This directory contains prompt chains - sequences of prompts designed to work together to accomplish complex tasks. Each chain connects multiple specialized prompts where the output of one becomes the input for the next.
| Chain Name | Stages | Domain | Description |
|---|---|---|---|
| Content Development Chain | 5 | Content Creation | End-to-end workflow from ideation to publication |
| Visual Content Chain | 4 | Visual Design | Social media visual content from concept to post |
Total: 2 Multi-Stage Chains
A prompt chain is a workflow that breaks down a complex task into discrete steps, each handled by a specialized prompt. By chaining prompts together, you can:
- Create more complex and sophisticated outputs
- Maintain quality control at each stage
- Allow for human review/intervention between stages
- Leverage specialized expertise for different aspects of a task
- Build modular, reusable prompt components
Each prompt chain in this directory includes:
- Chain Overview: Visual representation of the workflow
- Stage Descriptions: Detailed information about each prompt in the chain
- Parameters: Required inputs for each stage
- Expected Outputs: What each stage produces
- Chain Usage Instructions: How to implement the entire workflow
- Example Workflow: A concrete example of the chain in action
- Variations: Suggested modifications for different use cases
# Search for available chains
./search -c "chains"
# Find chains by domain
./search -t "content creation" "workflow"
# Get chain recommendations
./search -r "I need a multi-step content workflow"- Understand the Workflow: Review the entire chain to understand how the stages connect
- Prepare Your Inputs: Gather all the initial parameters needed for the first stage
- Execute Sequentially: Run each prompt in order, using outputs as inputs for the next stage
- Review Between Stages: Check outputs at each stage before proceeding
- Iterate as Needed: You can rerun any stage with adjustments if the output isn't satisfactory
When creating new prompt chains, consider:
- Breaking complex tasks into logical, discrete steps
- Ensuring clear input/output relationships between stages
- Providing comprehensive documentation for each stage
- Including examples of how the chain works end-to-end
- Considering where human review or input might be valuable
- Save outputs from each stage for reference and iteration
- Consider creating variations of chains for different use cases
- Document successful chains and their results
- Refine prompts based on actual usage results
- Consider adding custom stages to address specific needs