Library · Reference templates · 7.10
F68 TEMPLATE LIBRARY
1 min read
F68 Library can be organized around two main entry points.
SYSTEM PROMPT
- Research
- Coding
- Document Analysis
- Data Analysis
- Critique
- Planning
- Content
- Automation
KNOWLEDGE BASE
- Research Methodology
- Source Verification
- Coding Principles
- Data Analysis Method
- Document Analysis
- Evaluation
- Workflow Examples
- Failure Cases
Users search by Agent component, without having to learn a new set of terminology.
SUMMARY
GitHub is a source for finding ways of building Agents that have been put into practice.
F68 Library does not need to bring those systems over wholesale.
It only needs to pick the valuable parts and place them back into the right structure:
**System Prompt
- Knowledge Base
- Workflow**
so that users understand right away:
Where does this document go in my Agent?
NEXT STEP
F68 will select quality AI repositories and take the Instruction / Knowledge files worth referencing.
Each file is then classified as:
System Prompt Template
or:
Knowledge Base Template
and comes with a short explanation of:
what it is used for → what you can learn → which parts to adjust.
No new concept is created.
Everything serves the same goal:
Helping users build better Agents.