks

Use package.json scripts through Bun instead of ad hoc root commands.

  • Check package.json first for an existing script.
  • Run repo tasks with bun run <script>.
  • Prefer existing scripts such as lint, build, test, benchmark-context, and validate:yaml.
  • When a Bun command emits output you need to inspect later, write it to scratch/ and summarize the result.
  • Treat this as a helper for validate, test, check-ci, or dead-code, not as the main workflow when the user asks for a higher-level task.

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.