Explain Usage
asgeirtj/system_prompts_leaks
Explain where this session's tokens went, with one simple chart in plain language.
Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm.
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Install Dongbei Explainer
$ npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install yuema137/DongbeiGPT dongbei-explainer --agent claude-codeProject scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/dongbei-explainer .claude/skills/dongbei-explainer && rm -rf skills-srcUse ~/.claude/skills/ instead of .claude/skills for a personal install. The folder must contain SKILL.md.
Claude Code skills documentation · loads skills from .claude/skills/
Install the "dongbei-explainer" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainer into .claude/skills/dongbei-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dongbei-explainer", then confirm the skill loads.Claude Code copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$skill-installer install https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainerType this inside Codex. $skill-installer <name> installs a curated skill from openai/skills. The installer writes to $CODEX_HOME/skills (default ~/.codex/skills). Restart Codex if the skill does not show up.
$ npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install yuema137/DongbeiGPT dongbei-explainer --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/dongbei-explainer .agents/skills/dongbei-explainer && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "dongbei-explainer" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainer into .agents/skills/dongbei-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dongbei-explainer", then confirm the skill loads.Codex copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install yuema137/DongbeiGPT dongbei-explainer --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/dongbei-explainer .cursor/skills/dongbei-explainer && rm -rf skills-srcUse ~/.cursor/skills/ instead of .cursor/skills for a personal install.
Cursor skills documentation · loads skills from .cursor/skills/, .agents/skills/, .claude/skills/, .codex/skills/
Install the "dongbei-explainer" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainer into .cursor/skills/dongbei-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dongbei-explainer", then confirm the skill loads.Cursor copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gemini skills install https://github.com/yuema137/DongbeiGPT.git --path skills/dongbei-explainer--scope user (default) or --scope workspace; --path is the subfolder of the repo that holds the skill; --consent skips the security confirmation prompt.
$ npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install yuema137/DongbeiGPT dongbei-explainer --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/dongbei-explainer .gemini/skills/dongbei-explainer && rm -rf skills-srcUse ~/.gemini/skills/ instead of .gemini/skills for a personal install, then run /skills reload.
Gemini CLI skills documentation · loads skills from .gemini/skills/, .agents/skills/
Install the "dongbei-explainer" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainer into .gemini/skills/dongbei-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dongbei-explainer", then confirm the skill loads.Gemini CLI copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ gh skill install yuema137/DongbeiGPT dongbei-explainerInstalls for Copilot at project scope by default; add --scope user for a personal install. Preview a skill first with gh skill preview. Needs GitHub CLI 2.90.0 or later (public preview).
$ npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/dongbei-explainer .github/skills/dongbei-explainer && rm -rf skills-srcUse ~/.copilot/skills/ instead of .github/skills for a personal install. Commit .github/skills so cloud agent and code review can use it.
GitHub Copilot skills documentation · loads skills from .github/skills/, .claude/skills/, .agents/skills/
Install the "dongbei-explainer" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainer into .github/skills/dongbei-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dongbei-explainer", then confirm the skill loads.GitHub Copilot copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
$ npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install yuema137/DongbeiGPT dongbei-explainer --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/yuema137/DongbeiGPT.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/dongbei-explainer .opencode/skills/dongbei-explainer && rm -rf skills-srcUse ~/.config/opencode/skills/ instead of .opencode/skills for a personal install.
OpenCode skills documentation · loads skills from .opencode/skills/, .claude/skills/, .agents/skills/
Install the "dongbei-explainer" agent skill from https://github.com/yuema137/DongbeiGPT/tree/main/skills/dongbei-explainer into .opencode/skills/dongbei-explainer/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "dongbei-explainer", then confirm the skill loads.OpenCode copies the folder itself, the same result as the manual copy. Check what it changed before you commit it.
Facts
- Skill name
dongbei-explainer- GitHub stars
- 100
- Token cost
- ~1.1k tokens
- SKILL.md length
- 528 words
- Files
- 2 (incl. references)
- Skills in repo
- 5
- Repo updated
- First seen
- Licence
- MIT
At a glance
Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm.
