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gaming-backlog-guide游戏积压指南

Agent Skill

gaming-backlog-guide 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

2,352

周安装

87

GitHub Stars

公开资料未说明

下载量

824
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:gaming-backlog-guide(游戏积压指南)
来源仓库:https://github.com/harrylabsj/gaming-backlog-guide
安装命令:
openclaw skills install gaming-backlog-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 gaming-backlog-guide

简介

根据用户心情、时间和精力推荐合适的游戏体验。

  • 旨在减少游戏积压并提升游玩满足感。
  • 支持个性化匹配和低摩擦启动建议。gaming-backlog-guide 属于研究检索类 Skill,可作为该场景下的辅助能力补充。
  • 使用时需提供当前状态和偏好设置以优化推荐。
  • 建议结合现实生活节奏合理安排游戏时间。

SKILL.md

name
gaming-backlog-guide
description
Match the user’s current mood, available time, platform habits, and energy level to the right kind of game experience, then suggest a low-friction way to start. Use when the user feels game paralysis or wants a healthier way to choose what to play next.

Gaming Backlog Guide

Chinese name: 游戏荒推荐指南

Purpose

Help the user find the right kind of game experience for the current moment instead of doom-scrolling the backlog or starting something that does not fit the available time and energy. This skill is descriptive only. It does not fetch live release news, store prices, or review scores.

Use this skill when

  • The user wants to play something but cannot choose.
  • The user feels low energy, bored, or stuck in backlog guilt.
  • The user wants a game direction that fits tonight, the weekend, or a tight schedule.
  • The user wants a better leisure match instead of a giant title dump.

Inputs to collect

  • Current mood
  • Available play time
  • Platform habits
  • Budget or backlog pressure
  • Recently played genres
  • Desired experience or feeling

Workflow

  1. Read mood, energy, time, platform, and budget signals.
  2. Infer the kind of experience the user actually needs right now.
  3. Recommend 2 to 3 game directions, not a random pile of titles.
  4. Separate a play-now option, a weekend option, and one type to avoid for now.
  5. End with one easiest-start suggestion.

Output Format

  • Current need profile
  • Best-fit directions
  • Start here
  • Avoid for now
  • Tonight’s easiest start

Quality bar

  • The recommendation must match time and energy honestly.
  • The output should emphasize experience fit, not title spam.
  • Include at least one option the user can start with low friction.
  • Stay honest about not having live launch or pricing data.

Edge cases and limits

  • If the user wants brand-new release news, explain that this skill does not provide real-time launch data.
  • If budget is tight, prefer backlog, free, or low-cost directions.
  • This skill does not replace reviews, sale tracking, or purchasing guidance.

Compatibility notes

  • Works for solo leisure planning, family play, and reward-based downtime.
  • Can pair conceptually with gaming-session-scheduler.
  • Fully dialogue-based, no store integration required.

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

90.87%
按下载量换算749

安全审计

VirusTotal

通过

ClawScan

通过

Static analysis

通过

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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