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 or 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