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English

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Chinese

Fabric Skill

Setup Check - Fabric Repository

环境检查 - Fabric 仓库

IMPORTANT: Before using this skill, verify the Fabric repository is available:

bash

undefined

重要提示：使用此Skill前，请确认Fabric仓库已存在：

bash

undefined

Check if Fabric repo exists

if [ ! -d "$HOME/.claude/skills/fabric/fabric-repo" ]; then echo "Fabric repository not found. Cloning..." cd "$HOME/.claude/skills/fabric" git clone https://github.com/danielmiessler/fabric.git fabric-repo echo "Fabric repository cloned successfully." else echo "Fabric repository found at $HOME/.claude/skills/fabric/fabric-repo" fi


**If the repo doesn't exist, clone it immediately before proceeding with any pattern selection.**


**如果仓库不存在，请在进行任何模式选择前立即克隆。**

When to Activate This Skill

何时激活此Skill

Primary Use Cases:

"Create a threat model for..."
"Summarize this article/video/paper..."
"Extract wisdom/insights from..."
"Analyze this [code/malware/claims/debate]..."
"Improve my writing/code/prompt..."
"Create a [visualization/summary/report]..."
"Rate/review/judge this content..."

The Goal: Select the RIGHT pattern from 242+ available patterns based on what you're trying to accomplish.

主要适用场景：

"为……创建威胁模型"
"总结这篇文章/视频/论文……"
"从……中提取观点/洞察"
"分析这段[代码/恶意软件/声明/辩论内容]……"
"优化我的写作/代码/提示词……"
"创建[可视化图表/摘要/报告]……"
"评分/评审/评判这段内容……"

核心目标： 根据你的任务需求，从242+个可用模式中选择最合适的一个。

🎯 Pattern Selection Strategy

🎯 模式选择策略

When a user requests Fabric processing, follow this decision tree:

当用户请求使用Fabric处理任务时，请遵循以下决策流程：

1. Identify Intent Category

1. 识别意图类别

Threat Modeling & Security:

Threat model →

create_threat_model

create_stride_threat_model

Threat scenarios →
```
create_threat_scenarios
```
Security update →
```
create_security_update
```

Security rules →

create_sigma_rules

write_nuclei_template_rule

write_semgrep_rule

Threat analysis →

analyze_threat_report

analyze_threat_report_trends

Summarization:

General summary →
```
summarize
```
5-sentence summary →
```
create_5_sentence_summary
```
Micro summary →
```
create_micro_summary
```
or
```
summarize_micro
```
Meeting →
```
summarize_meeting
```
Paper/research →
```
summarize_paper
```
Video/YouTube →
```
youtube_summary
```
Newsletter →
```
summarize_newsletter
```
Code changes →
```
summarize_git_changes
```
or
```
summarize_git_diff
```

Wisdom Extraction:

General wisdom →
```
extract_wisdom
```
Article wisdom →
```
extract_article_wisdom
```
Book ideas →
```
extract_book_ideas
```
Insights →
```
extract_insights
```
or
```
extract_insights_dm
```
Main idea →
```
extract_main_idea
```
Recommendations →
```
extract_recommendations
```
Controversial ideas →
```
extract_controversial_ideas
```

Analysis:

Malware →
```
analyze_malware
```
Code →
```
analyze_code
```
or
```
review_code
```
Claims →
```
analyze_claims
```
Debate →
```
analyze_debate
```
Logs →
```
analyze_logs
```
Paper →
```
analyze_paper
```
Threat report →
```
analyze_threat_report
```
Product feedback →
```
analyze_product_feedback
```
Sales call →
```
analyze_sales_call
```

Content Creation:

PRD →
```
create_prd
```
Design document →
```
create_design_document
```
User story →
```
create_user_story
```

Visualization →

create_visualization

create_mermaid_visualization

create_markmap_visualization

Essay →
```
write_essay
```
Report finding →
```
create_report_finding
```
Newsletter entry →
```
create_newsletter_entry
```

Improvement:

