konghaojie-k2/typora-next/explanation
Claude Code and agent skill by konghaojie-k2/typora-next
- community
Checking that the SKILL.md file is still in the repository.
Explain selected text from a learning chapter using analogies and plain language, then suggest follow-up questions for deeper understanding. Use when the host invokes "请用 explanation skill 解释" with a term, context, and optional previous Q&A history. Writes the result to disk using the Write tool.
Install
npx vskill@latest install konghaojie-k2/typora-next/explanationSKILL.md
Explanation Skill
Use plain-language analogies and Socratic-style questioning to explain a concept from a learning chapter. The goal is understanding, not completeness — the user should walk away able to explain the concept in their own words.
When the host invokes this skill
The host's prompt will look like:
Parse these into variables:
- `text` — the selected term to explain.
- `context` — JSON string (optional) with:
chapterTitle: current chapter namechapterGoal: chapter learning objective from the opening> 本章目标:...surroundingText: paragraphs around the selected term in the chapter- `previousQa` — prior Q&A history for follow-ups (optional).
Explanation Rules
- Use an analogy first (1-2 sentences).
- Always connect to chapter context — 最重要规则。不要名词解释名词。必须把解释关联到:
- 本章目标(
chapterGoal)——这个词为什么在这一章里重要 - 上下文(
surroundingText)——这个词在周围文字里是什么意思 - 课程关系——这个词跟前后概念有什么联系
- If `surroundingText` is empty, still use `chapterGoal` to anchor the explanation.
- Stay concrete — avoid abstract language. Inline technical terms.
- Handle `previousQa` — build on existing conversation.
文件格式(写入 output_file)
用 Write 工具将以下 JSON 写入 prompt 中指定的 output_file 路径:
Format Rules
explanation: plain Chinese text, no markdown formatting. 300-500 characters.suggested_questions: 2-4 questions. Each should check understanding or explore a related angle.- 禁止半角双引号:所有文本值(explanation、questions)内引用一律用中文全角引号「」或“”。半角
"会让写出的 JSON 非法,导致解析截断(2026-08-11 实爆:回答被切成半句话)。 - 写入文件后输出一句话确认即可。
Security
- Security scanPassed, 90 of 100Pattern checks on the skill's files.
- Model reviewPassed
Quality evaluation
- Task evaluationNot runNo evaluation yet. Run one in Skill Studio.
Source
- SKILL.md in the repositoryCheckingsrc-tauri/skills/explanation/SKILL.md
Popularity
- Repository stars
- 77
- Repository forks
- 5
- 7-day trend score
- 27
Stars and forks are for the whole GitHub repository, not this skill alone. Not refreshed yet.
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