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Skill Development

Official
anthropics·vlatest·agents

This skill helps refine an AI’s abilities by iteratively improving its responses based on feedback – boosting performance and accuracy.

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 Skill Development, 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 anthropics/claude-code --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-code at 3deb873687.

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

Commit
3deb873687
Manifest
plugins/plugin-dev/skills/skill-development/SKILL.md
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 skill-development skill enables AI agents to identify, evaluate, and implement new skills effectively. It provides tools for analyzing skill requirements, assessing compatibility with existing systems, and guiding the integration process.

When to use it

  • When onboarding a new AI agent and determining which skills are necessary for its role.
  • When upgrading an agent’s capabilities by adding or refining specific functions.
  • When troubleshooting performance issues that may be related to missing or outdated skills.

Key capabilities

  • Skill discovery and recommendation based on agent needs
  • Compatibility checks between skills and existing systems
  • Step-by-step integration guidance for new skills

Example prompts

  • "What skills would help my AI agent improve customer support?"
  • "Can you check if the 'data-analysis' skill is compatible with my current setup?"
  • "Walk me through installing the 'natural-language-processing' skill."

Tips & gotchas

  • Ensure your AI agent has sufficient system resources before adding new skills.
  • Review compatibility reports carefully to avoid conflicts with existing functions.