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new-player-package-800新玩家礼包 800

Agent Skill

new-player-package-800 用于查找、检索和筛选相关信息,适合在 OpenClaw 中需要根据关键词、任务场景或来源线索快速定位候选结果时使用。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

12,362

周安装

505

GitHub Stars

公开资料未说明

下载量

4,321
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:new-player-package-800(新玩家礼包 800)
来源仓库:https://github.com/yangdaowan/new-player-package-800
安装命令:
openclaw skills install new-player-package-800
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 new-player-package-800

简介

new-player-package-800 基于实战经验总结的 OpenClaw 部署优化指南。

  • 适用于新用户快速完成技能安装与环境配置。
  • 涵盖常见问题规避与性能调优建议。new-player-package-800 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用前应评估自身网络与硬件条件是否符合推荐标准。
  • 建议逐步实施各项措施,观察效果后再深入调整。

SKILL.md

name
new-player-package-800
description
OpenClaw deployment optimization guide based on 800 RMB (100 USD) of real-world experience. Helps new users quickly complete skill installation, configuration optimization, and system tuning to solve common deployment issues.
metadata

New Player Package 800 - OpenClaw Deployment Optimization Guide

💰 Background Story

This is a valuable lesson learned by a "poor developer" who spent 800 RMB (approximately 100 USD) on real-world OpenClaw deployment and debugging. This comprehensive optimization guide helps new users avoid common pitfalls and get started quickly.

🎯 Core Problems Solved

  • Missing Skills: New OpenClaw installations have limited functionality and need key skills installed
  • Complex Configuration: Authentication, security, and plugin configuration are error-prone
  • Incomplete Features: Missing core capabilities like documentation search, filesystem operations, and knowledge management
  • Lack of Monitoring: Unable to view token consumption and session status
  • Task Interruption: Gateway restarts cause task loss with no recovery mechanism
  • Vector Search: Missing semantic search and knowledge organization capabilities

📋 Complete Optimization Checklist

Phase 1: Essential Skill Installation

  1. clawhub - Official skill repository manager

- Function: Search, install, update, and publish skills - Command: clawhub install <skill-name>

  1. Find Skills - Skill recommendation assistant

- Function: Automatically recommend suitable skills based on needs - Solves: Not knowing which skills to install

  1. skill-creator - Skill creation toolkit

- Function: Create and package custom skills - Use: Extend OpenClaw functionality

  1. clawddocs - Official documentation retrieval

- Function: Quickly find OpenClaw configuration details and best practices - Solves: Documentation lookup difficulties

  1. openclaw-anything - System management operations

- Function: Execute official OpenClaw management and deployment operations - Use: System maintenance and configuration management

  1. clawdbot-filesystem - Advanced filesystem operations

- Function: Batch renaming, directory analysis, file search, content extraction - Solves: Complex file operation requirements

  1. Ontology - Knowledge graph construction

- Function: Relationship and structure organization, vector semantic search, relationship analysis - Use: Knowledge management and intelligent retrieval

Phase 2: Enhanced Features

  1. session-monitor - Session status monitoring ⭐

- Function: Automatically display token consumption, model info, context usage rate - Command: /token on|off to toggle - Format: [🧠 qwen3-max | 📥123k/📤420 | Context: 47%]

  1. task-persistence - Task persistence ⭐

- Function: Task continuation, state snapshots, gateway restart notifications - Solves: Task loss and no feedback after restarts - Features: Auto-recover incomplete tasks, proactive restart status notifications

Phase 3: System Optimization

  1. Vector Search Configuration

- Enable memory-core plugin - Configure embedding models and vector database - Implement semantic search functionality

  1. Security Hardening

- Fix gateway authentication token mismatch - Disable insecure HTTP authentication - Set plugin allow list

  1. Performance Optimization

- Configure context compression strategy - Optimize memory usage - Set reasonable session timeouts

🛠️ One-Click Optimization Script

# Install all required CLI tools
npm install -g clawhub uv

# Clone and install core skills
mkdir -p ~/.openclaw/skills
cd ~/.openclaw/skills

# Install official skills
clawhub install clawhub find-skills skill-creator clawddocs openclaw-anything clawdbot-filesystem ontology

# Install enhanced skills  
clawhub install session-monitor task-persistence

# Configure vector search
mkdir -p ~/.openclaw/memory
# Enable memory-core plugin in openclaw.json

# Apply security configuration
# Fix gateway.auth.token and gateway.remote.token consistency

🔧 Common Problem Solutions

Issue 1: Gateway token mismatch

Symptom: unauthorized: gateway token mismatch Solution:

{
  "gateway": {
    "auth": {
      "token": "your-consistent-token"
    }
  }
}

Set environment variable: export OPENCLAW_GATEWAY_TOKEN="your-consistent-token"

Issue 2: Skills show as missing

Cause: Required tools not installed or environment variables not set Solution:

  • Install Python 3.8+
  • Install uv or pip
  • Set OPENCLAW_WORKSPACE environment variable

Issue 3: Context full (100%)

Symptom: Cannot load new skills, slow responses Solution:

  • Enable context compression: agents.defaults.compaction.mode = "safeguard"
  • Start new session
  • Use /status to monitor token usage

Issue 4: No feedback after gateway restart

Solution: Enable task-persistence skill

  • Automatically monitor gateway status
  • Proactively send status reports after restart
  • Restore incomplete tasks

📊 Verification Checklist

✅ All 9 core skills installed and enabled ✅ session-monitor displays token information ✅ task-persistence monitors gateway status ✅ Vector search configured and working ✅ Security configuration applied ✅ Performance optimization implemented

💡 Best Practices

  1. Regular Updates: clawhub update --all
  2. Resource Monitoring: Use /status to check token usage
  3. Configuration Backup: Regularly backup openclaw.json
  4. Feature Testing: Test key features after each configuration change
  5. Experience Documentation: Record problems and solutions in MEMORY.md

🎁 Value Summary

This "New Player Package 800" includes:

  • 7 core functional skills: Extend OpenClaw's basic capabilities
  • 2 enhanced monitoring skills: Solve visibility and task persistence issues
  • Complete configuration templates: Avoid security and performance pitfalls
  • Real-world problem solutions: Based on actual deployment experience
  • One-click optimization script: Quickly complete all configurations

Helps new users complete in 30 minutes what would normally take days, achieving a truly "out-of-the-box" experience.

📚 Related Skills

  • clawhub: Skill management
  • find-skills: Skill discovery
  • session-monitor: Status monitoring
  • task-persistence: Task persistence
  • ontology: Knowledge management
  • healthcheck: Security auditing

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

77.2%
按下载量换算3,336

安全审计

VirusTotal

可疑

ClawScan

可疑

Static analysis

未展示

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。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。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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