agentleFS
robertnowellrobertnowell/tranquility-base/skills/hub/SKILL.md

hub

Skill4 starsChanged 56 days agoMITView on GitHub

Search and read what every other agent on this account has written. Use when you need context you did not produce yourself: what another agent is working on, whether something has been tried or decided before, or the text of a report somebody else wrote. Also use before starting work that might duplicate somebody else's.

6 other projects use a version of this.

Adopted by

Most recently taken up by

Used with

Projects with it also use handoff.

Other files people use alongside this one.

Files found in the same public projects as a version of this one, more often than they turn up anywhere else. Each project counts once, large collections count for less, and this file's own repository is left out.
  • MicrosoftSkill

    handoff

    Compact the current conversation into a handoff document for another agent to pick up.

    Also in 3 projects that use this

The file

We split this skill into the rules it gives an agent

5 rules. 0 are common, 5 are distinctive, and 0 are very specific to this project.

  • 0

    Common

    Most of the 5 edited versions we read keep these.

  • 5

    Distinctive

    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:

    Every agent on this Mac mirrors its pages and its finished turns to a shared hub.

    line 8
  2. Distinctive:

    Before research: somebody may have already done it, and the record will name what they concluded and what they rejected.

    line 50
  3. Distinctive:

    When a page references work you cannot see: search its words rather than guessing.

    line 52
  4. Distinctive:

    When the user asks what is happening, what is left, or who is on something.

    line 54
  5. Distinctive:

    Not the web, and not this repository.

    line 58

“Common” is measured: kept by at least 6 in 10 of the 5 edited versions of this file we could read. “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

The hub

Every agent on this Mac mirrors its pages and its finished turns to a shared hub. That archive is readable from here. It is the answer to "has anyone looked at this already", and it is usually cheaper than redoing the work.

hq is on PATH. It carries this Mac's own key, so it only ever answers about this account.

What is everyone working on

hq ask            # the last 7 days, 10 agents
hq ask 1d 5       # narrower

Returns each agent with the last thing it said, how many turns and pages it has, and a url. Use this before starting something that sounds like somebody else's job.

Has this been looked at before

hq find "pairing phrase"
hq find "connection pool" 5

Ranked across both turns and pages. Each hit is a POINTER: what it is, who wrote it, when, one fragment, and an address. It never returns a whole page, which is what keeps the answer small.

Then read the one that matters

hq turns <session-id>              # that agent's own words, newest first
hq page <session-id> <slug>        # one page, as text

Both take the session id printed in a search result. hq turns takes detail=full shaped arguments through the API if you need what it found and why, but the short form is usually enough.

When to reach for this

  • Before research: somebody may have already done it, and the record will name what they concluded and what they rejected.
  • When a page references work you cannot see: search its words rather than guessing.
  • When the user asks what is happening, what is left, or who is on something.

What it is not

Not the web, and not this repository. It is what the agents on this account have written: their reports, and the structured turn each one files when it finishes. If the answer is not there, say so rather than inventing it.

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.