delegate-to-minimax
Offload bulk text tasks like summarization, conversion, and drafts to the MiniMax API to save your main model's rate limits.
Install
mkdir -p .claude/skills/delegate-to-minimax && curl -L -o skill.zip "https://agentskills.codes/api/skills/download/15984" && unzip -o skill.zip -d .claude/skills/delegate-to-minimax && rm skill.zipInstalls to .claude/skills/delegate-to-minimax
Activation
This is the description your AI agent reads to decide when to run this skill — the better it matches your request, the more reliably it fires.
Route bulk text processing tasks to MiniMax MCP tools to conserve GLM rate limits. Use this skill whenever the user asks for summarization, format conversion, test data generation, email drafts, commit messages, keyword extraction, data cleaning, boilerplate code generation, or document drafting. Also trigger when processing large volumes of files or content. Do NOT use for translation (MiniMax mixes Chinese into Japanese), code changes to existing codebases, architecture design, debugging, code review, or security decisions — those stay with GLM.Key capabilities
- →Summarize file or URL content
- →Convert data formats like JSON, YAML, CSV, XML, TOML
- →Generate test data or mock data
- →Draft business emails
- →Extract keywords or key points from text
- →Generate boilerplate or template code
How it works
The skill identifies the task type and routes it to a specific MiniMax MCP tool for execution, then reports the results.
Inputs & outputs
When to use delegate-to-minimax
- →Summarizing large documents
- →Converting data formats like JSON to YAML
- →Generating mock test data
- →Drafting business emails
- →Extracting keywords from text
About delegate-to-minimax
Automatically routes non-critical text tasks such as summarization, format conversion, and boilerplate generation to MiniMax MCP tools. It preserves GLM capacity for complex tasks like code changes, architectural design, and debugging.
Route bulk text processing tasks to MiniMax MCP tools to conserve GLM rate limits. Use this skill whenever the user asks for summarization, format conversion, test data generation, email drafts, commit messages, keyword extraction, data cleaning, boilerplate code generation, or document drafting. Al
When not to use it
- →For translation tasks, as MiniMax mixes Chinese into output
- →For code changes or refactoring that depend on existing codebase context
- →For architecture design or proposals requiring project knowledge
Limitations
- →MiniMax mixes Chinese into translation output
- →Not suitable for tasks requiring understanding of existing project structure
- →Not suitable for code review or security decisions
How it compares
This workflow offloads text-heavy, non-critical tasks to MiniMax MCP tools, preserving GLM capacity for complex tasks like code changes and debugging.
Compared to similar skills
delegate-to-minimax side by side with the closest alternatives in the catalog.
| Skill | Installs | Updated | Safety | Difficulty |
|---|---|---|---|---|
| delegate-to-minimax (this skill) | 0 | 3mo | No flags | Beginner |
| using-superpowers | 95 | 4mo | No flags | Beginner |
| ultrawork | 11 | 4mo | No flags | Advanced |
| clawhub | 25 | 4mo | Review | Intermediate |
Try saying
Example prompts that trigger this skill in your AI assistant.
You might also like
using-superpowers
obra
Use when starting any conversation - establishes mandatory workflows for finding and using skills, including using Skill tool before announcing usage, following brainstorming before coding, and creating TodoWrite todos for checklists
ultrawork
Yeachan-Heo
Parallel execution engine for high-throughput task completion
clawhub
openclaw
Use the ClawHub CLI to search, install, update, and publish agent skills from clawhub.com. Use when you need to fetch new skills on the fly, sync installed skills to latest or a specific version, or publish new/updated skill folders with the npm-installed clawhub CLI.
skill-installer
openai
Install Codex skills into $CODEX_HOME/skills from a curated list or a GitHub repo path. Use when a user asks to list installable skills, install a curated skill, or install a skill from another repo (including private repos).
continuous-learning
affaan-m
Automatically extract reusable patterns from Claude Code sessions and save them as learned skills for future use.
memory-keeper-proactive-context-maintenance
b4CU-R4U
Automatically detect and maintain memory freshness by monitoring context staleness, significant code changes, task completions, and phase transitions. Proactively suggests and executes memory sync operations with user confirmation. Use when the user says "sync memory", "update context", or when the Skill detects that context is stale (>2 hours), significant changes have occurred (new commits), tasks completed, or major milestones reached. Replaces passive "context is stale" warnings with active maintenance.