This skill helps you consolidate topic modeling outputs into a theory-driven, reproducible classification framework for academic manuscripts and Excel updates.
npx playbooks add skill tyrealq/q-skills --skill q-topic-finetuning
The Q Topic Finetuning skill is used for automation tasks, specifically to help consolidate topic modeling outputs into a coherent framework. It enables the creation of a theory-driven and reproducible classification system, which can be applied to academic manuscripts and updates in Excel. Developers would use this skill when they need to organize and make sense of topic modeling results in a way that is consistent and reliable.
The 20-word prompt provides structured automation & integrations guidance — covering detailed methodology and consistent output formats. Install it in one command.
This skill helps you consolidate topic modeling outputs into a theory-driven, reproducible classification framework for academic manuscripts and Excel updates.
Q Topic Finetuning is a free automation & integrations skill for AI coding agents. This skill helps you consolidate topic modeling outputs into a theory-driven, reproducible classification framework for academic manuscripts and Excel updates.. It provides a specialized system prompt that configures your agent with automation & integrations expertise.
Run npx playbooks add skill tyrealq/q-skills --skill q-topic-finetuning in your terminal to install Q Topic Finetuning into your Claude Code session. It works immediately after installation.
Q Topic Finetuning is compatible with Claude Code, Cursor, GitHub Copilot, Windsurf, OpenClaw, Cline, and any AI agent that supports custom system prompts or .cursorrules files.
Yes, Q Topic Finetuning is completely free and open source. The full source is available on GitHub at https://github.com/tyrealq/q-skills/tree/main/skills/q-topic-finetuning. You only need a subscription to the AI agent you use it with.
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