Skip to content
TrustedSkillsbeta
Back to all skills

Rag Architect

Checked
jeffallan·vlatest·ai-ml·MIT

Rag Architect constructs well-structured documents from retrieved knowledge, streamlining information synthesis and boosting research efficiency.

Repository

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 jeffallan/claude-skills --skill rag-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

jeffallan

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 jeffallan/claude-skills at 1be15d8064.

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

Commit
1be15d8064
Manifest
skills/rag-architect/SKILL.md
Scanned
6 files, 3,699 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

This skill, rag-architect, likely assists in designing and implementing Retrieval Augmented Generation (RAG) systems. It can help structure knowledge bases, optimize retrieval strategies, and integrate external data sources into AI workflows. The specific capabilities are not detailed in the provided source content.

When to use it

  • You need to build a system that answers questions using information from your own documents or databases.
  • Your AI agent requires access to up-to-date information that isn't present in its training data.
  • You want to improve the accuracy and relevance of responses generated by an AI model.
  • You are struggling to design a RAG pipeline with appropriate components.

Key capabilities

  • (Undetailed - based on skill name) Likely includes features for knowledge base structuring.
  • (Undetailed - based on skill name) Probably supports optimization of retrieval strategies.
  • (Undetailed - based on skill name) May assist in integrating external data sources.

Example prompts

  • "Design a RAG pipeline to answer questions about our company's internal documentation."
  • "Suggest improvements to my existing RAG system for better accuracy."
  • "Help me structure this collection of PDFs into a knowledge base suitable for RAG."

Tips & gotchas

The effectiveness of this skill depends on the quality and organization of your data sources. A well-structured knowledge base is crucial for optimal performance.