Writing →
```
improve_writing
```
Academic writing →
```
improve_academic_writing
```
Prompt →
```
improve_prompt
```
Report finding →
```
improve_report_finding
```
Code →
```
review_code
```

Rating/Evaluation:

AI response →
```
rate_ai_response
```
Content quality →
```
rate_content
```
Value assessment →
```
rate_value
```
General judgment →
```
judge_output
```

威胁建模与安全：

威胁建模 →

create_threat_model

或

create_stride_threat_model

威胁场景生成 →
```
create_threat_scenarios
```
安全更新文档 →
```
create_security_update
```

安全规则编写 →

create_sigma_rules

write_nuclei_template_rule

write_semgrep_rule

威胁报告分析 →

analyze_threat_report

analyze_threat_report_trends

摘要生成：

通用摘要 →
```
summarize
```
5句精简摘要 →
```
create_5_sentence_summary
```
微型摘要 →
```
create_micro_summary
```
或
```
summarize_micro
```
会议摘要 →
```
summarize_meeting
```
学术论文摘要 →
```
summarize_paper
```
YouTube视频摘要 →
```
youtube_summary
```
通讯稿摘要 →
```
summarize_newsletter
```
Git变更摘要 →
```
summarize_git_changes
```
或
```
summarize_git_diff
```

观点提取：

通用观点提取 →
```
extract_wisdom
```
文章观点提取 →
```
extract_article_wisdom
```
书籍创意提取 →
```
extract_book_ideas
```
洞察提取 →
```
extract_insights
```
或
```
extract_insights_dm
```
核心思想提取 →
```
extract_main_idea
```
建议提取 →
```
extract_recommendations
```
争议观点提取 →
```
extract_controversial_ideas
```

分析类：

恶意软件分析 →
```
analyze_malware
```
代码分析 →
```
analyze_code
```
或
```
review_code
```
声明验证 →
```
analyze_claims
```
辩论分析 →
```
analyze_debate
```
日志分析 →
```
analyze_logs
```
论文分析 →
```
analyze_paper
```
威胁报告分析 →
```
analyze_threat_report
```
产品反馈分析 →
```
analyze_product_feedback
```
销售通话分析 →
```
analyze_sales_call
```

内容创作：

PRD文档 →
```
create_prd
```
设计文档 →
```
create_design_document
```
用户故事 →
```
create_user_story
```

可视化图表 →

create_visualization

create_mermaid_visualization

create_markmap_visualization

文章写作 →
```
write_essay
```
报告结论 →
```
create_report_finding
```
通讯稿内容 →
```
create_newsletter_entry
```

优化改进：

写作优化 →
```
improve_writing
```
学术写作优化 →
```
improve_academic_writing
```
提示词优化 →
```
improve_prompt
```
报告结论优化 →
```
improve_report_finding
```
代码评审 →
```
review_code
```

评分/评估：

AI响应评分 →
```
rate_ai_response
```
内容质量评分 →
```
rate_content
```
价值评估 →
```
rate_value
```
综合评判 →
```
judge_output
```

2. Execute Pattern

2. 执行模式

bash

undefined

bash

undefined

Basic format

fabric [input] -p [selected_pattern]

From URL

fabric -u "URL" -p [pattern]

From YouTube

fabric -y "YOUTUBE_URL" -p [pattern]

From file

cat file.txt | fabric -p [pattern]

Direct text

fabric "your text here" -p [pattern]

undefined

fabric "your text here" -p [pattern]

undefined

📚 Pattern Categories (242 Total)

📚 模式分类（共242个）

Threat Modeling & Security (15 patterns)

