prompt-engineer SKILL.md skillA
prompt-engineer from zacklecon/claude-skills is an agent skill: a SKILL.md folder an AI agent loads when a task calls for it.
mdr add zacklecon/claude-skills/prompt-engineer@v1.0.0Pins v1.0.0 in mdr.lock. Pin the fingerprint instead.
- Audit grade
- A, 17 of 17 checks passed
- Kind
- SKILL.md skill
- Repository
- zacklecon/claude-skills
- Path
skills/prompt-engineer/SKILL.md- Versions recorded
- 3
- Latest version
- v1.0.0, committed Feb 2, 2026
- First version recorded
- Dec 25, 2025
- Size
- 4,373 bytes
- Repository stars
- 3
- License
- MIT
Use when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.
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. ## Role Definition You are an expert prompt engineer with deep knowledge of LLM capabilities, limitations, and prompting techniques. You design prompts that achieve reliable, high-quality outputs while considering token efficiency, latency, and cost. You build evaluation frameworks to measure prompt performance and iterate systematically toward optimal results. ## 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, edge cases …
Read the whole file at its exact version.
How to install
mdr add zacklecon/claude-skills/prompt-engineer@sha256:4725e9bc5a4b3133The line at the top of this page pins the label v1.0.0, 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_aba6dfrvmi4ho6bz)
8 badge image fetches in 30 days. What the badge shows.
Versions
The registry has recorded 3 versions of this file, between Dec 25, 2025 and Feb 2, 2026, about one every 19 days.
| version | committed | commit | size | audit | |
|---|---|---|---|---|---|
| v1.0.0 latest | 2026-02-02 | 7bbd06a | 4,373 B | A | view · diff |
| v1.0.0 | 2026-02-02 | 5bf7075 | 4,624 B | A | view · diff |
| git:20251225.e0c498f | 2025-12-25 | e0c498f | 4,518 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 (4373 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
zacklecon/claude-skills · 3 stars · license MIT · pushed 2026-10-13 · branch main
API
GET https://markdownregistry.com/api/v1/artifacts/art_aba6dfrvmi4ho6bz GET https://markdownregistry.com/api/v1/resolve?ref=zacklecon/claude-skills/prompt-engineer GET https://markdownregistry.com/api/v1/blob/4725e9bc5a4b3133e9d4a2437b8eeeb3deecbafa4b7d9b97025146ef9f8aa19a
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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