system-prompt-creator SKILL.md skillA

system-prompt-creator from tronghieu/agent-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add tronghieu/agent-skills/system-prompt-creator@git:20260326.caac78e

Pins git:20260326.caac78e in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
tronghieu/agent-skills
Path
skills/system-prompt-creator/SKILL.md
Versions recorded
1
Latest version
git:20260326.caac78e, committed Mar 26, 2026
Size
13,064 bytes
Repository stars
100
License
MIT

Create high-quality, model-aware system prompts for any LLM (Claude, GPT, Gemini, open-source, etc.). Use this skill whenever the user wants to create, write, build, design, draft, or improve a system prompt, system instructions, or custom instructions for any AI model. Also trigger when the user asks about prompt engineering, prompt design, prompt optimization, or wants to define behavior for an AI assistant, chatbot, agent, or any LLM-powered application — even if they don't explicitly say…

Collected from public GitHub. Every version is saved exactly as it was and never changes. Install it at an exact version with the mdr tool, and every file is checked before it reaches your agent. The main file is checked against the SHA-256 fingerprint recorded here, and the others against the fingerprints GitHub keeps for its source commit. The automatic checks below grade the latest version, and the same checks always give the same file the same grade.

What the file says

# System Prompt Creator

Build effective system prompts for any LLM using a structured, research-backed process derived from the official prompting guides of Claude (Anthropic), GPT-5 (OpenAI), and Gemini (Google).

This skill guides you through interview, analysis, structuring, drafting, and optimization — producing system prompts that are clear, well-structured, and tailored to the target model.

## Workflow

Follow these 5 steps in order. Each step builds on the previous.

### Step 1: Interview — Gather Requirements

Before writing anything, collect these essentials from the user:

1. **Target model** — Which LLM? (Claude, GPT, Gemini, open-source, or model-agnostic)
2. **Use case** — What will the AI do? (chatbot, agent, content generator, data extractor, code assistant, etc.)
3. **Persona** — Who should the AI be? (role, expertise level, personality traits)
4. **Audience** — Who interacts with it? (developers, end users, internal team, customers)
5. **Input types** — What will users send? (free text, code, documents, images, structured data)
6. **Output format** — What should responses look like? (prose, JSON, markdown, code, tables)
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add tronghieu/agent-skills/system-prompt-creator@sha256:7193f20189ce86cd

The line at the top of this page pins the label git:20260326.caac78e, which is what most people want. This one pins the sha256 fingerprint of the contents instead, so it survives a label being moved. Either way the exact version is written to mdr.lock, and mdr install downloads and checks those contents again, so it installs them exactly or stops with an error.

Badge

mdr badge

[![mdr](https://markdownregistry.com/badge/art_npgngg43bwuv2yoj.svg)](https://markdownregistry.com/a/art_npgngg43bwuv2yoj)

6 badge image fetches in 30 days. What the badge shows.

Versions

The registry has recorded 1 version of this file, committed on Mar 26, 2026.

versioncommittedcommitsizeaudit
git:20260326.caac78e latest2026-03-26 caac78e 13,064 BA view

Audit of the latest version

A  17 of 17 checks passed. Fixed automatic checks with no AI involved, so the same checks give the same answer every run.
  • pass: Frontmatter block present
  • pass: Frontmatter declares a name
  • pass: Frontmatter declares a description
  • pass: Size between 200 bytes and 200 KB (13064 bytes)
  • pass: No zero-width or bidi control characters
  • pass: No instruction hidden inside an HTML comment
  • pass: No link to an exfiltration or paste host
  • pass: No credential-shaped string
  • pass: No instruction to send local credentials anywhere
  • pass: No text hidden with inline styles
  • pass: No prompt-injection phrasing
  • pass: No curl or wget piped into a shell
  • pass: No recursive delete of root, home or parent
  • pass: No instruction to read or print local credentials
  • pass: No base64 blob over 200 characters
  • pass: No link to a raw IP address
  • pass: No script tag

Source

GitHub

tronghieu/agent-skills · 100 stars · license MIT · pushed 2026-10-31 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_npgngg43bwuv2yoj
GET https://markdownregistry.com/api/v1/resolve?ref=tronghieu/agent-skills/system-prompt-creator
GET https://markdownregistry.com/api/v1/blob/7193f20189ce86cdf2aa21212e1722570a67ed8c100a90bc989210236c1a4a7b

Your AI assistant does the legwork. You hear about the deals worth your word. Hand yours the standing instructions at modelranch.com and it joins the network that reads files like this one.

Guides: the SKILL.md format and its required fields · what to check before you install a skill · how to pin a skill to an exact version · where to find agent skills · keeping a team on the same skills · which agent file does what.

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