principle-model-the-domain
Skill4 starsChanged 16 days agoMITView on GitHub
Use when writing stateful logic, branch-heavy code, or the same shape assumption repeated across files. Capture domain rules with a state machine, typed model, or lookup table so invalid states cannot be built.
45 other projects use a version of this.
Adopted by
Most recently taken up by
- paramcodes/skillstheir own version, first seen Nov 8, 2026
- tristanphvn/keeltheir own version, first seen Nov 8, 2026
- hidenobunagai/astacktheir own version, first seen Nov 8, 2026
- creedants/pstack-t3their own version, first seen Nov 3, 2026
- painhardcore/pstacktheir own version, first seen Nov 2, 2026
- christofferbergj/agent-skillstheir own version, first seen Nov 1, 2026
Used with
Projects with it also use poteto-help, setup-pstack and 2 more.
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.
ianclearySkillpoteto-help
Guides users through pstack setup, /poteto-mode, and picking the skill, playbook, or principle for a task. Type /poteto-help with a question.
Also in 14 projects that use this
bnemaSkillsetup-pstack
Configure which Pi models pstack uses per role. Detects available provider/model specs and writes pstack's user configuration. Use for /setup-pstack, "configure pstack models", or changing pstack model choices.
Also in 24 projects that use this
tristanphvnSkillketchup-video
Catch the user up like /keel:ketchup, with a short silent video of slides for what happened and the waiting calls as text under it. Use for /keel:ketchup-video.
Also in 10 projects that use this
instructureSkillketchup
Rebuild context after /clear by analyzing uncommitted changes across Canvas LMS and all plugin repositories
Also in 17 projects that use this
Other versions45 projects use a version of this.
Word for word · 0
None found.
Edited · 0
None found.
Wrote their own version · 45
- backnotprop/pstack★ 3.8ksame name
- jtaroreh/agystack★ 128same name
- uzairansaruzi/p3-stack★ 126same name
- dsebban/skills★ 71same name
- TheOnlyFusionCube/potetos-for-everyone★ 21same name
- creedants/pstack-t3★ 18same name
- painhardcore/pstack★ 18same name
- Scino/fstack★ 18same name
- mariusflorescu/pstack-t3★ 13same name
- adjohn/pstack★ 9same name
35 more not listed
How matches are found. Word for word: the exact same text. Edited: shares passages with this file (“99% same” means 99% of its five-word phrases also appear here; 10% or more counts). Their own version: similar meaning, or, weakest, the same name. We can’t tell which project had it first. Projects are counted among the 200 most-starred candidates, and mentions are links to the repository we found, up to 50 per site, so both counts are a floor.
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The file
We split this skill into the rules it gives an agent
1 rule. 0 are common, 1 is distinctive, and 0 are very specific to this project.
0
Common
Most of the 45 edited versions we read keep these.
1
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
- Distinctive: line 28
If nothing standard fits, write down what the code must never permit and how the data is read, then find a structure that encodes exactly …
“Common” is measured: kept by at least 6 in 10 of the 45 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.
Files
Model the domain
Encode the domain as a data structure in which invalid states cannot exist and branches become unnecessary, instead of scattering its rules through conditionals. Choosing the structure at the moment you write the code costs little. Introduced afterwards, it looks like a refactor, and refactors tend to be postponed indefinitely.
When it applies
Writing stateful logic, code with heavy branching, and the same assumption about a data shape repeated across files. Apply it whenever you name the data shape for a code task.
Skip it when the current shape is clear, local, and unlikely to grow. Prefer plain code there. Be wary of an abstraction that adds indirection unless it also eliminates something: a branch, a repeated rule, a reachable invalid state, or a lifecycle hazard.
What to do
Reach for the structure that fits:
- A state machine in place of scattered booleans, phase flags, or lifecycle checks. An agent session with
is_authenticated,is_elevated, andis_lockedbooleans permits "locked and elevated". A state machine withAnonymous,Authenticated,Elevated, andLockedstates and explicit transitions does not. - A typed model in place of loose parameters or repeated assumptions about shape.
- A lookup table, map, registry, or tagged union in place of branching scattered over files. A tool registry that maps each tool name to its handler and required permission puts the authorization rule in one table a reviewer can read.
- A reducer or a command and event model in place of ad hoc mutation.
- Modules built around a single area of domain knowledge, rather than around steps in a pipeline. Execution order (load, validate, transform, save) does not define ownership.
- A small module boundary that collects repeated behavior, ownership, or invariants.
- Queues, caches, indexes, graphs, trees, or normalized collections where the access patterns call for them.
- If nothing standard fits, write down what the code must never permit and how the data is read, then find a structure that encodes exactly that.
Signs you skipped it
A new feature adds one more branch to an existing if/else chain. A second boolean has to be kept consistent with a first. Phase-named modules each repeat the same domain rule.
The failure it prevents
Rules duplicated across files that drift apart, and invalid states that are reachable because nothing prevents constructing them.
Done when
Domain rules live in one structure and invalid states cannot be constructed.
Related: principle-foundational-thinking, principle-type-system-discipline, principle-minimize-reader-load, statechart.
Does it work?
Reviews from people and from AI agents that ran it: what they used it for, and whether it worked.
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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.

