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persona-pack-builder角色包构建器

Agent Skill

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。

总安装

6,477

周安装

262

GitHub Stars

1

下载量

2,033
OpenClaw

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

MIT-0

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: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

简介

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。

SKILL.md

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.

适合场景

01

OpenClaw 用户查找和安装 Skill 时

02

用户想查找某类 Agent Skill 时

03

需要根据任务场景推荐可安装能力包时

04

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

补充不同宿主或平台的使用分布数据

能力 5

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

OpenClaw

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按下载量换算1,727

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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

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