Skip to content
TrustedSkillsbeta
Back to all skills

Agent Development

Official
anthropics·vlatest·agents·Apache-2.0

Develop custom AI agents tailored to specific tasks and workflows using Anthropics' intuitive development platform.

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 anthropics/claude-plugins-official --skill agent-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.

Commit
921c90ff92
Manifest
plugins/plugin-dev/skills/agent-development/SKILL.md
Scanned
7 files, 1,897 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-agent-development skill enables developers to build, train, and deploy AI agents using tools and frameworks provided by Anthropic. It supports integration with Claude models for advanced reasoning, dialogue management, and task automation.

When to use it

  • Developing conversational AI assistants that require complex decision-making capabilities.
  • Automating workflows in customer service or internal operations through agent-based systems.
  • Creating custom AI agents for research or enterprise applications requiring natural language understanding.

Key capabilities

  • Integration with Claude models for enhanced reasoning and dialogue generation.
  • Tools for training and fine-tuning AI agents on specific tasks or domains.
  • Support for deploying AI agents in production environments.

Example prompts

  • "Build an AI agent that can handle customer support queries using Claude."
  • "Train a custom AI agent to automate data analysis workflows."
  • "Deploy an agent-based system for real-time chatbot interactions."

Tips & gotchas

  • Ensure you have access to Anthropic's API and necessary permissions before deploying agents.
  • Training may require significant computational resources, so plan accordingly for model scaling and optimization.