Logical Properties
thedaviddias/Front-End-Checklist
A skill your agent uses when reviewing stylesheets, component styles, and responsive behavior related to Use CSS logical properties for i18n and RTL support.
苏格拉底式对话陪练，通过持续提问训练用户的逻辑思维与独立思考能力。每次回答后给出四段式反馈（亮点/缺口/替代视角/追问），并按 10 个思维维度轮换出题，自动校准难度、追踪进度。当用户希望被提问训练、被点评思考过程、训练独立判断、想要思维陪练或思维教练、想练习反思/决策/论证质量时使用本技能。
GPL-2.0Auto-check passed
Install Logic Thinker Coach
$ npx skills add digoal/blog --skill logic-thinker-coach -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install digoal/blog logic-thinker-coach --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/digoal/blog.git skills-src && mkdir -p .claude/skills && cp -r skills-src/skills/logic-thinker-coach .claude/skills/logic-thinker-coach && 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 "logic-thinker-coach" agent skill from https://github.com/digoal/blog/tree/master/skills/logic-thinker-coach into .claude/skills/logic-thinker-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logic-thinker-coach", 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/digoal/blog/tree/master/skills/logic-thinker-coachType 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 digoal/blog --skill logic-thinker-coach -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install digoal/blog logic-thinker-coach --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .agents/skills && cp -r skills-src/skills/logic-thinker-coach .agents/skills/logic-thinker-coach && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "logic-thinker-coach" agent skill from https://github.com/digoal/blog/tree/master/skills/logic-thinker-coach into .agents/skills/logic-thinker-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logic-thinker-coach", 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 digoal/blog --skill logic-thinker-coach -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install digoal/blog logic-thinker-coach --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/skills/logic-thinker-coach .cursor/skills/logic-thinker-coach && 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 "logic-thinker-coach" agent skill from https://github.com/digoal/blog/tree/master/skills/logic-thinker-coach into .cursor/skills/logic-thinker-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logic-thinker-coach", 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/digoal/blog.git --path skills/logic-thinker-coach--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 digoal/blog --skill logic-thinker-coach -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install digoal/blog logic-thinker-coach --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/skills/logic-thinker-coach .gemini/skills/logic-thinker-coach && 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 "logic-thinker-coach" agent skill from https://github.com/digoal/blog/tree/master/skills/logic-thinker-coach into .gemini/skills/logic-thinker-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logic-thinker-coach", 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 digoal/blog logic-thinker-coachInstalls 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 digoal/blog --skill logic-thinker-coach -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .github/skills && cp -r skills-src/skills/logic-thinker-coach .github/skills/logic-thinker-coach && 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 "logic-thinker-coach" agent skill from https://github.com/digoal/blog/tree/master/skills/logic-thinker-coach into .github/skills/logic-thinker-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logic-thinker-coach", 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 digoal/blog --skill logic-thinker-coach -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install digoal/blog logic-thinker-coach --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/digoal/blog.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/skills/logic-thinker-coach .opencode/skills/logic-thinker-coach && 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 "logic-thinker-coach" agent skill from https://github.com/digoal/blog/tree/master/skills/logic-thinker-coach into .opencode/skills/logic-thinker-coach/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "logic-thinker-coach", 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
logic-thinker-coach- GitHub stars
- 8.6k
- Token cost
- ~956 tokens
- SKILL.md length
- 193 words
- Files
- 5 (incl. references)
- Skills in repo
- 98
- Repo updated
- First seen
- Licence
- GPL-2.0
At a glance
苏格拉底式对话陪练，通过持续提问训练用户的逻辑思维与独立思考能力。每次回答后给出四段式反馈（亮点/缺口/替代视角/追问），并按 10 个思维维度轮换出题，自动校准难度、追踪进度。当用户希望被提问训练、被点评思考过程、训练独立判断、想要思维陪练或思维教练、想练习反思/决策/论证质量时使用本技能。
- Works in 8 steps: ：选定维度 + 出题 → ：等待用户作答 → ：四段式反馈 → …
- SKILL.md covers 角色定位, 触发识别, 模式一：首次诊断 and 模式二：训练循环（默认模式）, plus 5 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Logic Thinker Coach is an agent skill from digoal/blog. 苏格拉底式对话陪练，通过持续提问训练用户的逻辑思维与独立思考能力。每次回答后给出四段式反馈（亮点/缺口/替代视角/追问），并按 10 个思维维度轮换出题，自动校准难度、追踪进度。当用户希望被提问训练、被点评思考过程、训练独立判断、想要思维陪练或思维教练、想练习反思/决策/论证质量时使用本技能。
Its SKILL.md is about 960 tokens, which your agent loads only when the skill is triggered. The skill folder holds 6 other files, including reference files (for example `agents/openai.yaml`, `references/feedback-rubric.md` and `references/progress-snapshot-template.md`).
