Luopan Company Research
zhangxiaoqiang1991/luopan
罗盘的公司研究子模式。研究具体上市或非上市公司的财务增长、商业模式、 竞争生态位、治理与组织信号，并分别生成投资初筛和求职初筛。
课堂提问准备——预测老师可能提问的问题并以苏格拉底式追问训练，标注你的薄弱 环节以便课前重温。当用户说"准备明天的课""课堂提问[案例]""[老师]可能在 [案例]上问什么"或指向指定阅读材料时使用。
Install Cold Call Prep
$ npx skills add zhou210712/claude-for-legal-ZH --skill cold-call-prep -a claude-codeProject install by default; add -g for ~/.claude/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH cold-call-prep --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/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .claude/skills && cp -r skills-src/law-student/skills/cold-call-prep .claude/skills/cold-call-prep && 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 "cold-call-prep" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prep into .claude/skills/cold-call-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-prep", 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/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prepType 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 zhou210712/claude-for-legal-ZH --skill cold-call-prep -a codexProject install goes to .agents/skills/; add -g for ~/.codex/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH cold-call-prep --agent codexProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .agents/skills && cp -r skills-src/law-student/skills/cold-call-prep .agents/skills/cold-call-prep && rm -rf skills-srcUse ~/.agents/skills/ instead of .agents/skills for a personal install.
Codex skills documentation · loads skills from .agents/skills/
Install the "cold-call-prep" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prep into .agents/skills/cold-call-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-prep", 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 zhou210712/claude-for-legal-ZH --skill cold-call-prep -a cursorProject install goes to .agents/skills/; add -g for ~/.cursor/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH cold-call-prep --agent cursorProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .cursor/skills && cp -r skills-src/law-student/skills/cold-call-prep .cursor/skills/cold-call-prep && 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 "cold-call-prep" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prep into .cursor/skills/cold-call-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-prep", 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/zhou210712/claude-for-legal-ZH.git --path law-student/skills/cold-call-prep--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 zhou210712/claude-for-legal-ZH --skill cold-call-prep -a gemini-cliProject install goes to .agents/skills/; add -g for ~/.gemini/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH cold-call-prep --agent gemini-cliProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .gemini/skills && cp -r skills-src/law-student/skills/cold-call-prep .gemini/skills/cold-call-prep && 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 "cold-call-prep" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prep into .gemini/skills/cold-call-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-prep", 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 zhou210712/claude-for-legal-ZH cold-call-prepInstalls 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 zhou210712/claude-for-legal-ZH --skill cold-call-prep -a github-copilotProject install goes to .agents/skills/; add -g for ~/.copilot/skills/.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .github/skills && cp -r skills-src/law-student/skills/cold-call-prep .github/skills/cold-call-prep && 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 "cold-call-prep" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prep into .github/skills/cold-call-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-prep", 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 zhou210712/claude-for-legal-ZH --skill cold-call-prep -a opencodeOpenCode documents no install command of its own. Project install goes to .agents/skills/; add -g for ~/.config/opencode/skills/.
$ gh skill install zhou210712/claude-for-legal-ZH cold-call-prep --agent opencodeProject scope by default (.agents/skills/); add --scope user for a personal install.
