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weclone-twin-reply我们克隆双胞胎回复

Agent Skill

weclone-twin-reply 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

6,888

周安装

287

GitHub Stars

1

下载量

2,296
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:weclone-twin-reply(我们克隆双胞胎回复)
来源仓库:https://github.com/xming521/weclone-twin-reply
安装命令:
openclaw skills install weclone-twin-reply
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 weclone-twin-reply

简介

根据角色设定与对话上下文生成审查门控的AI回复。

  • 支持模仿特定用户风格并保持一致性表达。
  • 适用于客服、教育或个性化交互场景。weclone-twin-reply 属于效率类 Skill,可作为该场景下的辅助能力补充。
  • 需设置内容过滤规则以避免不当输出。
  • 使用前请确认角色示例数据的准确性与版权合规性。

SKILL.md

name
weclone-twin-reply
description
Build a review-gated digital twin reply from persona markdown, persona examples, and live conversation context. Use when you need to imitate a specific user's chat style, draft a reply on the user's behalf, or generate a persona-consistent message candidate from an existing persona pack.
version
0.1.0
emoji
✍️
homepage
https://github.com/xming521/WeClone-Skill
metadata
openclaw
requires
bins

WeClone Twin Reply

Assemble an isolated prompt package that lets a separate model imitate one user's messaging style, personality, values, and worldview from markdown persona files and persona examples. Draft first, review second, send last.

Expected Inputs

  • A prepared persona directory. Default to ai_twin/ at the repo root, containing profile.md, persona_examples.md, guardrails.md, and optional state.md.
  • Runtime context: one short scene summary and one dialogue window.
  • Explicit approval from the user before any outbound send.

If the persona directory does not exist yet, use $weclone-init-twin first to scaffold the default ai_twin/ directory, then ask the user to fill the generated templates before drafting.

Core Workflow

  1. Confirm that the persona pack already exists.

If profile.md, persona_examples.md, or guardrails.md are missing, stop and hand off to $weclone-init-twin. Confirm that the persona files are filled with real content rather than placeholders.

  1. Gather the minimum high-signal context.

Include who the other person is, what the current situation is, and the recent messages that the reply must answer. Before drafting, determine whether the available context is sufficient to answer faithfully and safely. If key facts are missing or the likely reply would change materially depending on missing context, stop and ask the user whether to collect more information before proceeding. Write that context into two runtime files: - scene.md: a short summary of background facts that are necessary for the reply but may not be obvious from the raw chat. Include who the other person is, the relationship, the current situation, the platform or app where the reply will be sent, the user's likely goal or constraint, and any reply-specific caution such as "do not commit yet". - dialogue.md: the active message window, usually the recent turns that the candidate reply is directly answering. Keep the original wording and speaker attribution when possible. Use scene.md for distilled context and dialogue.md for raw conversation. Do not dump the entire chat history into scene.md.

  1. Render the prompt package.

Run python3 skills/weclone-twin-reply/scripts/render_clone_prompt.py --scene <scene.md> --dialogue <dialogue.md> [--extra-context <file>]. By default it reads persona files from ai_twin/; pass --persona-dir <dir> only when overriding that location. The script injects scene.md into the Runtime Scene section of the final prompt and dialogue.md into Active Dialogue. Treat the rendered prompt as the entire allowed context for that generation.

  1. Return a reviewable draft.

Show the user the candidate reply plus risk flags. Do not send on the user's behalf yet.

  1. Send only after explicit approval.

If the user edits or rejects the draft, revise it and repeat the review step.

Execution Rules

  • Keep the clone run isolated.

Use a separate model call or isolated agent run that receives only the rendered clone prompt. Do not mix in unrelated notes, hidden scratchpad, or other task memory from the current thread.

  • Load persona files intentionally.

Use profile.md for stable identity, personality, values, worldview, and decision logic; state.md for recent status and goals; persona_examples.md for style imitation plus behavioral evidence; and guardrails.md for hard limits. Load extra *.md files in the persona directory only when they materially improve the reply.

Guardrails

  • Treat guardrails.md as the persona pack's source of truth for hard limits.
  • The renderer template adds runtime guardrails for promises, privacy, reputation, ambiguity, and reviewer handoff.
  • If the request is close to the boundary, bias toward a shorter, safer draft and stop at draft stage unless a human review step is guaranteed.
  • If the available context is not enough for a defensible draft, do not fill the gaps by guesswork. Ask whether to gather more information first.

Files And Resources

  • assets/clone_prompt_template.md: single source of truth for the isolated clone prompt seen by the downstream model.
  • scripts/render_clone_prompt.py: compile persona files and runtime context into the template, reading ai_twin/ by default.

Runtime Context Format

Use a short scene.md like:

# Scene

Other person: former coworker, familiar but not close lately.
Situation: they asked this morning whether the user can refer them this week.
Platform: WeChat private chat.
User goal: stay polite and leave room without making a commitment.
Reply caution: do not promise a referral or a timeline.

Use a short dialogue.md like:

# Dialogue

Them: Hey, are you free to refer me for the role we talked about?
User: I saw your message just now.
Them: No rush, but they are moving quickly this week.

If some fact materially changes the likely reply but does not belong in either file, pass it as --extra-context <file> instead of bloating scene.md.

Output Contract

Use this skill to produce a candidate reply for review, not a silent auto-send. The exact handoff structure is defined in assets/clone_prompt_template.md.

If the user asks to automate sending, keep the approval gate in place and make the send step conditional on explicit confirmation.

适合场景

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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

79.5%
按下载量换算1,825

安全审计

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通过

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权限和风险

需要联网

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安装前确认

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