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Skill Development

Official
anthropics·vlatest·agents·Apache-2.0

This skill helps refine an AI’s capabilities by iteratively improving its performance through targeted training and feedback – boosting accuracy & effectiveness.

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 anthropics/claude-plugins-official --skill skill-development -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

anthropics

Matched to the vendor's own GitHub organisation.

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 anthropics/claude-plugins-official at 921c90ff92.

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

Scanned
2 files, 788 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 anthropics-skill-development skill enables AI agents to engage in advanced skill development processes, including learning new abilities, refining existing ones, and adapting to complex tasks through iterative training and feedback loops. It supports the creation of custom skills tailored for specific use cases or environments.

When to use it

  • When an AI agent needs to learn a specialized task like coding, data analysis, or creative writing.
  • During development phases where agents must adapt their behavior based on user input or performance metrics.
  • In scenarios requiring continuous learning and improvement over time, such as customer service or educational applications.

Key capabilities

  • Iterative skill refinement through feedback loops
  • Custom skill creation for specific tasks or domains
  • Integration with training data to improve accuracy and relevance

Example prompts

  • "Teach me how to write Python scripts for data analysis."
  • "Refine my ability to answer customer service inquiries based on previous interactions."
  • "Create a new skill that helps me generate creative writing prompts."

Tips & gotchas

  • Ensure you provide clear, structured feedback during training sessions for optimal results.
  • Skill development may require access to relevant datasets or tools, so verify these are available before starting.