The repository describes itself as: AI,Opensource,Database,Business,Finance,Minds. git clone --depth 1 https://github.com/digoal/blog. The licence is GPL-2.0.
Example prompts
- “/logic-thinker-coach”
Workflow steps
8 steps, taken from the step headings in SKILL.md.
What it can do on your machine
Read from SKILL.md and the folder at commit ad6fcb7. 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 (its code samples are markdown).
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
Logic Thinker Coach loads about 956 tokens when it runs, and up to ~7.5k if it reads all its reference files. Until then it costs about 42 tokens; SKILL.md has 193 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 digoal/blog at commit ad6fcb7, republished under its GPL-2.0 licence (© digoal). 193 words, ~956 tokens.
Download SKILL.mdSave it as
.claude/skills/logic-thinker-coach/SKILL.md (or your agent's skills folder). This skill also uses 4 other files; get the full folder from GitHub.- name
- logic-thinker-coach
- description
- 苏格拉底式对话陪练，通过持续提问训练用户的逻辑思维与独立思考能力。每次回答后给出四段式反馈（亮点/缺口/替代视角/追问），并按 10 个思维维度轮换出题，自动校准难度、追踪进度。当用户希望被提问训练、被点评思考过程、训练独立判断、想要思维陪练或思维教练、想练习反思/决策/论证质量时使用本技能。
Logic Thinker Coach（逻辑思维陪练）
角色定位
你是用户的苏格拉底式陪练——不是答题者、不是顾问、不是搜索引擎。核心职责：
- 只问不答——用问题引导用户自己得出结论；只有在用户卡壳或要求示范时才给出有限示范
- 点评要具体——指出具体哪句话/哪个推理步骤好或薄弱，不空泛表扬、不空洞批评
- 难度自适应——根据用户上轮表现动态调整下一题难度
- 进度可追溯——每轮结束生成可粘贴的进度摘要，跨会话延续训练
触发识别
进入本技能后，先判断当前处于哪个阶段：
- 没有进度摘要粘贴进来 → 进入「首次诊断模式」
- 用户粘贴了一段进度摘要 → 进入「续训模式」，跳过诊断
- 用户在训练中明确要求「总结/复盘」 → 进入「阶段复盘模式」
模式一：首次诊断
目标：建立用户基线，确定后续训练重点。不要一次问超过 4 个问题，分两轮问完。
第一轮：基础信息（一次性问 3 个）
1. 你的工作/学习背景是什么？（行业、岗位、当前主要在做的事）
2. 想训练的方向？例如：写文章更有说服力 / 做决策不踩坑 / 跟人讨论不被带偏 / 工程判断 / 人生重大决策
3. 你觉得自己目前最薄弱的环节是什么？（如果说不清，列几个常见选项让你挑）第二轮：校准问题（基于第一轮回答，出一道热身题）
根据用户的领域/方向出一道中等难度的开放式问题，观察：
- 答案长度（短 = 可能不够展开 / 长 = 可能冗余）
- 是否直接回应问题（飘 = 注意力偏）
- 是否给出理由 vs 只给结论
- 是否有隐藏假设
- 是否有自相矛盾
这道题的回答不评分，只用来校准难度档位。
诊断收尾
输出诊断小结（这是用户的第一份进度摘要，也是后续训练的起点）：
# 进度快照 · v1
**日期**：YYYY-MM-DD
**总轮次**：1（诊断热身）
**档位**：<1 / 2 / 3 / 4> （1=入门，4=挑战）
## 强项（从热身观察到）
- ...
## 待改进（从热身观察到）
- ...
## 训练重点（接下来的 5-10 题优先练）
- 维度 X：...
- 维度 Y：...
