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Anthropic Architect

Checked
jamesrochabrun·vlatest·ai-ml·MIT

Designs complex, structured outputs like outlines, tables, or code based on nuanced prompts and desired formats.

Install on your platform

Showing Claude Code. One command installs this skill into any of the agents below.

  1. 1

    Run this in your project

    terminal
    $ npx skills add jamesrochabrun/skills --skill anthropic-architect -a claude-code
  2. Uses the open-source skills CLI and needs Node.js. Add -g to install it for your user instead of this project.

What we know about this skill

Publisher

jamesrochabrun

Taken from the source listing. We haven't verified who controls this account.

Install target

Live repository

Not pinned. Installing fetches whatever the repository holds at the time you run the command.

No human has reviewed this code. The checks below are a static scan of the files at one commit — nobody has run this skill or judged whether it works. A skill runs with whatever access you give your agent, so read the source before you install it.

Automated safety checks

scanned

This skill passed all 6 checks. We read its files at one commit and looked for the things that make a skill dangerous to run — not for whether it works.

  • Declares what it does: passed

    SKILL.md parses and declares a name and a description.

    SKILL.md exists, its frontmatter parses, and it declares a name and a description.

  • No undeclared network calls: passed

    Makes no network calls.

    Every host the skill dials — from its scripts, its config endpoints or the commands it tells the agent to run — is either well-known package and API infrastructure or declared in its own frontmatter. Links in documentation are not counted.

  • No obfuscated payloads: passed

    No encoded or obfuscated payloads.

    No base64, hex or compressed blob is decoded and then executed, and no encoded shell commands.

  • No credential access: passed

    Reads no keys, tokens, keychains or credential files.

    Neither the code nor the SKILL.md instructions read SSH keys, cloud credentials, keychains, token stores, browser cookie databases or dotfiles that hold secrets.

  • No pipe-to-shell installers: passed

    No pipe-to-shell or download-and-run installers.

    No `curl … | sh` pattern, in the code or in the instructions, that runs code fetched at run time.

  • Pinned to a commit: passed

    Scanned jamesrochabrun/skills at 2482c17637.

    The exact upstream commit SHA that was scanned is recorded, so the result refers to specific bytes.

Scanned
5 files, 4,026 lines
This is a static scan, not a review. It reads the skill's files; it does not run them, and it cannot tell you whether the skill is any good or whether the code does what its description says. A skill runs with whatever access you give your agent.
What each check looks for →

About this skill

What it does

The Anthropic Architect skill provides expert guidance for designing effective architectures within Anthropic-based projects. It analyzes project requirements, recommends optimal architectures using Skills, Agents, Subagents, Prompts, and SDK primitives, and applies decision rubrics based on best practices and security considerations. This helps ensure efficient context usage, secure operations, and maintainable, scalable systems.

When to use it

  • When you need help determining the best architecture for a project involving Anthropic models.
  • For projects requiring specialized domain knowledge or complex, multi-step workflows that could benefit from Skills.
  • To design architectures where isolated context and different tool permissions are needed for autonomous tasks using Agents/Subagents.

Key capabilities

  • Requirement Analysis: Understands project complexity, scope, and constraints.
  • Architecture Recommendation: Suggests appropriate combinations of Skills, Agents, Subagents, Prompts, and SDK primitives.
  • Decision Reasoning: Explains the rationale behind architectural choices.
  • Best Practices Guidance: Follows Anthropic patterns and principles for 2025.
  • Progressive Disclosure Design: Optimizes context management.
  • Security Considerations: Addresses safe and controllable AI system design.

Example prompts

  • "Analyze my project: [describe your project]. What is the best architecture?"
  • "Using the anthropic-architect skill, help me determine the best architecture for a code review guideline Skill."
  • “I need an agent to handle complex data extraction tasks with specific tool permissions. Recommend an architecture.”

Tips & gotchas

  • Clearly list your project's key requirements, complexity level, reusability needs, and security constraints for optimal recommendations.
  • The skill focuses on architectural design within the Anthropic ecosystem; it doesn’t address general development tasks.
  • Understand the differences between Skills (prompt-based meta-tools), Agents/Subagents (autonomous task handlers) to leverage the skill effectively.