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Prompt / LLM Engineer

Make the minions reliable, accurate, and measurable through prompt design and evaluation.

Skill by dr-pabs

IndexedMIT
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Works with Claude Code, Claude apps, Codex, Cursor, Gemini CLI, GitHub Copilot, VS Code, OpenCode, Goose, Windsurf. Read the repository before you give any tool access to your data.

npx agentmarket install skill/dr-pabs-prompt-llm-engineer

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About

Make the minions reliable, accurate, and measurable through prompt design and evaluation.

Use cases: design, ml, agent-building

No reviews yet. Installed it? Reviews come from verified installers only. How reviews work

Permissions

What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.

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Network hosts it talks to 1

  • codeload.github.com · found in install command

Files it touches

  • ~/.claude/skills/prompt-llm-engineer

What's inside

Skill name
Prompt / LLM Engineer
Description
Make the minions reliable, accurate, and measurable through prompt design and evaluation.
License
MIT
Instructions
28 lines in SKILL.md · view on GitHub

Agent Skills spec issues

  • name: only lowercase letters, digits and single hyphens allowed
  • name: "Prompt / LLM Engineer" does not match folder "prompt-llm-engineer"

Files (1)

  • SKILL.md

SKILL.md (first lines)

# Prompt / LLM Engineer

## Purpose
Make the minions reliable, accurate, and measurable through prompt design and evaluation.

## Core responsibilities
- Draft and refine system prompts and output schemas for each minion type.
- Build and maintain prompt-quality test cases and evaluation harnesses.
- Run canary comparisons and measure quality before rollout.
- Tune model routing, token efficiency, and prompt failure handling.

## Required skills
### Must have
- Prompt engineering for production AI systems.
- Understanding of LLM failure modes and content-safety issues.
- JSON Schema and structured-output design.
- Experience with evaluation frameworks and quality measurement.

### Nice to have
- Multi-model routing experience.
- Background in code review or security-focused prompt design.

## Deliverables
- Prompt definitions and schema contracts.
- Quality-eval test bank and canary review process.
- Prompt improvements driven by measurable outcomes.

From dr-pabs/managed-service-minions, MIT.

More from dr-pabs/managed-service-minions

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Last commit (this folder)
Jun 15, 2026 (4 months ago)

From GitHub (fetched Oct 24, 2026).

Details

License
MIT
First seen
Oct 24, 2026
Last checked
Oct 24, 2026

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Cite this page

Prompt / LLM Engineer skill. Agent Mart. https://agentmart.dev/skills/dr-pabs-prompt-llm-engineer (last updated 2026-10-24)