#preset-guidelines.md
Version: 1.0.0
Target Models
- DeepSeek V4
- DeepSeek V3.2
- DeepSeek R1
- DeepSeek V3 Family
- Future DeepSeek Models
#Purpose
This document defines how reusable instruction presets should be designed, evaluated, maintained, and continuously improved for AI-assisted engineering, product development, technical writing, business strategy, documentation, reviews, and operational workflows.
A preset is not a prompt.
A preset is a standardized operating guideline that establishes consistent objectives, decision-making principles, quality expectations, constraints, and execution behavior across multiple tasks.
The objective is to create reusable instruction systems that produce predictable, reliable, maintainable, and high-quality outcomes regardless of task complexity.
Good presets improve consistency.
Not creativity at the expense of quality.
#Core Philosophy
Define Objectives
↓
Define Constraints
↓
Define Standards
↓
Define Workflow
↓
Produce Consistent Results
↓
Review
↓
Improve
↓
Approve
Presets should reduce ambiguity.
Not flexibility.
#Primary Objective
Every preset should answer one question.
"Can different users execute different tasks while consistently producing high-quality outcomes using this preset?"
If the answer is uncertain,
the preset requires improvement.
#Preset Principles
Every preset should maximize
Consistency
↓
Clarity
↓
Reusability
↓
Maintainability
↓
Reliability
↓
Scalability
↓
Quality
↓
Decision Support
A preset should guide execution.
Not replace reasoning.
#Preset Workflow
Define Purpose
↓
Identify Users
↓
Define Rules
↓
Define Workflow
↓
Validate
↓
Document
↓
Review
↓
Improve
#Stage 1 — Purpose
Clearly define
Problem
↓
Scope
↓
Expected Output
↓
Target Audience
↓
Success Criteria
↓
Limitations
Every preset should solve one primary problem.
#Stage 2 — Target Users
Identify
Beginners
↓
Developers
↓
Designers
↓
Product Teams
↓
Engineering Teams
↓
Business Teams
↓
Operations
Different users require different guidance.
#Stage 3 — Objectives
Define
Primary Goal
↓
Secondary Goals
↓
Quality Expectations
↓
Business Outcomes
↓
Engineering Standards
↓
Success Metrics
Objectives should never conflict.
#Stage 4 — Constraints
Specify
Allowed Actions
↓
Restricted Actions
↓
Required Standards
↓
Security Requirements
↓
Performance Expectations
↓
Business Constraints
Constraints improve consistency.
#Stage 5 — Decision Rules
Establish
Priority Order
↓
Trade-off Principles
↓
Risk Evaluation
↓
Failure Handling
↓
Escalation Conditions
↓
Approval Criteria
Good presets reduce subjective decisions.
#Stage 6 — Workflow
Define
Planning
↓
Execution
↓
Verification
↓
Review
↓
Optimization
↓
Completion
Workflows improve repeatability.
#Stage 7 — Quality Standards
Require
Accuracy
↓
Completeness
↓
Consistency
↓
Maintainability
↓
Security
↓
Performance
↓
Documentation
Quality should be measurable.
#Stage 8 — Communication Standards
Ensure
Clear Language
↓
Logical Structure
↓
Consistent Terminology
↓
Professional Tone
↓
Minimal Ambiguity
↓
Actionable Guidance
Communication determines usability.
#Stage 9 — Reusability
Design presets to
Avoid Project-Specific Rules
↓
Avoid Temporary Context
↓
Support Multiple Domains
↓
Encourage Modularity
↓
Promote Long-Term Use
Reusable presets provide greater value.
#Stage 10 — Scalability
Support
Small Tasks
↓
Large Projects
↓
Single Contributors
↓
Teams
↓
Automation
↓
Future Expansion
Scalable presets remain useful as complexity grows.
#Stage 11 — Error Prevention
Prevent
Ambiguous Instructions
↓
Contradictory Rules
↓
Missing Context
↓
Undefined Objectives
↓
Unclear Priorities
↓
Inconsistent Terminology
Good presets reduce mistakes before execution begins.
#Stage 12 — Validation
Verify
Instructions
↓
Decision Rules
↓
Outputs
↓
Consistency
↓
Edge Cases
↓
Failure Scenarios
Validation builds confidence.
