ML Ops
Machine learning operations
seedance-storyboard
by elementsix
将任何想法转换成即梦 Seedance 2.0 专业分镜提示词。当用户想要生成视频、制作短视频、创作分镜、使用 Seedance/即梦/剪映 AI 视频时调用。
dspy
by vamseeachanta
Compile prompts into self-improving pipelines with signatures, modules, optimizers, and programmatic prompt engineering
agenta
by vamseeachanta
LLM prompt management and evaluation platform. Version prompts, run A/B tests, evaluate with metrics, and deploy with confidence using Agenta's self-hosted solution.
soul
by saadshahd
Use when starting any task, thinking through confidence, verifying work, or asking "what could go wrong". Triggers on every non-trivial request, "how confident", "verify this", "think through".
ai-elements
by laguagu
AI Elements component library for AI-native applications. Use when building chatbots, AI workflows, or integrating with Vercel AI SDK's useChat hook.
marketing-leads-generation
by vasilyu1983
Use when building or fixing B2B pipeline. Revenue-aligned demand generation with lead types, funnel design, conversion paths, scoring/routing, attribution, ABS motions, and compliance.
ai-llm-inference
by vasilyu1983
"Operational patterns for LLM inference: latency budgeting, tail-latency control, caching, batching/scheduling, quantization/compression, parallelism, and reliable serving at scale. Emphasizes production-grade performance, cost control, and observability."
pytm
by AgentSecOps
Python-based threat modeling using pytm library for programmatic STRIDE analysis, data flow diagram generation, and automated security threat identification. Use when: (1) Creating threat models programmatically using Python code, (2) Generating data flow diagrams (DFDs) with automatic STRIDE threat identification, (3) Integrating threat modeling into CI/CD pipelines and shift-left security practices, (4) Analyzing system architecture for security threats across trust boundaries, (5) Producing threat reports with STRIDE categories and mitigation recommendations, (6) Maintaining threat models as code for version control and automation.
sag
by EthanAlgoX
ElevenLabs text-to-speech with mac-style say UX.
skill-from-masters
by GBSOSS
通过真实案例创建高质量skill。先找黄金案例和失败案例，归纳什么有效什么无效，再用理论解释为什么。skill是干活的，要从实践中学习，不是从书本中学习。触发词："帮我创建一个skill"、"我想做一个skill来..."
rfdiffusion
by adaptyvbio
Generate protein backbones using RFdiffusion, a diffusion-based generative model for de novo protein structure generation. Use this skill when: (1) Designing binder scaffolds for a target protein, (2) Generating novel protein backbones from scratch, (3) Scaffolding functional motifs into new proteins, (4) Specifying hotspot residues for interface design, (5) Creating symmetric oligomers. For sequence design after backbone generation, use proteinmpnn. For structure validation, use alphafold or chai. For QC thresholds, use protein-qc.
chai
by adaptyvbio
Structure prediction using Chai-1, a foundation model for molecular structure. Use this skill when: (1) Predicting protein-protein complex structures, (2) Validating designed binders, (3) Predicting protein-ligand complexes, (4) Using the Chai API for high-throughput prediction, (5) Need an alternative to AlphaFold2. For QC thresholds, use protein-qc. For AlphaFold2 prediction, use alphafold. For ESM-based analysis, use esm.
ml-experiment-tracker
by organvm-iv-taxis
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model development.
constraint-programming
by kishorkukreja
When the user wants to solve complex scheduling, allocation, or combinatorial problems using constraint programming (CP). Also use when the user mentions "constraint programming," "CP-SAT," "constraint satisfaction," "all-different constraint," "global constraints," "propagation," "search strategies," or when the problem has complex logical constraints, scheduling with disjunctive resources, or allocation problems. For MIP, see optimization-modeling. For metaheuristics, see metaheuristic-optimization.
data-ml
by baz-scm
Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.
Quality Scoring
by akaszubski
Multi-dimensional data assessment for training quality evaluation
realign-meta-framework
by akaszubski
Production-ready Claude Code 2.0 setup for autonomous development
model-router
by nguyenthienthanh
"Automatically select optimal Claude model (Haiku/Sonnet/Opus) based on task complexity to reduce costs while maintaining quality."
spatial-swiftui-developer
by tomkrikorian
Design and implement visionOS SwiftUI scenes that integrate RealityKit content. Use when building spatial UI with RealityView, Model3D, attachments, volumetric windows, ImmersiveSpace, or spatial gestures, or when choosing SwiftUI vs RealityKit APIs for 3D presentation.
assembly-line-balancing
by kishorkukreja
When the user wants to balance assembly lines, assign tasks to workstations, calculate takt time, or optimize line efficiency. Also use when the user mentions "line balancing," "workstation assignment," "takt time," "cycle time balancing," "precedence constraints," "task allocation," "assembly line optimization," "mixed-model balancing," or "U-shaped line." For process optimization, see process-optimization. For production scheduling, see production-scheduling.
Financial Analysis
by zircote
This skill should be used when the user asks to "analyze financials", "revenue model", "unit economics", "pricing analysis", "cost structure", "profitability analysis", "financial projections", "business model economics", or needs guidance on financial metrics, revenue analysis, or economic viability assessment.
transformers
by ynulihao
Work with state-of-the-art machine learning models for NLP, computer vision, audio, and multimodal tasks using HuggingFace Transformers. This skill should be used when fine-tuning pre-trained models, performing inference with pipelines, generating text, training sequence models, or working with BERT, GPT, T5, ViT, and other transformer architectures. Covers model loading, tokenization, training with Trainer API, text generation strategies, and task-specific patterns for classification, NER, QA, summarization, translation, and image tasks. (plugin:scientific-packages@claude-scientific-skills)
pipeline
by TestAny-io
Testany 流水线 CRUD - 创建/查询/更新/删除 pipeline，编排用例执行顺序和变量传递（执行请用 /tests）
handoff
by blacktop
Generate optimized handoff prompts for delegating tasks to LLM agents. Use when needing to hand off work to another agent (GPT-5.2/Codex, Claude Opus 4.5/Sonnet 4, or Gemini 3 Pro/Flash), whether for a sub-task/parallel task within the same project or a fresh start handoff to a new agent context. Triggers on requests like "create a handoff prompt", "delegate this task to another agent", "hand this off", or "prepare context for another agent".