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)

MiniMax Prompt Templates

Copy-ready starting points for the most common jobs people bring to this model. Swap the [BRACKETED] parts for your own details, or use them as a shape to imitate when you write your own.

Multi-Turn Function Calling

Agentic

MiniMax leads on multi-turn tool use — define the tools precisely.

Goal: [THE END STATE]

Available functions:
- `[function_name](param: type)` — [what it does, when to call it]
- `[function_name](param: type)` — [what it does, when to call it]

Rules:
- Call a function rather than guessing any value you do not have.
- Chain calls where one result feeds the next; do not ask me between steps.
- If a call fails, retry once with corrected arguments, then report the failure.

Report: the call sequence you made, the result of each, and the final answer.

Long-Horizon Coding Task

Engineering

Full spec for end-to-end implementation work.

## Goal
[WHAT TO BUILD]

## Context
[STACK, VERSIONS, EXISTING ARCHITECTURE]
[PASTE RELEVANT CODE]

## Requirements
[NUMBERED LIST]

## Constraints
[DEPENDENCIES, PERFORMANCE, COMPATIBILITY]

## Output Format
Implementation plan, then complete code per file, then tests, then a verification checklist.

Large Document Processing

Analysis

Plays to MiniMax's large-context document work.

[PASTE LONG DOCUMENT OR CORPUS]

---

Task: [WHAT TO DO WITH IT]

Requirements:
- Reference the section behind each finding.
- Keep terminology consistent with the source.
- Note any section you could not parse.

Format: [FORMAT].

Agent Workflow Design

Agentic

Designing the decomposition rather than executing it.

Design an agent workflow that accomplishes: [GOAL]

Available capabilities: [TOOLS / APIs / DATA SOURCES]

For each step specify: the trigger, the tool called, the inputs, the success check, and what happens on failure.

Constraints: [LATENCY, COST, HUMAN-IN-THE-LOOP POINTS]

Format: a numbered step table, then the failure-handling policy, then the three most likely failure modes.

Code Migration

Engineering

Explicit before/after with behaviour preservation.

Migrate the code below from [SOURCE] to [TARGET].

Preserve: [BEHAVIOUR THAT MUST NOT CHANGE]
Allowed to change: [WHAT MAY CHANGE]
Forbidden: [WHAT MUST NOT BE TOUCHED]

Return the migrated code, then a mapping table of old construct → new construct, then anything that has no clean equivalent and how you handled it.

Code:
[PASTE CODE]

Structured Business Analysis

Business

General analytical work with clear decision criteria.

You are a [ROLE].

Analyse [SUBJECT] and recommend [DECISION].

Context: [BACKGROUND]. Constraints: [CONSTRAINTS]. Decision criteria in priority order: [1], [2], [3].

Requirements: quantify where possible, state assumptions explicitly, give one recommendation rather than a menu.

Format: recommendation, reasoning, risks, next steps. Under [WORD COUNT] words.

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 1 free prompt generation 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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