Agent skill

Create Master

by tradecatlabs in tradecatlabs/fatecat

“基于佛教经典文献,生成特定高僧大德的 AI 教学角色”

— description from SKILL.md by tradecatlabs
MITAuto-check: notesBackend & APIs

Install Create Master

skills CLI
$ npx skills add tradecatlabs/fatecat --skill create-master -a claude-code

Project install by default; add -g for ~/.claude/skills/.

GitHub CLI
$ gh skill install tradecatlabs/fatecat create-master --agent claude-code

Project scope by default; add --scope user for a personal install. Needs GitHub CLI 2.90.0 or later (public preview).

Manual copy
$ git clone --depth 1 https://github.com/tradecatlabs/fatecat.git skills-src && mkdir -p .claude/skills && cp -r skills-src/tools/reference-repos/github/Master-skill-main .claude/skills/create-master && rm -rf skills-src

Use ~/.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/

Facts

Skill name
create-master
GitHub stars
202
Token cost
~1.2k tokens
SKILL.md length
336 words
Files
124 (incl. scripts, references)
Skills in repo
5
Repo updated
First seen
Licence
MIT

At a glance

  • Works in 6 steps: :信息录入 → :数据采集 → :分析与生成 → …
  • SKILL.md covers 触发条件, 预置法师(直接调用,无需生成), 教学模式(多祖师协作) and 主流程(生成新法师), plus 6 more sections

About this skill

Create Master is a skill in tradecatlabs/fatecat (202 stars). Its SKILL.md is about 1.2k tokens, with 123 other files in the folder (scripts, references). Licence: MIT.

Requirements

  • Pre-approved tools (allowed-tools): Bash, Read, Write, Edit, Glob, Grep, WebFetch

Workflow steps

6 steps, taken from the step headings in SKILL.md.

  1. :信息录入
  2. :数据采集
  3. :分析与生成
  4. 5:二阶段审查
  5. :预览与确认
  6. :写入文件

What it can do on your machine

Read from SKILL.md and the folder at commit c9b9857. It shows what the files ask for, not the result of running them.

  • Tool permissions

    Pre-approves these tools, so the agent can use them without asking each time:

    • Bash
    • Read
    • Write
    • Edit
    • Glob
    • Grep
    • WebFetch

    From allowed-tools in the SKILL.md frontmatter.

  • Runs code

    Ships 1 file in scripts/, which the agent can run.

    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

Create Master loads about 1.2k tokens when it runs, and up to ~12k if it reads all its reference files. Until then it costs about 10 tokens; SKILL.md has 336 words of instructions outside code blocks.

Always · name and description, kept in context so the agent knows when to use it
~10
When it runs · the whole SKILL.md, loaded when a task matches
~1.2k
With references · SKILL.md plus every file in references/, read only if the agent opens them
~12k

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: notes

The automated check noted patterns worth knowing about, such as sudo or a known installer.

  • NotePre-approves every shell command (allowed-tools: Bash)SKILL.md
    allowed-tools: Bash, Read, Write, Edit, Glob, Grep, WebFetch

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); the scripts in this folder are not scanned.

SKILL.md

The full file from tradecatlabs/fatecat at commit c9b9857, republished under its MIT licence (© tradecatlabs). 336 words, ~1,223 tokens.

Download SKILL.mdSave it as .claude/skills/create-master/SKILL.md (or your agent's skills folder). This skill also uses 123 other files; get the full folder from GitHub.
name
create-master
description
基于佛教经典文献,生成特定高僧大德的 AI 教学角色
allowed-tools
Bash, Read, Write, Edit, Glob, Grep, WebFetch
argument-hint
<法师名称>
version
1.0.0
user-invocable
true

Master-skill — 佛教法师教学角色生成器

本内容依据历史佛教文献生成,仅供参考学习。如需正式修行指导,请亲近善知识。

触发条件

  • /create-master 或 /create-master <法师名>
  • "帮我创建一个印光大师的教学角色"
  • "生成慧能大师的 AI Skill"
  • "我想和玄奘法师学习"