$ git clone --depth 1 https://github.com/zhou210712/claude-for-legal-ZH.git skills-src && mkdir -p .opencode/skills && cp -r skills-src/law-student/skills/cold-call-prep .opencode/skills/cold-call-prep && 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 "cold-call-prep" agent skill from https://github.com/zhou210712/claude-for-legal-ZH/tree/main/law-student/skills/cold-call-prep into .opencode/skills/cold-call-prep/ in this project. Copy the whole folder (SKILL.md and every file beside it), keep the folder name "cold-call-prep", 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
cold-call-prep- GitHub stars
- 225
- Token cost
- ~775 tokens
- SKILL.md length
- 129 words
- Files
- 1
- Skills in repo
- 122
- Repo updated
- First seen
- Licence
- Apache-2.0
At a glance
课堂提问准备——预测老师可能提问的问题并以苏格拉底式追问训练，标注你的薄弱 环节以便课前重温。当用户说"准备明天的课""课堂提问[案例]""[老师]可能在 [案例]上问什么"或指向指定阅读材料时使用。
- Works in 6 steps: 加载… → 应用以下工作流。 → 识别阅读材料（案例名称 + 来源、授课教师、课程、教学大纲背景）。 → …
- Tasks that involve Sales call preparation
- SKILL.md covers 真实案件检查, 目的, 置信纪律 and 加载上下文, plus 3 more sections
- Instructions only: no scripts, shell commands, URLs or credentials in SKILL.md
What it does
Cold Call Prep is an agent skill from zhou210712/claude-for-legal-ZH. 课堂提问准备——预测老师可能提问的问题并以苏格拉底式追问训练，标注你的薄弱 环节以便课前重温。当用户说"准备明天的课""课堂提问[案例]""[老师]可能在 [案例]上问什么"或指向指定阅读材料时使用。
Its SKILL.md is about 780 tokens, which your agent loads only when the skill is triggered. It is a single SKILL.md file with no bundled scripts.
It sits in Sales & Support, covering Sales call preparation. The licence is Apache-2.0.
When your agent uses it
- Tasks that involve Sales call preparation
Example prompts
- “准备明天的课”
- “课堂提问[案例]”
- “[老师]可能在 [案例]上问什么”
- “/cold-call-prep”
Workflow steps
6 steps, taken from the first numbered list in SKILL.md.
- 加载 ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md → 课程列表、授课教师、学习风格。
- 应用以下工作流。
- 识别阅读材料（案例名称 + 来源、授课教师、课程、教学大纲背景）。
- 预测跨类别的 6-10 个可能问题（基本案情 / 裁判要旨 / 裁判理由 / 法律适用 / 理论政策），按教师已知倾向加权。
- 以苏格拉底式追问模式训练——提问，等待，追问，卡住时缩小问题范围。不给答案。
- 训练后总结：强项/薄弱/错过；课前需重新核实的内容。
What it can do on your machine
Read from SKILL.md and the folder at commit 2f01c92. 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
Cold Call Prep loads about 775 tokens when it runs. Until then it costs about 29 tokens; SKILL.md has 129 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 zhou210712/claude-for-legal-ZH at commit 2f01c92, republished under its Apache-2.0 licence (© zhou210712). 129 words, ~775 tokens.
