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Generate Agent Instructions

Checked
sebkay·vlatest·agents

Craft detailed, actionable instructions for other AI agents based on a given task or goal.

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 sebkay/skills --skill generate-agent-instructions -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

sebkay

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 sebkay/skills at b1b6f13030.

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

Commit
b1b6f13030
Manifest
generate-agent-instructions/SKILL.md
Scanned
1 file, 38 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 generates detailed instructions for AI agents, specifying their roles, goals, and constraints. It helps define agent behavior clearly, ensuring they operate effectively within a defined scope. The generated instructions are designed to be easily understood by various AI platforms and frameworks.

When to use it

  • Defining new agents: Quickly create clear operational guidelines for newly developed AI agents.
  • Improving existing agent performance: Refine the behavior of current agents by providing more precise instructions.
  • Standardizing agent workflows: Ensure consistency across multiple AI agents performing similar tasks.
  • Facilitating collaboration between agents: Define interactions and responsibilities when multiple agents work together.

Key capabilities

  • Role definition
  • Goal specification
  • Constraint setting
  • Instruction generation

Example prompts

  • "Generate instructions for an agent whose role is a customer service chatbot, with the goal of resolving user inquiries efficiently."
  • "Create agent instructions for a data extraction tool that must only extract information from news articles and avoid opinion pieces."
  • “Write instructions for an AI agent tasked with summarizing research papers, specifying it should focus on methodology and results.”

Tips & gotchas

The quality of the generated instructions depends heavily on the clarity and specificity of your initial prompt. Be as detailed as possible when describing the desired agent behavior to achieve optimal results.