威胁建模与安全（15个模式）

```
create_threat_model
```
- General threat modeling
```
create_stride_threat_model
```
- STRIDE methodology
```
create_threat_scenarios
```
- Threat scenario generation
```
create_security_update
```
- Security update documentation
```
create_sigma_rules
```
- SIGMA detection rules
```
write_nuclei_template_rule
```
- Nuclei scanner templates
```
write_semgrep_rule
```
- Semgrep static analysis rules
```
analyze_threat_report
```
- Threat report analysis
```
analyze_threat_report_cmds
```
- Extract commands from threat reports
```
analyze_threat_report_trends
```
- Identify threat trends
```
t_threat_model_plans
```
- Threat model for plans
```
ask_secure_by_design_questions
```
- Secure by design questions
```
create_network_threat_landscape
```
- Network threat landscape
```
analyze_incident
```
- Incident analysis
```
analyze_risk
```
- Risk analysis

```
create_threat_model
```
- 通用威胁建模
```
create_stride_threat_model
```
- 基于STRIDE方法论的威胁建模
```
create_threat_scenarios
```
- 威胁场景生成
```
create_security_update
```
- 安全更新文档编写
```
create_sigma_rules
```
- SIGMA检测规则生成
```
write_nuclei_template_rule
```
- Nuclei扫描器模板编写
```
write_semgrep_rule
```
- Semgrep静态分析规则编写
```
analyze_threat_report
```
- 威胁报告分析
```
analyze_threat_report_cmds
```
- 从威胁报告中提取命令
```
analyze_threat_report_trends
```
- 识别威胁趋势
```
t_threat_model_plans
```
- 针对计划的威胁建模
```
ask_secure_by_design_questions
```
- 安全设计相关问题提问
```
create_network_threat_landscape
```
- 网络威胁态势生成
```
analyze_incident
```
- 事件分析
```
analyze_risk
```
- 风险分析

Summarization (20 patterns)

摘要生成（20个模式）

```
summarize
```
- General summarization
```
create_5_sentence_summary
```
- Ultra-concise 5-line summary
```
create_micro_summary
```
- Micro summary
```
create_summary
```
- Detailed summary
```
summarize_micro
```
- Micro summarization
```
summarize_meeting
```
- Meeting notes summary
```
summarize_paper
```
- Academic paper summary
```
summarize_lecture
```
- Lecture summary
```
summarize_newsletter
```
- Newsletter summary
```
summarize_debate
```
- Debate summary
```
summarize_legislation
```
- Legislation summary
```
summarize_rpg_session
```
- RPG session summary
```
summarize_board_meeting
```
- Board meeting summary
```
summarize_git_changes
```
- Git changes summary
```
summarize_git_diff
```
- Git diff summary
```
summarize_pull-requests
```
- PR summary
```
summarize_prompt
```
- Prompt summary
```
youtube_summary
```
- YouTube video summary
```
create_ul_summary
```
- Unsupervised Learning summary
```
create_cyber_summary
```
- Cybersecurity summary

```
summarize
```
- 通用摘要生成
```
create_5_sentence_summary
```
- 超精简5行摘要
```
create_micro_summary
```
- 微型摘要生成
```
create_summary
```
- 详细摘要生成
```
summarize_micro
```
- 微型摘要生成
```
summarize_meeting
```
- 会议记录摘要
```
summarize_paper
```
- 学术论文摘要
```
summarize_lecture
```
- 讲座内容摘要
```
summarize_newsletter
```
- 通讯稿摘要
```
summarize_debate
```
- 辩论内容摘要
```
summarize_legislation
```
- 法规内容摘要
```
summarize_rpg_session
```
- 角色扮演游戏会话摘要
```
summarize_board_meeting
```
- 董事会会议摘要
```
summarize_git_changes
```
- Git变更内容摘要
```
summarize_git_diff
```
- Git差异内容摘要
```
summarize_pull-requests
```
- 拉取请求摘要
```
summarize_prompt
```
- 提示词摘要
```
youtube_summary
```
- YouTube视频摘要
```
create_ul_summary
```
- 无监督学习内容摘要
```
create_cyber_summary
```
- 网络安全内容摘要

Extraction (30+ patterns)