Download SKILL.mdSave it as
.claude/skills/cold-call-prep/SKILL.md (or your agent's skills folder).- name
- cold-call-prep
- description
- 课堂提问准备——预测老师可能提问的问题并以苏格拉底式追问训练，标注你的薄弱 环节以便课前重温。当用户说"准备明天的课""课堂提问[案例]""[老师]可能在 [案例]上问什么"或指向指定阅读材料时使用。
- argument-hint
- [案例名称, 或粘贴案例文本, 或阅读材料路径]
/cold-call-prep
- 加载
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ 课程列表、授课教师、学习风格。 - 应用以下工作流。
- 识别阅读材料（案例名称 + 来源、授课教师、课程、教学大纲背景）。
- 预测跨类别的 6-10 个可能问题（基本案情 / 裁判要旨 / 裁判理由 / 法律适用 / 理论政策），按教师已知倾向加权。
- 以苏格拉底式追问模式训练——提问，等待，追问，卡住时缩小问题范围。不给答案。
- 训练后总结：强项/薄弱/错过；课前需重新核实的内容。
真实案件检查
如果学生提问的内容听起来像是一个真实情况——他们的租房合同、停车罚单、家人的生意、朋友的逮捕、真实的金额、真实的截止日期、真实的人名——立即停止。
"这听起来像是一个真实情况，而非假设性题目。我不能给你法律建议，你也不能——你还不是执业律师。如果这是真实的，当事人需要一名真正的律师：法律援助中心、你学校的法律诊所、当地律师协会的律师推荐服务，或（如果有费用）聘请私人律师。我很乐意帮你理解相关的法律概念，但那是学习，不是法律建议。"
注意以下触发信号：真实姓名、真实地址、真实日期、具体金额、"我的房东/老板/父母/朋友""我收到了罚单/信函/通知"、以天为单位的截止日期。任意一个信号都应触发此警告。
目的
课堂提问的成败在于准备。老师反复读过该案例数十次，知道要问什么；学生只读了一次。本技能缩小这个差距——预测案例的可能问题模式，训练学生回答，并揭示尚未锁定的内容。
不是阅读案例的替代品。是检验你是否真正读了的测试。
置信纪律
- 当学生提供案例文本或教材节选时：我基于实际文本预测问题。有把握。
- 当学生仅提供案例名称时：我基于我所知道的案例进行预测。对依赖案例细节我不确定的问题标注
[不确定]。强烈建议学生先粘贴案例或教材处理内容。 - 如果我对该案例了解不够：直说。"我无法可靠地解读这个案例——粘贴案例文本或教材处理内容，我可以据此工作。否则我的问题只是基于知识的猜测。"
加载上下文
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md→ 当前课程、授课教师、学习风格- 用户提供：案例名称 / 案例文本 / 教材页码 / 阅读清单
工作流
第1步：识别阅读材料 + 授课教师
- 案例名称和来源
- 授课教师（从
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md课程列表——语气和关注重点因教师而异） - 课程/学科领域
- 该案例在教学大纲中的位置（用于背景判断——这是该主题的第一个案例、限缩性案例、还是反例？）
第2步：预测问题
教师课堂提问有重复出现的模式。按以下类别预测：
基本案情层面（预热）：
- 当事人是谁？发生了什么？审理经过（程序历程）？
- 一审法院怎么判的？下级上诉法院怎么判的？
- 为什么这个案例出现在教材中？它在说明什么主题？
裁判要旨 / 规则：
- 裁判要旨是什么？一句话。
- 从这个案例中得出的规则是什么——可迁移的要点？
- 如果写进大纲，规则怎么表述？
裁判理由：
- 法院为什么这样判？
- 法院拒绝了哪些论点？
- 有反对意见吗？主张什么？
法律适用 / 假设变体：
- 如果 [事实 X] 不同——结论是否相同？
- 这个案例与 [教学大纲中的前序案例] 相比如何？
- 该规则的边界在哪里？规则在哪里停止适用？
政策 / 理论：
- 法院保护的政策目标是什么？
- 该规则是否合理？替代方案有哪些？
教师个人风格（来自 ~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md 备注）：
- 如果教师以假设情景密集著称，加权法律适用/假设问题
- 如果以政策理论著称，加权政策/理论问题
- 如果以事实型苏格拉底式追问著称（传统法学院互动式风格），加权基本案情 + 裁判要旨
挑选跨这些类别的 6-10 个问题。按被首先提问的可能性排序（基本案情通常最先，然后裁判要旨，然后更难的类别）。
第3步：训练
使用 socratic-drill 模式：
- 提问第1题。等待回答。
- 如果正确 + 推理充分：确认，进入第2题。
- 如果正确但潦草：不要放过。"你结论对了，但解释——为什么法院的推理支持这个结论？"
- 如果错误：不要给答案。提出一个缩小范围的问题。"法院依赖什么事实？"引导他们找到答案。
- 如果卡住：进一步缩小。"在裁判要旨之前——审理经过是什么？"
- 如果确实无法回答：让他们重新阅读案例。"这是重新阅读，不是靠猜测闯关。再读一遍后回来。"
第4步：训练后总结
结束时：
# 课堂提问准备——[案例]——[日期]
**训练问题数：** [N]
**强项：** [自信 + 正确的问题]
**薄弱：** [猜测或含糊其辞的问题]
**错过：** [不知道的问题]
## 明天课前：
- [需重新核实的具体事项——他们搞错的事实、他们无法陈述的规则]
- [如果政策/理论薄弱："重新阅读反对意见——通常政策问题来自那里"]
## 课堂上可能出现的问题：
- [10个中的前3个——教师最可能首先提出的问题]技能联动
