Domain Modeling
fossasia/eventyay-interpretation
Build and sharpen a project's domain model. An agent skill from fossasia/eventyay-interpretation.
Clarify domain concepts, language, boundaries, and durable architectural decisions.
Install Domain Modeling
$ npx skills add stevesolun/ctx --skill domain-modeling -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install stevesolun/ctx domain-modeling --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .claude/skills && cp -r skills-src/.agents/skills/domain-modeling .claude/skills/domain-modeling && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "domain-modeling" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modeling into .claude/skills/domain-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "domain-modeling", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modelingType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add stevesolun/ctx --skill domain-modeling -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install stevesolun/ctx domain-modeling --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .agents/skills && cp -r skills-src/.agents/skills/domain-modeling .agents/skills/domain-modeling && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "domain-modeling" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modeling into .agents/skills/domain-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "domain-modeling", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add stevesolun/ctx --skill domain-modeling -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install stevesolun/ctx domain-modeling --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/.agents/skills/domain-modeling .cursor/skills/domain-modeling && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "domain-modeling" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modeling into .cursor/skills/domain-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "domain-modeling", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/stevesolun/ctx.git --path .agents/skills/domain-modeling--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add stevesolun/ctx --skill domain-modeling -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install stevesolun/ctx domain-modeling --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/.agents/skills/domain-modeling .gemini/skills/domain-modeling && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "domain-modeling" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modeling into .gemini/skills/domain-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "domain-modeling", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install stevesolun/ctx domain-modelingInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add stevesolun/ctx --skill domain-modeling -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .github/skills && cp -r skills-src/.agents/skills/domain-modeling .github/skills/domain-modeling && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "domain-modeling" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modeling into .github/skills/domain-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "domain-modeling", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add stevesolun/ctx --skill domain-modeling -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install stevesolun/ctx domain-modeling --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/stevesolun/ctx.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/.agents/skills/domain-modeling .opencode/skills/domain-modeling && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "domain-modeling" agent skill from https://github.com/stevesolun/ctx/tree/main/.agents/skills/domain-modeling into .opencode/skills/domain-modeling/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "domain-modeling", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
domain-modeling- GitHub stars
- 588
- Token cost
- ~429 tokens
- SKILL.md length
- 203 words
- Files
- 4
- Skills in repo
- 26
- Repo updated
- First seen
- Licence
- MIT
At a glance
Clarify domain concepts, language, boundaries, and durable architectural decisions.
- Terminology is ambiguous
- SKILL.md covers Sharpen the model and Record durable knowledge…
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- The user is shaping a domain model
What it does
Domain Modeling is an agent skill from stevesolun/ctx. Clarify domain concepts, language, boundaries, and durable architectural decisions. Use when terminology is ambiguous, the user is shaping a domain model, or a design depends on resolving what concepts mean.
Its SKILL.md is about 430 tokens, which your agent loads only when the skill is triggered. The skill folder holds 4 other files (for example `ADR-FORMAT.md`, `CONTEXT-FORMAT.md` and `agents/openai.yaml`).
It sits in Development, covering Domain-driven design. The repository describes itself as: CTX Fit finds the cheapest AI coding setup that reliably works on your repository, then applies the winner as a reviewable change. The licence is MIT.
When your agent uses it
- Terminology is ambiguous
- The user is shaping a domain model
- A design depends on resolving what concepts mean
Example prompts
- “/domain-modeling”
What it can do on your machine
Read from SKILL.md and the folder at commit 11b582a. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Domain Modeling loads about 429 tokens when it runs. Until then it costs about 56 tokens; SKILL.md has 203 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from stevesolun/ctx at commit 11b582a, republished under its MIT licence (© stevesolun). 203 words, ~429 tokens.
Download SKILL.mdSave it as
.claude/skills/domain-modeling/SKILL.md (or your agent's skills folder). This skill also uses 3 other files; get the full folder from GitHub.- name
- domain-modeling
- description
- Clarify domain concepts, language, boundaries, and durable architectural decisions. Use when terminology is ambiguous, the user is shaping a domain model, or a design depends on resolving what concepts mean.
Model the domain
Build a precise shared understanding of the concepts that matter to the current decision. Read existing glossaries, context maps, ADRs, code, and tests when they provide relevant evidence.
Sharpen the model
- Identify overloaded terms, hidden distinctions, and conflicting definitions.
- Use concrete scenarios and edge cases to test whether concepts and boundaries hold.
- Compare the stated model with behavior in the code and surface material contradictions.
- Propose clear language when ambiguity is blocking progress, while respecting established repository terminology that remains accurate.
Ask the user to resolve a term only when their intent cannot be inferred safely and the distinction affects the outcome.