- Works in 4 steps: Build the semantic explanation using… → Reduce prose burden and apply… → Add one worked trace with… → …
- Understanding is the main request
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
- Including 解释一下/给我讲讲/帮我理解/科普一下
What it does
Dongbei Explainer is an agent skill from yuema137/DongbeiGPT. Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm. Use when understanding is the main request, including “解释一下/给我讲讲/帮我理解/科普一下”, “说清楚/说明白/讲清楚/讲明白/理清楚”, “仔细讲讲/好好讲讲/详细讲讲/展开讲讲/从头讲/一步一步讲/捋一遍/讲透”, “通俗点/简单点/大白话/深入浅出/别绕/别堆术语”, or confusion such as “没听懂/看不懂/没看明白/不太明白/有点懵/这到底怎么回事/啥意思”. Treat equivalent wording as the same intent. Apply the style only to conversational explanations…
Its SKILL.md is about 1.1k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/few-shot-examples.md`).
The repository describes itself as: Explain tech and coding problems in clear, plan language. The licence is MIT.
When your agent uses it
- Understanding is the main request
- Including 解释一下/给我讲讲/帮我理解/科普一下
- 说清楚/说明白/讲清楚/讲明白/理清楚
- 仔细讲讲/好好讲讲/详细讲讲/展开讲讲/从头讲/一步一步讲/捋一遍/讲透
Example prompts
- “解释一下/给我讲讲/帮我理解/科普一下”
- “说清楚/说明白/讲清楚/讲明白/理清楚”
- “仔细讲讲/好好讲讲/详细讲讲/展开讲讲/从头讲/一步一步讲/捋一遍/讲透”
- “/dongbei-explainer”
Workflow steps
4 steps, taken from the first numbered list in SKILL.md.
- Build the semantic explanation using clear-tech-explainer.
- Reduce prose burden and apply plain-chinese, including its terminology policy.
- Add one worked trace with concrete-example when the source is a dense project-internal PR/issue or when it otherwise clarifies the…
- Apply dongbei-voice as conversational reconstruction, not vocabulary decoration, without changing content.
What it can do on your machine
Read from SKILL.md and the folder at commit 3f72262. It shows what the files ask for, not the result of running them.
Tool permissions
Pre-approves nothing: there is no allowed-tools line, so your agent's usual permission prompts apply.
From allowed-tools in the SKILL.md frontmatter.
Runs code
No scripts in the folder and no shell commands in SKILL.md.
From the folder's file list and the shell code blocks in SKILL.md.
Network
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Credentials
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Context cost
Dongbei Explainer loads about 1.1k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 144 tokens; SKILL.md has 528 words of instructions outside code blocks.
Estimates: characters ÷ 4, the usual rule of thumb; real counts depend on the model's tokenizer. Scripts and assets cost tokens only if the agent reads them.
Safety
Auto-check passed
The automated check found no risky patterns in SKILL.md.
Automated static check — not a guarantee. Review scripts before installing. It scans the text of SKILL.md for risky patterns (piping downloads into a shell, reading credential files, hidden Unicode, destructive commands); files beside SKILL.md are not scanned.
SKILL.md
The full file from yuema137/DongbeiGPT at commit 3f72262, republished under its MIT licence (© yuema137). 528 words, ~1,148 tokens.
Download SKILL.mdSave it as
.claude/skills/dongbei-explainer/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.- name
- dongbei-explainer
- description
- Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm. Use when understanding is the main request, including “解释一下/给我讲讲/帮我理解/科普一下”, “说清楚/说明白/讲清楚/讲明白/理清楚”, “仔细讲讲/好好讲讲/详细讲讲/展开讲讲/从头讲/一步一步讲/捋一遍/讲透”, “通俗点/简单点/大白话/深入浅出/别绕/别堆术语”, or confusion such as “没听懂/看不懂/没看明白/不太明白/有点懵/这到底怎么回事/啥意思”. Treat equivalent wording as the same intent. Apply the style only to conversational explanations for the user, not to requested artifacts.
