Abc Xyz Segmentation
davila7/claude-code-templates
Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly.
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。
$ npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-dawenti --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-dawenti .claude/skills/shenlun-dawenti && 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-dawenti" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-dawenti into .claude/skills/shenlun-dawenti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-dawenti", 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-dawentiType 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-dawenti -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-dawenti --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-dawenti .agents/skills/shenlun-dawenti && 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-dawenti" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-dawenti into .agents/skills/shenlun-dawenti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-dawenti", 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-dawenti -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-dawenti --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-dawenti .cursor/skills/shenlun-dawenti && 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-dawenti" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-dawenti into .cursor/skills/shenlun-dawenti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-dawenti", 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-dawenti--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-dawenti -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install coffe-d/Shenlun.skill shenlun-dawenti --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-dawenti .gemini/skills/shenlun-dawenti && 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-dawenti" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-dawenti into .gemini/skills/shenlun-dawenti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-dawenti", 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-dawentiInstalls 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-dawenti -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-dawenti .github/skills/shenlun-dawenti && 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-dawenti" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-dawenti into .github/skills/shenlun-dawenti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-dawenti", 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-dawenti -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-dawenti --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-dawenti .opencode/skills/shenlun-dawenti && 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-dawenti" agent skill from https://github.com/coffe-d/Shenlun.skill/tree/master/skills/shenlun-dawenti into .opencode/skills/shenlun-dawenti/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "shenlun-dawenti", 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-dawenti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。
Shenlun Dawenti is an agent skill from 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。 重要:用户只要涉及申论大作文——议论文、文章写作、自选角度作文,或提交作文要求 批改、评分、看有没有偏题、要范文——都必须使用本 skill。 覆盖关键词:申论、大作文、议论文、文章写作、自选角度、范文、批改、评分、 立意、偏题、跑题、分论点、总论点、袁东、标题、开头、结尾、卷面分。 图片输入(作文照片)由 shenlun-router 处理。
Its SKILL.md is about 690 tokens, which your agent loads only when the skill is triggered. The skill folder holds 3 other files, including reference files (for example `references/fallback-eval-rules.md` and `references/yuan-dong-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.
3 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 Dawenti loads about 692 tokens when it runs, and up to ~8.2k if it reads all its reference files. Until then it costs about 71 tokens; SKILL.md has 150 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). 150 words, ~692 tokens.
.claude/skills/shenlun-dawenti/SKILL.md (or your agent's skills folder). This skill also uses 2 other files; get the full folder from GitHub.本 skill 只管大作文。小题见 shenlun-xiaoti;图片输入、真题识别、错题库、导出见 shenlun-router。
第一原则:文无定式。 袁东的公式只是想不出怎么写时的备用工具——用户有更好的衔接过渡/结构就用更好的,不因偏离公式扣分。批改永远先看「论证是否成立、结构是否自洽」,再看「像不像公式」。
必须读名师库:
references/yuan-dong-methodology.md(第零节两档体系、6.5 双主题模板、7.5 问题对策型)。本文件不重复其内容。
单主题(1关键词)→ 多维度展开
双主题(2关键词)→ 再判:
├─ AB型 :A、B 互为对象(如"守正与创新")
└─ ABC型 :A、B 共同作用于大目标 C(如"现代与传统"→社会文明)
判据:题干有第三个"大目标"性质的词(共同富裕/社会文明/乡村振兴…)
多主题(一般3个)→ 打组合拳
两路式("缺A会…/缺B会…/A+B会…")→ 见名师库 6.5再按对应模板逐段核对(模板见名师库 6.5):AB型 A→B/B→A/A+B;ABC型 A→C/B→C/A+B→C;两路式 缺A/缺B/A+B。
另需判文体:政论文(论影响)/策论文(论对策)/议论文(对策+影响)。
禁止用"分分总/总分总/并列式/递进式"等通用文章学术语下判语——与袁东的双主题模板不对应,会直接误判(实例:ABC 型的 A+B→C 被读成"总结段、重复前两段")。
须用「主题类型 + 模板层次」说话: ❌"结构是分分总,第三段是总结" → ✅"用的是 ABC 型,但第4段作为 A+B→C 这一层段内自我重复"。
| 档次 | 分数 | 判据 |
|---|---|---|
| 一类文 | 30-40 | 二类文基础 + 分论点论证写得好 |
| 二类文 | 20-30 | 三类文基础 + 开头、结尾写得好 |
| 三类文 | 10-20 | 标题 + 开头(前+后)+ 总论点 + 分论点正确 |
| 四类文 | 0-10 | 跑题 |
动作顺序:① 判主题类型与 AB/ABC 型(强制)→ ② 判跑题 → ③ 按模板逐段核对 → ④ 开头结尾 → ⑤ 分论点论证 → 定档给分。
"框架正确"指结构自洽、论点立得住,不是"符合公式";四类文的判据是跑题,不是"没按公式写"。
分值未知时:默认按 40 分计并标注"如实际为 35 分请告知,我按比例重算"。不得只给得分率或 100 分制。
触发:用户提供不了题干(已由 shenlun-router 索取过)。不套真题采分点,改按"一篇议论文"评。
三条底线:
评分五维:论点明确性 25% + 论据贴合度 30% + 结构条理 20% + 语言表达 15% + 卷面分 10%
完整规则(评改四问、换算对照表、卷面分锚点与三项纪律)见 references/fallback-eval-rules.md。
「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。
输出顺序(改进建议优先,不做诊断):
../shared/references/expression-upgrade-rules.md)格式模板见 ../shared/references/expression-upgrade-rules.md 第六节。
| 文件 | 内容 |
|---|---|
references/yuan-dong-methodology.md | 袁东大作文(据 26 专项班讲义重建):第零节两档体系与第一原则;第一节阅卷规则/三种文体/主题类型/标题等式/开头 6 种写法/分论点模板/论证 5 步走/结尾 3 步走;第二节待核实项;7.5 问题对策型论证;第十、十一节范文验证与进阶档技法 |
references/fallback-eval-rules.md | 无题干兜底评改(四问、换算、卷面分) |
批改完成后必须走一遍 shenlun-router 的错题库流程:记录本次失分点类型、更新计数、
若累计 ≥2 则给出复发提醒。规则见 ../shared/references/error-bank-rules.md。
© 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 2 other files (references) in skills/shenlun-dawenti of coffe-d/Shenlun.skill.
