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cccskills
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domain-modeling

Clarify a project's domain terms by resolving conflicts, testing concepts against concrete edge cases, and checking stated behavior against code. Record agreed terminology and decisions in the project's CONTEXT.md glossary as the model changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

원문원문 설명 보기

Build and sharpen a project's domain model. Use when the user wants to pin down domain terminology or a ubiquitous language, or when another skill needs to maintain the domain model.

windmill-labs/windmill스타 18,287(GitHub 18,287 + cccskills 0)

실행 점수 미검증

설치 방법 보기

이럴 때 유용합니다

  • Agree on a precise meaning for an overloaded term
  • Resolve conflicts with an existing project glossary
  • Test domain boundaries with concrete edge cases
  • Update CONTEXT.md as terminology is decided

포함된 파일(2)

  • SKILL.md2.5 KB
  • CONTEXT-FORMAT.md2.2 KB

SKILL.md(원문)

설치하기 전에 에이전트에게 전달되는 지시 내용을 확인할 수 있습니다.

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
└── 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
└── src/
    ├── ordering/
    │   └── CONTEXT.md
    └── billing/
        └── CONTEXT.md

Create files lazily — only when you have something to write. If no CONTEXT.md exists, create one when the first term is resolved.

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 .agents/skills/domain-modeling/CONTEXT-FORMAT.md (path from the repo root).

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.

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같은 저장소의 스킬

Plan the code changes needed to add a TriggerCrud-based trigger to Windmill. The checklist covers backend, database, API, CLI, frontend, capture, and validation work so the new trigger can be managed across the product.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Add a Kafka, GCP, or Azure style trigger to Windmill
  • Find all product areas affected by a new trigger kind
  • Review implementation and validation steps before a trigger PR
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

ai-chat

무료

Improve Windmill’s AI chat by reviewing its tools, prompts, result shapes, and context usage. The guidance helps place shared instructions where chat and CLI can use them, reduce repeated token costs, and compare behavior before and after changes with A/B evaluations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Edit Windmill chat tools or system prompts
  • Reduce chat context window usage
  • Benchmark a chat behavior change
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

ai-evals

무료

Create and run black-box benchmarks for Windmill AI generation modes such as flows, apps, scripts, CLI, and global requests. Each case exercises the production path, checks hard requirements, and uses an LLM judge to assess user-facing behavior before and after changes.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Adding a benchmark case for an AI mode
  • Comparing AI chat behavior before and after a change
  • Checking copilot changes with realistic requests
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

Use this reference to work with Windmill resources from the command line, including scripts, flows, datatables, and workspace settings. It also covers listing jobs, inspecting details and logs, retrieving results, and rerunning or restarting executions when investigating failures.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Inspecting a failed job and its logs
  • Reviewing recent runs and retrieving job results
  • Managing scripts and flows from the command line
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

Use this skill to shape modules with small interfaces and substantial behavior behind them. It helps you decide where a seam belongs, reduce complexity exposed to callers, and make code easier to test and maintain.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Designing a module interface
  • Finding places to simplify a module
  • Choosing where behavior should vary
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

commit

무료

Use this skill to review pending changes, select only the relevant files for staging, and create a focused Git commit. It formats the single-line message with a Conventional Commits type such as feat, fix, or docs, and checks the resulting status.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

  • Committing a new feature
  • Recording a bug fix
  • Committing documentation changes
windmill-labs/windmill1.8만2026년 10월 26일 업데이트

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