Fabric Patterns
by AutoBridgeSystems
Applies Fabric AI prompt patterns for summarization, analysis, extraction, code review, and content creation. Use when asked to summarize content, analyze documents, extract insights, review code, create documentation, or transform text. Patterns are in data/patterns/.
Skill Details
Repository Files
2 files in this skill directory
name: fabric-patterns description: Applies Fabric AI prompt patterns for summarization, analysis, extraction, code review, and content creation. Use when asked to summarize content, analyze documents, extract insights, review code, create documentation, or transform text. Patterns are in data/patterns/.
Fabric Patterns
Apply specialized prompt patterns from the Fabric framework for consistent, high-quality AI outputs.
When This Skill Activates
- Summarizing documents, videos, meetings, papers, git diffs
- Analyzing code, threats, claims, logs, prose
- Extracting insights, ideas, entities, wisdom
- Creating PRDs, user stories, commit messages, documentation
- Improving writing, code, or prompts
How to Use Patterns
- Identify the relevant pattern from categories below
- Read the pattern:
data/patterns/{pattern_name}/system.md - Follow its IDENTITY, STEPS, and OUTPUT INSTRUCTIONS sections
Pattern Categories
Summarize
| Pattern | Use |
|---|---|
summarize |
General summary with key points |
summarize_paper |
Academic papers |
summarize_meeting |
Meeting notes → action items |
summarize_git_diff |
Code changes |
create_micro_summary |
Ultra-concise |
Analyze
| Pattern | Use |
|---|---|
analyze_claims |
Truth-rate claims with evidence |
analyze_prose |
Writing quality evaluation |
analyze_logs |
Server log analysis |
analyze_threat_report |
Security threats |
review_code |
Code review feedback |
Extract
| Pattern | Use |
|---|---|
extract_wisdom |
Key insights from content |
extract_ideas |
Main ideas as bullets |
extract_recommendations |
Actionable recommendations |
extract_references |
Citations and sources |
Create
| Pattern | Use |
|---|---|
create_prd |
Product Requirements Document |
create_user_story |
Technical user stories |
write_pull-request |
PR descriptions |
create_git_diff_commit |
Commit messages |
create_design_document |
System design docs |
Improve
| Pattern | Use |
|---|---|
improve_writing |
Grammar and clarity |
improve_prompt |
Enhance AI prompts |
improve_academic_writing |
Academic tone |
Full Pattern List
See all 232 patterns: ls data/patterns/
Read pattern details: cat data/patterns/{name}/system.md
Example
User: "Summarize this research paper"
- Read
data/patterns/summarize_paper/system.md - Apply its methodology to the paper
- Output per the pattern's format instructions
Related Skills
Xlsx
Comprehensive spreadsheet creation, editing, and analysis with support for formulas, formatting, data analysis, and visualization. When Claude needs to work with spreadsheets (.xlsx, .xlsm, .csv, .tsv, etc) for: (1) Creating new spreadsheets with formulas and formatting, (2) Reading or analyzing data, (3) Modify existing spreadsheets while preserving formulas, (4) Data analysis and visualization in spreadsheets, or (5) Recalculating formulas
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Clickhouse Io
ClickHouse database patterns, query optimization, analytics, and data engineering best practices for high-performance analytical workloads.
Analyzing Financial Statements
This skill calculates key financial ratios and metrics from financial statement data for investment analysis
Data Storytelling
Transform data into compelling narratives using visualization, context, and persuasive structure. Use when presenting analytics to stakeholders, creating data reports, or building executive presentations.
Kpi Dashboard Design
Design effective KPI dashboards with metrics selection, visualization best practices, and real-time monitoring patterns. Use when building business dashboards, selecting metrics, or designing data visualization layouts.
Dbt Transformation Patterns
Master dbt (data build tool) for analytics engineering with model organization, testing, documentation, and incremental strategies. Use when building data transformations, creating data models, or implementing analytics engineering best practices.
Sql Optimization Patterns
Master SQL query optimization, indexing strategies, and EXPLAIN analysis to dramatically improve database performance and eliminate slow queries. Use when debugging slow queries, designing database schemas, or optimizing application performance.
Clinical Decision Support
Generate professional clinical decision support (CDS) documents for pharmaceutical and clinical research settings, including patient cohort analyses (biomarker-stratified with outcomes) and treatment recommendation reports (evidence-based guidelines with decision algorithms). Supports GRADE evidence grading, statistical analysis (hazard ratios, survival curves, waterfall plots), biomarker integration, and regulatory compliance. Outputs publication-ready LaTeX/PDF format optimized for drug develo
Anndata
This skill should be used when working with annotated data matrices in Python, particularly for single-cell genomics analysis, managing experimental measurements with metadata, or handling large-scale biological datasets. Use when tasks involve AnnData objects, h5ad files, single-cell RNA-seq data, or integration with scanpy/scverse tools.