预置法师(直接调用,无需生成)

印度

  • /master-nagarjuna — 龙树菩萨(印度·中观|八宗共祖)

汉传

  • /master-xuanzang — 玄奘法师(法相唯识宗)
  • /master-kumarajiva — 鸠摩罗什(三论宗/中观)
  • /master-huineng — 慧能大师(禅宗六祖)
  • /master-zhiyi — 智顗大师(天台宗)
  • /master-fazang — 法藏大师(华严宗)
  • /master-yinguang — 印光大师(净土宗)
  • /master-ouyi — 蕅益大师(天台/净土·跨宗派)
  • /master-xuyun — 虚云老和尚(禅宗·五宗兼嗣)

藏传

  • /master-atisha — 阿底峡尊者(噶当派开祖 · 三士道 · 982-1054)
  • /master-tsongkhapa — 宗喀巴大师(格鲁派创始人 · 三主要道 · 1357-1419)
  • /master-milarepa — 米拉日巴尊者(噶举派 · 大手印 · 1052-1135)

南传

  • /master-buddhaghosa — 觉音尊者(上座部论师 · 《清净道论》· 5世纪)
  • /master-mahasi-sayadaw — 马哈希尊者(缅甸内观 · 标记法 · 1904-1982)
  • /master-ajahn-chah — 阿姜查(泰国森林禅林派 · 1918-1992)

教学模式(多祖师协作)

  • /compare-masters — 多位法师对同一问题的并列对比(横向 / 单轮)
  • /master-debate — 祖师就争议议题进行 4 轮交叉辩论(多轮 / 看分歧)
  • /master-curriculum — 按你的传统给出"根基→深入→精研→盲点"学修路径(纵向时序)

选择哪个模式?读 references/teaching-modes.md(含决策树与示例)。

主流程(生成新法师)

Step 1:信息录入

加载 ${CLAUDE_SKILL_DIR}/prompts/intake.md,3 问模式收集:①法师名称(FoJin KG 自动匹配) ②关注方面(教义/修行/讲解/全部) ③语言偏好(按传承默认)。

快捷入口、KG 匹配兜底、名称校验规则细节 → references/workflow-details.md §Step 1。

Step 2:数据采集

使用 ${CLAUDE_SKILL_DIR}/tools/sutra_collector.py --name "<法师名>" --tradition "<传承>" 从 FoJin 采集知识图谱实体、经典内容、传承术语。采集后用 verify_sources.py --check-links 验证 CBETA / BDRC / SC ID。

API 故障 / 超时 / 数据阈值 / 引用规则细节 → references/workflow-details.md §Step 2 + references/source-conventions.md。

Step 3:分析与生成

两阶段分析:教义(prompts/sutra_analyzer.md)→ 风格(prompts/voice_analyzer.md);按 FoJin KG 宗派标签自动选择风格规则。然后 prompts/teaching_builder.md 生成 teaching.md、prompts/voice_builder.md 生成 voice.md(4 层结构)。RAG 检索指引由 prompts/rag_instructions.md 嵌入。

宗派标签清单、Layer 0-3 含义、质量门控阈值 → references/workflow-details.md §Step 3。

Step 3.5:二阶段审查

教义准确性(doctrine_reviewer.md,CBETA 经证覆盖率 ≥ 90%) → 风格一致性(voice_reviewer.md,Layer 0 硬规则完整)。审查顺序不可颠倒。FAIL → 自动修复重审,最多 2 轮,仍 FAIL → 人工介入。

Step 4:预览与确认

展示 teaching.md / voice.md 结构化预览给用户。用户可要求修改特定教义、调整语气、补充主题、整体重新生成。

Step 5:写入文件

master_builder.py --name "<法师名>" --output masters/ 写入 masters/{slug}/{SKILL.md,teaching.md,voice.md,meta.json}。写入前 verify_sources.py --final-check 最终验证,无效链接降级为 FoJin 搜索链接。

