菜单
Use this for recommending which AI model fits a specific task based on reasoning depth, speed, tool use, coding needs, multimodality, cost sensitivity, and reliability tradeoffs.
用 Codex 或 Claude 帮你安装 复制这段 Prompt，粘贴到 Codex、Claude 或其他助手里，让它检查 Skill 页面并帮你完成安装。
基于 SOC 职业分类
| name | bosskuai-ai-model-selection |
| description | Use this for recommending which AI model fits a specific task based on reasoning depth, speed, tool use, coding needs, multimodality, cost sensitivity, and reliability tradeoffs. |
Use this for recommending which AI model fits a specific task based on reasoning depth, speed, tool use, coding needs, multimodality, cost sensitivity, and reliability tradeoffs.
Open ../../references/playbooks/bosskuai-ai-model-selection-playbook.md only when the task needs detailed framework choices, longer checklists, examples, or implementation depth.
Before finalizing, check:
Use this for Hyperframes video composition work, including HTML-based scene authoring, preview/render workflows, CLI commands, agent-friendly composition updates, and GSAP-assisted animation inside Hyperframes projects.
Use when a Codex workspace needs BosskuAI routing, repo-local memory, skill selection, or quality gates without loading the full toolkit.
Use this for cloud/server/API/model cost control, token budgets, queue sizing, storage costs, vendor spend, and unit economics.
Use this for support SOPs, onboarding, ticket triage, customer success playbooks, retention, churn reduction, and feedback loops.
Use this for agent eval design, routing tests, retrieval tests, LLM quality cases, regression harnesses, scorecards, and continuous agent improvement.
Use this for Malaysia PDPA-aware privacy review, data minimization, consent, retention, user rights, vendor processors, and privacy-safe SaaS operations.
