Score coding tasks against a capability matrix to select optimal coder backends.
npx skills add https://github.com/bestdan/workflow-skills --skill select-coder
Please help me install this Agent Skill. Skill: select-coder Source: https://github.com/bestdan/workflow-skills/tree/main/skills/select-coder Command: npx skills add https://github.com/bestdan/workflow-skills --skill select-coder
This skill eliminates the guesswork in choosing an AI backend by objectively scoring tasks against a capability matrix, ensuring you always use the most cost-effective and capable model for your specific coding requirements.
Use the select-coder skill to recommend the best agent and model for implementing the new authentication module.
High-intent search queries and answers about installing and using this skill.
You can choose the optimal AI model by scoring task requirements like complexity and cost sensitivity against a capability matrix to find the most suitable agent backend. This ensures data-driven routing of coding tasks to the appropriate infrastructure.
Automated AI agent selection works by probing your local environment and auth status to filter available backends, then scoring task correctness and autonomy needs against a capability matrix to recommend runnable models.
You need a frontier model when a complex architectural task requires high-reasoning capabilities and strict verification. A cheaper, faster model is sufficient when your coding workflow demands lower cost and speed over deep reasoning.
Yes, you can use model selection with limited agent backends because the system probes local environment availability and auth status, ensuring it only recommends AI infrastructure that is actually runnable in your setup.
The best way to route coding tasks is to use a capability matrix that objectively scores correctness, cost, speed, and autonomy requirements against available agent backends, eliminating guesswork in choosing an AI backend.
Yes, capability scoring works for high cost sensitivity and verification needs by evaluating these specific task requirements against the matrix to balance cost-effectiveness with the necessary model capabilities.
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