china-model-selection-guide

China model selection and task-routing guide for Doubao-Seed-2.0-Code, GLM-5, MiniMax-M2.5, and Kimi-K2.5. Use when users need to choose the best-fit model by input type, task complexity, engineering constraints, and delivery goals, including staged multi-model workflows.

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Install skill "china-model-selection-guide" with this command: npx skills add hexbee/hello-skills/hexbee-hello-skills-china-model-selection-guide

China Model Selection Guide

Follow this flow to recommend models. Load references/china-model-selection-guide.md for the full Chinese playbook, scenarios, strengths, and prompt templates.

Quick Triage

Answer two questions first, then give a primary pick.

  1. Identify core input type
  • Visual-first input (UI mockups, screenshots, sketches): prefer Doubao-Seed-2.0-Code
  • Very long text or many files (dozens of docs, full codebase): prefer Kimi-K2.5
  • Structured engineering prompts (clear coding requirements, Shell commands): prefer GLM-5 or MiniMax-M2.5
  1. Identify task complexity
  • Complex reasoning or autonomous planning (system design, codebase refactor): prefer GLM-5
  • Cross-language engineering (Python/C++, Java/Go): prefer MiniMax-M2.5
  • Clear task but heavy execution (UI-to-code, template generation): prefer Doubao-Seed-2.0-Code

Tie-Break Rules

When multiple models fit, decide in this order.

  1. Satisfy hard constraints first: vision, long-context, cross-language, agentic planning
  2. Then compare cost and latency: pick better price/performance at similar quality
  3. Finally split by phase: allow multi-model routing inside one project

Composite Task Routing

Use this default pipeline.

  1. Planning: GLM-5 for architecture, decomposition, interfaces, schema decisions
  2. Build:
  • Frontend and visual replication: Doubao-Seed-2.0-Code
  • Backend scripts, cross-language tasks, terminal automation: MiniMax-M2.5
  1. Integration debugging: route hard cross-module issues back to GLM-5
  2. Documentation handoff: send codebase and large document sets to Kimi-K2.5

Output Format

Always include these in recommendations.

  1. Decision: primary model + fallback model
  2. Rationale: map to input type, complexity, and constraints
  3. Risks: likely weak points and rollback strategy
  4. Execution: a ready-to-use prompt draft

References

  • Full guide and examples (Chinese): references/china-model-selection-guide.md

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