domain-modeling
Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
- License 许可
- MIT
- 最近更新
- 2026-11-11
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- ★ 1
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- 0
01 前言 Front Matter
- name
- domain-modeling
- license
- MIT
- description
- Build and sharpen a project's domain model. Use when discussing codebase terminology, writing or editing a CONTEXT.md, or recording or editing an ADR.
02 资源文件 7
- 参考文档ADR-FORMAT.md2.7 KB
- 参考文档CONTEXT-FORMAT.md2.2 KB
- 参考文档references/common_tags.md10.0 KB
- 参考文档references/transfer_syntaxes.md9.4 KB
- 脚本scripts/anonymize_dicom.py5.1 KB
- 脚本scripts/dicom_to_image.py6.0 KB
- 脚本scripts/extract_metadata.py5.6 KB
03 SKILL.md 正文
Domain Modeling
Actively build and sharpen the project's domain model as you design. This is the active discipline: challenging terms, inventing edge-case scenarios, and writing the glossary and decisions down the moment they crystallise. (Merely reading CONTEXT.md for vocabulary is not this skill: that's a one-line habit any skill can do. This skill is for when you're changing the model, not just consuming it.)
File structure
Most repos have a single context:
/
├── CONTEXT.md
├── docs/
│ └── adr/
│ ├── 0001-event-sourced-orders.md
│ └── 0002-postgres-for-write-model.md
└── src/
If a CONTEXT-MAP.md exists at the root, the repo has multiple contexts. The map points to where each one lives:
/
├── CONTEXT-MAP.md
├── docs/
│ └── adr/ ← system-wide decisions
├── src/
│ ├── ordering/
│ │ ├── CONTEXT.md
│ │ └── docs/adr/ ← context-specific decisions
│ └── billing/
│ ├── CONTEXT.md
│ └── docs/adr/
Create files lazily: only when you have something to write. If no CONTEXT.md exists, create one when the first term is resolved. If no docs/adr/ exists, create it when the first ADR is needed.
During the session
Challenge against the glossary
When the user uses a term that conflicts with the existing language in CONTEXT.md, call it out immediately. "Your glossary defines 'cancellation' as X, but you seem to mean Y. Which is it?"
Sharpen fuzzy language
When the user uses vague or overloaded terms, propose a precise canonical term. "You're saying 'account': do you mean the Customer or the User? Those are different things."
Discuss concrete scenarios
When domain relationships are being discussed, stress-test them with specific scenarios. Invent scenarios that probe edge cases and force the user to be precise about the boundaries between concepts.
Cross-reference with code
When the user states how something works, check whether the code agrees. If you find a contradiction, surface it: "Your code cancels entire Orders, but you just said partial cancellation is possible. Which is right?"
Update CONTEXT.md inline
When a term is resolved, update CONTEXT.md right there. Don't batch these up: capture them as they happen. Use the format in CONTEXT-FORMAT.md.
CONTEXT.md should be totally devoid of implementation details. Do not treat CONTEXT.md as a spec, a scratch pad, or a repository for implementation decisions. It is a glossary and nothing else.
Offer ADRs sparingly
Only offer to create an ADR when all three are true:
- Hard to reverse: the cost of changing your mind later is meaningful
- Surprising without context: a future reader will wonder "why did they do it this way?"
- The result of a real trade-off: there were genuine alternatives and you picked one for specific reasons
If any of the three is missing, skip the ADR. Use the format in ADR-FORMAT.md.
04 同仓库更多 Skills
teach
Teach the user a new skill or concept, within this workspace.
sync-upstream-skills
Re-transplant owned skills from their mattpocock upstream after a git pull, applying upstream content changes while preserving opencode-native frontmatter. Also checks for duplicate skill names and dangling cross-skill references. Use when the user says "sync skills", "refresh from upstream", "pull matt's skills", "sync upstream", "update the transplanted skills", or wants to bring the owned transplanted skills up to date. Do not use to add or rename a transplanted skill — that stays manual.
repograde
Grade student repositories with optional date filtering in single-repo or bulk mode. Use when the user says "repograde", "grade the repos", "grade this repo since <date>", "bewerte die Abgaben", "korrigiere die Repos", or asks for a repo grading run over a class folder or a single student repository. Do not use for project grading with issues and PRs (use projectgrade) or for knowledge-check exams (use knowledge-assessment).
projectgrade
Grade student project repositories based on Git commits, GitHub Issues, and Pull Requests. Use when the user says "projectgrade", "grade the project", "bewerte das Projekt", "Projektarbeit benoten", or asks for a holistic grading of a collaborative repository from inside it, based on commits, issues, reviews and PRs. Do not use for per-lesson assignments (use repograde) or for knowledge-check exams (use knowledge-assessment).
lehrplan
Richtet österreichische HTL-Unterrichts-Repositorien ein und pflegt sie — drei Kernaufgaben: das gesetzliche Lehrplan-Material eines Ausbildungszweigs (z. B. WII, WIT, KIF) aus dem RIS beschaffen inklusive jährlichem Novellen-Check, den Lehrplan eines konkreten Gegenstands aus dem Gesetz extrahieren (mit Erläuterung pro Lernziel: was der Inhalt tatsächlich IST, plus praktische Anwendungen), und Semesterpläne interaktiv entwerfen. Use when der Nutzer 'Lehrplan', 'Unterrichtsvorbereitung prüfen', 'Lehrplan auf Novellen prüfen', 'RIS sync', 'Gesetzesmaterial holen', 'Lehrplan extrahieren', 'Jahrespläne neu ziehen', 'Erläuterungen ergänzen', 'Semesterplan erstellen/überarbeiten' oder 'Einheiten erstellen' sagt, oder wenn in einem Repo gearbeitet wird, das der lehrplan/-Konvention folgt. Do not use for Prepared Lessons (create-lesson), Aufgaben im Kohortenordner (homework) oder Wissensüberprüfungen (knowledge-exam).
knowledge-persistence
Persist session context into the structured docs/ai knowledge files (OKF bundle; committed and pushed at the end). Use when the user says "remember", "merk dir das", "save context", "persist knowledge" or "update knowledge file", at a session checkpoint, or when an observation in this session contradicts docs/ai/ or AGENTS.md. Do not use for reading the knowledge files at session start — that is plain bootstrapping.