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Currying Inference

Checked
marius-townhouse·vlatest·ai-ml

Currying Inference streamlines complex queries by breaking them down into smaller, manageable steps for efficient processing and faster 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 marius-townhouse/effective-typescript-skills --skill currying-inference -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

marius-townhouse

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 marius-townhouse/effective-typescript-skills at d754db2077.

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

Commit
d754db2077
Manifest
skills/currying-inference/SKILL.md
Scanned
1 file, 274 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 enables AI agents to apply curried inference, a technique for generating code and reasoning about TypeScript functions. It allows the agent to break down complex function applications into smaller, more manageable steps, improving accuracy and understanding of code logic. This is particularly useful when dealing with higher-order functions or functions with multiple parameters.

When to use it

  • Debugging complex TypeScript code: The skill can help analyze why a particular function isn't behaving as expected by breaking down its application.
  • Generating specialized functions: Create new functions based on existing ones by partially applying arguments and focusing on specific behaviors.
  • Understanding higher-order functions: Simplify the process of working with functions that take other functions as arguments or return them.
  • Code refactoring: Identify opportunities to improve code clarity and reusability through currying techniques.

Key capabilities

  • Curried function application
  • Type inference within curried functions
  • Generation of specialized functions from existing ones
  • Reasoning about function behavior with partial applications

Example prompts

  • "Explain how the map function works when partially applied to an array."
  • "Generate a new function that adds 5 to every element of an array using currying."
  • “Can you show me how to curry this function: (a, b) => a + b?”

Tips & gotchas

This skill requires a foundational understanding of TypeScript and functional programming concepts. The agent's effectiveness will improve with clear prompts that specify the desired behavior or transformation.