AgentSkillOS fabric

Intelligent pattern selection for Fabric CLI. Automatically selects the right pattern from 242+ specialized prompts based on your intent - threat modeling, analysis, summarization, content creation, extraction, and more. USE WHEN processing content, analyzing data, creating summaries, threat modeling, or transforming text.

install

source · Clone the upstream repo

git clone https://github.com/ynulihao/AgentSkillOS

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/ynulihao/AgentSkillOS "$T" && mkdir -p ~/.claude/skills && cp -r "$T/data/skill_seeds/fabric" ~/.claude/skills/ynulihao-agentskillos-fabric && rm -rf "$T"

manifest: data/skill_seeds/fabric/SKILL.md

source content

Fabric Skill

Setup Check - Fabric Repository

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

# 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.

When to Activate This 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.

🎯 Pattern Selection Strategy

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

1. Identify Intent Category

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
```

2. Execute Pattern

# 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]

📚 Pattern Categories (242 Total)

Threat Modeling & Security (15 patterns)

```
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

Summarization (20 patterns)

```
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

Extraction (30+ patterns)

```
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

Analysis (35+ patterns)

```
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

Creation (50+ patterns)

```
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

Improvement (10 patterns)

```
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

Rating/Judgment (8 patterns)

```
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

🔄 Updating Patterns

The Fabric repository is included in this skill at

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

To update patterns:

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

To see all available patterns:

ls ${PAI_DIR}/skills/fabric/fabric-repo/data/patterns/
# OR from your local Fabric install:
ls ~/.config/fabric/patterns/

💡 Usage Examples

Threat Modeling:

# User: "Create a threat model for our new API"
fabric "API that handles user authentication and payment processing" -p create_threat_model

Summarization:

# 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:

# 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:

# 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

🎯 Pattern Selection Decision Matrix

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`

🚀 Advanced Usage

Pipe content through Fabric:

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

Process YouTube videos:

# Fabric handles download + transcription + processing
fabric -y "https://youtube.com/watch?v=..." -p youtube_summary

Chain patterns (manual):

# Extract then summarize
fabric -u "URL" -p extract_wisdom > wisdom.txt
cat wisdom.txt | fabric -p create_5_sentence_summary

📖 Supplementary Resources

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/

🔑 Key Insight

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