- case-brief： 如果学生尚未做案例摘要，在课堂提问准备之前先提议运行
/law-student:case-brief。摘要也是课堂提问准备的工具。 - socratic-drill： 如果准备揭示该学科（而不仅是该案例）的薄弱环节，接着用
/law-student:socratic-drill [学科]。 - flashcards： 如果该案例的规则是学生应该记忆的，提议添加到记忆卡片组中。
本技能不做什么
- 扮演老师。 实际的课堂提问可能走向任何方向。本技能预测模式；老师会带来意外。
- 替代阅读案例。 如果你没读案例，本技能帮不了你——问题需要你已经吸收的文本。
- 在没有先让你尝试的情况下给你裁判要旨。 训练模式：我问，你答。
- 预测特定法域的细分问题。 如果教师有已知的个人偏好，将其记录在
~/.claude/plugins/config/claude-for-legal/law-student/CLAUDE.md课程备注中，技能可以据此加权；否则，技能按一般模式工作。
© zhou210712, Apache-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
Just SKILL.md in law-student/skills/cold-call-prep of zhou210712/claude-for-legal-ZH.
Open the folder on GitHubat commit 2f01c92
Compare with similar skills
Cold Call Prep 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 |
|---|---|---|---|---|---|---|
| Cold Call Prep this skillzhou210712/claude-for-legal-ZH | 225 | — | ~775 | Automated safety check: Pass | Apache-2.0 | |
| Luopan Company Researchzhangxiaoqiang1991/luopan | 389 | — | ~998 | Automated safety check: Pass | MIT | |
| Company Researchstophobia/deerflow2.0-enhanced | 822 | — | ~845 | Automated safety check: Pass | MIT | |
| Meeting Prep BriefBrianRWagner/ai-marketing-claude-code-skills | 441 | — | ~922 | Automated safety check: Pass | None | |
| SdtStopDisTrain/sdt-skills | 309 | — | ~535 | Automated safety check: Pass | MIT | |
| Account Researchextruct-ai/gtm-skills | 109 | — | ~1.6k | Automated safety check: Pass | None |
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Sdt
StopDisTrain/sdt-skills
SDT 内容生产工具箱的总入口：根据当前任务选择最合适的 sdt- 模块，既能完成标题、开头等单一步骤，也能组织从账号研究到发布的完整流程。用户不知道该用哪个 SDT Skill，或希望一站式完成内容生产时使用。
Account Research
extruct-ai/gtm-skills
Deep-research a single target account into a decision-ready dossier: the entity tree, the buying units and decision-makers, live signals (open/closed roles, leadership moves, news, tech stack), and…
Call Prep
breakstageaxe61/genspark-claw
Prepare an AI phone call end-to-end — research the callee, set a concrete objective and fallback, draft a natural call script with branching, and produce a post-call summary template.
More from zhou210712/claude-for-legal-ZH
All 122 skills in this repoClaim Chart
zhou210712/claude-for-legal-ZH
构建或审查要件分析表——专利权利要求对照表（侵权、无效或审查）或 民事构成要件分析表（任何诉讼请求或抗辩），每个单元格附精确引用， 缺口检测为优先输出。当用户要求要件分析表、权利要求对照表、 证据对照表、侵权或无效主张、逐要件映射，或问"我们证明[主张]还缺什么"时使用。
Client Intake
zhou210712/claude-for-legal-ZH
结构化接待——实践领域模板、跨领域考点识别、利益冲突标记、分流分类. An agent skill from zhou210712/claude-for-legal-ZH.