信息提取（30+个模式）

```
extract_wisdom
```
- General wisdom extraction
```
extract_article_wisdom
```
- Article-specific wisdom
```
extract_book_ideas
```
- Book ideas
```
extract_insights
```
- General insights
```
extract_insights_dm
```
- Daniel Miessler style insights
```
extract_main_idea
```
- Core message
```
extract_recommendations
```
- Recommendations
```
extract_ideas
```
- Ideas from content
```
extract_questions
```
- Questions raised
```
extract_predictions
```
- Predictions made
```
extract_controversial_ideas
```
- Controversial points
```
extract_business_ideas
```
- Business opportunities
```
extract_skills
```
- Skills mentioned
```
extract_patterns
```
- Patterns identified
```
extract_sponsors
```
- Sponsor mentions
```
extract_references
```
- References cited
```
extract_instructions
```
- Instructions from content
```
extract_jokes
```
- Humor extraction
```
extract_primary_problem
```
- Main problem
```
extract_primary_solution
```
- Main solution
```
extract_product_features
```
- Product features
```
extract_core_message
```
- Core message

extract_algorithm_update_recommendations

- Algorithm recommendations

```
extract_extraordinary_claims
```
- Extraordinary claims
```
extract_most_redeeming_thing
```
- Most valuable aspect

```
extract_wisdom
```
- 通用观点提取
```
extract_article_wisdom
```
- 文章特定观点提取
```
extract_book_ideas
```
- 书籍创意提取
```
extract_insights
```
- 通用洞察提取
```
extract_insights_dm
```
- Daniel Miessler风格洞察提取
```
extract_main_idea
```
- 核心思想提取
```
extract_recommendations
```
- 建议提取
```
extract_ideas
```
- 创意提取
```
extract_questions
```
- 问题提取
```
extract_predictions
```
- 预测内容提取
```
extract_controversial_ideas
```
- 争议观点提取
```
extract_business_ideas
```
- 商业机会提取
```
extract_skills
```
- 技能点提取
```
extract_patterns
```
- 模式识别提取
```
extract_sponsors
```
- 赞助商提及内容提取
```
extract_references
```
- 引用内容提取
```
extract_instructions
```
- 操作指令提取
```
extract_jokes
```
- 幽默内容提取
```
extract_primary_problem
```
- 核心问题提取
```
extract_primary_solution
```
- 核心解决方案提取
```
extract_product_features
```
- 产品功能提取
```
extract_core_message
```
- 核心信息提取

extract_algorithm_update_recommendations

- 算法优化建议提取

```
extract_extraordinary_claims
```
- 特殊声明提取
```
extract_most_redeeming_thing
```
- 核心价值点提取

Analysis (35+ patterns)

分析类（35+个模式）

```
analyze_claims
```
- Claim analysis
```
analyze_malware
```
- Malware analysis
```
analyze_code
```
- Code analysis
```
analyze_paper
```
- Paper analysis
```
analyze_logs
```
- Log analysis
```
analyze_debate
```
- Debate analysis
```
analyze_incident
```
- Incident analysis
```
analyze_comments
```
- Comment analysis
```
analyze_answers
```
- Answer analysis
```
analyze_email_headers
```
- Email header analysis
```
analyze_military_strategy
```
- Military strategy
```
analyze_mistakes
```
- Mistake analysis
```
analyze_personality
```
- Personality analysis
```
analyze_presentation
```
- Presentation analysis
```
analyze_product_feedback
```
- Product feedback
```
analyze_proposition
```
- Proposition analysis
```
analyze_prose
```
- Prose analysis
```
analyze_risk
```
- Risk analysis
```
analyze_sales_call
```
- Sales call analysis
```
analyze_spiritual_text
```
- Spiritual text analysis
```
analyze_tech_impact
```
- Tech impact analysis
```
analyze_threat_report
```
- Threat report analysis
```
analyze_bill
```
- Legislation analysis
```
analyze_candidates
```
- Candidate analysis
```
analyze_cfp_submission
```
- CFP submission analysis
```
analyze_terraform_plan
```
- Terraform plan analysis
```
analyze_interviewer_techniques
```
- Interviewer technique analysis

```
analyze_claims
```
- 声明验证分析
```
analyze_malware
```
- 恶意软件分析
```
analyze_code
```
- 代码分析
```
analyze_paper
```
- 学术论文分析
```
analyze_logs
```
- 日志分析
```
analyze_debate
```
- 辩论内容分析
```
analyze_incident
```
- 事件分析
```
analyze_comments
```
- 评论内容分析
```
analyze_answers
```
- 回答内容分析
```
analyze_email_headers
```
- 邮件头分析
```
analyze_military_strategy
```
- 军事策略分析
```
analyze_mistakes
```
- 错误分析
```
analyze_personality
```
- 人格分析
```
analyze_presentation
```
- 演示内容分析
```
analyze_product_feedback
```
- 产品反馈分析
```
analyze_proposition
```
- 提案分析
```
analyze_prose
```
- 散文分析
```
analyze_risk
```
- 风险分析
```
analyze_sales_call
```
- 销售通话分析
```
analyze_spiritual_text
```
- 精神文本分析
```
analyze_tech_impact
```
- 技术影响分析
```
analyze_threat_report
```
- 威胁报告分析
```
analyze_bill
```
- 法规分析
```
analyze_candidates
```
- 候选人分析
```
analyze_cfp_submission
```
- 会议演讲提案分析
```
analyze_terraform_plan
```
- Terraform计划分析
```
analyze_interviewer_techniques
```
- 面试官技巧分析

