Repoprompt

What it does

The repoprompt skill enables AI agents to automatically generate and refine prompts based on existing conversation history or context. It helps maintain consistency and depth by allowing the agent to recall previous interactions when constructing new instructions or queries.

When to use it

• You need an agent to remember specific constraints or preferences established in earlier turns of a conversation.
• You want to dynamically adjust prompt complexity based on the evolving state of a multi-step task.
• Your workflow requires regenerating prompts for similar tasks without manually rewriting context every time.
• You are building agents that must adhere to a strict persona or style defined during initial setup.

Key capabilities

• Automatically extracts relevant context from prior dialogue to inform new prompt generation.
• Refines and restructures instructions to align with ongoing conversation goals.
• Maintains continuity by preserving key details, constraints, and user preferences across sessions.

Example prompts

• "Use our previous discussion about the project timeline to create a detailed prompt for drafting the weekly status report."
• "Regenerate the coding task prompt based on the bug fixes we identified in the last three messages."
• "Create a new interview question set using the candidate's background details shared earlier in this chat."

Tips & gotchas

Ensure you provide sufficient initial context or conversation history, as the skill relies heavily on prior interactions to function effectively. Avoid relying on it for completely unrelated tasks where no historical context exists.