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meta-prompting元提示

Agent Skill

用于辅助提示词、系统指令、Agent 行为约束和工作流模板的整理。它适合让 Agent 规范任务边界、统一输出格式、拆分操作步骤或优化提示词可复用性。使用时需要保留真实业务约束,不要把示例当硬规则;涉及自动执行、外部工具或高风险操作时,应在提示词中明确确认步骤、权限边界和失败处理方式。

总安装

517

周安装

22

GitHub Stars

7

下载量

181
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

2

许可证

unknown

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:meta-prompting(元提示)
来源仓库:https://github.com/iliaal/ai-skills
仓库路径:skills/meta-prompting
安装命令:
npx skills add https://github.com/iliaal/ai-skills --skill meta-prompting
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。该命令会通过 npx skills 从第三方来源获取 Skill;本站只展示命令,不托管安装包,也不自动执行。

skills.shnpx skills
npx skills add https://github.com/iliaal/ai-skills --skill meta-prompting

简介

用于辅助提示词、系统指令和工作流模板的整理,帮助 Agent 规范任务边界和输出格式。

  • 适合优化提示词可复用性、拆分操作步骤或统一行为约束。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装并使用。
  • 使用时需保留真实业务约束,避免将示例当作硬规则;高风险操作应明确确认步骤和权限。
  • 建议结合项目实际需求调整模板内容,确保安全可控。

SKILL.md

Meta-Prompting

Enhanced reasoning via /commands or natural language. Commands combine left-to-right: /verify /adversarial. Auto-trigger when context warrants -- note which pattern applied. Output: apply the pattern inline, then mark the result (e.g., VERIFIED ANSWER:, REVISED ANSWER:, confidence tier).

Patterns

/think | /show -- Show reasoning step-by-step: decision points, alternatives considered, why each accepted/rejected. With /think doubt: after each step, flag what could be wrong and why before proceeding.

/adversarial | /argue -- After answering, steelman the opposing case. 3 strongest counterarguments ranked by severity. Identify blind spots and unstated assumptions.

/constrain | /strict -- Tight constraints: 3 sentences max, cite sources, no hedging. Override inline: /constrain 5 sentences.

/json | /format -- Respond in valid JSON code block, no surrounding prose unless asked. Default schema:

{"analysis": "string", "confidence_score": 85, "methodology": "string", "limitations": ["string"]}

Custom keys: /json {keys: summary, risks, recommendation}

/budget | /deep -- Extended thinking space (~500 words) showing dead ends and reasoning pivots, then clearly separated final answer.

/compare | /vs -- Compare options as table. Default dimensions: speed, accuracy, cost, complexity, maintenance. Custom: /compare [dim1, dim2].

/confidence | /conf -- Rate each claim 0-100. Flag below 70 as SPECULATIVE. Group by tier: HIGH (85+), MEDIUM (70-84), LOW (<70). Include assumptions made and rate each 1-10 on confidence.

/edge | /break -- 5+ inputs/scenarios that break the approach. Code: null/empty, concurrency, overflow, encoding, auth bypass. Strategies: market conditions, timing, dependencies. *Auto-triggers on: security, validation, parsing contexts.*

/verify-think | /check -- Three phases: (1) Answer direct response, (2) Challenge 3 ways it could be wrong, (3) Verify investigate each, update if needed. Mark final as VERIFIED ANSWER: or REVISED ANSWER:. Distinct from the /ia-verify slash command, which runs the full pre-PR verification pipeline. *Auto-triggers on: architecture decisions, critical choices, "Am I right?"*

/flip | /alt -- Identify the approach you'd take by default and state it. Then propose an alternative that uses a different mechanism (different data structure, different layer, different abstraction). State the conditions under which the alternative beats the default. Override: /flip 3 for top 3 alternatives. *Auto-triggers on: architecture decisions where the "easy" answer may break at scale.*

/assumptions | /presume -- Before answering, list every implicit assumption in the question/task. Then answer with assumptions explicit. The assumption list is often more valuable than the answer. *Auto-triggers on: architecture reviews, ambiguous requirements.*

/premortem | /postmortem -- Assume the decision/project has already failed. Work backwards: what caused the failure? List 3-5 failure modes by likelihood. Focus on systemic risks, not edge cases.

/tensions | /perspectives -- Answer from two named opposing perspectives (e.g., security engineer vs. shipping PM). Focus output on where they *disagree* -- that's where the real insight lives. Override roles: /tensions [devops, security].

Combos

/analyze = /think + /edge + /verify-think -- Code reviews, architecture, security-sensitive work. Synthesize findings into a unified recommendation -- don't just concatenate pattern outputs. *Auto-triggers on: code review requests.*

/trade = /confidence + /adversarial + /edge -- Trade ideas, position analysis, market thesis. *Auto-triggers on: trade/position discussions.*

Conventions

  • Separate combined pattern outputs with ---
  • Keep core answer prominent -- patterns enhance, not bury the response
  • Accept new pattern definitions mid-conversation ("Add /eli5 for explain like I'm 5") -- apply for the session

Verify

  • Pattern marker present in output (e.g., VERIFIED ANSWER: for /verify)
  • Core answer remains prominent -- meta-reasoning enhances, doesn't bury it

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Codex

34.78%
按下载量换算63

Claude

32.67%
按下载量换算59

Cursor

18.17%
按下载量换算33

Gemini CLI

9.58%
按下载量换算17

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

通过

权限和风险

权限需确认

当前来源未能明确判断权限范围,默认进入异常复核队列。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。当前只有一个来源,正式发布前建议补源仓库或其他目录站核验。

来源信息

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