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- The Comprehensive Claude Skill Creation Prompt
- Goal: Analyze the attached full conversation log (SKILL.md) to extract the essential knowledge, project goals, and constraints, and then synthesize this information into a structured, high-quality Claude Skill file.
- Step 1: Core Knowledge Extraction and Synthesis
- Action: Read the entire attached file. Do not summarize the conversation; instead, extract and synthesize the following structured data points:
- Project Name: What is the primary, overarching project or topic of the conversation? (e.g., "DUI SEO Keyword Research Guide").
- Skill Purpose: What is the specific, reusable function of this knowledge? (e.g., "Act as a strategic consultant for the DUI SEO project").
- Key Deliverables/Outputs: List the concrete, final products that resulted from the conversation (e.g., "42 City Page Templates," "Pillar-Silo Architecture").
- Constraints/Assumptions: Identify any specific tools, platforms, or limitations mentioned (e.g., "Implementation on Zizta.com," "Use of InfraNodus MCP").
- Target User: Who is the assumed user of this Skill? (e.g., "SEO Manager," "Content Strategist").
- Step 2: Skill Metadata Generation
- Action: Based on the synthesis from Step 1, generate the required YAML front matter for the Skill file.
- name: Use a concise, hyphenated name based on the Skill Purpose (e.g., dui-seo-strategy-consultant).
- description: Write a single, clear sentence summarizing the Skill's knowledge and purpose.
- license: Set to MIT (or another appropriate license if discussed in the chat).
- allowed-tools: Set to [] unless the chat explicitly details a specific tool to be used.
- metadata: Set to {}.
- Step 3: Skill Instruction Set Development
- Action: Create a detailed Instructions section for the Skill. This is the most critical part, as it tells Claude how to use the knowledge, not just what the knowledge is.
- Role Definition: Start with a sentence defining the persona Claude should adopt when using this Skill (e.g., "You are now the DUI SEO Strategy Consultant.").
- Knowledge Application: Describe the three primary ways Claude should apply the knowledge:
- Strategic Alignment: Always cross-reference new requests with the original Project Goals and Constraints.
- Detail Recall: When asked for specific items (e.g., "list of cities," "service names"), retrieve the exact content from the original conversation.
- Future Planning: Use the Key Deliverables/Outputs as a checklist for future tasks and next steps.
- Example Scenario: Provide one clear example of a user query and the expected, structured response from Claude using the Skill's knowledge.
- Step 4: Final Output Generation
- Action: Combine the generated metadata and the instruction set into a single, complete Markdown file.
- Output Format:
- Markdown
- ---
- name: [Generated Skill Name]
- description: [Generated Skill Description]
- license: MIT
- allowed-tools: []
- metadata: {}
- ---
- # Instructions for the [Generated Skill Name] Skill
- ## Role Definition
- [Generated Role Definition]
- ## Knowledge Application Directives
- 1. **Strategic Alignment:** [Directive 1]
- 2. **Detail Recall:** [Directive 2]
- 3. **Future Planning:** [Directive 3]
- ## Example Scenario
- **User Query:** [Example Query]
- **Expected Skill Response:** [Expected Response]
- ## Extracted Core Knowledge (For Reference)
- | Field | Extracted Value |
- | :--- | :--- |
- | Project Name | [Value] |
- | Key Deliverables | [Value] |
- | Constraints/Platforms | [Value] |
- | Target User | [Value] |
- By following this four-step process, you are prompting Claude to perform the necessary analysis and structuring required to create a formal, reusable Skill, rather than just a memory summary. This ensures the output is a well-defined asset you can use for the Skill feature in Claude Desktop.
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