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提示工程技能：链式推理设计、Few-shot模板、System Prompt优化、Token效率分析、多模型适配
Mit Codex oder Claude installieren Kopieren Sie diesen Prompt, fügen Sie ihn in Codex, Claude oder einen anderen Assistant ein und lassen Sie die Skill-Seite prüfen und installieren.
Basierend auf der SOC-Berufsklassifikation
Implements Figma designs to exact 1:1 fidelity by decomposing them into sub-components and building bottom-up with self-correcting validation loops. This skill should be used when implementing UI from Figma files, when a Figma URL is provided, or when the user mentions "implement design", "figma to code", "build from figma", "convert figma", "break down this design", "implement page", "implement component", "generate code", "build Figma design", or "pixel perfect". Works for both full pages and single components. Requires Figma MCP server connection. Do not use for non-Figma design tasks or when the user only wants a screenshot or metadata without implementation.
MCP bundle package
MCP bundle package
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| id | skill-llm-prompt-engineering |
| name | LLM Prompt Engineering Skills |
| version | 1.0.0 |
| description | 提示工程技能：链式推理设计、Few-shot模板、System Prompt优化、Token效率分析、多模型适配 |
| category | prompt |
| tags | ["prompt-engineering","llm","token-optimization","chain-of-thought"] |
| author | Prompt Engineering Community |
| repositoryUrl | https://github.com/prompt-eng/skills |
| parameters | {"transport":"stdio","configTemplate":"{\"transport\": \"stdio\", \"command\": \"npx\", \"args\": [\"-y\", \"prompt-eng-skills\"]}"} |
提示工程技能：链式推理设计、Few-shot模板、System Prompt优化、Token效率分析、多模型适配
prompt-engineering, llm, token-optimization, chain-of-thought
仓库: https://github.com/prompt-eng/skills
npx -y prompt-eng-skills
调用 skill_call(skillId="skill-llm-prompt-engineering") 获取此 Skill 的完整指导内容。