Record durable knowledge proportionally
Update a glossary or context map when the user requests it or when a resolved term is durable, project-specific, and useful beyond the current conversation. Follow an existing repository format first; otherwise use the context format as a lightweight starting point.
Record an ADR only when a decision is costly to reverse, surprising without its context, and based on a meaningful tradeoff. Follow existing ADR conventions or use the ADR format. Do not create artifacts merely to complete the workflow.
Keep domain definitions separate from implementation plans. Report unresolved ambiguity and artifact changes explicitly.
© stevesolun, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 3 other files in .agents/skills/domain-modeling of stevesolun/ctx.
- SKILL.md
- ADR-FORMAT.md
- CONTEXT-FORMAT.md
- agents/openai.yaml
Open the folder on GitHubat commit 11b582a
Compare with similar skills
Domain Modeling next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Domain Modeling this skillstevesolun/ctx | 588 | — | ~429 | Automated safety check: Pass | MIT | |
| Domain Modelingfossasia/eventyay-interpretation | 1.6k | 31 repos | ~821 | Automated safety check: Pass | Apache-2.0 | |
| Architecture Governancezai-org/ZCode | 7.6k | — | ~1.2k | Automated safety check: Pass | Apache-2.0 | |
| Evolutionary Modular Architecturetech-leads-club/agent-skills | 7k | — | ~3.7k | Automated safety check: Pass | CC-BY-4.0 | |
| Domain Modelingbrim-borium/spotify_sdk | 166 | 5 repos | ~806 | Automated safety check: Pass | Apache-2.0 | |
| Domain Modeling and Glossarywindmill-labs/windmill | 18k | — | ~622 | Automated safety check: Pass | Custom licence |
Similar skills
Architecture Governance
zai-org/ZCode
Apply the repository's architecture policy to code changes by generating a bounded context package, checking module and layer boundaries, and reporting baseline-aware violations.
Evolutionary Modular Architecture
tech-leads-club/agent-skills
Guides design of modular-monolith platforms with DDD, flat-by-aggregate modules, anti-corruption layers, outbox events and resilience, plus an architecture document with SVG diagrams.
Domain Modeling
brim-borium/spotify_sdk
Build and sharpen a project's domain model. An agent skill from brim-borium/spotify_sdk.
Domain Modeling and Glossary
windmill-labs/windmill
Actively challenges vague or conflicting terminology as you design, and keeps a living domain glossary file up to date in real time.
Ddd
swamp-club/swamp
Domain Driven Design guidance for TypeScript/Deno codebases.
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Validate committed feature-branch changes through the no-mistakes pipeline: intent, rebase, review, test, docs, lint, push, PR, and CI.
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Related
Categories
Questions about Domain Modeling
What does Domain Modeling do?
Clarify domain concepts, language, boundaries, and durable architectural decisions. Domain Modeling is an agent skill from stevesolun/ctx. Clarify domain concepts, language, boundaries, and durable architectural decisions.
When should I use Domain Modeling?
Domain Modeling fits situations like: terminology is ambiguous; the user is shaping a domain model; A design depends on resolving what concepts mean.
How do I install Domain Modeling in Claude Code?
Run `npx skills add stevesolun/ctx --skill domain-modeling -a claude-code`. Or copy the skill folder (.agents/skills/domain-modeling in stevesolun/ctx) into .claude/skills/domain-modeling in your project. Claude Code loads it when a task matches its description.
How do I install Domain Modeling in Codex?
Run `npx skills add stevesolun/ctx --skill domain-modeling -a codex`. Or copy the skill folder (.agents/skills/domain-modeling in stevesolun/ctx) into .agents/skills/domain-modeling in your project. Codex loads it when a task matches its description.
Can I use Domain Modeling in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add stevesolun/ctx --skill domain-modeling -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/domain-modeling, .gemini/skills/domain-modeling, .github/skills/domain-modeling and .opencode/skills/domain-modeling in your project.
What does Domain Modeling need to run?
SKILL.md names no scripts, command-line tools or credentials: Domain Modeling is instructions for the agent only.
Does Domain Modeling access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Domain Modeling safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Domain Modeling use?
Domain Modeling is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Domain Modeling use?
About 429 tokens (SKILL.md is roughly 1.7k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Domain Modeling?
Skills that share tags, products or a category with Domain Modeling: Domain Modeling (fossasia/eventyay-interpretation, 1.6k stars), Architecture Governance (zai-org/ZCode, 7.6k stars), Evolutionary Modular Architecture (tech-leads-club/agent-skills, 7k stars) and Domain Modeling (brim-borium/spotify_sdk, 166 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Domain Modeling?
stevesolun (a GitHub user) maintains it in stevesolun/ctx, which has 588 GitHub stars. The repository holds 26 skills in this directory. The repository was last updated on October 4, 2026.
Source: stevesolun/ctx on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.