agentleFS
tonydzitonydzi/second-brain-starter-kit/AGENTS.md

second-brain-starter-kit

AGENTS.md6 starsChanged 2 months agoMITView on GitHub

Written for AI coding agents, and equally readable by a human contributor. Short on purpose. Русская сводка — в конце. A working "Claude Code as a second brain + working assistant" setup, stripped of personal data and cut down to a portable core: the method, not the data. 100 skills, a CRM engine with sample data, vault templates, engine passports, and the seed message that starts the first session. The primary reader is someone else's agent, bootstrapping a system for…

The file

We split this AGENTS.md into the rules it gives an agent

5 rules. About 1 is common, 3 are distinctive, and 1 is very specific to this project.

  • ≈1

    Common · estimate

    Many files like this have a rule of this kind.

  • ≈3

    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. Distinctive:

    Read what it prints before you "fix" it: the priority column is expected not to reproduce exactly, because the export deliberately does not …

    line 36
  2. Very specific:

    If you changed a skill or a doc, verification is different: paste the before/after of the concrete file, per docs/HOW-TO-CONTRIBUTE.md.

    line 41
  3. Common:

    Method, not data: Every example is fictional.

    line 47
  4. Distinctive:

    Portable paths: No absolute paths and no drive letters.

    line 57
  5. Distinctive:

    If an AI wrote your change, say so in the PR and confirm you ran it.

    line 81

≈ “Common” is an estimate: at least 1 in 5 of the 40,246 AGENTS.md 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
AGENTS.md

AGENTS.md — working in this repo

Written for AI coding agents, and equally readable by a human contributor. Short on purpose. Русская сводка — в конце.

What this repo is

A working "Claude Code as a second brain + working assistant" setup, stripped of personal data and cut down to a portable core: the method, not the data. 100 skills, a CRM engine with sample data, vault templates, engine passports, and the seed message that starts the first session.

The primary reader is someone else's agent, bootstrapping a system for its own operator. That shapes everything below: instructions must survive being executed by a model that has never seen this repo, on a machine you know nothing about.

Layout

  • SEED.md — the first message a user pastes into Claude Code. Everything starts here.
  • BOOTSTRAP-CLAUDE.md — instructions to the installing agent.
  • CLAUDE-EXTERNAL.md — the working principles that become the user's own CLAUDE.md.
  • skills/ — 100 skill commands, mapped in skills/INDEX.md.
  • crm-template/ — markdown "card = file" CRM plus the scoring engine and demo data.
  • engines/ — the published engines; engines/PASSPORTS.md is their catalogue.
  • templates/, docs/ — note templates, onboarding, and what is/isn't shared.
  • HANDOVER.md — entry point if the reader already runs a fleet of agents.

How to verify a change

The one command that exercises real logic end to end, offline:

cd crm-template/reference
python demo.py     # scores the shipped sample, prints bands, queue, and an agreement check

Read what it prints before you "fix" it: the priority column is expected not to reproduce exactly, because the export deliberately does not carry three signals that live in the message store. That gap is documented, not a bug — a PR that makes the numbers agree by changing the model is going the wrong way.

If you changed a skill or a doc, verification is different: paste the before/after of the concrete file, per docs/HOW-TO-CONTRIBUTE.md. Abstract "this could be improved" is nearly impossible to judge and will come back as a question.

Conventions

  • Method, not data. Every example is fictional. No real names, chat identifiers, paths, machine names, or credentials — in code, skills, templates, or sample data. This is the one rule with no exceptions; docs/WHAT-IS-SHARED.md says exactly what is and isn't published.
  • AK-47. The simplest thing that works, repairable by a non-engineer. A simplification that removes a rule or halves a skill without losing anything is the most valuable PR here.
  • Receipts, not "understood". A skill proves it saved something ("wrote X → note Y"); it does not report success on faith.
  • A passport for every engine. New engine → an entry in engines/PASSPORTS.md: what it does, input, output, who calls it, what breaks, how to tell, how to fix. Where the judgement half is not written yet, the passport says so plainly rather than guessing — keep that honesty.
  • Portable paths. No absolute paths and no drive letters. The reader's machine is not yours.
  • Russian and English both live here. Match the language of the file you are editing.

Boundaries — what needs a human

  • SEED.md and BOOTSTRAP-CLAUDE.md. They are executed verbatim by someone else's agent on a machine you cannot see. A wrong instruction there does damage before anyone reads it.
  • Anything that widens what is shared — a new export, a new sample file, a new field.
  • Removing a skill from the published set.

По-русски, коротко

Это метод, а не данные: все примеры вымышленные, ничего личного в репо не попадает. Проверка изменения — python crm-template/reference/demo.py (офлайн, на демо-данных); для правок текста — до→после на конкретном файле, формат в docs/HOW-TO-CONTRIBUTE.md. Самые ценные PR — упрощения. Правки в SEED.md и BOOTSTRAP-CLAUDE.md — только через issue: их дословно исполняет чужой агент на чужой машине.

The deal

Your copyright stays yours, there is no CLA, and issues labelled accepted are free to take — comment "claiming this". Full terms: CONTRIBUTING.md.

If an AI wrote your change, say so in the PR and confirm you ran it. Welcome here — we do it daily. Unread generated code is the one thing that gets closed on sight.

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.