ML Ops
Machine learning operations
laravel-providers
by leeovery
Service providers, bootstrapping, and application configuration. Use when working with service providers, app configuration, bootstrapping, or when user mentions service providers, AppServiceProvider, bootstrap, booters, configuration, helpers.
starwave:smolspec
by ArjenSchwarz
Small Spec (Smolspec) - Lightweight Specification for Minor Changes
starwave:requirements
by ArjenSchwarz
Requirement Gathering
next-task
by ArjenSchwarz
Next task
starwave:tasks
by ArjenSchwarz
Create Task List
starwave:design
by ArjenSchwarz
Create Feature Design Document
slurm-gpu-training
by dongzhuoyao
Use when running ML training on HPC clusters with Slurm, including job submission, environment setup, monitoring, and failure triage. Applies to any GPU training workload on Slurm-managed clusters. Triggers: "sbatch", "srun", "Slurm", "SBATCH", "job submission", "HPC", "cluster", "walltime", "squeue"
writing-style
by stevenmays
Write in Steven's voice—pragmatic, curious, pedagogical. Opens with measurable payoffs, builds mental models from first principles, uses worked examples, and handles uncertainty honestly. Use for essays, blog posts, and technical articles.
AI Core Skill
by markus41
Qdrant Documentation
Perception Pipeline Skill
by markus41
CompreFace
tinybird-typescript-sdk-guidelines
by tinybirdco
Tinybird TypeScript SDK for defining datasources, pipes, and queries with full type inference. Use when working with @tinybirdco/sdk, TypeScript Tinybird projects, or type-safe data ingestion and queries.
pipeline
by ElliotJLT
Orchestration pattern for sequential, dependent tasks. When work must flow through stages where each stage depends on the previous (design → implement → test → review), structure as a pipeline with explicit handoffs. Each stage completes before the next begins.
discover-ml
by rand
Automatically discover machine learning and AI skills when working with machine learning, PyTorch, training, inference, RAG, embeddings, fine-tuning, LLM, DSPy, HuggingFace, or diffusion models. Activates for ML development tasks.
Ai Game Art Generation
by omer-metin
write-test
by aviflombaum
Writes comprehensive RSpec tests for Rails applications. Use when writing model specs, request specs, system specs, job specs, mailer specs, channel specs, or storage specs. Triggers on "write tests for", "add specs to", "test the User model", "create request specs", "write RSpec", "add test coverage".
demand-forecasting
by kishorkukreja
When the user wants to forecast demand, build forecasting models, or improve forecast accuracy. Also use when the user mentions "demand planning," "sales forecasting," "time series," "forecast accuracy," "demand sensing," "statistical forecasting," or "predictive analytics." For capacity planning based on forecasts, see capacity-planning. For S&OP integration, see sales-operations-planning.
hydra-experiment-config
by dongzhuoyao
Use when structuring ML experiment configs with Hydra, adding new config groups, or debugging config resolution. Applies to any project using Hydra for hyperparameter management. Triggers: "Hydra", "config", "yaml config", "OmegaConf", "config groups", "defaults list", "config override"
audit-context-building
by runkids
Enables ultra-granular, line-by-line code analysis to build deep architectural context before vulnerability or bug finding.
langchain-agents
by jackjin1997
Use this skill for ANY coding question involving LangChain products (LangChain, LangGraph, LangSmith SDK). Covers agent development patterns, primitives, context management, multi-agent systems, and when to use create_agent vs create_deep_agent vs raw LangGraph. Consult this BEFORE writing any LangChain-related code.
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.
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.
Ai Image Generation
by omer-metin
Businessstrategy
by robdtaylor
MBA-trained business strategist with full commercial awareness. USE WHEN user says 'business plan', 'financial analysis', 'P&L', 'cash flow', 'valuation', 'market analysis', 'competitive analysis', 'SWOT', 'business model', 'unit economics', 'fundraising', 'pitch deck', or needs strategic business guidance.