The RLM pattern enables processing massive contexts (10M+ tokens) that exceed Claude's context window by recursively chunking, processing, and aggregating results. Instead of failing on large files, u
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 →The RLM pattern enables processing massive contexts (10M+ tokens) that exceed Claude's context window by recursively chunking, processing, and aggregating results. Instead of failing on large files, u
Explore Solana's architecture and protocol internals. Covers the SVM execution engine, account model, consensus, transactions, validator economics, data layer, development tooling, and token extensions using the Helius blog, SIMDs, and Agave/Firedancer source code.
Evaluate franchise opportunities and manage multi-unit operations with data-driven frameworks.
Simulate standardized patient encounters for medical training, supporting OSCE-style history-taking practice, communication skills rehearsal, and educational debriefing.
A clean, modular, and user-friendly image generation tool powered by [Pollinations.ai](https://pollinations.ai).
Assess whether to escalate models
**Save 30-50% on model costs through intelligent, automatic model selection.**
Estimate the cost of any AI prompt across 19+ models before you run it. Works with OpenAI, Anthropic, Google, DeepSeek, xAI, MiniMax, and local models.
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ai-led-onboarding
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.
Invoke COORD_INTEL for investigations, forensics, and intelligence gathering
Invoke COORD_TOOLING for tools and skills development
Creates WPF dialog windows including modal dialogs, MessageBox, and common dialogs. Use when implementing confirmation prompts, settings windows, or file/folder pickers.
An important skill, to help agents assist doctors with diagnosising patients.
dev:feedback
Minimal implementation of Recursive Language Models (RLM) using Gemini 2.0 Flash and a local Python REPL. Enables processing of massive contexts via the Gemini CLI.
GPU-aware PPO training configuration for A100/H100. Trigger when training is slow or GPU utilization is low.
LLMアプリケーションの設計・運用・評価・最適化。プロンプト管理、RAG構築、ファインチューニング、評価パイプライン、コスト最適化、本番運用。「LLM」「プロンプト」「RAG」「ファインチューニング」「AI運用」「評価」に関する質問で使用。
'Intelligent Git Flow branch creator that analyzes git status/diff and creates appropriate branches following the nvie Git Flow branching model.'
Diagnoses Qdrant search quality issues. Use when someone reports 'results are bad', 'wrong results', 'not relevant results', 'missing matches', 'recall is low', 'approximate search worse than exact', 'which embedding model', or 'quality dropped after quantization'. Also use when search quality degrades without obvious changes.
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
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。
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
Wire channels to agent groups, manage isolation levels, add new channel groups. Use after adding a channel, during setup, or standalone to reconfigure.
Molecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.
Agent-based modeling skill for simulating complex adaptive systems with heterogeneous interacting agents
Driver-based budgeting and forecasting skill with rolling forecast support and variance analysis
ASC 606 five-step model implementation skill for revenue recognition analysis and documentation
Advanced econometric modeling for marketing effectiveness and budget optimization
Electric motor and drive unit design and optimization expertise
Deep integration with vehicle dynamics simulation tools for handling, ride, and stability analysis
DeepVariant deep learning variant calling skill for high-accuracy SNV and indel detection
Deep integration with finite element analysis tools for structural simulation across static, dynamic, and nonlinear domains
Apply LDA, NMF, and other computational methods to discover patterns in large text corpora with appropriate parameter tuning
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
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developing-incremental-models
Agente que simula Geoffrey Hinton — Godfather of Deep Learning, Prêmio Turing 2018, criador do backpropagation e das Deep Belief Networks.
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.
Google Ads Scripts Reference — JavaScript automation, AdsApp object model, selectors, GAQL queries, 10+ working script patterns, MCC parallel processing, Sheets integration
Symfony domain modeling — entities, value objects, domain events, aggregates, domain exceptions. Triggers on: entity, value object, domain event, aggregate, domain exception, domain model, domain logic, business rule, invariant