Agent skill
prompt-authoring
Guidance for creating effective prompts, chains, and gates using CAGEERF methodology
Install this agent skill to your Project
npx add-skill https://github.com/majiayu000/claude-skill-registry/tree/main/skills/design/prompt-authoring-minipuft-claude-prompts-mcp
SKILL.md
Prompt Authoring Guide
This skill provides patterns for creating prompts in the claude-prompts-mcp system.
CAGEERF Methodology
Prompts follow the C.A.G.E.E.R.F framework:
| Phase | Purpose | Output |
|---|---|---|
| Context | Gather domain knowledge | Situational understanding |
| Analysis | Break down the problem | Structured insights |
| Goals | Define success criteria | Measurable objectives |
| Execution | Implement the solution | Concrete deliverables |
| Evaluation | Validate against goals | Quality assessment |
| Refinement | Iterate based on feedback | Improved output |
| Finalization | Complete and document | Final deliverable |
Prompt Structure
---
id: my-prompt
name: My Prompt
description: What this prompt accomplishes
category: development
execution_hint: single # or 'chain'
arguments:
- name: input
type: string
description: Primary input
---
system_message: |
You are an expert at [domain].
user_message_template: |
Task: {input}
Requirements:
- Requirement 1
- Requirement 2
Chain Definition
Chains connect prompts with -->:
>>analyze --> >>design --> >>implement --> >>test
Chain features:
- Sequential execution with context passing
- Gate validation between steps
- Resume capability with
chain_id
Quality Gates
Gates validate output quality:
id: code-quality
name: Code Quality Gate
severity: high
criteria:
- "Code follows established patterns"
- "Error handling is comprehensive"
pass_criteria:
- "All criteria met with evidence"
Severity levels: critical | high | medium | low
Creating New Prompts
Use the resource_manager tool:
resource_manager({
resource_type: "prompt",
action: "create",
id: "new-prompt",
name: "New Prompt",
description: "Purpose",
category: "development",
system_message: "...",
user_message_template: "..."
})
Best Practices
- Clear objectives: Define what success looks like
- Structured output: Specify expected format
- Validation criteria: Include checkable requirements
- Composability: Design prompts that chain well
- Gate integration: Add quality checks for critical outputs
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