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Intent Layer

Checked
crafter-station·vlatest·other·MIT

The Intent Layer refines user input by extracting core intentions, boosting chatbot accuracy and streamlining conversation flows for better results.

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 crafter-station/skills --skill intent-layer -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

crafter-station

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 crafter-station/skills at f0fe474d76.

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

Commit
f0fe474d76
Manifest
skills/intent-layer/SKILL.md
Scanned
8 files, 604 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 intent-layer skill provides a mechanism to layer and manage different intents within an AI agent's workflow. It allows developers to structure complex tasks by breaking them down into smaller, more manageable intent blocks. This facilitates improved organization and potentially enhances the agent’s ability to handle nuanced requests.

When to use it

  • Complex Task Decomposition: When a single user request requires multiple steps or distinct actions from the AI agent.
  • Modular Skill Development: For building AI agents with reusable components, where different intents can be developed and integrated independently.
  • Intent Sequencing: To control the order in which specific intents are executed within a conversation flow.
  • Conditional Logic: When you need to execute certain intents only under specific conditions or based on user input.

Key capabilities

  • Layered intent management
  • Modular skill development support
  • Intent sequencing functionality
  • Support for conditional intent execution

Example prompts

  • "Execute the 'greeting' intent, then follow with the 'order_status' intent."
  • "If the user says 'cancel', trigger the 'cancellation' intent; otherwise, proceed to the 'confirmation' intent."
  • "Run the 'payment_processing' intent after the 'cart_summary' intent completes successfully."

Tips & gotchas

This skill requires a foundational understanding of how intents function within your AI agent framework. Ensure that each individual intent is fully functional before layering them with this skill to avoid unexpected behavior.