ML Ops
Machine learning operations
m14-mental-model
by actionbook
"Use when learning Rust concepts. Keywords: mental model, how to think about ownership, understanding borrow checker, visualizing memory layout, analogy, misconception, explaining ownership, why does Rust, help me understand, confused about, learning Rust, explain like I'm, ELI5, intuition for, coming from Java, coming from Python, 心智模型, 如何理解所有权, 学习 Rust, Rust 入门, 为什么 Rust"
latest-software-version
by GoogleCloudPlatform
Real-time source of truth for software and model versions. Activate when adding dependencies, installing packages, or identifying Gemini model names. Bypasses internal knowledge cutoffs by querying live registries (NPM, PyPI, Go Proxy) and official documentation.
higress-auto-router
by alibaba
"Configure automatic model routing using the get-ai-gateway.sh CLI tool for Higress AI Gateway. Use when: (1) User wants to configure automatic model routing, (2) User mentions 'route to', 'switch model', 'use model when', 'auto routing', (3) User describes scenarios that should trigger specific models, (4) User wants to add, list, or remove routing rules."
ai-ml-timeseries
by vasilyu1983
"Operational patterns, templates, and decision rules for time series forecasting (modern best practices): tree-based methods (LightGBM), deep learning (Transformers, RNNs), future-guided learning, temporal validation, feature engineering, generative TS (Chronos), and production deployment. Emphasizes explainability, long-term dependency handling, and adaptive forecasting."
change-management
by alirezarezvani
"Framework for rolling out organizational changes without chaos. Covers the ADKAR model adapted for startups, communication templates, resistance patterns, and change fatigue management. Handles process changes, org restructures, strategy pivots, and culture changes. Use when announcing a reorg, switching tools, pivoting strategy, killing a product, changing leadership, or when user mentions change management, change rollout, managing resistance, org change, reorg, or pivot communication."
ultrawork
by Yeachan-Heo
Parallel execution engine for high-throughput task completion
TRL Training on Hugging Face Jobs
by patchy631
In-depth tutorials on LLMs, RAGs and real-world AI agent applications.
knowledge-query
by GongLingRui
专注于竖屏短剧知识库查询和信息检索，提供专业知识服务。适用于查询剧本桥段、高能情节、创作技巧、商业运营等专业知识
drama-planner
by GongLingRui
制定竖屏短剧专业策划方案，含情绪价值分析、黄金三秒钩子设计、三幕式结构规划等。适用于短剧项目前期策划、商业化方案设计、创作指导
plot-keypoints
by GongLingRui
梳理故事主线，提炼并按发展阶段排列主要情节点。适用于快速掌握故事结构、制作大纲及剧本改编结构梳理
senior-ml-engineer
by alirezarezvani
ML engineering skill for productionizing models, building MLOps pipelines, and integrating LLMs. Covers model deployment, feature stores, drift monitoring, RAG systems, and cost optimization.
llama-cpp
by Orchestra-Research
Runs LLM inference on CPU, Apple Silicon, and consumer GPUs without NVIDIA hardware. Use for edge deployment, M1/M2/M3 Macs, AMD/Intel GPUs, or when CUDA is unavailable. Supports GGUF quantization (1.5-8 bit) for reduced memory and 4-10× speedup vs PyTorch on CPU.
rwkv-architecture
by Orchestra-Research
RNN+Transformer hybrid with O(n) inference. Linear time, infinite context, no KV cache. Train like GPT (parallel), infer like RNN (sequential). Linux Foundation AI project. Production at Windows, Office, NeMo. RWKV-7 (March 2025). Models up to 14B parameters.
sag
by openclaw
ElevenLabs text-to-speech with mac-style say UX.
cold-call-scripts
by sachacoldiq
1-minute cold call script (5 steps) and no-show phone script. Use when training SDRs on calls, building call frameworks, or handling common phone scenarios.
scenario-war-room
by alirezarezvani
"Cross-functional what-if modeling for cascading multi-variable scenarios. Unlike single-assumption stress testing, this models compound adversity across all business functions simultaneously. Use when facing complex risk scenarios, strategic decisions with major downside, or when the user asks 'what if X AND Y both happen?'"
hud
by Yeachan-Heo
"Show or configure the OMX HUD (two-layer statusline)"
qcbm
by unitarylab
Skill for understanding, using, and implementing the Quantum Circuit Born Machine (QCBM) for learning discrete probability distributions (Bars-and-Stripes) via the QCBMAlgorithm class.
vqc
by unitarylab
Skill for understanding, using, and implementing the Variational Quantum Classifier (VQC) for Iris dataset classification with data re-uploading and Parameter Shift Rule via the VQCAlgorithm class.
sherpa-onnx-tts
by openclaw
Local text-to-speech via sherpa-onnx (offline, no cloud)
m09-domain
by actionbook
"CRITICAL: Use for domain modeling. Triggers: domain model, DDD, domain-driven design, entity, value object, aggregate, repository pattern, business rules, validation, invariant, 领域模型, 领域驱动设计, 业务规则"
ai-ml-data-science
by vasilyu1983
"End-to-end data science and ML engineering workflows: problem framing, data/EDA, feature engineering (feature stores), modelling, evaluation/reporting, plus SQL transformations with SQLMesh. Use for dataset exploration, feature design, model selection, metrics and slice analysis, model cards/eval reports, experiment reproducibility, and production handoff (monitoring and retraining)."
openai-image-gen
by openclaw
Batch-generate images via OpenAI Images API. Random prompt sampler + index.html gallery.
django-patterns
by rohitg00
Django architecture patterns including DRF, ORM optimization, signals, middleware, and project structure