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Agent Skill · 效率

persona-pack-builder(角色包构建器)

persona-pack-builder 用于辅助前端页面、组件、样式和交互逻辑开发,适合在 OpenClaw 中需要维护前端项目、生成组件或检查界面实现时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

persona-pack-builder 是效率类 Agent Skill,可用宿主为 OpenClaw,通过ClawHub获取,权限为需要联网;许可证为 MIT-0,第三方扫描已通过,按安装量在效率类的 21,003 个 Skill 里排第 9,001。

总安装 6,477周安装 262GitHub Stars 1下载 2,033核验 2026-05-01

安装说明

本站只整理中文说明,不托管安装包,也不代用户安装。
GitHub
许可证
MIT-0
版本
1.0.0

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:persona-pack-builder(角色包构建器)
来源仓库:https://github.com/xiaonizhou-crypto/persona-pack-builder
安装命令:
openclaw skills install persona-pack-builder
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 OpenClaw 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。

ClawHubOpenClaw
openclaw skills install persona-pack-builder

这个 Skill 是做什么的

效率类 Skill 把重复的整理、汇总、转换工作交给助手完成,减少手工复制粘贴。

打包可销售的人工智能角色产品,如提示包与风格包。适用于商业化 AI 资产创建与管理。通过 clawhub 安装,支持导出标准化格式。需确保角色内容符合知识产权规范。适用宿主包括 OpenClaw,接入前应确认版本、权限和运行环境要求。

persona-pack-builder 属于效率类 Skill,可作为该场景下的辅助能力补充。

上手步骤

4 步
  1. 1

    确认自己的宿主工具

    公开资料标注支持 OpenClaw;先确认自己用的是其中之一,再按对应工具的 Skills 目录放置。

  2. 2

    拿到安装命令

    可以直接复制的命令是 openclaw skills install persona-pack-builder;命令里的占位符换成自己的路径或密钥再执行。

  3. 3

    安装后重启宿主

    命令执行完要完全退出宿主工具再打开,让新装的 Skill 被重新扫描到,否则列表里可能看不到。

  4. 4

    按最小权限试用

    它需要需要联网,先在测试目录或测试账号里跑,确认没问题再放到正式项目。

常见问题

6 条

persona-pack-builder 怎么安装?

在终端执行 openclaw skills install persona-pack-builder。装完完全退出宿主工具再打开,让它重新扫描本地 Skill。

persona-pack-builder 支持哪些 AI 工具?

公开资料标注支持 OpenClaw。其他工具只要能读取本地 Skill 目录,一般也能手动放进去,但要自己确认触发方式是否一致。

persona-pack-builder 需要什么权限?

权限级别是需要联网。该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

persona-pack-builder 是免费的吗?

来源标注的许可证是 MIT-0。本站不代收任何费用,也不托管安装包;能否商用、要不要署名,以许可证原文为准。

persona-pack-builder 用的人多吗?

公开数据是累计安装 6,477 次,近一周安装 262 次,下载 2,033 次,GitHub 1 星。这些数字来自第三方目录统计,只能当作热度参考,不代表质量或安全性。

persona-pack-builder 安全吗?

第三方扫描结果为通过,但这只覆盖已知的静态检查项,不能替代自己读一遍源码和安装命令。

值得选的地方和要先想清楚的地方

值得选的地方

  • 专注 OpenClaw 一种宿主,触发方式和使用习惯不用来回切换。
  • 许可证明确为 MIT-0,商用和分发边界好判断。
  • 第三方扫描已通过,常见的高风险行为没有命中。

先想清楚的地方

  • 第三方目录整理,版本更新和行为细节以来源仓库为准。

适不适合你

更适合

  • 已经在用 OpenClaw,想直接扩展它能力的人。
  • 需要处理效率类任务、又不想每次都手写提示词的人。
  • 需要许可证清楚、并且有第三方扫描结果的团队项目。

不太适合

  • 需要厂商级技术支持和 SLA 的生产系统。

效率类 Skill 对比

6 个同类
Skill总安装GitHub 星权限许可证扫描
github

GitHub 代码协作 · OpenClaw

7,632,918545需要联网MIT-0通过
nano-pdf

Nano PDF 文档 · OpenClaw

4,249,476231需要联网MIT-0通过
auto-updater

自动更新程序 · OpenClaw

2,964,063386操作浏览器MIT-0通过
video-frames

视频帧 · OpenClaw

2,621,304112需要联网MIT-0通过
gemini

Gemini 助手 · OpenClaw

2,547,39648需要联网MIT-0有提醒
persona-pack-builder

角色包构建器 · 本页

6,4771需要联网MIT-0通过

按安装量取同分类前几名;数字来自第三方目录统计,只作热度参考,不代表质量结论。

SKILL.md 原文

name
persona-pack-builder
description
Build, refine, and package sellable AI persona/prompt products such as companion personas, roleplay personas, prompt packs, and style bundles. Use when creating a persona product from scratch, converting rough prompt notes into a structured pack, generating deliverables like SYSTEM_PROMPT.md/config.json/examples, or preparing a persona pack for sale or internal reuse. Best for prompt products and persona bundles, not for impersonating real people.
version
1.0.0
metadata
openclaw
emoji
🎭
homepage
https://github.com/xiaonizhou-crypto/persona-pack-builder

Persona Pack Builder

Build persona products as prompt packs first. Treat this skill as a product-packaging workflow for personality/style bundles, not as a real-person cloning workflow.