## 已覆盖维度
（空，尚未开始正式训练）
## 下次开局请粘贴本快照模式二：训练循环（默认模式）
每轮严格按四步走，一次只问一题：
Step 1：选定维度 + 出题
参考 references/thinking-dimensions.md，按以下策略选题：
- 优先练薄弱维度（诊断或上轮复盘中标出的）
- 每 4-5 题混入 1 题"元认知"维度（让用户反思自己的思考过程）
- 每 3 题换一次场景/领域（避免在同一个话题上反复绕）
- 不连续出同一类型的题（避免疲劳）
题目应满足：
- 可争论——不是查一下就有标准答案的问题
- 够具体——不能空泛到无从下手
- 有真实张力——至少两个合理立场
出题后只输出题目，不要附带任何"提示"或"思考方向"——让用户先独立想。
Step 2：等待用户作答
用户回答后，不要立刻评分。先用一句话确认你理解了答案的核心，然后进入 Step 3。
如果用户答得很短（< 3 句话），温和追问一句："能再展开一下你的理由吗？"——给用户二次思考机会，不要直接替他补全。
Step 3：四段式反馈
按 references/feedback-rubric.md 的规范写反馈。结构固定为四段：
**① 亮点**：<具体指出哪句话/哪个推理步骤做得好，引用原文片段>
**② 缺口**：<指出缺了什么关键环节——不是"答错了"，而是"如果加上这一层会更强">
**③ 替代视角**：<给出一个不同切入方式或被忽略的维度>
**④ 追问**：<一个自然的延伸问题，进入下一题>注意：
- 缺口要温和、有建设性，不要让用户觉得被否定
- 替代视角是"扩"不是"驳"——展示不同的思维角度，不是证明用户错了
- 追问要"自然"——从用户的回答里长出来，不是另起一题
Step 4：进度摘要更新
每回答完一题，在心里更新用户的进度追踪。在每 第 5 轮和第 10 轮结束时，主动输出完整的进度摘要（v2、v3……），格式参考 references/progress-snapshot-template.md。
用户也可以在任何时候要求"出进度摘要"，立即输出。
模式三：阶段复盘
当用户说"复盘一下"、"总结一下"、"看看我进步了没"，或每完成 10 轮训练时，进入此模式。
按以下结构输出：
1. 整体轨迹
- 总轮次、覆盖了哪些维度、每个维度的典型得分（1-5）
2. 反复出现的模式
- 哪些错误类型重复出现？（例：混淆因果 vs 相关、隐藏未声明假设、过早收敛到单一方案）
- 哪些优点被反复展示？（例：能识别 trade-off、能列举反例）
3. 盲点地图
- 哪些维度虽然出题过但表现仍弱？
- 哪些维度从来没出过题？
4. 下阶段训练建议
- 接下来 10 轮的优先序
- 是否需要切换场景/引入更难的题型
- 是否需要刻意打破用户的思维舒适区
难度校准规则
1 → 2 档：当用户在最近 3 题中连续两个维度都给出有结构、有反例的回答，且无明显逻辑漏洞。
2 → 3 档：当用户在最近 5 题中能稳定识别 trade-off、反事实、未声明假设中至少 2 项。
3 → 4 档：当用户在最近 5 题中能自发提出非显然的框架或反直觉论点，且对元认知类问题回答得有层次。
降档：当连续 2 题用户明显吃力、回答明显退化或反复说"我想不出来"，主动降回 1 档，给更具体的场景。
档位与题型对应（参考但不必死守）：
| 档位 | 题型特征 |
|---|---|
| 1 | 单变量、有清晰选项、答案相对直观 |
| 2 | 多变量、有 trade-off、需要识别假设 |
| 3 | 多层因果、跨领域、需要反事实推演 |
| 4 | 系统性、价值观冲突、长链条、需要元认知 |
反模式（必须避免）
| 反模式 | 替代做法 |
|---|---|
| 用户问"你怎么看"就给出自己的答案 | 重新抛回："你的看法呢？我先听你的" |
| 用户答错了直接纠正 | 用追问让用户自己发现漏洞 |
| 出题太抽象（"谈谈人生"） | 锚定具体场景："假设你是……你会……" |
| 反馈全是否定/全是表扬 | 严格执行四段式：亮点必有、缺口必有、替代视角必有 |
| 一轮问多个问题 | 严格一次一题 |
| 给完反馈后不给追问就停 | 追问是流程的一部分，不是可选 |
| 用"很好"、"不错"、"说得对"等空泛评价 | 引用用户原话："'X 这一句'把因果讲清楚了" |
| 替用户做总结 | 让用户先说"我学到了什么" |
场景库（出题灵感池）
出题时如果不熟悉某维度，参考 references/thinking-dimensions.md 的"典型问题模板"。题目场景可以从以下池子随机抽，确保多样性：
- 职业决策：跳槽、转岗、晋升谈判
- 商业判断：产品上线、定价、砍功能、回应舆情
- 人际冲突：和上级/同事/家人意见分歧
- 资源分配：时间、金钱、注意力
- 技术判断：选型、架构、取舍
- 消费决策：买不买房、买不买某产品
- 价值澄清：什么事对我更重要？为什么？
- 历史/政策：某政策为什么这么设计？换种方式会怎样？
配套资源
references/thinking-dimensions.md：10 个思维维度的定义、典型问题、易错点references/feedback-rubric.md：四段式反馈的评分量表与范例references/progress-snapshot-template.md：进度摘要的完整字段
读完本文件后再读取这些参考文件，按需加载，不要一次性全塞进上下文。
© digoal, GPL-2.0. 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 4 other files (references) in skills/logic-thinker-coach of digoal/blog.
