Router On
weave-os/router
Route Codex through the Weave Router again (turn it back on).
申论训练总调度。负责跨题型的公共环节:图片/文字输入处理、真题识别与匹配、 命题预判、错题库记录与复发提醒,并把具体批改分派给 shenlun-xiaoti(小题) 或 shenlun-dawenti(大作文)。
$ npx skills add coffe-d/Shenlun.skill --skill shenlun-router -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-router --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/coffe-d/Shenlun.skill.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/shenlun-router .claude/skills/shenlun-router && 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 "shenlun-router" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-router into .claude/skills/shenlun-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-router", 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/coffe-d/Shenlun.skill/tree/master/skills/shenlun-routerType 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 coffe-d/Shenlun.skill --skill shenlun-router -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-router --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coffe-d/Shenlun.skill.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/shenlun-router .agents/skills/shenlun-router && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "shenlun-router" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-router into .agents/skills/shenlun-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-router", 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 coffe-d/Shenlun.skill --skill shenlun-router -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-router --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coffe-d/Shenlun.skill.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/shenlun-router .cursor/skills/shenlun-router && 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 "shenlun-router" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-router into .cursor/skills/shenlun-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-router", 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/coffe-d/Shenlun.skill.git --path skills/shenlun-router--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 coffe-d/Shenlun.skill --skill shenlun-router -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-router --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coffe-d/Shenlun.skill.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/shenlun-router .gemini/skills/shenlun-router && 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 "shenlun-router" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-router into .gemini/skills/shenlun-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-router", 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 coffe-d/Shenlun.skill shenlun-routerInstalls 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 coffe-d/Shenlun.skill --skill shenlun-router -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/coffe-d/Shenlun.skill.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/shenlun-router .github/skills/shenlun-router && 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 "shenlun-router" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-router into .github/skills/shenlun-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-router", 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 coffe-d/Shenlun.skill --skill shenlun-router -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-router --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/coffe-d/Shenlun.skill.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/shenlun-router .opencode/skills/shenlun-router && 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 "shenlun-router" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-router into .opencode/skills/shenlun-router/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-router", 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.
shenlun-router申论训练总调度。负责跨题型的公共环节:图片/文字输入处理、真题识别与匹配、 命题预判、错题库记录与复发提醒,并把具体批改分派给 shenlun-xiaoti(小题) 或 shenlun-dawenti(大作文)。
Shenlun Router is an agent skill from coffe-d/Shenlun.skill. 申论训练总调度。负责跨题型的公共环节:图片/文字输入处理、真题识别与匹配、 命题预判、错题库记录与复发提醒,并把具体批改分派给 shenlun-xiaoti(小题) 或 shenlun-dawenti(大作文)。 重要:用户只要涉及申论相关任务——做题、批改、备考方法、命题预测、作文评分、 要参考答案、问某道申论题怎么答——都必须使用本 skill。 覆盖关键词:申论、省考、国考、公务员考试、事业单位、对策题、综合分析题、 公文写作、大作文、批改、评分、命题预测、错题库、我的短板、最近进步、 小马哥、白鹭、袁东、归纳概括、申论小题、图片、照片、截图、拍照、试卷图、 看图、识别图片、读图、OCR、手写、扫描件。
Its SKILL.md is about 1.3k tokens, which your agent loads only when the skill is triggered. The skill folder holds 2 other files, including reference files (for example `references/prediction-methodology.md`).
The repository describes itself as: 深度解析小马哥、白鹭、袁东三位老师的申论教学理念,整合出一套申论做题与智能批改的实用skill. The licence is MIT.
4 steps, taken from the first numbered list in SKILL.md.
Read from SKILL.md and the folder at commit 354341c. It shows what the files ask for, not the result of running them.
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.
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.
No URLs in SKILL.md.
From URLs in SKILL.md, links to its own repository left out.
Names no API keys, tokens, secrets or passwords.
From names ending in _API_KEY, _TOKEN, _SECRET, _KEY or _PASSWORD in SKILL.md.
Shenlun Router loads about 1.3k tokens when it runs, and up to ~1.9k if it reads all its reference files. Until then it costs about 84 tokens; SKILL.md has 224 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.
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.
The full file from coffe-d/Shenlun.skill at commit 354341c, republished under its MIT licence (© coffe-d). 224 words, ~1,292 tokens.
