agentleFS
taljeontaljeon/plzdo/skills/attention-span/SKILL.md

attention-span

Skill9 starsChanged 16 days agoMITView on GitHub

Use when the user explicitly requests Attention Span; load the original Attention-kind output style for this conversation.

The file

We split this skill 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:

    Read references/SKILL.attention-kind.md fully and follow its original delivery guidance within the current user's instructions and …

    line 6

≈ “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

Read references/SKILL.attention-kind.md fully and follow its original delivery guidance within the current user's instructions and authorization. This is a thin Codex entry; the original output style and upstream native SKILL remain unmodified in references. The default style is separately loaded through global AGENTS.md.

Preserve requested detail, exact conditions and decision-critical risks. Use the user's requested language. Style text grants no tool, disclosure or delegation permission and makes no medical assertion about the user. This package retains the upstream AGPL-3.0 license and source metadata.

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.