Output goal

Produce a reusable folder that usually contains:

  • README.md
  • SYSTEM_PROMPT.md
  • PERSONA_CORE.md
  • config.json
  • examples/short_replies.md
  • examples/conversations.md
  • optional modes/*.md
  • optional SALES_COPY.md
  • optional FAQ.md

If the user only needs a lightweight deliverable, collapse this to a single persona.md plus examples.md.

Workflow

1. Classify the product

Identify which product is being built:

  • Prompt pack: reusable persona for end users across AI platforms
  • Persona system: pack with multiple modes, JSON config, and examples
  • Builder kit: reusable templates for generating many persona products
  • OpenClaw skill candidate: only when the user explicitly wants an OpenClaw-installable workflow

Default to prompt pack unless the user clearly asks for a skill, installer, or agent workflow.

2. Extract the persona shape

Define these before writing files:

  • positioning: what the persona feels like
  • relationship: friend / lover / coach / creator / etc.
  • tone: direct / soft / playful / cool / mature / etc.
  • boundaries: what it must not do
  • formats: which platforms or prompt slots it must fit
  • monetization tier: lite / standard / pro / custom

When source material references a real person, abstract it into public-trait language. Do not claim identity, ownership, or exact replication of a real person.

3. Create the core files

Write the files in this order:

  1. SYSTEM_PROMPT.md — concise, model-facing instructions
  2. PERSONA_CORE.md — expanded human-facing spec
  3. examples/*.md — short replies and multi-turn examples
  4. config.json — structured representation for products/apps
  5. README.md — buyer/operator instructions
  6. optional modes/*.md, SALES_COPY.md, FAQ.md

Prefer fewer stronger examples over large amounts of repetitive filler.

4. Keep the pack sellable

Optimize for:

  • clear emotional effect
  • consistent tone
  • low cringe / low oiliness
  • platform portability
  • easy customization

The buyer should be able to answer:

  • What feeling does this persona create?
  • Where do I paste it?
  • How do I tune it?
  • What makes it different from random prompts online?

5. Package for the right audience

If the buyer is a normal AI user, deliver a prompt pack.

If the buyer is an advanced OpenClaw user, optionally also create:

  • a skill folder with this workflow
  • templates under assets/
  • references under references/

Do not force persona content itself into a skill unless the user specifically wants agent-side automation.

Writing rules

  • Use short, concrete language
  • Keep the system prompt tighter than the human docs
  • Keep examples natural; avoid repetitive catchphrases
  • Avoid obvious customer-support phrasing
  • Avoid direct celebrity impersonation or “I am X” framing
  • Prefer style abstractions such as “top-star energy”, “direct but warm”, or “protective but restrained”

File guidance

SYSTEM_PROMPT.md

Include:

  • role and tone
  • interaction rules
  • forbidden styles
  • response priorities

Keep it compact enough to fit platforms with smaller system fields when possible.

PERSONA_CORE.md

Include:

  • positioning
  • traits
  • relationship dynamic
  • language style
  • emotional logic
  • naming/calling style
  • dos and don'ts

examples/

Include at least:

  • 15-30 short replies
  • 5-10 multi-turn dialogues

Cover likely emotional states and product-selling moments.

config.json

Represent:

  • name/version
  • traits
  • speech style
  • modes
  • boundaries
  • optional tuning knobs

README.md

Explain:

  • what the pack is
  • who it is for
  • included files
  • how to use it
  • what not to claim publicly

Decision rule: prompt pack vs skill

Choose prompt pack when the user wants to sell or use a persona directly.

Choose skill when the user wants an OpenClaw workflow that repeatedly generates persona packs, audits them, or standardizes packaging.

If both are useful, build the prompt pack first and the skill second.

Bundled resources

assets/templates/

Use the templates in assets/templates/ when the user wants a ready-made deliverable set. They provide a starter pack for:

  • README.md
  • SYSTEM_PROMPT.md
  • PERSONA_CORE.md
  • config.json
  • examples/short_replies.md
  • examples/conversations.md
  • SALES_COPY.md

Copy and customize them instead of rewriting the same scaffolding from scratch.

scripts/

Use scripts/generate_persona_pack.py to generate a starter persona-product folder from templates.

Example:

python3 scripts/generate_persona_pack.py --output /tmp/my-pack

To override defaults, create a JSON file with replacement keys and pass:

python3 scripts/generate_persona_pack.py --output /tmp/my-pack --values values.json

Use the script when speed and packaging consistency matter more than bespoke wording.

References

  • Read references/persona-product-blueprint.md for a compact packaging blueprint.
  • Read references/safety-positioning.md when the request is inspired by a public figure or risks identity confusion.
  • Read references/openclaw-skill-variant.md when converting the persona-product workflow into an installable OpenClaw skill.

平台分布

OpenClaw

84.97%
按下载量换算1,727

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

需要联网

该 Skill 可能需要联网访问来源站点、仓库或外部 API;具体网络访问范围需要结合源码和 README 复核。

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。目前只有一个公开来源,建议同时核对源仓库。

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