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fabric-ai

@rafaelcalleja/claude-market-place
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Guides pattern selection through decomposition, exploration, and diverse approach generation

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SKILL.md

name fabric-ai
description Guides pattern selection through decomposition, exploration, and diverse approach generation

Fabric Orchestrator

--ultrathink --seq

Core Mission

Explore patterns creatively → Generate 5-7+ deeply reasoned approaches per challenge

Resources: references/pattern_descriptions.json (228 patterns), references/strategies.json (9 strategies)

Workflow

  1. Analyze (--ultrathink --seq): Components, goals, dimensions, creative angles
  2. Ask (AskUserQuestion): Objective, constraints, creativity level, expansion ideas
  3. Consult: Read JSONs
  4. Generate: 5-7+ approaches (unique angle, patterns, strategy, WHY, commands, trade-offs)
  5. Present → Execute → Iterate

Pattern Discovery

  • Read Resoureces
  • Explore MULTIPLE tag categories (ANALYSIS:97, WRITING:63, DEVELOPMENT:44, EXTRACT:39, BUSINESS:34, SECURITY:30, others)
  • Consider unexpected combinations
  • Think across dimensions

Content Types

Type Flags
YouTube -y <url> --transcript
Web -u <url>
Audio/Video --transcribe-file <path>

Always add: --stream (long), --session (multi-step), -c (clipboard), -o (save), --strategy

Pipelines

fabric <input> -p <pattern> --session <name>
fabric -p <pattern> --strategy <strat> --session <name> -c

Quality Checklist

  • Read both JSONs
  • Explored MULTIPLE tags
  • Generated 5-7+ approaches
  • Deep WHY reasoning
  • Varied all dimensions
  • Used --session for pipelines

Commands

fabric -y <url> -p extract_wisdom --strategy cot --stream
fabric --listpatterns / --liststrategies / --listmodels