.claude/skills/shenlun-router/SKILL.md (or your agent's skills folder). This skill also uses 1 other file; get the full folder from GitHub.三个 skill 的分工(本文件只做调度与公共环节,批改细则不在本文):
| skill | 职责 |
|---|---|
| shenlun-router(本文件) | 输入处理 · 真题识别 · 命题预判 · 错题库 · 分派 |
shenlun-xiaoti | 小题:归纳概括/综合分析/对策/公文 |
shenlun-dawenti | 大作文:袁东体系、四类文评分、无题干兜底评改 |
你具备多模态视觉能力,用户可直接发试卷照片/题目截图/材料扫描件/手写作答照片。这是正常输入,不要当作需要额外工具的特殊情况。
四条硬规则:
[图像模糊],绝不猜测填空不要做:不要让用户"先把图片转成文字";不要声称"看不了图片";不要因用户发图就要求改用文字。
识读全流程(类型清点→结构化提取→自检→改进建议→降级路径)见 ../shared/references/image-reading-rules.md。
../shenlun-xiaoti/references/real-exams/INDEX.md,从用户输入提取实体词/主题词/结构词做交集。≥3 重叠→直接加载;1–2→向用户确认;0→按 1.3 索取题干。../shenlun-xiaoti/references/real-exams/_TEMPLATE.md。触发:用户只发来作答、没给题干——无法判断是否扣题、分值字数,必须先索取。
为了精准评判,能否提供原题题干?两种方式都行:
- 直接说哪年、哪场考试、第几题(如"2023年国考地市级第5题")
- 或把原题文字发给我
顺便告诉我这道题多少分(大作文通常 35 或 40 分)。
拿到后按 1.2 走。用户给不出时(不得反复索取)→ 小题转 shenlun-xiaoti 的通用评估;大作文转 shenlun-dawenti 的无题干兜底评改模式,并标注"未匹配到真题"。
| 关键词 | 分派到 |
|---|---|
| 概括/梳理/总结/提炼/归纳 + 问题/原因/做法/经验/成效/变化/特点 | shenlun-xiaoti |
| 分析、理解、评析、认识、看法、谈谈为什么 | shenlun-xiaoti |
| 写一份/起草/拟写 + 公文文种(倡议书/通知/报告/提纲/讲话稿等) | shenlun-xiaoti |
| 大作文、议论文、文章写作、自选角度 | shenlun-dawenti |
| 预测、命题方向、热点、今年考什么 | 本文第四节 · 命题预判 |
分派后:调用对应 skill 的规则,按其流程完成批改。 判不准时:问用户一句"这是小题还是大作文",不要猜。
这是跨题型功能,三个 skill 共用一套规则。 完整规则见 ../shared/references/error-bank-rules.md(8 维度细粒度分类表、频次与状态、记录规则、撤销机制、提醒写法)。本节只给必执行的动作。
存哪:使用者工作区的 错题库/(INDEX.md 汇总 + entries.md 明细)。已在 .gitignore,不上传。不存在就创建,不要向用户索要。
记什么:记失分点类型(如 B1-无统一句式),不记某道题的具体错误——只有类型能跨题累积计数。每条须含:题目出处、题型与要素、得分、失分点(带编号)、归因、改进动作(须具体可执行,不写"注意规范"这类空话)。
归因是第二层(回答"为什么丢",与第一层"丢什么"叠加):知识盲区/技巧不熟/粗心大意/时间不够。 同一失分点因归因不同、练法完全不同——
B1+ 技巧不熟 → 多练;B1+ 知识盲区 → 先学规则。 证据不足时标"暂不确定",不要硬套;尤其别轻易判"知识盲区",那会误导用户去重学已掌握的东西。 详见../shared/references/error-bank-rules.md第二点五节。
何时记:每次批改完成后自动记录,同步更新计数。同类型合并;同一篇反复批改只更新记录,不累加(错题库计的是能力短板次数,不是批改次数)。
复发提醒(本功能重点):某类型累计 ≥2 时,在批改输出**「改进方向」之后**主动提醒:
⚠️ 复发提醒:「{编号} {失分点}」这是第 {N} 次了。
上次在 {上次题目出处} 也犯过({上次具体表现})。
这次在 {本次题目} 又出现:{本次具体表现}。
建议专项训练:{可执行练法}| 次数 | 状态 | 处理 |
|---|---|---|
| 1 | 🟡 初现 | 记录 + 单题改进建议 |
| 2 | 🟠 复发 | 主动提醒 + 指出上次出处 |
| ≥3 | 🔴 顽固 | 给专项训练方案 |
撤销:误记须标注撤销、从计数扣除、说明原因(错误记录会假性累积,比不记更糟)。
用户查询("我老毛病是什么""最近进步了吗""我的短板在哪"):读 错题库/INDEX.md,按 🔴→🟠→🟡 排序,顽固项给专项训练方案,已改善的项明确指出进步。
⛔ 本功能易被跳过:批改时若把注意力全放在当前题目上,会忘记记录与查询。 每次批改收尾都必须走一遍本节。
「语言表达」:不做错别字检查;只判断是否影响语义传达;扣分时只给可替换的规范表述。
表述升级资源:规范表述替换表、成语升级、名言金句见 ../shared/references/expression-upgrade-rules.md。
导出:用户说"导出/保存/生成word/下载"时,调用 ../shared/scripts/export_docx.py 写 .docx。否则默认直接在对话中输出。
触发词:预测、命题方向、热点、今年考什么、冲刺方向、考前押题。
流程:确认考试场景 → 近 3-5 年真题趋势分析(60%)→ 当年时政热点匹配(40%)→ 综合研判(3-4 个方向 + 素材建议)。
三个必看来源:历年真题主题演变(看趋势)、当年政府工作报告(看重点)、领导人年内讲话(看高频词)。 口诀:看三年,定方向;看当年,定重点;看层级,定角度。
详见 references/prediction-methodology.md(含按层级定角度对照表、输出格式模板)。
适用范围:小题(归纳概括、综合分析、对策启示、公文写作)给两版参考作答;大作文给一篇完整范文。两者都是默认行为,不需要用户额外要求。
范文与参考作答的正文,必须整篇放进 ```fanwen 代码块里(一版一块)。客户端会把这种块渲染成申论做题纸:一行 25 格、每满 100 字在行末标一次累计字数。放在普通段落里就不会有稿纸效果。
约束:
明细方法论(白鹭方法论 / 小马哥方法论 / 袁东大作文框架 全文)在用户明确要"参考答案/范文/两版对照/双视角/白鹭/小马哥"时按需加载;上面这些是默认行为,不依赖它们全文。
© coffe-d, MIT. Rendered from Markdown: HTML in the file is shown as text, images as links, and headings moved down two levels. Raw file
SKILL.md and 1 other file (references) in skills/shenlun-router of coffe-d/Shenlun.skill.
