OpenClaw首个生活场景Skill - 你的AI穿搭闺蜜。拍照录入衣橱、智能推荐搭配、逛街种草咨询，还有衣橱分析帮你科学购物。支持多模态识别，无需关键词，像跟闺蜜聊天一样自然。
Skills（SKILL.md）は、AIエージェント（Claude Code、Cursor、Codexなど）に特定の能力を追加するための設定ファイルです。
詳しく見る →OpenClaw首个生活场景Skill - 你的AI穿搭闺蜜。拍照录入衣橱、智能推荐搭配、逛街种草咨询，还有衣橱分析帮你科学购物。支持多模态识别，无需关键词，像跟闺蜜聊天一样自然。
Simulate standardized patient encounters for medical training, supporting OSCE-style history-taking practice, communication skills rehearsal, and educational debriefing.
>
Assess whether to escalate models
**Save 30-50% on model costs through intelligent, automatic model selection.**
>-
Run an autonomous Open Ralph Wiggum coding loop using OpenCode Zen with free models and automatic fallback.
AI engineering skill for prompt optimization, context inference, and intelligent command routing across different models and use cases
Use when implementing ANY Apple Intelligence or on-device AI feature. Covers Foundation Models, @Generable, LanguageModelSession, structured output, Tool protocol, iOS 26 AI integration.
Business model design using Osterwalder's Business Model Canvas and Lean Canvas. Creates 9-block canvases with structured analysis for business model innovation and startup validation.
Autonomously draft and polish chapters through multi-skill editorial passes. Use when you have a complete outline and want to produce a polished first draft with iterative refinement.
Project handover process for lead generation websites. Documentation, training, credentials, maintenance. Use when project complete.
Writing controller handler functions
Invoke COORD_INTEL for investigations, forensics, and intelligence gathering
GPU-aware PPO training configuration for A100/H100. Trigger when training is slow or GPU utilization is low.
Ultrathink LLM-as-Judge validation of completed work. Uses extended thinking by DEFAULT for thorough evaluation.
'Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.'
This public intake copy packages `plugins/antigravity-awesome-skills/skills/bdi-mental-states` from `https://github.com/sickn33/antigravity-awesome-skills` into the native Omni Skills editorial shape
This public intake copy packages `plugins/antigravity-awesome-skills-claude/skills/bdi-mental-states` from `https://github.com/sickn33/antigravity-awesome-skills` into the native Omni Skills editorial
AI โบรกเกอร์สินเชื่อบ้าน — เปรียบเทียบธนาคาร, ต่อรองดอกเบี้ย, ยื่นกู้, รีไฟแนนซ์, วิเคราะห์ต้นทุนแท้จริง
对任何主题进行系统调研，自动产出图文并茂的 Markdown 文档（含 Mermaid 结构图 + qwen-image 可视化），保存到认知结构对应维度的知识库，并自动注册到文档分类清单和知识图谱。当用户说「帮我调研/调研一下/系统调研/研究一下/帮我系统了解/深度研究 [主题]」时触发。
| | 产品反馈处理（本 Skill）| 规范审核迭代 |
Most companies can tell you who their competitors are. Very few can tell you why they're winning or losing against them. Even fewer can tell you whether their position is getting stronger or weaker ri
>
ASC 606 five-step model implementation skill for revenue recognition analysis and documentation
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
Analyze the current codebase and produce a structured threat model at `.turbo/threat-model.md`.
Run health checks on Claude Code configuration and sessions. Use when troubleshooting Claude Code issues.
Recognize patterns of context failure: lost-in-middle, poisoning, distraction, and clash
>-
>-
Predict project completion dates using ML models. Forecast schedule delays based on current progress, historical patterns, and risk factors.
>
developing-incremental-models
Sub-skill técnica de Yann LeCun. Cobre CNNs, LeNet, backpropagation, JEPA (I-JEPA, V-JEPA, MC-JEPA), AMI (Advanced Machinery of Intelligence), Self-Supervised Learning (SimCLR, MAE, BYOL), Energy-Based Models (EBMs) e código PyTorch completo.
Traditional physical education rotates through activities on a weekly or biweekly schedule: basketball this week, volleyball next week, fitness the week after. Daryl Siedentop's Sport Education model
TypeScript best practices and patterns. Use when writing TypeScript, fixing type errors, or working with generics.
Google Ads Scripts Reference — JavaScript automation, AdsApp object model, selectors, GAQL queries, 10+ working script patterns, MCC parallel processing, Sheets integration
Explaining Machine Learning Models
explaining-machine-learning-models
klingai-camera-control
langchain-model-inference
together-common-errors
Modifies the data preparation phase of a PyTorch RNN/LSTM training script to limit the dataset size by dividing it into chunks. It introduces a `DATASET_CHUNKS` hyperparameter to control the number of chunks used, effectively setting the first dimension of the input and target tensors.
Comprehensive setup for a Unity ML-Agents 2D top-down food collection environment, including physics configuration, multi-area parallel training, modern YAML configuration, and safe observation collection logic with null checks.
Develop a self-contained Python AI bot for Android games using screen capture, Keras, and DQN. Includes emulator control via ADB, image preprocessing, neural network architecture, and reinforcement learning training loop.
Assess bias in medical prediction model studies using PROBAST tool. Use when user wants to evaluate the quality or risk of bias of a medical paper (text or PDF).
>-
Split and read long documents chapter-by-chapter for structured analysis
>