Gap Surfacer
zhou210712/claude-for-legal-ZH
参考资料：支持 /regulatory-legal:gaps 和 /regulatory-legal:comments 的共享差距和意见征集跟踪框架。跟踪未关闭的政策差距及其整改状态， 从 policy-diff 中获取差距，呈现开放和即将到期的事项，路由给负责人， 并通过企业通讯工具通知差距负责人，每次发送前需确认。
Launch Review
zhou210712/claude-for-legal-ZH
对照您的框架和风险校准进行全面产品上线审查。当用户说"审查这个上线" "[功能]法务审查""我们能上线吗""[产品]有什么法律问题"或引用了需要 逐类审查备忘录的产品需求文档或上线追踪工单时使用。
Reg Feed Watcher
zhou210712/claude-for-legal-ZH
检查法规动态源，报告自上次检查以来的新事项，按重要度阈值过滤。适用于用户说"检查法规动态"、"有什么新规定"、"法规更新"、从定时任务触发执行，或手动粘贴法规动态进行分类和差异分析时。
Renewal Tracker
zhou210712/claude-for-legal-ZH
展示具有即将到来的取消截止日期的合同，在通知窗口关闭前发出预警， 基于维护的续约登记册运行。当用户询问"什么即将续约""哪些续约即将到期" "我们是否错过了取消窗口""将此添加到续约追踪器"时使用，或按计划运行。
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Questions about Cold Call Prep
What does Cold Call Prep do?
课堂提问准备——预测老师可能提问的问题并以苏格拉底式追问训练，标注你的薄弱 环节以便课前重温。当用户说"准备明天的课""课堂提问[案例]""[老师]可能在 [案例]上问什么"或指向指定阅读材料时使用。. Cold Call Prep is an agent skill from zhou210712/claude-for-legal-ZH.
When should I use Cold Call Prep?
Cold Call Prep fits situations like: tasks that involve Sales call preparation.
How do I install Cold Call Prep in Claude Code?
Run `npx skills add zhou210712/claude-for-legal-ZH --skill cold-call-prep -a claude-code`. Or copy the skill folder (law-student/skills/cold-call-prep in zhou210712/claude-for-legal-ZH) into .claude/skills/cold-call-prep in your project. Claude Code loads it when a task matches its description.
How do I install Cold Call Prep in Codex?
Run `npx skills add zhou210712/claude-for-legal-ZH --skill cold-call-prep -a codex`. Or copy the skill folder (law-student/skills/cold-call-prep in zhou210712/claude-for-legal-ZH) into .agents/skills/cold-call-prep in your project. Codex loads it when a task matches its description.
Can I use Cold Call Prep 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 zhou210712/claude-for-legal-ZH --skill cold-call-prep -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/cold-call-prep, .gemini/skills/cold-call-prep, .github/skills/cold-call-prep and .opencode/skills/cold-call-prep in your project.
What does Cold Call Prep need to run?
SKILL.md names no scripts, command-line tools or credentials: Cold Call Prep is instructions for the agent only.
Does Cold Call Prep 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 Cold Call Prep 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 Cold Call Prep use?
Cold Call Prep is published under the Apache-2.0 licence (the repository's licence). It allows redistribution, so the full SKILL.md is shown on this page.
How many tokens does Cold Call Prep use?
About 775 tokens (SKILL.md is roughly 3.1k characters). Agents keep only the skill's name and description in context until a task matches; then they load SKILL.md in full.
What are the alternatives to Cold Call Prep?
Skills that share tags, products or a category with Cold Call Prep: Luopan Company Research (zhangxiaoqiang1991/luopan, 389 stars), Company Research (stophobia/deerflow2.0-enhanced, 822 stars), Meeting Prep Brief (BrianRWagner/ai-marketing-claude-code-skills, 441 stars) and Sdt (StopDisTrain/sdt-skills, 309 stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.
Who maintains Cold Call Prep?
zhou210712 (a GitHub user) maintains it in zhou210712/claude-for-legal-ZH, which has 225 GitHub stars. The repository holds 122 skills in this directory. The repository was last updated on May 15, 2026.
Source: zhou210712/claude-for-legal-ZH on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.