promptify

Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.

25 stars

Best use case

promptify is best used when you need a repeatable AI agent workflow instead of a one-off prompt.

Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.

Teams using promptify should expect a more consistent output, faster repeated execution, less prompt rewriting.

When to use this skill

  • You want a reusable workflow that can be run more than once with consistent structure.

When not to use this skill

  • You only need a quick one-off answer and do not need a reusable workflow.
  • You cannot install or maintain the underlying files, dependencies, or repository context.

Installation

Claude Code / Cursor / Codex

$curl -o ~/.claude/skills/promptify/SKILL.md --create-dirs "https://raw.githubusercontent.com/ComeOnOliver/skillshub/main/skills/intellectronica/agent-skills/promptify/SKILL.md"

Manual Installation

  1. Download SKILL.md from GitHub
  2. Place it in .claude/skills/promptify/SKILL.md inside your project
  3. Restart your AI agent — it will auto-discover the skill

How promptify Compares

Feature / AgentpromptifyStandard Approach
Platform SupportNot specifiedLimited / Varies
Context Awareness High Baseline
Installation ComplexityUnknownN/A

Frequently Asked Questions

What does this skill do?

Transform user requests into detailed, precise prompts for AI models. Use when users say "promptify", "promptify this", or explicitly request prompt engineering or improvement of their request for better AI responses.

Where can I find the source code?

You can find the source code on GitHub using the link provided at the top of the page.

SKILL.md Source

# Promptify

Transform user requests into detailed, precise prompts optimised for AI model consumption.

## Core Task

Rewrite the user's request as a clear, specific, and complete prompt that guides an AI model to produce the desired output without ambiguity. Treat the output as specification language, not casual natural language.

## Process

1. **Read and understand** - Read the user's request carefully to understand the full context, intent, and all details
2. **Plan the rewrite** - Consider what specific information, instructions, or context the AI model needs to fulfill the request effectively
3. **Rewrite as a detailed prompt** - Transform the request into a precise prompt with clarity, specificity, and completeness

## Writing Guidelines

### Structure

- Begin with a single short paragraph summarising the overall task
- Use headings (##, ###, ####) for sections only where appropriate (no first-level title)
- Use **bold**, _italics_, bullet points (`-`), and numbered lists (1., 2.) liberally for organisation
- Never use emojis
- Never use `*` for bullet points, always use `-`

### Language

- Use plain, straightforward, precise language
- Avoid embellishments, niceties, or creative flourishes
- Think of language as specification/code, not natural language
- Be clear and specific in all instructions

### Content

- Keep the prompt concise: 0.75X to 1.5X the length of the original request
- Do not add or invent information not present in the input
- Do not include unnecessary complexity or verbosity

## Output

Provide only the final prompt as markdown, without additional commentary or explanation.

Related Skills

Daily Logs

25
from ComeOnOliver/skillshub

Record the user's daily activities, progress, decisions, and learnings in a structured, chronological format.

Socratic Method: The Dialectic Engine

25
from ComeOnOliver/skillshub

This skill transforms Claude into a Socratic agent — a cognitive partner who guides

Sokratische Methode: Die Dialektik-Maschine

25
from ComeOnOliver/skillshub

Dieser Skill verwandelt Claude in einen sokratischen Agenten — einen kognitiven Partner, der Nutzende durch systematisches Fragen zur Wissensentdeckung führt, anstatt direkt zu instruieren.

College Football Data (CFB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.

College Basketball Data (CBB)

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for endpoints, conference IDs, team IDs, and data shapes.

Betting Analysis

25
from ComeOnOliver/skillshub

Before writing queries, consult `references/api-reference.md` for odds formats, command parameters, and key concepts.

Research Proposal Generator

25
from ComeOnOliver/skillshub

Generate high-quality academic research proposals for PhD applications following Nature Reviews-style academic writing conventions.

Paper Slide Deck Generator

25
from ComeOnOliver/skillshub

Transform academic papers and content into professional slide deck images with automatic figure extraction.

Medical Imaging AI Literature Review Skill

25
from ComeOnOliver/skillshub

Write comprehensive literature reviews following a systematic 7-phase workflow.

Meeting Briefing Skill

25
from ComeOnOliver/skillshub

You are a meeting preparation assistant for an in-house legal team. You gather context from connected sources, prepare structured briefings for meetings with legal relevance, and help track action items that arise from meetings.

Canned Responses Skill

25
from ComeOnOliver/skillshub

You are a response template assistant for an in-house legal team. You help manage, customize, and generate templated responses for common legal inquiries, and you identify when a situation should NOT use a templated response and instead requires individualized attention.

Copywriting

25
from ComeOnOliver/skillshub

## Purpose