Creation (50+ patterns)

内容创作（50+个模式）

```
create_prd
```
- Product Requirements Document
```
create_design_document
```
- Design documentation
```
create_user_story
```
- User stories
```
create_coding_project
```
- Coding project
```
create_coding_feature
```
- Code features
```
create_mermaid_visualization
```
- Mermaid diagrams
```
create_markmap_visualization
```
- Markmap mindmaps
```
create_visualization
```
- General visualizations
```
create_threat_model
```
- Threat models
```
create_stride_threat_model
```
- STRIDE threat models
```
create_threat_scenarios
```
- Threat scenarios
```
create_report_finding
```
- Report findings
```
create_newsletter_entry
```
- Newsletter content
```
create_keynote
```
- Keynote presentations
```
create_academic_paper
```
- Academic papers
```
create_flash_cards
```
- Study flashcards
```
create_quiz
```
- Quizzes
```
create_graph_from_input
```
- Graphs
```
create_tags
```
- Content tags
```
create_art_prompt
```
- Art generation prompts
```
create_command
```
- CLI commands
```
create_pattern
```
- Fabric patterns
```
create_logo
```
- Logo designs
```
create_podcast_image
```
- Podcast imagery
```
create_sigma_rules
```
- SIGMA rules
```
create_video_chapters
```
- Video chapters
```
create_upgrade_pack
```
- Upgrade documentation

```
create_prd
```
- 产品需求文档生成
```
create_design_document
```
- 设计文档生成
```
create_user_story
```
- 用户故事编写
```
create_coding_project
```
- 编码项目生成
```
create_coding_feature
```
- 代码功能生成
```
create_mermaid_visualization
```
- Mermaid图表生成
```
create_markmap_visualization
```
- Markmap思维导图生成
```
create_visualization
```
- 通用可视化图表生成
```
create_threat_model
```
- 威胁模型生成
```
create_stride_threat_model
```
- STRIDE威胁模型生成
```
create_threat_scenarios
```
- 威胁场景生成
```
create_report_finding
```
- 报告结论生成
```
create_newsletter_entry
```
- 通讯稿内容生成
```
create_keynote
```
- 主题演讲内容生成
```
create_academic_paper
```
- 学术论文生成
```
create_flash_cards
```
- 学习闪卡生成
```
create_quiz
```
- 测验题生成
```
create_graph_from_input
```
- 图表生成
```
create_tags
```
- 内容标签生成
```
create_art_prompt
```
- 艺术生成提示词创作
```
create_command
```
- CLI命令生成
```
create_pattern
```
- Fabric模式创建
```
create_logo
```
- Logo设计
```
create_podcast_image
```
- 播客封面图设计
```
create_sigma_rules
```
- SIGMA规则生成
```
create_video_chapters
```
- 视频章节生成
```
create_upgrade_pack
```
- 升级文档生成

Improvement (10 patterns)

