principle-model-the-domain
Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.
Skill by Go7hic
Install
Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.
npx agentmarket install skill/go7hic-principle-model-the-domain
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About
Use cases: writing
Reviews
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What's inside
- Skill name
principle-model-the-domain- Description
- Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files. Encode the domain in a structure instead of scattered conditionals.
- License
- MIT
- Compatibility
- Works with Agent Skills-compatible coding agents. Multi-agent optional; see pstack adapters.
- Instructions
- 31 lines in SKILL.md · view on GitHub
Files (2)
- SKILL.md
- runtime.md · references/
SKILL.md (first lines)
# Model the Domain ## Portability (required) This skill is part of the portable **pstack** pack. 1. Read the `pstack` capability contract and the adapter for the active coding agent before any helper delegation. 2. Prefer capability verbs (`explore`, `implement`, `review`, `parallel`, `ask_user`, `verify`, `model_role`) over vendor tool names. 3. Resolve models through `model_role`. Never require a vendor-specific model identifier. 4. When helper spawning is unavailable, run the work on the lead agent and state that fan-out was collapsed. Encode the real domain in a data structure instead of scattering it across conditionals. **Why:** Scattered booleans, repeated shape assumptions, and branching spread across files are accidental complexity. A structure that matches the domain makes invalid states unrepresentable and deletes branches. Choosing it at write time is cheap; recovering it later reads as a refactor and gets deferred. **Reach for structures like these:** - A state machine instead of scattered booleans, phases, or lifecycle checks. - A typed object/model instead of loose parameters or repeated shape assumptions. - A map, registry, lookup table, or discriminated union instead of branching spread across files. - A reducer or command/event model instead of ad hoc state mutations. - A module organized around one body of domain knowledge instead of a sequence such as load, validate, transform, and save. Execution order is not ownership. - A small module boundary that gathers repeated behavior, ownership, or invariants. - A queue, cache, index, graph/tree, or normalized collection where the data access pattern calls for it. - Any other structure that fits. The list above covers the common cases only. When none fits, work out what the code must never allow and how the data gets read, then find the structure that encodes exactly that. Do not force an abstraction. Prefer boring code if the current shape is already clear, local, and unlikely to grow. Be skeptical of an abstraction that adds indirection without removing branches, duplicated rules, invalid states, or lifecycle risk. The tell that you skipped this is a new feature that grows an existing if/else chain by one more branch, or a second boolean that must stay in sync with the first. Temporal decomposition is another tell. Phase-named modules repeat the same domain rules across steps.
From Go7hic/ystack, MIT.
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Signals
- Stars
- 16
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Aug 8, 2026 (2 months ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- MIT
- Repository
- github.com/Go7hic/ystack
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
Same skill elsewhere
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Apply when writing stateful logic, or when code branches a lot or repeats a shape assumption across files.
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Cite this page
principle-model-the-domain skill. Agent Mart. https://agentmart.dev/skills/go7hic-principle-model-the-domain (last updated 2026-10-24)