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Claude Skills by majiayu000
github.com/majiayu00015,497 skills907 installs34,333 views
- Multi Ai ResearchParallel multi-AI cross-validation research workflow (大版本). Dispatch N internal sub-agents + grok + gemini in parallel, automatically cross-validate findings, tier by confidence (strong consensus / partial / conflict / insufficient), generate tiered action items with arbitration. Use when user says "多 AI 调研", "交叉验证", "独立共识", "三脑调研", "multi-ai research", "parallel research", "cross-validate", or needs deep research that benefits from internal data + external 2026 consensus. NOT for quick factu...Votes: 0GitHub stars: 666
- Openai Tts Python Moltbot SkillsText-to-speech conversion using OpenAI's TTS API for generating high-quality, natural-sounding audio. Supports 6 voices (alloy, echo, fable, onyx, nova, shimmer), speed control (0.25x-4.0x), HD quality model, multiple output formats (mp3, opus, aac, flac), and automatic text chunking for long content (4096 char limit per request). Use when: (1) User requests audio/voice output with triggers like "read this to me", "convert to audio", "generate speech", "text to speech", "tts", "narrate", "spe...Votes: 0GitHub stars: 666
- Phoenix CliDebug LLM applications using the Phoenix CLI. Fetch traces, analyze errors, review experiments, and inspect datasets. Use when debugging AI/LLM applications, analyzing trace data, working with Phoenix observability, or investigating LLM performance issues.Votes: 0GitHub stars: 666
- Prompt Caching Mudassarabrar Sage Gemini Live AgeCaching strategies for LLM prompts including Anthropic prompt caching, response caching, and CAG (Cache Augmented Generation) Use when: prompt caching, cache prompt, response cache, cag, cache augm...Votes: 0GitHub stars: 666
- Prompt CachingCaching strategies for LLM prompts including Anthropic promptVotes: 0GitHub stars: 666
- Prompt Devattom ClaudeLoad and execute a prompt from the project's .claude/prompts/ directoryVotes: 0GitHub stars: 666
- Prompt Engineer Alexander Danilenko Ai SkillsUse when designing prompts for LLMs, optimizing model performance, building evaluation frameworks, or implementing advanced prompting techniques like chain-of-thought, few-shot learning, or structured outputs.Votes: 0GitHub stars: 666
- Prompt Engineer Jeffallan Claude SkillsWrites, refactors, and evaluates prompts for LLMs — generating optimized prompt templates, structured output schemas, evaluation rubrics, and test suites. Use when designing prompts for new LLM applications, refactoring existing prompts for better accuracy or token efficiency, implementing chain-of-thought or few-shot learning, creating system prompts with personas and guardrails, building JSON/function-calling schemas, or developing prompt evaluation frameworks to measure and improve model p...Votes: 0GitHub stars: 666
- Prompt Engineering Patterns Sickn33 Antigravity AwesomeMaster advanced prompt engineering techniques to maximize LLM performance, reliability, and controllability.Votes: 0GitHub stars: 666
- Prompt Engineering Sickn33 Antigravity AwesomeExpert guide on prompt engineering patterns, best practices, and optimization techniques. Use when user wants to improve prompts, learn prompting strategies, or debug agent behavior.Votes: 0GitHub stars: 666
- Prompt Library Sickn33 Antigravity AwesomeA comprehensive collection of battle-tested prompts inspired by [awesome-chatgpt-prompts](https://github.com/f/awesome-chatgpt-prompts) and community best practices.Votes: 0GitHub stars: 666
- Prompt Templates Datadrivenconstructi Ddc Skills For Ai AgReusable prompt templates for construction AI tasks: cost estimation, schedule analysis, document processing, BIM queries. Structured prompts for consistent results.Votes: 0GitHub stars: 666
- Prompt TestingA/B testing and performance metrics for promptsVotes: 0GitHub stars: 666
- Prompt WritingCreates effective prompts for AI coding agents and subagent delegation. Use PROACTIVELY when writing prompts for Task tool delegation, creating agent instructions, or designing multi-step workflows. MUST BE USED when delegating complex tasks to subagents or writing system prompts.Votes: 0GitHub stars: 666
- Pydantic Ai Agent Creation Existential Birds Beagle 2Create PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.Votes: 0GitHub stars: 666
- Pydantic Ai Agent CreationCreate PydanticAI agents with type-safe dependencies, structured outputs, and proper configuration. Use when building AI agents, creating chat systems, or integrating LLMs with Pydantic validation.Votes: 0GitHub stars: 666
- Pydantic Ai Common PitfallsAvoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.Votes: 0GitHub stars: 666
- Pydantic Ai Dependency InjectionImplement dependency injection in PydanticAI agents using RunContext and deps_type. Use when agents need database connections, API clients, user context, or any external resources.Votes: 0GitHub stars: 666