优化改进（10个模式）

```
improve_writing
```
- General writing improvement
```
improve_academic_writing
```
- Academic writing
```
improve_prompt
```
- Prompt engineering
```
improve_report_finding
```
- Report findings
```
review_code
```
- Code review
```
review_design
```
- Design review
```
refine_design_document
```
- Design refinement
```
humanize
```
- Humanize AI text
```
enrich_blog_post
```
- Blog enhancement
```
clean_text
```
- Text cleanup

```
improve_writing
```
- 通用写作优化
```
improve_academic_writing
```
- 学术写作优化
```
improve_prompt
```
- 提示词优化
```
improve_report_finding
```
- 报告结论优化
```
review_code
```
- 代码评审
```
review_design
```
- 设计评审
```
refine_design_document
```
- 设计文档优化
```
humanize
```
- AI文本人性化处理
```
enrich_blog_post
```
- 博客内容增强
```
clean_text
```
- 文本清理

Rating/Judgment (8 patterns)

评分/评判（8个模式）

```
rate_ai_response
```
- Rate AI outputs
```
rate_ai_result
```
- Rate AI results
```
rate_content
```
- Rate content quality
```
rate_value
```
- Rate value proposition
```
judge_output
```
- General judgment
```
label_and_rate
```
- Label and rate
```
check_agreement
```
- Agreement checking
```
arbiter-evaluate-quality
```
- Quality evaluation

```
rate_ai_response
```
- AI输出评分
```
rate_ai_result
```
- AI结果评分
```
rate_content
```
- 内容质量评分
```
rate_value
```
- 价值主张评估
```
judge_output
```
- 综合评判
```
label_and_rate
```
- 标注与评分
```
check_agreement
```
- 一致性检查
```
arbiter-evaluate-quality
```
- 质量评估

🔄 Updating Patterns

🔄 更新模式

The Fabric repository is included in this skill at

${PAI_DIR}/skills/fabric/fabric-repo/

To update patterns:

bash

cd ${PAI_DIR}/skills/fabric/fabric-repo
git pull origin main

To see all available patterns:

bash

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/

Fabric仓库已集成在此Skill中，路径为

${PAI_DIR}/skills/fabric/fabric-repo/

。

更新模式方法：

bash

cd ${PAI_DIR}/skills/fabric/fabric-repo
git pull origin main

查看所有可用模式：

bash

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/

OR from your local Fabric install:

或从本地Fabric安装目录查看：

ls ~/.config/fabric/patterns/

undefined

ls ~/.config/fabric/patterns/

undefined

💡 Usage Examples

💡 使用示例

Threat Modeling:

bash

undefined

威胁建模：

bash

undefined

User: "Create a threat model for our new API"

fabric "API that handles user authentication and payment processing" -p create_threat_model


**Summarization:**
```bash

fabric "API that handles user authentication and payment processing" -p create_threat_model


**摘要生成：**
```bash

User: "Summarize this blog post"

fabric -u "https://example.com/blog-post" -p summarize

User: "Give me a 5-sentence summary"

fabric -u "https://example.com/article" -p create_5_sentence_summary


**Wisdom Extraction:**
```bash

fabric -u "https://example.com/article" -p create_5_sentence_summary


**观点提取：**
```bash

User: "Extract wisdom from this video"

fabric -y "https://youtube.com/watch?v=..." -p extract_wisdom

User: "What are the main ideas?"

fabric -u "URL" -p extract_main_idea


**Analysis:**
```bash

fabric -u "URL" -p extract_main_idea


**分析类：**
```bash

User: "Analyze this code for issues"

fabric "$(cat code.py)" -p analyze_code

User: "Analyze these security claims"

fabric "security claims text" -p analyze_claims

undefined

fabric "security claims text" -p analyze_claims

undefined

🎯 Pattern Selection Decision Matrix

🎯 模式选择决策矩阵

User Request Contains	Likely Intent	Recommended Patterns
"threat model"	Security modeling	`create_threat_model` , `create_stride_threat_model`
"summarize", "summary"	Summarization	`summarize` , `create_5_sentence_summary`
"extract wisdom", "insights"	Wisdom extraction	`extract_wisdom` , `extract_insights`
"analyze [X]"	Analysis	`analyze_[X]` (match X to pattern)
"improve", "enhance"	Improvement	`improve_writing` , `improve_prompt`
"create [visualization]"	Visualization	`create_mermaid_visualization` , `create_markmap_visualization`
"rate", "judge", "evaluate"	Rating	`rate_content` , `judge_output`
"main idea", "core message"	Core extraction	`extract_main_idea` , `extract_core_message`