Open the folder on GitHubat commit 354341c
Shenlun Router 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 |
|---|---|---|---|---|---|---|
| Shenlun Router this skillcoffe-d/Shenlun.skill | 122 | — | ~1.3k | Automated safety check: Pass | MIT | |
| Router Onweave-os/router | 5.6k | — | ~169 | Automated safety check: Pass | Apache-2.0 | |
| Router Offweave-os/router | 5.6k | — | ~183 | Automated safety check: Pass | Apache-2.0 | |
| Acp Routeropenclaw/openclaw | 392k | — | ~2.4k | Automated safety check: Pass | MIT | |
| React Router Developmentremix-run/react-router | 57k | 1 repos | ~1.5k | Automated safety check: Pass | MIT | |
| Server TRPC Router Guidelobehub/lobehub | 83k | — | ~904 | Automated safety check: Pass | Custom licence |
weave-os/router
Route Codex through the Weave Router again (turn it back on).
weave-os/router
Route Codex to its default provider again (turn the Weave Router off).
openclaw/openclaw
Route plain-language requests for Claude Code, Cursor, Copilot, OpenClaw ACP, OpenCode, Gemini CLI, Qwen, Kiro, Kimi, iFlow, Factory Droid, Kilocode, or explicit ACP harness work into either…
remix-run/react-router
Guides work on React Router apps by first identifying whether the app uses Framework, Data or Declarative mode, then loading the matching reference and the installed package docs.
lobehub/lobehub
Conventions for LobeHub's server tRPC routers: file locations, middleware that injects models into ctx, procedure patterns, aggregated detail endpoints and return shapes.
vercel/next.js
How to write end-to-end tests using createRouterAct and LinkAccordion.
coffe-d/Shenlun.skill
申论大作文批改与训练:袁东体系(累进四类文评分、双主题 AB/ABC 型模板、 标题等式、开头 6 种写法、分论点 5 步走、结尾 3 步走),并含无题干时的通用文章评改模式。
coffe-d/Shenlun.skill
申论小题批改与训练:归纳概括、综合分析、对策启示、公文写作,双视角参考作答 (小马哥版 + 白鹭版)并以阅卷人视角逐条评分。
申论训练总调度。负责跨题型的公共环节:图片/文字输入处理、真题识别与匹配、 命题预判、错题库记录与复发提醒,并把具体批改分派给 shenlun-xiaoti(小题) 或 shenlun-dawenti(大作文)。. skill.
Run `npx skills add coffe-d/Shenlun.skill --skill shenlun-router -a claude-code`. Or copy the skill folder (skills/shenlun-router in coffe-d/Shenlun.skill) into .claude/skills/shenlun-router in your project. Claude Code loads it when a task matches its description.
Run `npx skills add coffe-d/Shenlun.skill --skill shenlun-router -a codex`. Or copy the skill folder (skills/shenlun-router in coffe-d/Shenlun.skill) into .agents/skills/shenlun-router in your project. Codex loads it when a task matches its description.
Cursor, Gemini CLI, GitHub Copilot and OpenCode also load SKILL.md folders. With the skills CLI, run `npx skills add coffe-d/Shenlun.skill --skill shenlun-router -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/shenlun-router, .gemini/skills/shenlun-router, .github/skills/shenlun-router and .opencode/skills/shenlun-router in your project.
SKILL.md names no scripts, command-line tools or credentials: Shenlun Router is instructions for the agent only.
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.
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.
Shenlun Router is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 1.3k tokens (SKILL.md is roughly 5.2k 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 641 tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Shenlun Router: Router On (weave-os/router, 5.6k stars), Router Off (weave-os/router, 5.6k stars), Acp Router (openclaw/openclaw, 392k stars) and React Router Development (remix-run/react-router, 57k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
coffe-d (a GitHub user) maintains it in coffe-d/Shenlun.skill, which has 122 GitHub stars. The repository holds 3 skills in this directory. The repository was last updated on September 25, 2026.
Source: coffe-d/Shenlun.skill on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.