Installs: 0
Used in: 1 repos
Updated: 2d ago
$
npx ai-builder add skill seanchatmangpt/meta-prompt-frameworkInstalls to .claude/skills/meta-prompt-framework/
# Meta-Prompt Framework Skill
This skill implements a systematic approach to prompt engineering and task execution optimization.
## When This Skill Activates
- Designing prompts for complex tasks
- Implementing multi-phase workflows
- Optimizing LLM task execution
- Creating role-specific instructions
- Building iterative refinement loops
## Three-Phase Task Flow
### Phase 1: Initialization
```yaml
objectives:
- Analyze task context
- Clarify overall goal
- Generate initial outline
- Prepare inputs for processing
deliverables:
- Task interpretation
- Requirements list
- Preliminary approach
instruction: |
Prepare inputs for deeper processing and draft
an initial outline of the solution structure.
```
### Phase 2: Refinement
```yaml
objectives:
- Refine initial outputs
- Identify inconsistencies
- Explore alternatives
- Ensure modularity
deliverables:
- Quality-reviewed output
- Alternative approaches
- Edge cases identified
instruction: |
Refine the output to meet quality standards,
considering modularity and adaptability.
```
### Phase 3: Completion
```yaml
objectives:
- Finalize against criteria
- Review constraints
- Verify structure
- Generate final output
deliverables:
- Complete output
- Compliance check
- Quality metrics
instruction: |
Generate the final output, ensuring clarity,
accuracy, and adherence to the task flow.
```
## Success Criteria
| Criterion | Check |
|-----------|-------|
| Accuracy | Factual correctness verified |
| Consistency | Replicable across executions |
| Clarity | Simple and understandable |
| Efficiency | Completed in reasonable time |
## Refinement Strategies
### Evaluate-Apply-Feedback Loop
1. Evaluate outputs for accuracy/consistency
2. Apply corrections and improvements
3. Generate feedback for context update
4. Iterate until criteria met
### Context Evolution
- Update context files with new insights
- Document improvements for future reference
- Feed learnings back into prompts
## Role Separation
### Task Executor
- Generates outputs following task flow
- Implements three-phase model
- Focuses on deliverable creation
### Task Reviewer
- Reviews for clarity and accuracy
- Checks meta-directive adherence
- Provides improvement suggestions
## Templates
### Phase Template
```markdown
## Phase [N]: [Name]
**Objective:** [What to accomplish]
**Inputs:**
- [Input 1]
- [Input 2]
**Process:**
1. [Step 1]
2. [Step 2]
**Outputs:**
- [Deliverable 1]
- [Deliverable 2]
**Success Criteria:**
- [ ] [Criterion 1]
- [ ] [Criterion 2]
```
### Meta-Directive Template
```yaml
meta_directives:
[directive_name]:
priority: [high|medium|low|critical]
action: "[specific action to take]"
constraint: "[limitation to observe]"
```
## Best Practices
1. **Phase Gates**: Complete each phase before proceeding
2. **Explicit Criteria**: Define success metrics upfront
3. **Role Clarity**: Separate execution from review
4. **Iteration Limits**: Set maximum refinement cycles
5. **Context Preservation**: Maintain state across phasesQuick Install
$
npx ai-builder add skill seanchatmangpt/meta-prompt-frameworkDetails
- Type
- skill
- Author
- seanchatmangpt
- Slug
- seanchatmangpt/meta-prompt-framework
- Created
- 6d ago