Zum Hauptinhalt springen
Dieser Inhalt ist noch nicht in Ihrer Sprache verfügbar und wird auf Englisch angezeigt.

Prompt Engineering

Skill Verifiziert Aktiv

Use this skill when you writing commands, hooks, skills for Agent, or prompts for sub agents or any other LLM interaction, including optimizing prompts, improving LLM outputs, or designing production prompt templates.

Zweck

Enhance LLM performance, reliability, and controllability through advanced prompt engineering techniques and structured communication patterns.

Funktionen

  • Few-Shot Learning examples and usage
  • Chain-of-Thought prompting for complex reasoning
  • Prompt optimization strategies and iteration
  • Template systems for reusable prompt structures
  • System prompt design for stable instructions

Anwendungsfälle

  • Teaching LLMs through examples for consistent formatting or reasoning.
  • Improving accuracy on complex analytical tasks by requesting step-by-step reasoning.
  • Systematically refining prompts for production use to ensure consistency and cost-efficiency.
  • Building reusable prompt structures for multi-turn conversations or role-based interactions.

Nicht-Ziele

  • Generating code directly.
  • Interacting with external services or APIs.
  • Managing project dependencies or file structures.

Workflow

  1. Understand prompt engineering principles.
  2. Apply techniques like Few-Shot Learning or Chain-of-Thought.
  3. Optimize prompts through testing and iteration.
  4. Design reusable prompt templates and system prompts.
  5. Integrate with LLM workflows for improved results.

Praktiken

  • Prompt engineering
  • LLM interaction design
  • Agent communication

Installation

Zuerst Marketplace hinzufügen

/plugin marketplace add NeoLabHQ/context-engineering-kit
/plugin install customaize-agent@context-engineering-kit

Qualitätspunktzahl

Verifiziert
99 /100
Analysiert 1 day ago

Vertrauenssignale

Letzter Commit9 days ago
Sterne993
LizenzGPL-3.0
Status
Quellcode ansehen

Ähnliche Erweiterungen

Arize Prompt Optimization

100

Optimizes, improves, and debugs LLM prompts using production trace data, evaluations, and annotations. Extracts prompts from spans, gathers performance signal, and runs a data-driven optimization loop using the ax CLI. Use when the user mentions optimize prompt, improve prompt, make AI respond better, improve output quality, prompt engineering, prompt tuning, or system prompt improvement.

Skill
github

Prompt Optimization

100

Wendet Prompt-Wiederholung an, um die Genauigkeit für LLMs ohne Schlussfolgerungsfähigkeit zu verbessern

Skill
asklokesh

Context Compression

100

This skill should be used when the user asks to "compress context", "summarize conversation history", "implement compaction", "reduce token usage", or mentions context compression, structured summarization, tokens-per-task optimization, or long-running agent sessions exceeding context limits.

Skill
muratcankoylan

Unsloth

100

Expert guidance for fast fine-tuning with Unsloth - 2-5x faster training, 50-80% less memory, LoRA/QLoRA optimization

Skill
davila7

CE Optimize

100

Run metric-driven iterative optimization loops -- define a measurable goal, run parallel experiments, measure each against hard gates or LLM-as-judge scores, keep improvements, and converge on the best solution. Use when optimizing clustering quality, search relevance, build performance, prompt quality, or any measurable outcome that benefits from systematic experimentation.

Skill
EveryInc

Mcp Setup

100

Configure popular MCP servers for enhanced agent capabilities

Skill
Yeachan-Heo