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prompting

Guide for writing effective system prompts for LLM agents. Use when creating or editing system prompts for applications, agent configurations, or development tools.

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来源信息

仓库
cashew-labs/libretto
最近来源活动
2026年3月4日 23:18
检测到的 SKILL.md 语言
英语
星标
902
分支
70

安装方式

默认使用会先检查来源的 Prompt;你也可以切换为直接命令,或下载本地副本。

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决定是否安装前,请先阅读 SKILL.md,以及 SkillsMP 当前展示的配套文件。

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SKILL.md
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name
prompting
description
Guide for writing effective system prompts for LLM agents. Use when creating or editing system prompts for applications, agent configurations, or development tools.
# Prompting ## Philosophy LLMs are intelligent by default. System prompts set direction and impose constraints, not explain reasoning. Start minimal. Observe failures. Add targeted fixes. Every instruction must justify its token cost by solving a real problem. Do not explain existing capabilities, list obvious practices, add preventive instructions, or repeat information. ## Structure Use markdown sections and paragraphs. Each section describes one behavior or constraint. State what to do or avoid. Explain why if non-obvious. Show correct behavior with examples. ### Formatting Headings up to level 3. Plain paragraphs. No bold, italics, or emojis. Code blocks for commands. Lists only for distinct enumerable items. ## Examples Wrap examples in `<example>` tags with user/assistant prefixes. One pair per tag. ``` <example> user: What's the capital of France? assistant: Paris </example> ``` Use brackets for tool actions instead of showing invocations: ``` <example> user: Find all TODO comments assistant: [searches codebase] Found 3 TODOs: ... </example> ``` ## Include Behaviors the model gets wrong by default. Domain constraints. Output format requirements. Safety boundaries. Tool integrations. ## Omit Reasoning instructions. Problem-solving approaches. Common sense behaviors. Ethical guidelines. Capability descriptions. ## Iteration Start minimal. Test with real inputs. Identify failures. Add targeted fixes. Remove unnecessary instructions. Track which instructions prevent which failures. If you cannot identify the specific problem an instruction solves, remove it. ## Model-Specific Guidance Consult references/ for model-specific patterns: - references/claude.md - XML structure, countering sycophancy, trigger words, parallel execution - references/gpt.md - Contradiction sensitivity, role hierarchy, verbosity control, metaprompting - references/gemini.md - Conciseness, tool explanations, library checks, context placement - references/codex.md - OpenAI Codex models, tool implementations, autonomy patterns, compaction
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