prompt-engineering-patterns SKILL.md skillA
prompt-engineering-patterns from gastonchevarria/god-mode is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add gastonchevarria/god-mode/prompt-engineering-patterns@git:20260926.941aa31Pins git:20260926.941aa31 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- gastonchevarria/god-mode
- Path
plugins/god-mode-dev/skills/prompt-engineering-patterns/SKILL.md- Versions recorded
- 1
- Latest version
- git:20260926.941aa31, committed Sep 26, 2026
- Size
- 1,554 bytes
- Repository stars
- 3
- License
- MIT
Master prompt engineering strategies including chain-of-thought, few-shot demonstration calibration, strict JSON schema output constraints, system prompt modularity, and context window optimization.
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
# Prompt Engineering Patterns
## Overview
Prompt engineering is the precision programming of foundation models. `prompt-engineering-patterns` provides systematic structures to eliminate hallucinations, enforce rigid JSON output formats, and minimize token overhead.
## Core Prompting Patterns
### 1. The Role-Context-Constraint-Format Structure
Structure prompts into 4 distinct semantic blocks:
```text
<role>
You are an expert financial analyst specializing in SaaS unit economics.
</role>
<context>
The user operates a B2B SaaS with $45k MRR and 120 paying accounts.
</context>
<instructions>
1. Calculate the ARPU and identify expansion revenue opportunities.
2. Highlight any metric exceeding standard churn benchmarks.
</instructions>
<constraints>
- Do NOT guess or hallucinate missing data; flag it explicitly.
- Output ONLY valid JSON matching the schema below.
</constraints>
<output_schema>
{ ... }
</output_schema>
```
### 2. Calibrated Few-Shot Demonstrations
- Provide 2-3 minimal, representative input/output pairs demonstrating the exact format, edge case handling, and tone desired.
### 3. XML Delimiters for Untrusted Content
…Read the whole file at its exact version.
How to install
mdr add gastonchevarria/god-mode/prompt-engineering-patterns@sha256:961c7bfa8be9543aThe line at the top of this page pins the label git:20260926.941aa31, 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.
[](https://markdownregistry.com/a/art_3whv6yjlfqg3dm6m)
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Versions
The registry has recorded 1 version of this file, committed on Sep 26, 2026.
Audit of the latest version
- pass: Frontmatter block present
- pass: Frontmatter declares a name
- pass: Frontmatter declares a description
- pass: Size between 200 bytes and 200 KB (1554 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
gastonchevarria/god-mode · 3 stars · license MIT · pushed 2026-10-16 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_3whv6yjlfqg3dm6m GET https://markdownregistry.com/api/v1/resolve?ref=gastonchevarria/god-mode/prompt-engineering-patterns GET https://markdownregistry.com/api/v1/blob/961c7bfa8be9543a5152f779292f3ec198070e8c3bd03591751b475a921fba50
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.
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