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expertpack-export专家包导出

Agent Skill

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。它适合让 Agent 生成或审查 React、Next.js、Vue、Tailwind、CSS 等相关代码,整理组件结构,或定位布局和性能问题。使用时需要结合项目现有设计系统、路由和构建方式,避免只生成孤立片段;涉及页面改动时,应配合本地预览和构建检查确认视觉效果。

总安装

9,235

周安装

370

GitHub Stars

1

下载量

2,990
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:expertpack-export(专家包导出)
来源仓库:https://github.com/brianhearn/expertpack-export
安装命令:
openclaw skills install expertpack-export
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 expertpack-export

简介

用于辅助前端页面、组件、样式和交互逻辑的开发与维护。

  • 适用于将 OpenClaw 实例知识导出为结构化 ExpertPack。
  • 通过 clawhub 安装并使用 openclaw skills install 命令调用。
  • 需结合项目设计系统与构建方式使用,注意权限与维护状态。
  • expertpack-export 属于研究检索类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

name
expertpack-export
description
Export an OpenClaw instance's accumulated knowledge into a structured ExpertPack composite. Use when backing up an agent's identity, exporting for migration, or creating a portable knowledge snapshot. Handles auto-discovery (scanning workspace state to identify constituent packs), distillation (compressing raw state into structured EP files), and packaging (writing EP-compliant packs + composite manifest). Output is Obsidian-compatible — includes YAML frontmatter on all content files and can be opened as an Obsidian vault. NOT for importing/hydrating from an existing EP.
metadata
openclaw
homepage
https://expertpack.ai
requires
bins

ExpertPack Export

Part of the ExpertPack framework — a structured, portable knowledge format for AI agents.

Export an OpenClaw instance into a composite ExpertPack — an agent pack (subtype: agent) as the voice, plus person/product/process packs as knowledge constituents.

Learn more: expertpack.ai · GitHub · Schema docs

Prerequisites

  • Read references/schemas-summary.md for the EP schema rules this export must follow.
  • The export writes to a target directory (default: {workspace}/export/). It does NOT modify the agent's live workspace files.

Export Flow

1. Scan

Run scripts/scan.py to inventory the workspace. It outputs a JSON manifest of discovered files, their categories, and proposed pack assignments.

python3 {skill_dir}/scripts/scan.py --workspace /root/.openclaw/workspace --output /tmp/ep-scan.json

Review the scan output. It proposes:

  • Which files map to which pack type (agent, person, product, process)
  • Which knowledge domains were detected
  • Confidence scores for ambiguous classifications

2. Propose

Present the proposed composite to the user:

  • List each proposed pack with type, slug, and key content sources
  • Flag ambiguous classifications for user decision
  • Note any gaps (e.g., "No process packs detected — skip or create stubs?")

Wait for user confirmation before proceeding.

3. Distill

Run scripts/distill.py for each proposed pack. It reads source files, extracts knowledge, deduplicates, and writes EP-compliant output.

python3 {skill_dir}/scripts/distill.py \
  --scan /tmp/ep-scan.json \
  --pack agent:easybot \
  --output /root/.openclaw/workspace/export/packs/easybot/

Repeat for each pack. The script:

  • Reads source files listed in the scan manifest
  • Extracts and classifies knowledge assertions
  • Deduplicates (prefers newest for conflicts)
  • Writes structured .md files with proper headers and frontmatter
  • Writes manifest.yaml per pack
  • Strips secrets (API keys, tokens, passwords) automatically

4. Compose

Run scripts/compose.py to generate the composite manifest and overview.

python3 {skill_dir}/scripts/compose.py \
  --scan /tmp/ep-scan.json \
  --export-dir /root/.openclaw/workspace/export/

5. Validate

Run scripts/validate.py to check the export against schema rules.

python3 {skill_dir}/scripts/validate.py --export-dir /root/.openclaw/workspace/export/

It checks:

  • All required files exist per schema
  • manifest.yaml fields are valid
  • No secrets leaked (scans for API key patterns)
  • File sizes within guidelines
  • Cross-references resolve

6. Review & Ship

Present the validation report and a summary of what was exported. The user decides whether to commit/push or adjust.

Important Rules

  • Never include secrets. The scan and distill scripts strip known patterns, but always review operational/tools.md and operational/infrastructure.md manually.
  • Distill, don't copy. Raw journal entries and session states should be compressed into structured knowledge. The export should be 10-20% the volume of raw state.
  • Respect privacy. Flag personal information about the user for access tier review. Default user-specific content to private access.
  • Preserve provenance. Each distilled file should note its source files in frontmatter.
  • Don't modify the live workspace. All output goes to the export directory.

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

88.26%
按下载量换算2,639

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

权限和风险

敏感数据

该 Skill 可能接触密钥、Token、环境变量或敏感配置,应进入高风险复核队列,默认不自动发布。

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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