OpenClaw / Claude Code 注册路径 → references/workflow-details.md §Step 5。

追加材料、纠正、管理命令

  • 追加材料:用户说"给{法师}追加{经文}"或"补充关于{主题}" → 加载 prompts/merger.md 增量合并;版本号自动 minor 递增;旧版本归档 .versions/。
  • 纠正模式:用户说"他不会这样说话/他应该更严厉" → 加载 prompts/correction_handler.md;以 ## Correction 块追加到 teaching.md / voice.md 末尾;patch 递增。
  • 管理命令:/list-masters(列出所有,标 [预置]/[自定义])、/master-rollback <slug> <version>(回滚,自动归档当前)、/delete-master <slug>(删除,预置不可删,需二次确认)。

冲突处理策略、版本号细节、用户确认文案 → references/workflow-details.md §追加纠正管理。

执行优先级(运行时)

  1. voice.md Layer 0 硬规则
  2. Correction 记录
  3. voice.md Layer 1-3
  4. teaching.md 教义内容
  5. FoJin RAG 实时检索
  6. LLM 自身知识

冲突时高优先级覆盖低优先级。示例与典型冲突场景 → references/workflow-details.md §执行优先级。

工具路由

任务工具
FoJin 数据查询${CLAUDE_SKILL_DIR}/tools/fojin_bridge.py
FoJin 实时检索${CLAUDE_SKILL_DIR}/tools/rag_query.py
经文采集${CLAUDE_SKILL_DIR}/tools/sutra_collector.py
角色生成${CLAUDE_SKILL_DIR}/tools/master_builder.py
文件写入${CLAUDE_SKILL_DIR}/tools/skill_writer.py
版本管理${CLAUDE_SKILL_DIR}/tools/version_manager.py
来源验证${CLAUDE_SKILL_DIR}/tools/verify_sources.py
教义审查${CLAUDE_SKILL_DIR}/prompts/doctrine_reviewer.md
风格审查${CLAUDE_SKILL_DIR}/prompts/voice_reviewer.md

KG 深度遍历 / 跨词典对比等 rag_query.py 不够用的场景 → references/fojin-api.md(REST API 完整参考)。

铁律(HARD-GATE)

  • NO DOCTRINAL CLAIM WITHOUT CBETA CITATION — teaching.md 所有教义断言必须附 CBETA 经证
  • NO FABRICATED SOURCES — 不得编造 CBETA ID / 经文 / FoJin 链接,所有引用必经 verify_sources.py 验证
  • NO FICTIONAL PERSONAS — 仅历史真实人物,不为虚构角色创建

完整理性化防御表、红旗清单、ETHICS.md 运行时摘要 → references/ethics-runtime.md。

敏感性边界(一句话)

不评宗派优劣 · 不宣神通感应 · 不涉政治议题 · 不代用户做重大决定 · 不替代真善知识。

涉及"祖师怎么看 XX 现代议题"边界场景 → references/ethics-runtime.md。

按需载入(progressive disclosure 路由)

触发场景读
用户问三大传统差异、宗派定位references/traditions.md
用户给出 T-/X-/SC-/Toh-/W- 引用,需验证或解析references/source-conventions.md
用户问"祖师怎么看 XX 现代议题"边界场景、AI 透明度、版权references/ethics-runtime.md
用户犹豫该用 compare / debate / curriculum 哪个references/teaching-modes.md
进入主流程 Step 1-5 任一步的细节、错误兜底、追加/纠正策略references/workflow-details.md
需要直接打 FoJin REST API(KG 深度遍历等)references/fojin-api.md
治理文档:完整 ETHICS、版权分级、Tier B 授权流程根目录 ETHICS.md

© tradecatlabs, 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 123 other files (scripts, references) in tools/reference-repos/github/Master-skill-main of tradecatlabs/fatecat.

