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Sasatech Next Architecture

Checked
sasatech-labs·vlatest·backend·MIT

Predicts future architectural needs and recommends optimal technology choices based on evolving business requirements.

Repository

Install on your platform

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

Installs under a different name. Its SKILL.md names it Feature-Based-Layered-Architecture, not the name it is listed under, so the command below uses that name.
  1. 1

    Run this in your project

    terminal
    $ npx skills add sasatech-labs/skills --skill Feature-Based-Layered-Architecture -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

sasatech-labs

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

    Only contacts known or declared hosts: 127.0.0.1.

    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.

    Hosts contacted

    127.0.0.1local

  • 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 sasatech-labs/skills at be8e1cbab2.

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

Commit
be8e1cbab2
Manifest
skills/feature-based-layered-architecture/SKILL.md
Scanned
60 files, 15,200 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 sasatech-next-architecture skill provides AI agents with the ability to understand and reason about Next.js application architecture. It allows for analysis of component relationships, data flow, and potential performance bottlenecks within a Next.js project. This skill can be used to generate documentation, identify refactoring opportunities, or debug complex issues.

When to use it

  • Codebase onboarding: Quickly understand the structure and key components of a new Next.js project.
  • Performance optimization: Identify potential bottlenecks in data fetching or rendering processes.
  • Documentation generation: Automatically generate documentation outlining component dependencies and data flow.
  • Refactoring analysis: Evaluate the impact of proposed changes to the application architecture.

Key capabilities

  • Next.js application structure understanding
  • Component relationship analysis
  • Data flow tracing
  • Performance bottleneck identification

Example prompts

  • "Describe the component tree for this Next.js project."
  • "What data is fetched in the pages/index.js file?"
  • "Identify potential performance bottlenecks in this application's rendering pipeline."

Tips & gotchas

This skill requires access to the source code of a Next.js application. The accuracy of its analysis depends on the clarity and organization of the codebase.