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ljg-explain

"Explains concepts, formulas, mechanisms, and principles until they can be recognized, derived, and transferred: connecting specific scenarios, criteria for judgment, operational processes, and underlying conditions using plain Chinese. USE WHEN the user invokes ljg-explain, asks to 'explain in simple terms,' 'thoroughly explain this concept or formula,' 'Feynman technique explanation,' 'ELI5,' or wants to understand a knowledge point from scratch and apply it to new contexts. NOT FOR pure polishing or translation, full-text reading accompaniment, entire book or paper breakdowns, or requests strictly asking for formal proofs or operational steps."

L1 Basic · Source registration onlyV1 Commit-PinnedDual-pass Audit
Author lijigangGitHub lijigang/ljg-skills ↗License MIT(仓库根 LICENSE)Commit 9e75497a95
Control levels describe skill capabilities and suggested control measures; they do not represent quality or safety certifications, nor do they dictate usability. Usage decisions rest entirely with users and administrators. Different agent hosts apply varying constraints; do not assume hosts provide automatic protection. Third-party skill copyrights belong to their original authors. Use at your own risk.

1How It Works & Mechanism

The completion standard requires clarity on five things: knowing why it is needed, being able to recognize it, being able to explain the outcome, being able to adjust judgments as conditions change, and being able to transfer it; the material is interwoven into a single narrative thread.

skills/ljg-explain/SKILL.md
1. **知道为什么需要它。** 从一个真实疑惑或具体问题接到核心定义,说明它属于什么、解决什么问题。
What this is doing: replacing fixed template sections with five comprehension criteria to evaluate whether the explanation has truly hit the mark.

Audience and delivery: default to explaining for an adult with everyday life experience but lacking specialized expertise; explain directly whenever the meaning is reasonably clear without pausing to fill out a background questionnaire.

skills/ljg-explain/SKILL.md
能合理确定含义就直接讲;只有不同解释会改变讲解对象时才澄清,不能为了填写背景表而中断。
What this is doing: minimizing clarification costs and preventing background surveys from disrupting the flow of the explanation.

Default to a single complete output in the conversation, concluding naturally where the explanation wraps up, without appending self-test questions or reference answers; only split into multiple rounds when the user explicitly requests interaction.

skills/ljg-explain/SKILL.md
默认一次完整输出到对话,在讲解自然收束处结束,不在结尾追加自测题或参考答案
What this is doing: defining the delivery format: a standalone piece in a single pass that ends cleanly at the conclusion.

Formulas and principles: map symbols to concrete objects, quantities, and units; clarify what inputs enter the formula, what is computed, and explain why operations are combined in this way.

skills/ljg-explain/SKILL.md
把符号对应到具体对象、数量与单位,讲清公式输入什么、算出什么。
What this is doing: grounding formulas from abstract symbol strings back into identifiable real-world objects and operational meanings.

Chinese expression: anchor the opening sentence on the core judgment or the user's primary doubt, remove opening pleasantries and writing-process hints, and use familiar short words and tangible objects.

skills/ljg-explain/SKILL.md
第一句落在核心判断或读者真正关心的疑惑上。删去开场白、泛泛背景与写作过程提示。
What this is doing: applying opening and lexical discipline to eliminate translationese and unnecessary padding.

Evidence and formatting: explicitly state assumptions for hypothetical pedagogical examples, cite sources for real data, clearly distinguish facts, inferences, simplified models, and unknowns, and faithfully retain gaps.

skills/ljg-explain/SKILL.md
虚构的教学算例显式给出假设;引用真实数据时给来源。
What this is doing: embedding evidential rigor into the explanation to prevent examples from claiming empirical weight they do not possess.

Gotchas: fluency and paraphrasing do not prove understanding; passing content self-checks cannot be used to claim the reader has mastered the topic or to self-rate the explanation '90 out of 100.'

skills/ljg-explain/SKILL.md
检查讲解是否交代新情境下的判断依据、结果推导与条件变化;内容自审通过,也不能声称读者已经学会或给讲解自评「90 分」。
What this is doing: drawing a clear line between self-review and learning validation to prevent false-completion claims.

