ReddRadar
Agent skill
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.
Install this agent skill to your Project
npx add-skill https://github.com/hexbee/hello-skills/tree/main/skills/china-model-selection-guide
SKILL.md
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.
- 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-5orMiniMax-M2.5
- 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.
- Satisfy hard constraints first: vision, long-context, cross-language, agentic planning
- Then compare cost and latency: pick better price/performance at similar quality
- Finally split by phase: allow multi-model routing inside one project
Composite Task Routing
Use this default pipeline.
- Planning:
GLM-5for architecture, decomposition, interfaces, schema decisions - Build:
- Frontend and visual replication:
Doubao-Seed-2.0-Code - Backend scripts, cross-language tasks, terminal automation:
MiniMax-M2.5
- Integration debugging: route hard cross-module issues back to
GLM-5 - Documentation handoff: send codebase and large document sets to
Kimi-K2.5
Output Format
Always include these in recommendations.
- Decision: primary model + fallback model
- Rationale: map to input type, complexity, and constraints
- Risks: likely weak points and rollback strategy
- Execution: a ready-to-use prompt draft
References
- Full guide and examples (Chinese):
references/china-model-selection-guide.md
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