Chalk Labs
Need help deploying domain-modeling?
Chalk Labs sets up agents like this inside real teams: connected to your tools, tested on your data, with a human in the loop where it matters.
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/iheidari-domain-modeling
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: writing
Reviews
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What's inside
- Skill name
domain-modeling- 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.
- License
- unknown
- Instructions
- 71 lines in SKILL.md · view on GitHub
Files (4)
- ADR-FORMAT.md
- CONTEXT-FORMAT.md
- SKILL.md
- openai.yaml · agents/
The license isn't open source, so the instructions aren't shown here. Read SKILL.md on GitHub
More from iheidari/my-skills
- 0.556score
create-pr
iheidari
Review the branch, simplify it, run the repo's checks, then commit, push, open a pull request, and move the Linear ticket to In Review.
SkillAFreshness: AClaude Code +9 - 0.556score
autopilot
iheidari
Unattended end-to-end run on a Linear ticket — implement it, open a PR, review the PR, and post the review as a PR comment.
SkillAFreshness: AClaude Code +9 - 0.536score
architect
iheidari
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
SkillAFreshness: AClaude Code +9 - 0.534score
code-review-matt
iheidari
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: AClaude Code +9 - 0.531score
arena
iheidari
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
SkillAFreshness: AClaude Code +9 - 0.499score
app-store-review-check
iheidari
Acts as an Apple App Store reviewer — audits an iOS/iPadOS/macOS/tvOS/watchOS app against the App Store Review Guidelines and returns a pass/fail report with…
SkillBFreshness: BClaude Code +9 - 0.494score
codebase-design
iheidari
Shared vocabulary for designing deep modules.
SkillBFreshness: BClaude Code +9
Signals
- Stars
- 0
- Forks
- 0
- Open issues
- 0
- Last commit (this folder)
- Sep 26, 2026 (1 month ago)
From GitHub (fetched Oct 24, 2026).
Details
- License
- License unknown
- Repository
- github.com/iheidari/my-skills
- First seen
- Oct 24, 2026
- Last checked
- Oct 24, 2026
- Source
- GitHubgithub-graphql
More from iheidari
- 0.556score
create-pr
iheidari
Review the branch, simplify it, run the repo's checks, then commit, push, open a pull request, and move the Linear ticket to In Review.
SkillAFreshness: AClaude Code +9 - 0.556score
autopilot
iheidari
Unattended end-to-end run on a Linear ticket — implement it, open a PR, review the PR, and post the review as a PR comment.
SkillAFreshness: AClaude Code +9 - 0.536score
architect
iheidari
Sketch types, signatures, and module structure before code, then stay in the loop while implementation fills in.
SkillAFreshness: AClaude Code +9 - 0.534score
code-review-matt
iheidari
Review the changes since a fixed point (commit, branch, tag, or merge-base) along two axes: Standards (does the code follow this repo's documented coding…
SkillAFreshness: AClaude Code +9 - 0.531score
arena
iheidari
Spawn N parallel candidates at the same task, pick a base, graft the strongest parts of the losers into it.
SkillAFreshness: AClaude Code +9 - 0.499score
app-store-review-check
iheidari
Acts as an Apple App Store reviewer — audits an iOS/iPadOS/macOS/tvOS/watchOS app against the App Store Review Guidelines and returns a pass/fail report with…
SkillBFreshness: BClaude Code +9
Done for you
Rather not set it up yourself?
Chalk Labs scopes, builds and runs agents for your team: the task audit, the eval harness, the integrations and the weekly ops report. Fixed scope, priced before we start.
See how we build AI agents →Read the case studies
Chalk Labs is a two-founder AI and growth studio. We build AI agents, CRMs and MVPs for Web3 and AI companies, and have shipped 50+ product and token launches.
- launches shipped
- 50+
- launches shipped
- media placements
- 500+
- media placements
- founders on every account
- 2
- founders on every account
Press we've placed: Forbes · CoinDesk · Decrypt · Cointelegraph · The Block
Rahil Jain, Co-founder, Chalk Labs. Ex-Goldman Sachs engineer. You talk to the person who builds it.
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Cite this page
domain-modeling skill. Agent Mart. https://agentmart.dev/skills/iheidari-domain-modeling (last updated 2026-10-24)