Open the folder on GitHubat commit 354341c
Shenlun Dawenti 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 Dawenti this skillcoffe-d/Shenlun.skill | 122 | — | ~692 | Automated safety check: Pass | MIT | |
| Abc Xyz Segmentationdavila7/claude-code-templates | 33k | — | ~873 | Automated safety check: Pass | MIT | |
| Inventory Demand Planningaffaan-m/ECC | 277k | 2 repos | ~2.4k | Automated safety check: Pass | Apache-2.0 | |
| Tasksget-bb/bb | 4.2k | — | ~1.4k | Automated safety check: Pass | MIT | |
| Bio Atac Seq Enhancer Gene LinkingGPTomics/bioSkills | 1.2k | 2 repos | ~4.6k | Automated safety check: Pass | MIT | |
| Shopify Inventory Managementnexscope-ai/eCommerce-Skills | 1.1k | — | ~480 | Automated safety check: Pass | MIT |
davila7/claude-code-templates
Segment a SKU portfolio on value (ABC) and demand variability (XYZ), produce the 9-box with a planning policy per cell, and reallocate planner attention accordingly.
affaan-m/ECC
为多地点零售商提供需求预测、安全库存优化、补货规划及促销提升估算的编码化专业知识。基于拥有15年以上管理数百个SKU经验的需求规划师的专业知识。包括预测方法选择、ABC/XYZ分析、季节性过渡管理及供应商谈判框架。适用于预测需求、设定安全库存、规划补货、管理促销或优化库存水平时使用。
get-bb/bb
Work on or manage records in BB Tasks, including task keys such as ABC-12.
GPTomics/bioSkills
Predict enhancer-gene regulatory connections from ATAC-seq using ABC, ENCODE-rE2G, HiChIP, or Cicero.
nexscope-ai/eCommerce-Skills
Multi-location inventory — transfers, low stock alerts, demand forecasting, safety stock, ABC analysis
infometa/workbuddyskills
当用户需要目标拆解、每日打卡、连续签到、学习热力图、进度预警时使用。支持 SMART 澄清 + OKR 月周拆解 + ABC 三档每日任务(A 完美 / B 基础 / C ≤15min 兜底),融合 Anti-Goals 反目标护栏与 If-Then 障碍预演,提供打卡/Streak/热力图/周报/断签救赎,4 种人设切换,智能预警(落后提醒/超前鼓励),全本地运行。
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)。
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。. skill.
Run `npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a claude-code`. Or copy the skill folder (skills/shenlun-dawenti in coffe-d/Shenlun.skill) into .claude/skills/shenlun-dawenti in your project. Claude Code loads it when a task matches its description.
Run `npx skills add coffe-d/Shenlun.skill --skill shenlun-dawenti -a codex`. Or copy the skill folder (skills/shenlun-dawenti in coffe-d/Shenlun.skill) into .agents/skills/shenlun-dawenti 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-dawenti -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-dawenti, .gemini/skills/shenlun-dawenti, .github/skills/shenlun-dawenti and .opencode/skills/shenlun-dawenti in your project.
SKILL.md names no scripts, command-line tools or credentials: Shenlun Dawenti 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 Dawenti is published under the MIT licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
About 692 tokens (SKILL.md is roughly 2.8k 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 7.5k tokens, read only when the agent opens those files.
Skills that share tags, products or a category with Shenlun Dawenti: Abc Xyz Segmentation (davila7/claude-code-templates, 33k stars), Inventory Demand Planning (affaan-m/ECC, 277k stars), Tasks (get-bb/bb, 4.2k stars) and Bio Atac Seq Enhancer Gene Linking (GPTomics/bioSkills, 1.2k 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.