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Prompting

Listed
danielmiessler·vlatest·ai-ml·MIT

This skill helps refine prompts for large language models, boosting response quality and accuracy – essential for effective AI interaction.

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 danielmiessler/lifeos --skill prompting --full-depth -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

danielmiessler

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 failed 1 of 6 checks. A failure is not proof of bad intent; it means something in the code needs a human to look at it before you run it.

  • Declares what it does: failed

    No SKILL.md was found in the skill's directory.

    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 danielmiessler/personal_ai_infrastructure at 5e2f2e8c0a.

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

Commit
5e2f2e8c0a
Manifest
LifeOS/install/skills/Prompting/SKILL.md
Scanned
0 files
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 enables AI agents to generate, refine, and execute precise instructions for other models or internal workflows. It transforms vague user requests into structured prompts that maximize output quality and adherence to specific constraints.

When to use it

  • Task Decomposition: Breaking complex projects into step-by-step instructions for an agent to follow sequentially.
  • Context Injection: Embedding specific background data, tone guidelines, or formatting rules into a request.
  • Iterative Refinement: Re-phrasing initial queries to correct errors or adjust the depth of analysis required.
  • Role Simulation: Assigning personas (e.g., "act as a senior developer") to guide the agent's reasoning style.

Key capabilities

  • Converts natural language into optimized model inputs.
  • Enforces strict formatting and output structures.
  • Manages context windows by summarizing or truncating irrelevant data.
  • Adjusts complexity levels based on user expertise.

Example prompts

  • "Act as a Python expert and write a function to parse CSV files, including error handling for malformed rows."
  • "Summarize the following article into three bullet points, focusing only on financial implications."
  • "Draft an email to a client explaining a delay, maintaining a professional yet empathetic tone."

Tips & gotchas

Ensure you provide sufficient context in your initial prompt, as vague instructions often lead to generic outputs. If an agent produces incorrect results, re-prompt by explicitly stating the desired format or correcting specific logic errors rather than just asking for a "better" version.