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AI/ML · Global library

Few-Shot Prompt Engineer

Design effective few-shot prompts with example selection, formatting, and optimization for consistent high-quality outputs

CodexClaude CodeKimi Codeorchestrator-mcp
Open pack on GitHubBack to catalog

Best use case

Use Few-Shot Prompt Engineer when you need to design effective few-shot prompts with example selection, formatting, and optimization for consistent high-quality outputs, especially when the work is driven by few-shot and prompt engineering.

Trigger signals

few-shotprompt engineeringexamplesin-context learningdemonstrations

Validation hooks

consistency-checkcoverage-test

Install surface

Copy the exact command path you need.

Inspect

pip install "orchestrator-mcp[dashboard]"
orchestrator-mcp skills show few-shot-prompt-engineer

Use

orchestrator-mcp skills export few-shot-prompt-engineer --to ./skillforge-packs
# copy the exported pack into your preferred agent environment

Export

cp -R skills/few-shot-prompt-engineer ./your-agent-skills/few-shot-prompt-engineer
# or open skills/few-shot-prompt-engineer/SKILL.md in a markdown-first client

File patterns

*.pyprompt*.py*.txt*.md

Model preferences

claude-sonnet-4gpt-4oclaude-haiku-3

Related skills

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Design short-term, long-term, and episodic memory layers for agents without turning retrieval into an unbounded context leak.

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Apache-2.0 licensedUse it, fork it, redistribute it. No strings attached.Safety-first by designSecret redaction, release scanning, and no shell execution. Constraints are public.GitHub nativeEvery pack is a real folder. Fork, edit, PR. No hidden backend or proprietary pipeline.