用户请求包含关键词	可能的意图	推荐模式
"威胁模型"	安全建模	`create_threat_model` , `create_stride_threat_model`
"总结", "摘要"	摘要生成	`summarize` , `create_5_sentence_summary`
"提取观点", "洞察"	观点提取	`extract_wisdom` , `extract_insights`
"分析[X]"	分析类	`analyze_[X]` （匹配X对应的模式）
"优化", "增强"	优化改进	`improve_writing` , `improve_prompt`
"创建[可视化图表]"	可视化创作	`create_mermaid_visualization` , `create_markmap_visualization`
"评分", "评判", "评估"	质量评估	`rate_content` , `judge_output`
"核心思想", "核心信息"	核心内容提取	`extract_main_idea` , `extract_core_message`

🚀 Advanced Usage

🚀 高级用法

Pipe content through Fabric:

bash

cat article.txt | fabric -p extract_wisdom
pbpaste | fabric -p summarize
curl -s "https://..." | fabric -p analyze_claims

Process YouTube videos:

bash

undefined

通过管道传递内容给Fabric：

bash

cat article.txt | fabric -p extract_wisdom
pbpaste | fabric -p summarize
curl -s "https://..." | fabric -p analyze_claims

处理YouTube视频：

bash

undefined

Fabric handles download + transcription + processing

Fabric会自动处理下载+转录+分析

fabric -y "https://youtube.com/watch?v=..." -p youtube_summary


**Chain patterns (manual):**
```bash

fabric -y "https://youtube.com/watch?v=..." -p youtube_summary


**手动链式调用模式：**
```bash

Extract then summarize

先提取观点再生成摘要

fabric -u "URL" -p extract_wisdom > wisdom.txt cat wisdom.txt | fabric -p create_5_sentence_summary

undefined

fabric -u "URL" -p extract_wisdom > wisdom.txt cat wisdom.txt | fabric -p create_5_sentence_summary

undefined

📖 Supplementary Resources

📖 补充资源

Full Pattern List:

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/

Fabric Repo:

${PAI_DIR}/skills/fabric/fabric-repo/

Fabric Documentation: https://github.com/danielmiessler/fabric Pattern Templates: See

${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/official_pattern_template/

完整模式列表：

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/

Fabric仓库路径：

${PAI_DIR}/skills/fabric/fabric-repo/

Fabric官方文档： https://github.com/danielmiessler/fabric 模式模板： 查看

${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/official_pattern_template/

🔑 Key Insight

🔑 核心要点

The skill's value is in selecting the RIGHT pattern for the task.

When user says "Create a threat model using Fabric", your job is to:

Recognize "threat model" intent

Know available options:

create_threat_model

create_stride_threat_model

create_threat_scenarios

Select the best match (usually
```
create_threat_model
```
unless STRIDE specified)

Execute:

fabric "[content]" -p create_threat_model

Not: "Here are the patterns, pick one" Instead: "I'll use

create_threat_model

for this" → execute immediately

此Skill的价值在于为任务选择最合适的模式。

当用户说“使用Fabric创建一个威胁模型”时，你的工作流程是：

识别“威胁模型”的意图

了解可用选项：

create_threat_model

create_stride_threat_model

create_threat_scenarios

选择最佳匹配项（通常是
```
create_threat_model
```
，除非指定了STRIDE方法）

执行命令：

fabric "[内容]" -p create_threat_model

错误做法： “这里有几个模式，你选一个” 正确做法： “我将使用

create_threat_model

来完成此任务” → 立即执行