Skip to content
Agentmart
Submit a tool

codex-architect

Codex architecture consulting.

Skill by sd0xdev

IndexedMIT★ 194
Write a review

Chalk Labs

Need help deploying codex-architect?

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.

Book a call

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/sd0xdev-codex-architect

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.

Get the weekly diff

The weekly diff: one email a week with new agent tools, notable updates and grade changes, plus security alerts for tools you follow. Double opt-in, one-click unsubscribe.

We use your email only for this newsletter. Privacy

About

Codex architecture consulting. Use when: designing features, evaluating architecture, getting second opinion on design. Not for: implementation (use codex-implement), code review (use codex-code-review). Output: architecture advice + design recommendations.

Use cases: design, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

Tools
No tools found
Secrets
None asked for
Install scripts
None found

Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/codex-architect

Tools it pre-approves 6

From allowed-tools in SKILL.md: the agent may use these without asking you each time.

  • Read,
  • Grep,
  • Glob,
  • Agent,
  • Bash(node:*),
  • Write

What's inside

Skill name
codex-architect
Description
Codex architecture consulting. Use when: designing features, evaluating architecture, getting second opinion on design. Not for: implementation (use codex-implement), code review (use codex-code-review). Output: architecture advice + design recommendations.
License
MIT
Allowed tools
Read,, Grep,, Glob,, Agent,, Bash(node:*),, Write
Instructions
106 lines in SKILL.md · view on GitHub

Before installing

  • Pre-approves some shell commands

Files (2)

  • SKILL.md
  • project-knowledge.md · references/

SKILL.md (first lines)

# Codex Architect Skill (Third Brain)

## Trigger

- Keywords: architecture design, solution evaluation, tech selection, third brain, Codex advice, design consulting, ask Codex, second opinion

## When NOT to Use

- Code implementation (use /codex-implement)
- Code review (use /codex-review)
- Deep discussion/exhaustive exploration (use /codex-brainstorm)

## Usage

```bash
/codex-architect "<question>"
/codex-architect "Evaluate this design" --context src/xxx.ts --mode review
/codex-architect "Redis vs MongoDB?" --mode compare
```

## Modes

| Mode    | Purpose                 | When                       |
| ------- | ----------------------- | -------------------------- |
| design  | Provide design advice   | Starting from scratch (default) |
| review  | Evaluate existing design | Validate solution, find issues |
| compare | Compare multiple options | Tech selection             |

## Core Principle

```
User -> Claude -> Codex -> Integrate
          |         |         |
    Initial thinking  Third perspective  Combined advice
```

## Codex Prompt Template

When dispatching per `@skills/codex-code-review/references/codex-transport.md` § Start, the prompt must include the following:

You are a senior architect. Please provide architecture advice for the following question.

## Question

${QUESTION}

## Mode

${MODE} (design/review/compare)

## IMPORTANT: You must independently research the project

Before providing architecture advice, you **must** perform the following research:

### Research Steps

1. Understand the project structure by discovering it: `ls` at the repository root, then list the directories it actually shows — do not assume a `src/` or `test/unit/` layout; many repositories, this one included, have neither
2. Search related modules: `grep -rn "keyword" . -l | head -10` — rooted at the repository, or at a directory the discovery step above actually surfaced; never at an assumed `src/`
3. Read existing implementations: `cat <relevant files> | head -150`
4. Understand existing architecture patterns and conventions

### Verification Focus

- What does the existing architecture look like?
- What are the existing code style and patterns?
- What similar features can be referenced?

## Output Requirements

1. First describe which files you researched
2. Provide advice based on current project state
3. Consider consistency with existing architecture

...(other review dimensions)


## Workflow Integration

```
/codex-architect -> /tech-spec -> /review-spec -> /codex-implement -> /codex-review-fast
    Design           Plan          Review          Implement          Code Review
```

## Verification

- Report includes Codex advice + Claude perspective
- Consensus and divergence points clearly marked
- Final recommendation integrates both perspectives

## References

- `references/project-knowledge.md` - Project architecture knowledge + report template

## Examples

```
Input: /codex-architect "How to design a high-concurrency cache?"
Action: Codex analysis -> Claude supplement -> Integrated output
```

```
Input: /codex-architect "Any issues with this API design?" --mode review
Action: Codex evaluation -> Claude verification -> Output issues + recommendations
```

From sd0xdev/sd0x-harness, MIT.

Signals

Stars
194
Forks
26
Open issues
5
Last commit (this folder)
Sep 5, 2026 (1 month ago)
Last release
Oct 6, 2026 (26 days ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

More from sd0xdev

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.

Get codex-architect running in your business

Tell us what you want to automate. A founder replies within one working day with a plan, not a pitch deck.

Goes to the Chalk Labs founders, not the newsletter. Privacy

Need help deploying codex-architect?

CallGet help
Cite this page

codex-architect skill. Agent Mart. https://agentmart.dev/skills/sd0xdev-codex-architect (last updated 2026-10-24)