MiniMax Prompt Generator

Generate optimized prompts for MiniMax using the 2026 prompting framework. Agent-first briefs with explicit tool declaration, interleaved thinking (Plan → Act → Verify), long-horizon coding scaffolding, and 1M-token context support — production-ready for the MiniMax chat app, the API, and any agent runtime.

Be specific about what you want the AI to do

Generated Prompt

Fill in the form and click "Generate" to create an optimized MiniMax prompt.

Tip: The more specific your task description and context, the better the generated prompt will perform.

MiniMax Tips

  • MiniMax is purpose-built for AGENTS and CODE — frame multi-step work as Goal → Tools → Decomposition → Done criteria
  • Long-horizon coding is a strength: name repo structure, standards, test framework, and success criteria
  • For multi-step work, ask MiniMax to plan before each tool call and verify after — interleaved thinking pairs well with this style
  • 1M-token context window — paste in entire codebases, full docs, full transcripts, then put the instruction at the end
  • For coding agents, ask for the final answer in a fixed format (JSON with keys, structured Markdown, or unified diff)

How to Use the Prompt Generator

1

Define Your Task

Pick a workflow type — One-Shot, Agent (with tools), or Long-Horizon Coding. Describe the goal, the role MiniMax should play, and (for agents) the available tools.

2

Add Context

Paste in the relevant codebase, docs, or background data. MiniMax has a 1M-token window — be generous with context. Set tone, output format, and constraints.

3

Generate & Use

Click Generate to get an agent-first MiniMax brief. Paste it into the MiniMax chat app, the API, or your agent runtime (Claude Code, Cursor, Cline, custom MCP host).

Frequently Asked Questions

What is MiniMax?

MiniMax is a leading AI lab whose flagship models are purpose-built for AGENTS and CODE. They lead on multi-turn function calling benchmarks (significantly ahead on Berkeley Function Calling multi-turn), are stable across long-horizon coding tasks, and ship with native interleaved-thinking support that lets them plan, act, and verify across very long workflows.

When should I use MiniMax over a general chat model?

Pick MiniMax when the task is genuinely an AGENT WORKFLOW (multi-step, requires tools, file system, web search, code execution) or LONG-HORIZON CODING (multi-file refactors, end-to-end features, large diffs across hundreds of files). For one-shot Q&A or short writing tasks, a general chat model is fine — MiniMax's agent-first design shines when the work has many steps.

How does this prompt generator work?

You provide a task, role, context, and pick the workflow type — One-Shot, Agent, or Long-Horizon Coding. The generator applies MiniMax-specific 2026 best practices: agent-first framing, explicit tool declaration, plan-before-each-step interleaved thinking, structured output, and instruction-after-context placement for very large contexts.

What is interleaved thinking?

Interleaved thinking is MiniMax's pattern of planning before each action and verifying after each tool call, weaving short reasoning between tool uses rather than thinking once at the start. It dramatically reduces failure rate in long agent loops where every dropped step means wasted retries. Turn the toggle ON for any non-trivial multi-step work.

How big is MiniMax's context window?

MiniMax supports a 1,000,000-token context window — you can paste in entire codebases, full books, full meeting transcripts, or the contents of an entire issue tracker. Place your instruction AFTER the context with a bridging sentence ("Based on the material above, ...").

Is this tool free to use?

Yes. You get 3 free prompt generations per day with no signup required. For unlimited access, sign up for a Promptslove membership which includes all AI tools and 20,000+ premium prompts.

Where can I use the generated prompts?

The prompts work with the MiniMax chat app, the MiniMax API, and any agent runtime that integrates MiniMax (Claude Code, Cursor, Cline, Kilo Code, Droid, custom MCP-based agents). Because MiniMax exposes an Anthropic-compatible API, prompts also drop into Claude-style agent tooling cleanly.

Can I use these prompts with other AI tools?

Yes — the agent-first structure (Goal → Tools → Decomposition → Done criteria) and structured-output discipline are universal. Drop the same prompts into Claude (especially with Extended Thinking), ChatGPT, Gemini, Kimi (Agent mode), DeepSeek, or Qwen.

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