Suggests optimal LLM model and Skill set for the next task.
npx skills add https://github.com/tatsuki-washimi/gwexpy --skill suggest-next
Please help me install this Agent Skill. Skill: suggest_next Source: https://github.com/tatsuki-washimi/gwexpy/tree/main/.agent/skills/suggest_next Command: npx skills add https://github.com/tatsuki-washimi/gwexpy --skill suggest-next
This Skill identifies the optimal LLM model and a compatible set of Skills for the next task, streamlining tool selection.
Run /suggest_next to receive a recommended model and skills with rationale.
High-intent search queries and answers about installing and using this skill.
Choosing the best LLM model for coding or research involves analyzing task type and project context to recommend a primary model like Claude, Gemini, or GPT. This approach tailors model selection to specific scenarios and provides a matching skill from the catalog with practical justification.
Matching AI skills with an LLM for refactoring is done by evaluating task requirements against a skills catalog. The system outputs a recommended model name from available options and a compatible skill entry, ensuring your refactoring setup is tailored with practical implementation guidance.
Yes, you can get a model recommendation for planning workflows without manual configuration. By running a single command, the system analyzes your planning scenario, automatically outputs a recommended model and matching skill, and provides a detailed rationale to streamline tool selection.
Yes, task classification affects AI-assistant model selection by categorizing scenarios into coding, research, refactoring, or planning. This classification allows the system to tailor its output, recommending the optimal LLM model and compatible skills specifically suited to the identified task type.
You should not use an automated model-selection skill when your project requires highly specialized constraints outside standard coding, research, refactoring, or planning scenarios. The tool relies on analyzing these specific task types to output a recommended model and matching skill from its available catalog.
adiomasInitialize autonomous coding tasks with project detection and state machine setup.
HieubkavAnalyze task context and recommend 1-3 skill combinations from a 51-skill catalog.
ckrono-progMatch user goals to relevant Replit skills and rank recommendations.
cheng80Benchmark AI models across Claude, GPT, and Gemini for latency, token usage, and cost.
