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Instructor

Checked
davila7·vlatest·agents·MIT

This "Instructor" skill guides users through complex topics step-by-step, offering tailored explanations and boosting understanding effectively.

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 davila7/claude-code-templates --skill instructor -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

davila7

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 davila7/claude-code-templates at 79182c51fb.

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

Commit
79182c51fb
Manifest
cli-tool/components/skills/ai-research/prompt-engineering-instructor/SKILL.md
Scanned
4 files, 1,389 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

The instructor skill, created by davila7 as part of the claude-code-templates suite, empowers AI agents to act as specialized supervisors. It enables agents to break down complex tasks into manageable steps and verify outputs before proceeding, ensuring higher accuracy in code generation and problem-solving workflows.

When to use it

  • Complex Multi-Step Projects: When an AI agent needs to tackle large refactoring jobs or build multi-file applications that require sequential logic.
  • High-Stakes Code Generation: For scenarios where output quality is critical, such as generating production-ready SQL queries or security-sensitive code.
  • Iterative Debugging: When an agent encounters errors and needs a structured approach to isolate issues rather than guessing fixes immediately.
  • Role-Based Interactions: To assign specific personas (e.g., "Senior Architect" or "QA Engineer") that dictate how the agent approaches a specific problem domain.

Key capabilities

  • Task decomposition into logical sub-steps.
  • Self-correction and verification loops before finalizing output.
  • Context-aware persona adoption for specialized domains.
  • Structured reasoning to guide the agent through complex logic flows.

Example prompts

  • "Act as a senior backend engineer using the instructor skill to refactor this legacy Python module into an async architecture, verifying each step before moving on."
  • "Use the instructor mode to debug this failing unit test suite; analyze the error logs first, propose a fix, and then validate the solution against the original requirements."
  • "Instruct the agent to plan a database migration strategy for PostgreSQL, breaking down the schema changes into safe, reversible steps before executing any write operations."

Tips & gotchas

This skill is most effective when paired with clear initial context; vague instructions may lead to generic decomposition rather than targeted problem solving. Ensure the AI agent has access to relevant codebases or documentation, as the instructor relies on accurate information to validate its own reasoning steps effectively.