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在 OpenClaw 中安装
/install gaming-backlog-guide
功能描述
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 sta...
使用说明 (SKILL.md)
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
- Read mood, energy, time, platform, and budget signals.
- Infer the kind of experience the user actually needs right now.
- Recommend 2 to 3 game directions, not a random pile of titles.
- Separate a play-now option, a weekend option, and one type to avoid for now.
- 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.
安全使用建议
This skill appears coherent and limited to local text processing and recommendation generation. Before installing or granting autonomous invocation, you may want to: 1) quickly scan the full handler.py for any networking (requests, urllib, sockets), subprocess/os.exec calls, or file system writes outside the skill folder; 2) run the provided tests in a sandboxed environment to confirm behavior; and 3) avoid enabling always:true or giving unrelated credentials (not required here). If you see network calls or unexpected file access in the rest of the file, reconsider or sandbox usage.
功能分析
Type: OpenClaw Skill
Name: gaming-backlog-guide
Version: 1.0.0
The gaming-backlog-guide skill is a recommendation tool that suggests game types based on user mood and available time. The logic in handler.py is entirely self-contained, using keyword scoring and predefined profiles to generate text responses without any network access, file system modifications, or sensitive data retrieval.
能力标签
能力评估
Purpose & Capability
Name/description (help choose games given mood/time/energy) matches the code and SKILL.md: the handler scores profiles and builds textual recommendations. No unexpected credentials, binaries, or unrelated platform integrations are requested.
Instruction Scope
SKILL.md is dialogue-focused and explicitly says it does not fetch live store or pricing data. The handler reads only the skill's local SKILL.md and user input, parses and scores it, and formats textual recommendations; there are no instructions to read system-wide config, shell history, or transmit data externally in the visible code.
Install Mechanism
No install spec is present (instruction-only install), and included code files are pure Python with no install step. This is the lowest-risk model for skills with local logic.
Credentials
The skill requests no environment variables, no credentials, and no config paths. The code only opens the local SKILL.md and uses standard libraries (json, os, re), which is proportional to its purpose.
Persistence & Privilege
always:false and default autonomous invocation are appropriate for a dialog skill. The code does not request persistent presence, nor does it modify other skills or system-wide settings in the visible portions.
如何使用
- 确保已安装 OpenClaw（本地或 Docker 部署）
- 在对话框中输入安装命令：
/install gaming-backlog-guide - 安装完成后，直接呼叫该 Skill 的名称或使用
/gaming-backlog-guide触发 - 根据 Skill 的参数说明提供必要输入，即可获得结构化输出
版本历史
v1.0.0
Initial release of Gaming Backlog Guide.
- Helps match your current mood, time, platform, and energy to the right kind of gaming experience.
- Suggests specific directions to play now, for the weekend, and one type to avoid for now.
- Provides a low-friction recommendation for the easiest way to get started.
- Focuses on fit and reducing choice paralysis—no live news, prices, or review data included.
- Designed for solo, family, or reward-based play planning with a plain, dialogue-based workflow.
元数据
常见问题
Gaming Backlog Guide 是什么？
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 sta... 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 81 次。
如何安装 Gaming Backlog Guide？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install gaming-backlog-guide」即可一键安装，无需额外配置。
Gaming Backlog Guide 是免费的吗？
是的，Gaming Backlog Guide 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Gaming Backlog Guide 支持哪些平台？
Gaming Backlog Guide 跨平台运行，可在任意部署了 OpenClaw / Claude Code 的环境中使用（cross-platform）。
谁开发了 Gaming Backlog Guide？
由 haidong（@harrylabsj）开发并维护，当前版本 v1.0.0。
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