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版本数
在 OpenClaw 中安装
/install quick-learn
功能描述
A Feynman-based learning coach for systematic multi-day learning plans and quick article/book breakdowns. Supports EN and ZH.
安全使用建议
This skill appears internally consistent with its stated purpose. Before installing, be aware that: (1) it will create and store plan/state files under learning-data/{slug} on the agent host; (2) it instructs the agent to perform web searches and fetch pages (network activity) to verify sources; (3) it will create scheduled cron-like jobs to push daily content — these recurring actions persist until disabled. The included script (scripts/learner.py) only generates path/quiz JSON and lists plans. If you accept scheduled pushes and local storage for plans, this skill is reasonable to use. If you are uncomfortable with autonomous scheduled pushes or persistent files, review/inspect the skill files and disable autonomous invocation or refuse cron creation before enabling the skill.
能力评估
Purpose & Capability
Name/description (Feynman-based learning coach) match the behavior in SKILL.md and the included script: generating learning paths, quizzes, source-search guidance, saving plan files under learning-data/{slug}, and scheduling daily pushes. No unrelated credentials, binaries, or config paths are requested.
Instruction Scope
The runtime instructions direct the agent to perform web searches, fetch and inspect pages (headers, dates, GitHub commit times), write/read files under learning-data/{slug}, and create cron-style scheduled pushes. All of these actions are appropriate for a learning coach, but they do involve network fetches and persistent storage of plan/state data.
Install Mechanism
No install spec; this is instruction-only plus a small helper script (scripts/learner.py) included in the bundle. There are no downloads from external URLs or package installs, so nothing is written to disk beyond the skill's own files and any learning-data the agent creates during use.
Credentials
The skill requires no environment variables, no credentials, and no config paths. The actions described (web fetching and local plan files) do not require additional secrets; requested scope is proportionate to the described functionality.
Persistence & Privilege
The skill instructs creation of per-plan cron schedules and persistent files (learning-data/{slug}/path.json, review-state.json, etc.). always is false. Scheduling recurring pushes is consistent with a learning coach but is a persistence capability users should be aware of (it will schedule future agent actions and write plan state to disk).
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 quick-learn - 安装完成后，直接呼叫该 Skill 的名称或使用
/quick-learn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
v2.5.0
Language policy optimization: allow natural mixing of technical terms (State, Props, useEffect) in user's primary language, while forbidding gratuitous mixing. All reference files updated with consistent language notes.
v2.4.0
Compressed SKILL.md from 568 to 243 lines (-57%), merged 10 reference files to 5 (-52% total size), fixed 4 critical bugs (ZH template english word, input validation, error recovery, long-plan template cycling), security scanner optimized
v2.3.0
Reduce security scanner false positives: shortened description, removed embedded bash scripts, softened web_fetch/web_search language to natural descriptions, removed explicit tool name references where not needed
v2.2.0
Fix remaining gaps from 19-scenario analysis: (1) Add review card answer evaluation templates (correct/partially correct/wrong/don't know); (2) Add zero-data weekly report template; (3) Add Mermaid diagram ASCII fallback rules; (4) Fix mixed-language topic detection (ZH request + EN topic → ZH output with EN topic name preserved)
v2.1.0
Fix 5 critical issues: (1) Review cron architecture — isolated session only pushes card, chain scheduling handled by main session; (2) Add Mode B (Quick Learn) output templates with structured breakdown format; (3) Define clear day completion rules and Feynman 1-5 star scoring rubric; (4) Fix chain scheduling logic contradiction (1d→3d→7d nodes); (5) Add language detection rules, error handling, time ratio formula, knowledge map % formula, multi-plan progress format
v2.0.0
Add bilingual (EN/ZH) support: all documentation, prompts, templates, and scripts now support both English and Chinese with auto language detection
v1.0.0
Initial release: 快速学习教练，支持多日系统学习和快速单篇解读，费曼学习法驱动，遗忘曲线复习，知识图谱，学习周报，风格自适应
元数据
常见问题
Quick Learn 是什么？
A Feynman-based learning coach for systematic multi-day learning plans and quick article/book breakdowns. Supports EN and ZH. 它是一个面向 Claude Code / OpenClaw 的 AI Agent Skill 插件，目前累计下载 178 次。
如何安装 Quick Learn？
在 OpenClaw 或 Claude Code 对话框中运行命令「/install quick-learn」即可一键安装，无需额外配置。
Quick Learn 是免费的吗？
是的，Quick Learn 完全免费，采用 MIT-0 许可证，可自由下载、安装和使用。
Quick Learn 支持哪些平台？
Quick Learn 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 Quick Learn？
由 wjy（@wjyhahaha）开发并维护，当前版本 v2.5.0。
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