OpenClaw
minimax-usage
Monitor Minimax Coding Plan usage to stay within API limits. Fetches current usage stats and provides status alerts.
Annuaire des skills OpenClaw
Explorez les skills OpenClaw indexés, leurs catégories, descriptions et sources.
Catégories
Explorer
OpenClaw
minimax-video
Use Zhipu (智谱) web search API for searching the internet. Use when user asks for web search, latest news, or needs current information.
OpenClaw
minimax-vision-captcha
使用MiniMax视觉模型识别图片中的验证码、滑块位置、文字内容等。适用于需要AI视觉分析的场景，如微信验证码识别、网页截图分析、图片文字提取。当需要识别图片内容、分析验证码、提取截图信息时使用此技能。
OpenClaw
miniqmt
miniQMT Minimalist Quantitative Trading Terminal — Supports external Python for market data retrieval and programmatic trading via the xtquant SDK.
OpenClaw
mirage-proxy
Install and configure mirage-proxy as a transparent PII/secrets filter for OpenClaw LLM API calls. Handles binary installation, provider config, auto-restart, and multi-model routing through the proxy.
OpenClaw
miro-api
Complete Miro REST API reference for building integrations, automating workflows, and programmatically managing boards, cards, shapes, users, and team resources. Language-agnostic documentation with examples, a...
OpenClaw
miro-developer-app
Miro Developer App integration. Manage Boards, Users. Use when the user wants to interact with Miro Developer App data.
OpenClaw
miro-mcp
Connect OpenClaw agents to Miro via Model Context Protocol (MCP). Use when generating diagrams, visualizing code, brainstorming board layouts, or integrating Miro into AI-powered design workflows. Supports OAut...
OpenClaw
miro-sdk
Complete Miro Web SDK reference for building web plugins and desktop applications. Covers setup, core APIs (boards, shapes, text, items, selections, events), authentication, real-time collaboration, examples in...
OpenClaw
mission-control
CLI-first system health aggregator for autonomous AI agents. Query all agent processes, resources, cron jobs, and services in one shot. Use when a user asks for system status, agent health, resource monitoring,...
OpenClaw
mission-control-visual-qa
Run Mission Control visual QA on SAPCONET over SSH using Puppeteer screenshots and basic DOM checks.
OpenClaw
mission-control-visual-qa
Run Mission Control visual QA over SSH using Puppeteer screenshots and basic DOM checks.
OpenClaw
mixcache-ebook-search-suggester
When a user wants ebooks on a topic (or asks where to find ebooks about something), suggest Mixcache search result pages by generating one or more Mixcache book-search URLs using GET queries in the format: http...
OpenClaw
ml-evolution-agent
Auto-evolving ML competition agent. Learns from each experiment, accumulates HCC multi-layer memory, and continuously improves LB scores. Inspired by MLE-Bench #1 ML-Master methodology.
OpenClaw
ml-experiment-tracker
Plan reproducible ML experiment runs with explicit parameters, metrics, and artifacts. Use before model training to standardize tracking-ready experiment definitions.
OpenClaw
ml-model-eval-benchmark
Compare model candidates using weighted metrics and deterministic ranking outputs. Use for benchmark leaderboards and model promotion decisions.
OpenClaw
ml-pipeline
Complete machine learning pipeline for trading: feature engineering, AutoML, deep learning, and financial RL. Use for automated parameter sweeps, feature creation, model training, and anti-leakage validation.
OpenClaw
mlops-automation-cn
Task automation, containerization, CI/CD, and experiment tracking
OpenClaw
mlops-collaboration-cn
Prepare projects for sharing, collaboration, and community
OpenClaw
mlops-industrialization-cn
Transform prototypes into distributable Python packages
OpenClaw
mlops-initialization-cn
MLOps project initialization with uv/git/VS Code best practices
OpenClaw
mlops-observability-cn
Full stack observability - reproducibility, lineage, monitoring, alerting
OpenClaw
mlops-prototyping-cn
Structured Jupyter notebook prototyping with pipeline integrity
OpenClaw
mlops-validation-cn
Rigorous validation with typing, linting, testing, and security
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.