- license
- MIT
Dongbei Explainer
东北话不是目的。讲明白才是目的。
Invocation and output boundary
Use this skill when the user's main intent is to understand an explanation, whether they explicitly request Dongbei speech or ask for a clear, thorough, plain, or easier-to-understand explanation. Recognize these semantic families rather than requiring an exact keyword:
- direct explanation: “解释一下”, “给我讲讲”, “说说这个”, “帮我理解”, “帮我理一理”, “这个该怎么理解”, “科普一下”, “介绍一下它怎么工作”;
- clarity: “说清楚”, “说明白”, “讲清楚”, “讲明白”, “解释清楚”, “解释明白”, “理清楚”, “给我讲明白”;
- depth and mechanism: “仔细讲讲”, “好好讲讲”, “详细讲讲”, “深入讲讲”, “展开讲讲”, “从头讲讲”, “一步一步讲”, “捋一遍”, “掰开讲”, “讲透”, “具体怎么走”;
- lower prose burden: “通俗点讲”, “通俗易懂一点”, “深入浅出地讲”, “简单点说”, “直白点”, “用大白话”, “说人话”, “别绕”, “别太学术”, “别堆术语”;
- confusion or repair: “没听懂”, “听不明白”, “没看懂”, “看不懂”, “没看明白”, “没整明白”, “不太明白”, “还是不明白”, “有点懵”, “这到底怎么回事”, “这是什么意思”, “啥意思”;
- comparison and causality when explanation is the requested result: “区别到底在哪”, “为什么会这样”, “到底改了哪一步”, “原来和现在有什么不一样”;
- concrete help: “举个例子”, “拿一条数据走一遍”, “画个图看看”, “打个比方”, “这东西到底干嘛的”, “有啥用”, “具体怎么工作”.
These are examples, not an exhaustive phrase list. A short request such as “这个到底咋回事” may be enough when it clearly asks for understanding. Do not trigger merely because a phrase like “说清楚” appears inside text the user wants edited, quoted, classified, translated, or searched.
Apply the Dongbei conversational style only to explanatory prose addressed directly to the user. Do not apply it to code, code comments, documentation, file contents, Git messages, pull-request comments, issue text, reports, prompts, configuration, tests, or other requested artifacts unless the user explicitly requests that style for the artifact itself. When a request combines artifact creation with explanation, keep the artifact in its requested professional language and style, and apply this skill only to the surrounding explanation.
An explicit user instruction about tone overrides the default voice. If the user asks for formal, academic, neutral, or another specific style, preserve the explanation workflow but follow the requested tone instead of adding Northeastern conversational rhythm. Do not use this skill when the user asks for a result without explanation.
Compose four concerns in order:
- Build the semantic explanation using
clear-tech-explainer. - Reduce prose burden and apply
plain-chinese, including its terminology policy. - Add one worked trace with
concrete-examplewhen the source is a dense project-internal PR/issue or when it otherwise clarifies the mechanism. Use a short analogy only if it creates a clean structural map. - Apply
dongbei-voiceas conversational reconstruction, not vocabulary decoration, without changing content.
Show full SKILL.md (158 more words)Show less
Determine audience and depth. Default to a general STEM reader at level 2; do not assume CS training or familiarity with the project. Preserve exact established English jargon, code, equations, and formal distinctions. Explain a term on first meaningful use according to familiarity, then do not re-explain it within the conversation. Project-local English labels are not established jargon: describe their job in plain Chinese first and retain the exact label only when useful for lookup.
Before returning the answer, read the Chinese aloud conceptually. Verify correctness, causal clarity, example usefulness, jargon burden, accessibility outside Northeast China, dialect restraint, respect, and information preservation. If the sentence contains compressed Chinese that a person would not naturally say, unpack it even when it is short. If voice conflicts with precision, remove the voice marker.
For calibrated behavior rather than catchphrases, read references/few-shot-examples.md. Load it when the concept is subtle or the requested style is drifting toward generic prose or dialect performance.
© yuema137, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
Files
SKILL.md and 1 other file (references) in skills/dongbei-explainer of yuema137/DongbeiGPT.
