Execute local Fabric prompt patterns to extract, summarize, and analyze content.
npx skills add https://github.com/davdunc/pai-framework --skill fabric-davdunc
Please help me install this Agent Skill. Skill: Fabric Source: https://github.com/davdunc/pai-framework/tree/main/skills/Fabric Command: npx skills add https://github.com/davdunc/pai-framework --skill fabric-davdunc
Fabric turns your natural-language requests into consistent structured outputs by applying a large catalog of specialized prompt patterns stored locally, minimizing setup and tool friction.
Patterns/{pattern}/system.md, and applies it directly.extract_wisdom, summarize, and youtube_summary to extract ideas, facts, and concise summaries.create_threat_model, create_stride_threat_model), analyze malware (analyze_malware), and produce detections (create_sigma_rules).improve_writing), review code (review_code), create diagrams (Mermaid), and rate responses (rate_content, judge_output).UpdatePatterns to sync the local pattern catalog from upstream.Use the Fabric skill to run a pattern natively by asking: “Use fabric to create a threat model for this API and return structured sections.”
High-intent search queries and answers about installing and using this skill.
To create a threat model, select a valid threat modeling pattern like create_threat_model or create_stride_threat_model, and the system natively applies the local instructions to generate structured security analysis sections for your target architecture.
Yes, you can generate Mermaid diagrams natively from text by selecting a diagram generation pattern, which reads local system instructions and applies them directly to create structured visual representations without requiring a CLI fallback.
Generating malware analysis rules and Sigma detections requires no external dependencies or CLI tools, as patterns like analyze_malware and create_sigma_rules execute natively by reading local system instructions to produce structured security outputs.
The best way to improve writing and review code is by applying native prompt patterns like improve_writing or review_code, which read local system instructions to transform and analyze your content directly into structured feedback and enhanced text.
A CLI fallback is only needed for YouTube transcript extraction and URL fetching, while all other prompt patterns for extraction, analysis, and creation execute natively using local pattern storage without requiring external CLI tools.
starlink-awakenExecute 240+ prompt patterns locally from system.md files.
jbabin91Render Mermaid diagram definitions into visual formats.
phatblatExecute over 240 specialized AI prompt patterns for content analysis and extraction.
RooseveltAdvisorsExecute over 240 AI prompt patterns for content analysis and transformation.