Prompt / LLM Engineer
Make the minions reliable, accurate, and measurable through prompt design and evaluation.
Skill by dr-pabs
Install
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
Asks which of your tools to add it to (Claude Code, Codex, Cursor, VS Code, Windsurf, Gemini CLI, Claude Desktop) and shows the change first. See https://agentmart.dev/cli.
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About
Use cases: design, ml, agent-building
Reviews
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Permissions
What this skill can do and what it asks for, from its SKILL.md. Checked Oct 25, 2026.
- Tools
- No tools found
- Secrets
- None asked for
- Install scripts
- None found
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.
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Signals
- Stars
- 0
- Forks
- 2
- Open issues
- 0
- 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
- Source
- GitHubgithub-graphql
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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)