Review existing memory and ask targeted questions about expertise and collaboration norms.
npx skills add https://github.com/sorawit-w/agent-skills --skill handshake
Please help me install this Agent Skill. Skill: handshake Source: https://github.com/sorawit-w/agent-skills/tree/main/skills/handshake Command: npx skills add https://github.com/sorawit-w/agent-skills --skill handshake
This Skill helps establish clear mutual understanding and expectations between the AI and the user by conducting a transparent calibration process upfront.
Invoke the handshake to review your profile and set project preferences, ensuring the AI represents your working style accurately.
High-intent search queries and answers about installing and using this skill.
Calibrating AI memory involves reviewing existing stored preferences, asking targeted questions about your expertise, and writing project details into a shared memory store to ensure consistent future interactions and personalized responses.
Explicit user calibration is a transparent onboarding process that establishes mutual understanding between you and the AI by asking targeted questions about your expertise and collaboration norms to tailor subsequent responses.
You can set collaboration norms by invoking a structured handshake process that captures your working preferences and project parameters, storing them in memory to align the AI with your specific needs.
Yes, proactive memory review surfaces existing user memory entries so you can verify or correct them before further interaction, ensuring the AI represents your working style accurately and avoids persistent misunderstandings.
You should use a structured memory update during new sessions or onboarding to establish clear mutual expectations, ensuring the AI understands your working style and project parameters before collaborating.
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