#Stage 13 — Documentation
Document
Purpose
↓
Scope
↓
Workflow
↓
Standards
↓
Constraints
↓
Examples
↓
Revision History
Documentation enables maintainability.
#Stage 14 — Versioning
Maintain
Version Numbers
↓
Change History
↓
Deprecated Rules
↓
Migration Guidance
↓
Compatibility Notes
↓
Review Dates
Presets should evolve predictably.
#Stage 15 — Collaboration
Define
Ownership
↓
Review Process
↓
Contribution Rules
↓
Approval Process
↓
Feedback Collection
↓
Continuous Updates
Collaboration improves quality.
#Stage 16 — Review
Review
Consistency
↓
Usability
↓
Accuracy
↓
Performance
↓
Maintainability
↓
Business Alignment
Regular reviews prevent quality degradation.
#Stage 17 — Optimization
Improve
Structure
↓
Clarity
↓
Decision Logic
↓
Workflow
↓
Coverage
↓
Efficiency
Optimization should simplify usage.
#Stage 18 — Compatibility
Ensure compatibility across
Projects
↓
Products
↓
Teams
↓
Documentation
↓
Engineering Standards
↓
Business Workflows
Compatibility increases adoption.
#Stage 19 — Governance
Define
Ownership
↓
Approval Authority
↓
Review Schedule
↓
Deprecation Process
↓
Quality Standards
↓
Compliance
Governance protects long-term quality.
#Stage 20 — Continuous Improvement
Continuously improve
Clarity
↓
Consistency
↓
Coverage
↓
Reusability
↓
Quality
↓
Maintainability
↓
Business Value
Exceptional presets evolve continuously.
#Preset Quality Attributes
Evaluate
Clarity
Consistency
Reusability
Scalability
Maintainability
Reliability
Flexibility
Business Value
#Preset Questions
Before approval ask
Does this preset solve one clearly defined problem?
↓
Can new contributors understand it quickly?
↓
Are all important decisions guided?
↓
Can it be reused across multiple projects?
↓
Does it reduce ambiguity?
↓
Can it evolve without breaking compatibility?
↓
Would experienced engineering leaders confidently adopt this preset across their organization?
#Severity Levels
Critical
Conflicting instructions
Undefined objectives
Unsafe guidance
Major
Ambiguous rules
Missing workflows
Poor structure
Medium
Documentation improvements
Additional examples
Workflow refinement
Minor
Formatting
Terminology consistency
Editorial improvements
#Preset Checklist
✓ Purpose defined
✓ Target users identified
✓ Objectives documented
✓ Constraints established
✓ Decision rules created
✓ Workflow documented
✓ Quality standards defined
✓ Communication standardized
✓ Reusability verified
✓ Scalability reviewed
✓ Error prevention included
✓ Validation completed
✓ Documentation complete
✓ Versioning established
✓ Collaboration process defined
✓ Review completed
✓ Optimization performed
✓ Compatibility verified
✓ Governance documented
✓ Continuous improvement established
#Anti-Patterns
Avoid
Overly specific instructions
Conflicting guidance
Undefined priorities
Temporary project assumptions
Copying prompts without structure
Missing quality standards
No ownership
No versioning
No review process
Overly rigid rules
Excessive complexity
Treating presets as static documents
#Definition of Done
Preset review is complete when
- The purpose, scope, objectives, constraints, and intended audience are clearly defined.
- Decision-making rules consistently guide execution while allowing appropriate professional judgment.
- Quality standards, workflows, governance, and documentation provide predictable and repeatable outcomes.
- The preset can be reused across multiple projects, teams, and future revisions without significant modification.
- Versioning, ownership, review processes, and continuous improvement ensure long-term maintainability.
- The preset reduces ambiguity, improves collaboration, and strengthens consistency across engineering, product, business, and operational activities.
- Contributors can understand, apply, and extend the preset without requiring additional explanation.
- Validation confirms that the preset consistently produces reliable, high-quality outcomes across representative scenarios.
- Organizational standards, business objectives, and engineering best practices remain aligned throughout the preset lifecycle.
- The preset functions as a reusable operational standard that continuously improves execution quality, organizational consistency, and long-term knowledge sharing.
Exceptional presets become organizational standards.
They reduce uncertainty, improve decision quality, accelerate execution, preserve institutional knowledge, and enable teams to consistently deliver high-quality work regardless of project complexity or contributor experience.