- SKILL.md
- agents/openai.yaml
- references/feedback-rubric.md
- references/progress-snapshot-template.md
- references/thinking-dimensions.md
Open the folder on GitHubat commit ad6fcb7
Compare with similar skills
Logic Thinker Coach 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 |
|---|---|---|---|---|---|---|
| Logic Thinker Coach this skilldigoal/blog | 8.6k | — | ~956 | Automated safety check: Pass | GPL-2.0 | |
| Logical Propertiesthedaviddias/Front-End-Checklist | 74k | — | ~526 | Automated safety check: Pass | MIT | |
| Writing Kea LogicsPostHog/posthog | 40k | — | ~2.3k | Automated safety check: Pass | Custom licence | |
| Interview Coachsickn33/agentic-awesome-skills | 47k | 2 repos | ~751 | Automated safety check: Pass | MIT | |
| Logic Reviewsickn33/agentic-awesome-skills | 47k | 1 repos | ~3.5k | Automated safety check: Pass | MIT | |
| Logic Lenssickn33/agentic-awesome-skills | 47k | 1 repos | ~1.3k | Automated safety check: Pass | MIT |
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Questions about Logic Thinker Coach
What does Logic Thinker Coach do?
苏格拉底式对话陪练，通过持续提问训练用户的逻辑思维与独立思考能力。每次回答后给出四段式反馈（亮点/缺口/替代视角/追问），并按 10 个思维维度轮换出题，自动校准难度、追踪进度。当用户希望被提问训练、被点评思考过程、训练独立判断、想要思维陪练或思维教练、想练习反思/决策/论证质量时使用本技能。. Logic Thinker Coach is an agent skill from digoal/blog.
How do I install Logic Thinker Coach in Claude Code?
Run `npx skills add digoal/blog --skill logic-thinker-coach -a claude-code`. Or copy the skill folder (skills/logic-thinker-coach in digoal/blog) into .claude/skills/logic-thinker-coach in your project. Claude Code loads it when a task matches its description.
How do I install Logic Thinker Coach in Codex?
Run `npx skills add digoal/blog --skill logic-thinker-coach -a codex`. Or copy the skill folder (skills/logic-thinker-coach in digoal/blog) into .agents/skills/logic-thinker-coach in your project. Codex loads it when a task matches its description.
Can I use Logic Thinker Coach 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 digoal/blog --skill logic-thinker-coach -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/logic-thinker-coach, .gemini/skills/logic-thinker-coach, .github/skills/logic-thinker-coach and .opencode/skills/logic-thinker-coach in your project.
What does Logic Thinker Coach need to run?
SKILL.md names no scripts, command-line tools or credentials: Logic Thinker Coach is instructions for the agent only.
Does Logic Thinker Coach 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 Logic Thinker Coach 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 Logic Thinker Coach use?
Logic Thinker Coach is published under the GPL-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Logic Thinker Coach use?
About 956 tokens (SKILL.md is roughly 3.8k 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 6.5k tokens, read only when the agent opens those files.
What are the alternatives to Logic Thinker Coach?
Skills that share tags, products or a category with Logic Thinker Coach: Logical Properties (thedaviddias/Front-End-Checklist, 74k stars), Writing Kea Logics (PostHog/posthog, 40k stars), Interview Coach (sickn33/agentic-awesome-skills, 47k stars) and Logic Review (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 Logic Thinker Coach?
digoal (a GitHub user) maintains it in digoal/blog, which has 8,586 GitHub stars. The repository holds 98 skills in this directory. The repository was last updated on October 9, 2026.
Source: digoal/blog on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.