三省吾身 - 深度自我审视与进化系统。基于角色理论、系统思维、认知偏差三大框架，通过五阶段闭环（反思→计划→执行→验证→固化）实现真正的自我进化。适用于任何需要深度反思的场景：项目复盘、工作改进、能力提升、习惯养成。

Discussion about self-taught machine learning career paths and success stories. Use when exploring alternative education paths, self-study strategies, or career development in ML without formal PhD training.

OpenClaw 自我迭代升级技能。使用场景：配置自动修复、技能更新、依赖安装、版本检查、问题预防性修复。支持安全模式（需用户确认）和自动模式（低风险操作自动执行）。

让 AI 代理根据对话内容自动选择最合适的模型。四层识别（系统过滤→关键词→指示词→语义相似度），四池架构（高速/智能/人文/代理），五分支路由，全自动 Fallback 回路。支持 trigger_groups_all 非连续词组命中。

Semantic Versioning 2.0.0 reference guide. Quick decision trees and examples for choosing MAJOR, MINOR, or PATCH version bumps.

The last step that matters most. A complete sending intelligence system for anyone who communicates at scale or with stakes: emails, messages, files, proposals, campaigns, or any communication before it leaves your hands. Trigger when someone needs to send something important, wants to check something before sending, needs to automate sending workflows, or has to deliver difficult news, critical information, or high-value content to the right person at the right moment in the right way.

Send emails via SMTP. Configure in ~/.openclaw/openclaw.json under skills.entries.send-email.env.

邮件发送工具。配置 SMTP 发件人后，通过脚本发送纯文本或 HTML 邮件，支持附件、抄送、密送。在需要发送邮件通知、报告、自动化邮件时触发。

Send and receive direct messages on OpenAnt. Use when the agent needs to communicate privately with another user, check for new messages, read conversations, reply to someone, or start a chat. Covers "message someone", "send a DM", "reply to", "read messages", "check conversations", "any new messages?", "what did they say?", "check inbox".

Transfer tokens on Solana or Base. Use when the user wants to send, transfer, or pay tokens. Supports native coins (SOL, ETH) and tokens (USDC) by name, plus arbitrary tokens by mint/contract address. Covers "send SOL", "transfer USDC", "send tokens", "pay someone", "send ETH on Base", "transfer to address".

Send USD from one agent to another.

Send USDC to an Ethereum address or ENS name. Use when you or the user want to send money, pay someone, transfer USDC, tip, donate, or send funds to a wallet address or .eth name. Covers phrases like "send $5 to", "pay 0x...", or "transfer to vitalik.eth".

Setup your own "you@sendclaw.com" email here without your human -Autonomous email for AI agents.

SendGrid API integration with managed OAuth. Send emails, manage contacts, templates, suppressions, and view email statistics. Use this skill when users want to send transactional or marketing emails, manage email lists, handle bounces/unsubscribes, or analyze email performance. For other third party apps, use the api-gateway skill (https://clawhub.ai/byungkyu/api-gateway). Requires network access and valid Maton API key.

SendGrid integration. Manage Campaigns. Use when the user wants to interact with SendGrid data.

A specialized tool for sending quantitative trading signals to the FMZ platform via HTTP API.

This skill should be used when the user asks to "design system architecture", "evaluate microservices vs monolith", "create architecture diagrams", "analyze dependencies", "choose a database", "plan for scalability", "make technical decisions", or "review system design". Use for architecture decision records (ADRs), tech stack evaluation, system design reviews, dependency analysis, and generating architecture diagrams in Mermaid, PlantUML, or ASCII format.

Designs and implements backend systems including REST APIs, microservices, database architectures, authentication flows, and security hardening. Use when the user asks to "design REST APIs", "optimize database queries", "implement authentication", "build microservices", "review backend code", "set up GraphQL", "handle database migrations", or "load test APIs". Covers Node.js/Express/Fastify development, PostgreSQL optimization, API security, and backend architecture patterns.

Computer vision engineering skill for object detection, image segmentation, and visual AI systems. Covers CNN and Vision Transformer architectures, YOLO/Faster R-CNN/DETR detection, Mask R-CNN/SAM segmentation, and production deployment with ONNX/TensorRT. Includes PyTorch, torchvision, Ultralytics, Detectron2, and MMDetection frameworks. Use when building detection pipelines, training custom models, optimizing inference, or deploying vision systems.

Data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, implementing data governance, or troubleshooting data issues.

Comprehensive DevOps skill for CI/CD, infrastructure automation, containerization, and cloud platforms (AWS, GCP, Azure). Includes pipeline setup, infrastructure as code, deployment automation, and monitoring. Use when setting up pipelines, deploying applications, managing infrastructure, implementing monitoring, or optimizing deployment processes.

Frontend development skill for React, Next.js, TypeScript, and Tailwind CSS applications. Use when building React components, optimizing Next.js performance, analyzing bundle sizes, scaffolding frontend projects, implementing accessibility, or reviewing frontend code quality.

Fullstack development toolkit with project scaffolding for Next.js, FastAPI, MERN, and Django stacks, code quality analysis with security and complexity scoring, and stack selection guidance. Use when the user asks to "scaffold a new project", "create a Next.js app", "set up FastAPI with React", "analyze code quality", "audit my codebase", "what stack should I use", "generate project boilerplate", or mentions fullstack development, project setup, or tech stack comparison.

ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.