- Pydantic Ai Tool SystemRegister and implement PydanticAI tools with proper context handling, type annotations, and docstrings. Use when adding tool capabilities to agents, implementing function calling, or creating agent actions.Votes: 0GitHub stars: 666
- Nlp AdvancedUse when extracting structured information from text - named entity recognition, relation extraction, coreference resolution, knowledge graph construction, and information extraction pipelinesUse when ", " mentioned.Votes: 0GitHub stars: 666
- Omics ClassifiersBuilds classification models for omics data using RandomForest, XGBoost, and logistic regression with sklearn-compatible APIs. Includes proper preprocessing and evaluation metrics for biomarker classifiers. Use when building diagnostic or prognostic classifiers from expression or variant data.Votes: 0GitHub stars: 666
- On Device AiPatterns for running AI models locally in browsers using WebGPU, Transformers.js, WebLLM, and ONNX Runtime. Zero API costs, full privacy. Use when "on-device AI, browser AI, WebLLM, Transformers.js, WebGPU, edge inference, offline AI, client-side ML, ONNX web, " mentioned.Votes: 0GitHub stars: 666
- Openai Whisper Aresbit Openmatecode 2Local speech-to-text with the Whisper CLI (no API key).Votes: 0GitHub stars: 666
- Pathway MappingMap metabolites to biological pathways using KEGG, Reactome, and MetaboAnalyst. Perform pathway enrichment and topology analysis. Use when interpreting metabolomics results in the context of biochemical pathways.Votes: 0GitHub stars: 666
- Photo Content Recognition Curation Expert Curiositech Some ClaudExpert in photo content recognition, intelligent curation, and quality filtering. Specializes in face/animal/place recognition, perceptual hashing for de-duplication, screenshot/meme detection,Votes: 0GitHub stars: 666
- Photo Content Recognition Curation Expert Erichowens Some ClaudeExpert in photo content recognition, intelligent curation, and quality filtering. Specializes in face/animal/place recognition, perceptual hashing for de-duplication, screenshot/meme detection, burst photo selection, and quick indexing strategies. Activate on 'face recognition', 'face clustering', 'perceptual hash', 'near-duplicate', 'burst photo', 'screenshot detection', 'photo curation', 'photo indexing', 'NSFW detection', 'pet recognition', 'DINOHash', 'HDBSCAN faces'. NOT for GPS-based lo...Votes: 0GitHub stars: 666
- Prediction ExplanationExplains machine learning predictions on omics data using SHAP values and LIME for feature attribution. Identifies which genes or features drive classifier decisions. Use when interpreting biomarker classifiers or understanding model predictions.Votes: 0GitHub stars: 666
- Progress Monitoring Cv Datadrivenconstructi Ddc Skills For Ai AgMonitor construction progress using computer vision. Analyze site photos and drone imagery to track work completion, detect safety issues, and compare against BIM models.Votes: 0GitHub stars: 666
- Risk Assessment Ml Datadrivenconstructi Ddc Skills For Ai AgApply machine learning for construction project risk assessment. Predict schedule delays, cost overruns, and safety incidents using historical data and project characteristics.Votes: 0GitHub stars: 666
- Scientific Pkg GtarsHigh-performance toolkit for genomic interval analysis in Rust with Python bindings. Use when working with genomic regions, BED files, coverage tracks, overlap detection, tokenization for ML models, or fragment analysis in computational genomics and machine learning applications.Votes: 0GitHub stars: 666
- Scientific Pkg MedchemMedicinal chemistry filters. Apply drug-likeness rules (Lipinski, Veber), PAINS filters, structural alerts, complexity metrics, for compound prioritization and library filtering.Votes: 0GitHub stars: 666
- Scientific Pkg MolfeatMolecular featurization for ML (100+ featurizers). ECFP, MACCS, descriptors, pretrained models (ChemBERTa), convert SMILES to features, for QSAR and molecular ML.Votes: 0GitHub stars: 666
- Scientific Pkg PufferlibThis skill should be used when working with reinforcement learning tasks including high-performance RL training, custom environment development, vectorized parallel simulation, multi-agent systems, or integration with existing RL environments (Gymnasium, PettingZoo, Atari, Procgen, etc.). Use this skill for implementing PPO training, creating PufferEnv environments, optimizing RL performance, or developing policies with CNNs/LSTMs.Votes: 0GitHub stars: 666
- Scientific Pkg PytdcTherapeutics Data Commons. AI-ready drug discovery datasets (ADME, toxicity, DTI), benchmarks, scaffold splits, molecular oracles, for therapeutic ML and pharmacological prediction.Votes: 0GitHub stars: 666
- Scientific Pkg Scikit LearnMachine learning in Python with scikit-learn. Use when working with supervised learning (classification, regression), unsupervised learning (clustering, dimensionality reduction), model evaluation, hyperparameter tuning, preprocessing, or building ML pipelines. Provides comprehensive reference documentation for algorithms, preprocessing techniques, pipelines, and best practices.Votes: 0GitHub stars: 666