  • SKILL.md
  • .claude-plugin/marketplace.json
  • .claude-plugin/plugin.json
  • .codex/INSTALL.md
  • .cursor-plugin/plugin.json
  • .github/ISSUE_TEMPLATE/boundary_violation.yml
  • .github/ISSUE_TEMPLATE/bug_report.yml
  • .github/ISSUE_TEMPLATE/config.yml
  • .github/ISSUE_TEMPLATE/feature_request.yml
  • .github/ISSUE_TEMPLATE/new_master.yml
  • .github/PULL_REQUEST_TEMPLATE.md
  • .github/dependabot.yml
  • .github/workflows/npm-publish.yml
  • .github/workflows/persona-fidelity.yml
  • .github/workflows/validate-and-test.yml
  • … and 109 more

Open the folder on GitHubat commit c9b9857

Compare with similar skills

Create Master 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.

Create Master compared with similar skills
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Create Master this skilltradecatlabs/fatecat202—~1.2kAutomated safety check: NotesMIT
Scrapecreators APIScrapeCreators/social-media-research-skills3.3k1 repos~4kAutomated safety check: NotesMIT
Altium Schematic ReaderTansuo2021/ADtoKeil188—~1.4kAutomated safety check: PassGPL-3.0
Apollo OutreachOpenClaudia/openclaudia-skills711—~1.4kAutomated safety check: NotesMIT
Crisis Response Planneraaron-he-zhu/aaron-marketing-skills2.9k—~3.5kAutomated safety check: PassApache-2.0
Mailcoachfreekmurze/dotfiles1k—~1.3kAutomated safety check: PassNone

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Questions about Create Master

How do I install Create Master in Claude Code?

Run `npx skills add tradecatlabs/fatecat --skill create-master -a claude-code`. Or copy the skill folder (tools/reference-repos/github/Master-skill-main in tradecatlabs/fatecat) into .claude/skills/create-master in your project. Claude Code loads it when a task matches its description.

How do I install Create Master in Codex?

Run `npx skills add tradecatlabs/fatecat --skill create-master -a codex`. Or copy the skill folder (tools/reference-repos/github/Master-skill-main in tradecatlabs/fatecat) into .agents/skills/create-master in your project. Codex loads it when a task matches its description.

Can I use Create Master 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 tradecatlabs/fatecat --skill create-master -a cursor` (or -a gemini-cli, github-copilot or opencode for the others). To copy it by hand, put the folder in .cursor/skills/create-master, .gemini/skills/create-master, .github/skills/create-master and .opencode/skills/create-master in your project.

What does Create Master need to run?

SKILL.md names no scripts, command-line tools or credentials: Create Master is instructions for the agent only. Its frontmatter pre-approves these tools: Bash, Read, Write, Edit, Glob, Grep, WebFetch.

Does Create Master 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 Create Master safe to install?

Our automated static check of SKILL.md found notes only (pre-approves every shell command (allowed-tools: bash)), nothing it rates as a warning. It is not a guarantee. The check reads SKILL.md only: the scripts in the folder are not scanned, so read them before running anything.

What licence does Create Master use?

Create Master is published under the MIT licence (from the LICENSE file in the skill folder). It allows redistribution, so the full SKILL.md is shown on this page.

How many tokens does Create Master use?

About 1.2k tokens (SKILL.md is roughly 4.9k 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 11k tokens, read only when the agent opens those files.

What are the alternatives to Create Master?

Skills that share tags, products or a category with Create Master: Scrapecreators API (ScrapeCreators/social-media-research-skills, 3.3k stars), Altium Schematic Reader (Tansuo2021/ADtoKeil, 188 stars), Apollo Outreach (OpenClaudia/openclaudia-skills, 711 stars) and Crisis Response Planner (aaron-he-zhu/aaron-marketing-skills, 2.9k stars). The comparison table on this page puts their stars, adoption, token cost, safety result and licence side by side.

Who maintains Create Master?

tradecatlabs (a GitHub user) maintains it in tradecatlabs/fatecat, which has 202 GitHub stars. The repository holds 5 skills in this directory. The repository was last updated on August 25, 2026.

Source: tradecatlabs/fatecat on GitHub. Facts on this page come from the repository at the commit we read; the author's words are quoted as theirs.