prompt-engineering SKILL.md skillA

prompt-engineering from n-n-code/n-n-code-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.

Install it, pinned
mdr add n-n-code/n-n-code-skills/prompt-engineering@git:20260905.4e6a0aa

Pins git:20260905.4e6a0aa in mdr.lock. Pin the fingerprint instead.

Audit grade
A, 17 of 17 checks passed
Kind
SKILL.md skill
Repository
n-n-code/n-n-code-skills
Path
.agents/skills/prompt-engineering/SKILL.md
Versions recorded
5
Latest version
git:20260905.4e6a0aa, committed Sep 5, 2026
First version recorded
May 3, 2026
Size
9,417 bytes
Repository stars
4
License
MIT

Prompt engineering workflow for designing, rewriting, debugging, evaluating, and optimizing LLM prompts, system prompts, developer prompts, few-shot examples, structured-output instructions, tool-use prompts, and prompt eval cases. Use when prompt behavior, reliability, safety, cost, latency, or model fit is the main task. Do not use for generic prose editing, model selection alone, or ordinary documentation work with no prompt artifact.

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

Treat prompts as small behavioral specs. Improve them by naming the job,
testing the behavior, changing one important thing at a time, and preserving
the prompt's operating context.

## Activity And Authority

- For review, return findings and evidence without rewriting files or changing
  a deployed prompt. A proposed revision may accompany findings when requested.
- For drafting or implementation, change the requested prompt artifact within
  existing authority. Separate local evaluation from deployments, live tool
  actions, sensitive-data use, and metered runs that need additional authority.
- Use the smallest useful output. A short rewrite need not produce a formal
  experiment report; a consequential behavior change needs explicit cases and
  honest evidence.

## Core Workflow

1. **Scope the prompt job.**
   Identify the target model or provider, audience, runtime surface, inputs,
   tools, output contract, constraints, and where the prompt will live. If the
   prompt belongs to a repo, inspect existing prompts, schemas, examples,
   tool definitions, evals, logs, and docs before asking avoidable questions.
2. **Define success before rewriting.**
…

Read the whole file at its exact version.

How to install

The exact contents, by fingerprint
mdr add n-n-code/n-n-code-skills/prompt-engineering@sha256:53ed2219041d75d4

The line at the top of this page pins the label git:20260905.4e6a0aa, 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_jwaa7pjpfmxkwbxm.svg)](https://markdownregistry.com/a/art_jwaa7pjpfmxkwbxm)

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

Versions

The registry has recorded 5 versions of this file, between May 3, 2026 and Sep 5, 2026, about one every 31 days.

versioncommittedcommitsizeaudit
git:20260905.4e6a0aa latest2026-09-05 4e6a0aa 9,417 BA view · diff
git:20260904.6c1f6992026-09-04 6c1f699 9,415 BA view · diff
git:20260828.77793312026-08-28 7779331 8,229 BA view · diff
git:20260505.e0582e62026-05-05 e0582e6 8,181 BA view · diff
git:20260503.90775712026-05-03 9077571 6,355 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 (9417 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

n-n-code/n-n-code-skills · 4 stars · license MIT · pushed 2026-11-01 · branch main

API

GET https://markdownregistry.com/api/v1/artifacts/art_jwaa7pjpfmxkwbxm
GET https://markdownregistry.com/api/v1/resolve?ref=n-n-code/n-n-code-skills/prompt-engineering
GET https://markdownregistry.com/api/v1/blob/53ed2219041d75d4b4914e858628639714b0cfec8eff1a812ec0fcb52bb5c4e3

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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