aiforge: Skill for Gemini CLI

Advanced Elicitation

Goal: Push the LLM to reconsider, refine, and improve its recent output.

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CRITICAL LLM INSTRUCTIONS

• MANDATORY: Execute ALL steps in the flow section IN EXACT ORDER
• DO NOT skip steps or change the sequence
• HALT immediately when halt-conditions are met
• Each action within a step is a REQUIRED action to complete that step
• Sections outside flow (validation, output, critical-context) provide essential context - review and apply throughout execution
• YOU MUST ALWAYS SPEAK OUTPUT in your Agent communication style with the communication_language

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INTEGRATION (When Invoked Indirectly)

When invoked from another prompt or process:

1. Receive or review the current section content that was just generated
2. Apply elicitation methods iteratively to enhance that specific content
3. Return the enhanced version back when user selects 'x' to proceed and return back
4. The enhanced content replaces the original section content in the output document

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FLOW

Step 1: Method Registry Loading

Action: Load and read ./methods.csv and {agent_party}

CSV Structure

• category: Method grouping (core, structural, risk, etc.)
• method_name: Display name for the method
• description: Rich explanation of what the method does, when to use it, and why it's valuable
• output_pattern: Flexible flow guide using arrows (e.g., "analysis -> insights -> action")

Context Analysis

• Use conversation history
• Analyze: content type, complexity, stakeholder needs, risk level, and creative potential

Smart Selection

1. Analyze context: Content type, complexity, stakeholder needs, risk level, creative potential
2. Parse descriptions: Understand each method's purpose from the rich descriptions in CSV
3. Select 5 methods: Choose methods that best match the context based on their descriptions
4. Balance approach: Include mix of foundational and specialized techniques as appropriate

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Step 2: Present Options and Handle Responses