This skill is self-contained and completes the explanation directly: it does not automatically call another explanation skill, nor does it create notes, flashcards, reminders, or other artifacts for the explanation task.

skills/ljg-explain/SKILL.md
本技能自包含,直接完成讲解;不自动调用另一讲解技能,也不因讲解任务创建笔记、卡片、提醒或其他产物。
What this is doing: constraining skill boundaries and artifacts: delivering only an explanation text body without disk writes or delegation.

2Core Capabilities

01Explain concepts, formulas, mechanisms, and principles until they can be recognized, derived, and transferred
02Feynman-style / ELI5 plain Chinese explanations (corresponding to USE WHEN triggers like 'explain in simple terms,' 'Feynman explanation,' 'ELI5')
03Judgment criteria and contrast of easily confused ideas: prioritize minimal-difference examples that yield contrasting judgments
04Condition changes and transfer testing: modify one key condition to demonstrate how outcomes shift and when the original judgment fails
05Formulas brought to life: mapping symbols to objects and units, running full numerical examples once, and verifying formulas against units, proportions, signs, and rounding
06Discipline in native Chinese expression: core judgment first, short words for tangible objects, and reduction of mechanical conjunctions and translationese
07Self-contained without generating files; follows specified formats and locations only when explicitly requested by the user

4Recommended Governance & Evidence

Suggested Controls for Safe Operation
For Agent Runtime
Can be auto-loaded
For Administrators
Register source and version
Evidence & Triggers (File Paths & Excerpts)
  • SKILL.md: Pure prompt instructions and rule texts; no script execution or external impact
Audit Notes: Evaluation target = this skill directory (skills/ljg-explain/: SKILL.md + agents/openai.yaml). Item-by-item verification: zero scripts, zero network endpoints, zero credential reading, zero disk-write instructions ('default to not writing notes or other files'); §3 risk scan matches 0 across all seven categories. Entire behavior = generating a conversational explanation following a set of comprehension criteria and Chinese expression discipline, thus graded green.

5Second-Pass Verification

  • [ok] 文件构成 — §1 清单仅 SKILL.md 与 agents/openai.yaml,无脚本、无资产、无端点。
  • [ok] 理解标准五条自洽 — 为什么需要/能辨认/能解释结果/能随条件改判断/能迁移五条在正文与 Gotchas 中一致体现。
  • [ok] 交付与文件纪律 — 「默认一次完整输出到对话」「默认不写笔记或其他文件」与自包含声明一致。
  • [ok] agents/openai.yaml 用途 — 仅含 interface 的 display_name/short_description/default_prompt,无额外能力或端点。
  • [ok] 风险扫描复核 — §3 七类(URL/凭证/执行/写盘/网络/危险旗标/沙箱)均 0 命中。
  • [ok] 判级口径 — 纯指令、无本地写入 → 按范式落 green。

6Verdict & Scenarios

  • Uses five comprehension criteria (recognition, derivation, condition changes, and transfer) to turn 'thorough explanation' into verifiable standards rather than a vague claim of 'clarity.'
  • Maintains clear evidential boundaries: separates assumptions, real data, simplified models, and unknowns, explicitly avoiding conflating correlation with causation or fabricating stories for formulas.
  • Implements concrete Chinese writing discipline (core judgment first, short words for tangible objects, removal of translationese), and remains self-contained with no generated files for lightweight delivery.
  • Best for: Users who want to understand a concept, formula, mechanism, or principle from scratch and be able to recognize, derive, and transfer judgments in new scenarios; also well-suited for requests like 'explain in simple terms,' 'Feynman explanation,' and 'ELI5.'
    Not for: Pure text polishing or translation, full-text reading accompaniment, entire book or paper breakdowns, and requests strictly requiring formal proofs or operational steps; scenarios requiring saved notes/flashcards or multi-turn interactive tutoring require explicit user requests before being handled separately.
    Install Agent-Ready
    ① Verified Mirror 2026-10-10
    Option A · Direct DownloadDownload ljg-explain.tar.gz
    sha256: 8dbb7f21ea6322ac…
    Option B · Copy Guide for Agent
    install.json
    Agents automatically download and verify mirrors from this JSON guide.
    ② Upstream GitHub
    GitHub Repo ↗
    Pinned to commit 9e75497a95.