- SKILL.md
- references/few-shot-examples.md
Open the folder on GitHubat commit 3f72262
Compare with similar skills
Dongbei Explainer next to the 5 skills that share the most tags, products or categories with it. Stars are the repository's; “used in” counts other GitHub owners with a copy.
| Skill | Stars | Used in | Tokens | Auto-check | Licence | Repo updated |
|---|---|---|---|---|---|---|
| Dongbei Explainer this skillyuema137/DongbeiGPT | 100 | — | ~1.1k | Automated safety check: Pass | MIT | |
| Explain Usageasgeirtj/system_prompts_leaks | 69k | — | ~345 | Automated safety check: Pass | CC0-1.0 | |
| Investor Materialsaffaan-m/ECC | 276k | 3 repos | ~268 | Automated safety check: Pass | MIT | |
| Material Designsickn33/agentic-awesome-skills | 47k | 1 repos | ~2.6k | Automated safety check: Pass | MIT | |
| Humanize Chinesesickn33/agentic-awesome-skills | 47k | 2 repos | ~1.3k | Automated safety check: Pass | MIT | |
| Logic Explainsickn33/agentic-awesome-skills | 47k | 1 repos | ~894 | Automated safety check: Pass | MIT |
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More from yuema137/DongbeiGPT
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Questions about Dongbei Explainer
What does Dongbei Explainer do?
Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm. Dongbei Explainer is an agent skill from yuema137/DongbeiGPT. Explain technical or otherwise complex material clearly in Chinese using causal structure, audience-aware terminology, a useful worked example, and restrained Northeastern conversational rhythm.
When should I use Dongbei Explainer?
Dongbei Explainer fits situations like: understanding is the main request; including 解释一下/给我讲讲/帮我理解/科普一下; 说清楚/说明白/讲清楚/讲明白/理清楚; 仔细讲讲/好好讲讲/详细讲讲/展开讲讲/从头讲/一步一步讲/捋一遍/讲透.
How do I install Dongbei Explainer in Claude Code?
Run `npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a claude-code`. Or copy the skill folder (skills/dongbei-explainer in yuema137/DongbeiGPT) into .claude/skills/dongbei-explainer in your project. Claude Code loads it when a task matches its description.
How do I install Dongbei Explainer in Codex?
Run `npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a codex`. Or copy the skill folder (skills/dongbei-explainer in yuema137/DongbeiGPT) into .agents/skills/dongbei-explainer in your project. Codex loads it when a task matches its description.
Can I use Dongbei Explainer in Cursor, Gemini CLI or GitHub Copilot?
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add yuema137/DongbeiGPT --skill dongbei-explainer -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/dongbei-explainer, .gemini/skills/dongbei-explainer, .github/skills/dongbei-explainer and .opencode/skills/dongbei-explainer in your project.
What does Dongbei Explainer need to run?
SKILL.md names no scripts, command-line tools or credentials: Dongbei Explainer is instructions for the agent only.
Does Dongbei Explainer access the network?
SKILL.md contains no URLs. Any network use would come from the scripts or tools the agent runs. This is read from the text; nothing was executed.
Is Dongbei Explainer safe to install?
Our automated static check of SKILL.md found no risky patterns, such as piping downloads into a shell, reading credential files or hidden Unicode. It is not a guarantee. Review the folder before installing.
What licence does Dongbei Explainer use?
Dongbei Explainer is published under the MIT licence (declared in SKILL.md). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Dongbei Explainer use?
About 1.1k tokens (SKILL.md is roughly 4.6k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full. Its references folder adds about 760 tokens, read only when the agent opens those files.
What are the alternatives to Dongbei Explainer?
Skills that share tags, products or a category with Dongbei Explainer: Explain Usage (asgeirtj/system_prompts_leaks, 69k stars), Investor Materials (affaan-m/ECC, 276k stars), Material Design (sickn33/agentic-awesome-skills, 47k stars) and Humanize Chinese (sickn33/agentic-awesome-skills, 47k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Dongbei Explainer?
yuema137 (a GitHub user) maintains it in yuema137/DongbeiGPT, which has 100 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on September 1, 2026.
Source: yuema137/DongbeiGPT on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.