ML Ops
Machine learning operations
gamification-triad
by Coowoolf
Use when designing retention mechanisms, habit loops, or auditing why users drop off despite engaging with core features, to structure gamification beyond superficial badges
notebook-ml-architect
by BjornMelin
Expert guidance for auditing, refactoring, and designing machine learning Jupyter notebooks with production-quality patterns. Use when: (1) Analyzing notebook structure and identifying anti-patterns, (2) Detecting data leakage and reproducibility issues, (3) Refactoring messy notebooks into modular pipelines, (4) Generating templates for ML workflows (EDA, classification, experiments), (5) Adding reproducibility instrumentation (seeding, logging, env capture), (6) Converting notebooks to Python scripts, (7) Generating experiment summary reports. Triggers on: ML notebook, Jupyter audit, notebook refactor, data leakage, experiment template, ipynb best practices, notebook to script, reproducibility.
The 'Explorer vs. Lecturer' Coaching Model
by Coowoolf
105 Product Management Skills extracted from Lenny's Podcast - For use with Claude Code / Cursor / Windsurf
AI Safety Auditor
by jmsktm
Audit AI systems for safety, bias, and responsible deployment
pinecone-mcp
by pinecone-io
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
speckit-tasks-zh
by forztf
基于speckit工作流的任务生成技能，用于根据可用设计文档生成可操作的、依赖有序的tasks.md。当需要基于spec.md、plan.md、data-model.md、contracts/等设计文档为功能开发生成详细任务列表时使用此技能。触发词包括"speckit tasks"、"生成任务"、"任务规划"、"功能任务分解"、"创建tasks.md"等。
Computer Vision Helper
by jmsktm
Assist with image analysis, object detection, and visual AI tasks
pydantic
by jiatastic
Pydantic models and validation. Use when: (1) Defining schemas, (2) Validating input/output, (3) Generating JSON schema.
Business Plan Writer
by jmsktm
Create comprehensive business plans, financial projections, and strategic documents for funding or planning
arboreto
by hxk622
Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.
geniml
by hxk622
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
wardyn-ci
by cjohnstoniv
Generate a Wardyn sandbox policy + CLI invocation (or full pipeline job) for running a governed sandboxed task in CI — GitHub Actions, Azure DevOps, or any headless/unattended launch. Use when the user wants to run Wardyn in CI/a pipeline, generate a wardyn policy or run config, launch a sandbox non-interactively, or asks about wardyn run --wait / --image / task_mode / ci-run.sh. Triggers on "wardyn in CI", "CI sandbox policy", "pipeline sandbox", "headless wardyn run", "unattended governed run", "generate a wardyn policy".
design-system-foundations
by KentoShimizu
"Define scalable design-system foundations with clear ownership and adoption boundaries. Use when multiple teams need shared component standards, foundational patterns, and ownership rules to deliver consistent UI across products; do not use for backend data-model or deployment pipeline decisions."
two-sigma-ml-at-scale
by copyleftdev
Build trading systems in the style of Two Sigma, the systematic investment manager pioneering machine learning at scale. Emphasizes alternative data, distributed computing, feature engineering, and rigorous ML infrastructure. Use when building ML pipelines for alpha research, feature stores, or large-scale backtesting systems.
architecture-ddd
by KentoShimizu
"Domain-driven design workflow for bounded context partitioning, aggregate design, and context mapping in complex domains. Use when domain complexity or organizational scaling requires explicit model boundaries; do not use for small CRUD domains without competing language models."
db-conceptual-modeling
by KentoShimizu
"Conceptual data modeling workflow for domain entities, relationships, and lifecycle boundaries. Use when teams must align on domain meaning before logical/physical schema decisions; do not use for index-only or migration-only tasks."
skill-composer
by whynowlab
Compose multiple skills into a unified workflow pipeline. Combine research, creativity, review, and other skills into custom multi-step processes. Use when a task requires chaining skills together, creating custom workflows, or designing compound skill sequences. Triggers on "워크플로우", "workflow", "파이프라인", "pipeline", "스킬 조합", "combine skills", "복합 프로세스".
machine-learning
by pluginagentmarketplace
Supervised & unsupervised learning, scikit-learn, XGBoost, model evaluation, feature engineering for production ML
project-development
by Svenja-dev
Design and build LLM-powered projects from ideation through deployment. Use when starting new agent projects, choosing between LLM and traditional approaches, or structuring batch processing pipelines.
summarize
by ZhihaoAIRobotic
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
currying-inference
by marius-townhouse
Use when generic types aren't inferred. Use when builder patterns need better types. Use when creating new inference sites.
accurate-environment-model
by marius-townhouse
Use when defining global types. Use when augmenting window. Use when typing environment variables. Use when working with build-time constants. Use when configuring type definitions.
chunking-strategies
by latestaiagents
Optimize document chunking for RAG performance and retrieval quality. Use this skill when splitting documents, choosing chunk sizes, implementing semantic chunking, or improving RAG retrieval accuracy. Activate when: chunking, split documents, chunk size, text splitting, document processing, RAG performance, semantic chunking, overlap.
avoid-unnecessary-type-params
by marius-townhouse
Use when writing generic functions or types. Use when reviewing type signatures. Use when a type parameter only appears once. Use when tempted to add generics for "flexibility".