- Scientific Pkg Scvi ToolsThis skill should be used when working with single-cell omics data analysis using scvi-tools, including scRNA-seq, scATAC-seq, CITE-seq, spatial transcriptomics, and other single-cell modalities. Use this skill for probabilistic modeling, batch correction, dimensionality reduction, differential expression, cell type annotation, multimodal integration, and spatial analysis tasks.Votes: 0GitHub stars: 666
- Scientific Pkg Torch GeometricGraph Neural Networks (PyG). Node/graph classification, link prediction, GCN, GAT, GraphSAGE, heterogeneous graphs, molecular property prediction, for geometric deep learning.Votes: 0GitHub stars: 666
- Scientific Pkg TorchdrugGraph-based drug discovery toolkit. Molecular property prediction (ADMET), protein modeling, knowledge graph reasoning, molecular generation, retrosynthesis, GNNs (GIN, GAT, SchNet), 40+ datasets, for PyTorch-based ML on molecules, proteins, and biomedical graphs.Votes: 0GitHub stars: 666
- Scientific Pkg Umap LearnUMAP dimensionality reduction. Fast nonlinear manifold learning for 2D/3D visualization, clustering preprocessing (HDBSCAN), supervised/parametric UMAP, for high-dimensional data.Votes: 0GitHub stars: 666
- Senior Computer Vision Congdon1207 Agents MdWorld-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.Votes: 0GitHub stars: 666
- Senior Data Scientist Congdon1207 Agents MdWorld-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.Votes: 0GitHub stars: 666
- EpistemologyTheory of knowledge and justification across the Western philosophical tradition. Covers the tripartite analysis (justified true belief), Gettier problems, foundationalism vs. coherentism vs. reliabilism, skepticism (Cartesian and external world), rationalism vs. empiricism, Kant's synthesis, social and feminist epistemology, pragmatist epistemology, naturalized epistemology, and philosophy of science (Popper, Kuhn, Lakatos, Feyerabend). Use when analyzing claims about knowledge, evidence, ce...Votes: 0GitHub stars: 666
- Error Detective Christophacham Agent Skills LibrarySearch logs and codebases for error patterns, stack traces, and anomalies. Correlates errors across systems and identifies root causes.Votes: 0GitHub stars: 666
- Error Detective Skill 404kidwiz Claude Supercode Ski 2Use when user needs complex error pattern analysis, distributed system debugging, error correlation, root cause discovery, or predictive error prevention across microservices.Votes: 0GitHub stars: 666
- Error Detector Skill 404kidwiz Claude Supercode Ski 2Advanced error analysis and pattern detection specialist for identifying, analyzing, and preventing software errorsVotes: 0GitHub stars: 666
- Evidence AssessmentEvaluating the quality, provenance, and relevance of evidence that supports or undermines a claim. Covers source credibility, sampling quality, study design, levels of evidence (anecdote to meta-analysis), base rate integration, distinguishing primary from secondary sources, and calibrating belief to evidence strength. Use when the question is not whether an argument is valid but whether its premises are actually supported by the available data.Votes: 0GitHub stars: 666
- Exa Search Tdimino Claude Code MinoanSearch the web with Exa AI — neural search, content extraction, similar page discovery, quick research with citations, and async pro research with structured output. Covers all Exa endpoints (/search, /contents, /findSimilar, /answer, /research/v0/tasks). Triggers on web search, find pages, similar pages, research with citations, Exa, neural search.Votes: 0GitHub stars: 666
- Experimental Design DsA/B testing, randomization, sample size calculation, confounding control, and causal inference for data science. Covers the full experimental lifecycle from hypothesis formulation through power analysis, randomization strategies, blocking, factorial designs, sequential testing, and the potential outcomes framework for causal claims. Use when designing experiments, planning A/B tests, calculating sample sizes, or reasoning about causation from data.Votes: 0GitHub stars: 666
- Experimental Design SciExperimental design principles for scientific inquiry. Covers variable identification and control, control groups (positive and negative), randomization, blinding, sample size and power, replication strategies, factorial designs, quasi-experimental approaches, and common design pitfalls. Use when designing, reviewing, or teaching about controlled experiments in any scientific discipline.Votes: 0GitHub stars: 666
- Experimental MethodsExperimental methods for physics including measurement, uncertainty analysis, and experimental design. Covers the scientific method applied to physics, the SI unit system, significant figures, uncertainty and error analysis (systematic vs. random, propagation of uncertainty), dimensional analysis (Buckingham Pi theorem), experimental design (controls, variables, reproducibility), data analysis (linear regression, chi-squared, curve fitting), lab safety, landmark physics experiments (Millikan,...Votes: 0GitHub stars: 666