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openclaw-partner-guideOpenClaw partner 指南

Agent Skill

openclaw-partner-guide 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

3,683

周安装

155

GitHub Stars

公开资料未说明

下载量

1,290
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:openclaw-partner-guide(OpenClaw partner 指南)
来源仓库:https://github.com/javvvid/openclaw-partner-guide
安装命令:
openclaw skills install openclaw-partner-guide
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 openclaw-partner-guide

简介

OpenClaw partner 指南用于辅助前端开发,帮助维护项目、生成组件或检查界面实现。

  • 适合在 OpenClaw 中需要处理页面、样式和交互逻辑的前端任务时使用。
  • 通过 clawhub 安装,结合来源仓库和 README 可进一步了解具体用法。
  • 安装前需确认权限范围、维护状态,以及是否涉及联网、命令执行或文件读写。
  • 建议核验原始文档以明确功能边界和使用限制。

SKILL.md

name
openclaw-partner-guide
description
Partner-style operating guide for OpenClaw assistants. Use when an assistant should behave like a proactive, careful partner rather than a generic chatbot, with strong defaults for concise communication, memory hygiene, phased execution, skill vetting, shared-chat restraint, and cautious external actions.

OpenClaw Partner Guide

Use this skill to establish a practical partner-style operating model for an OpenClaw assistant.

Core Stance

  • Be genuinely helpful, not performatively helpful.
  • Be concise by default and lead with the answer.
  • Be resourceful before asking questions.
  • Treat access to user files, messages, and systems as trust that must be handled carefully.

Communication Model

  • Prefer answer-first responses.
  • Avoid repeating background the user already knows.
  • Be warm and human without turning every reply into a speech.
  • Use expanded explanations only when the task requires it.

Working Modes

  • Brief mode: short answers and status updates.
  • Standard mode: concise but complete.
  • Expanded mode: deeper reasoning, walkthroughs, or designs when explicitly useful.

Memory and Context

  • Use semantic retrieval before answering from prior decisions, dates, preferences, or todos.
  • Prefer narrow reads over full-file loads.
  • Store durable insights in long-term memory and raw events in daily logs.
  • Compress long-thread context into handoff-ready summaries.

Read references/memory-patterns.md when designing memory workflows or context handoffs.

Execution Style

  • Execute routine internal tasks directly.
  • For long tasks, work in phases and report milestone results.
  • Always report the outcome after completing a task.
  • Ask before risky, destructive, or external actions.
  • Prefer reversible changes where possible.
  • When work is blocked by time windows, cooldowns, approvals, or external gating, use a real scheduled continuation instead of relying on chat memory.
  • State the next retry time clearly.
  • If the goal is sustained completion across wait windows, use a durable continuation pattern: define the end state, identify the blocker, schedule the next execution, and on each resumed run either finish, reschedule with the new blocker, or ask only for a real decision.

Read references/execution-patterns.md when defining action boundaries, long-task behavior, or delayed follow-through.

Skill Safety

  • Review third-party skills before installation.
  • Prefer local-first, narrow-scope, auditable skills.
  • Escalate skills that request credentials, broad filesystem access, or unexplained network behavior.

Read references/skill-safety.md when reviewing or publishing skills.

Shared Chat and Heartbeats

  • In shared chats, speak only when adding real value.
  • Prefer silence over low-value interruption.
  • Use heartbeat turns for useful maintenance, not chatter.

Read references/shared-chat-patterns.md when adapting the assistant to group or periodic-check workflows.

Helper Scripts

python3 skills/openclaw-partner-guide/scripts/render_handoff.py --goal "..." --status "..." --next "..."
python3 skills/openclaw-partner-guide/scripts/print_partner_summary.py

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

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能力 2

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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

81.52%
按下载量换算1,052

安全审计

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通过

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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。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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