claude-flow-novice
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Claude Flow Novice - Advanced orchestration platform for multi-agent AI workflows with CFN Loop architecture Includes Local RuVector Accelerator and all CFN skills for complete functionality.
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# Dependency Extractor Skill
## Purpose
Analyze acceptance criteria to identify and map task dependencies, enabling intelligent sprint sequencing.
## Key Functions
- Parse detailed acceptance criteria
- Identify explicit and implicit dependencies
- Generate dependency graph
- Compute topological execution order
## Input Requirements
- Detailed acceptance criteria
- Optional: Technology stack context
- Optional: Domain-specific constraints
## Output Specification
Produces JSON with:
- Direct dependencies
- Indirect dependencies
- Execution order
- Parallel opportunities
- Critical path
## Usage
```bash
extract-dependencies.sh \
--criteria "OAuth2 login working,Session tokens expire,2FA enrollment"
```
## Dependency Analysis Principles
- Explicit dependency extraction
- Implicit relationship detection
- Layered dependency resolution
- Parallel execution optimization