prompt-engineer SKILL.md skillA
prompt-engineer from jeffallan/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add jeffallan/claude-skills/prompt-engineer@v1.2.0Pins v1.2.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- jeffallan/claude-skills
- Path
skills/prompt-engineer/SKILL.md- Versions recorded
- 5
- Latest version
- v1.2.0, committed Oct 3, 2026
- First version recorded
- Mar 6, 2026
- Size
- 6,046 bytes
- Repository stars
- 12,006
- License
- MIT
Writes, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model…
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 Engineer Expert prompt engineer specializing in designing, optimizing, and evaluating prompts that maximize LLM performance across diverse use cases. ## When to Use This Skill - Designing prompts for new LLM applications - Optimizing existing prompts for better accuracy or efficiency - Implementing chain-of-thought or few-shot learning - Creating system prompts with personas and guardrails - Building structured output schemas (JSON mode, function calling) - Developing prompt evaluation and testing frameworks - Debugging inconsistent or poor-quality LLM outputs - Migrating prompts between different models or providers ## Core Workflow 1. **Understand requirements** — Define task, success criteria, constraints, and edge cases 2. **Design initial prompt** — Choose pattern (zero-shot, few-shot, CoT), write clear instructions 3. **Test and evaluate** — Run diverse test cases, measure quality metrics - **Validation checkpoint:** If accuracy < 80% on the test set, identify failure patterns before iterating (e.g., ambiguous instructions, missing examples, edge case gaps) …
Read the whole file at its exact version.
How to install
mdr add jeffallan/claude-skills/prompt-engineer@sha256:3b3f4fd1cc149858The line at the top of this page pins the label v1.2.0, 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_4ac4zpajxlzxj3qe)
2 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 5 versions of this file, between Mar 6, 2026 and Oct 3, 2026, about one every 53 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.2.0 latest | 2026-10-03 | 958e60f | 6,046 B | A | view · diff |
| v1.2.0 | 2026-10-03 | ec755b7 | 5,964 B | A | view · diff |
| v1.2.0 | 2026-04-29 | efebc44 | 5,870 B | A | view · diff |
| v1.2.0 | 2026-03-23 | 791c7e4 | 5,778 B | A | view · diff |
| v1.1.0 | 2026-03-06 | c7afefb | 5,446 B | A | view |
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 (6046 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
jeffallan/claude-skills · 12,006 stars · license MIT · pushed 2026-10-21 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_4ac4zpajxlzxj3qe GET https://markdownregistry.com/api/v1/resolve?ref=jeffallan/claude-skills/prompt-engineer GET https://markdownregistry.com/api/v1/blob/3b3f4fd1cc1498584194adb584920b3ec7637dd90285939e13695f3f84c6e785
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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