Tune AskUserQuestion prompts and per-question preferences within gstack workflows.
npx skills add https://github.com/wodeh/gstack-kimi --skill plan-tune-wodeh
Please help me install this Agent Skill. Skill: plan-tune Source: https://github.com/wodeh/gstack-kimi/tree/main/plan-tune Command: npx skills add https://github.com/wodeh/gstack-kimi --skill plan-tune-wodeh
Plan-tune addresses the challenge of inconsistent question pacing and misaligned prompts during AI-assisted planning by providing per-question preferences, profile-aware tuning, and proactive guidance to keep interactions efficient and relevant.
Run plan-tune to begin tuning questions by applying per-question preferences across your gstack plan workflow.
High-intent search queries and answers about installing and using this skill.
You can tune AskUserQuestion prompts by applying per-question preferences like never-ask, always-ask, or ask-only-for-one-way to align interactions with your plan-mode workflow.
Proactive prompt tuning optimizes question pacing and alignment during AI-assisted planning by using profile-aware adjustments and telemetry prompts to keep interactions relevant.
Dual-track profile inspection aligns inferred user behavior with declared expectations, enabling dynamic adjustments to prompts and proactive suggestions based on project context.
Yes, you can enable or disable telemetry prompts and model overlays within gstack by scoping tuning across various triggers and integrating with project workflow configurations.
Inconsistent question pacing occurs when prompts lack per-question preferences; applying a structured decision framework and profile-aware tuning resolves these misalignments.
No, plan-tune operates without external dependencies, relying entirely on the internal gstack config and project workflow to record decisions for continuous improvement.
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