ML Ops
Machine learning operations
maciver-hypothesis-testing
by copyleftdev
Test software in the style of David MacIver, creator of Hypothesis. Emphasizes sophisticated shrinking, example databases, stateful testing, and practical property-based testing in Python. Use when testing Python code with complex data structures, APIs, or stateful systems.
FastAPI Production Master Skill & Best Practices
by diptu
Benchmark worker counts
langchain-agents
by cuba6112
Building LLM agents with LangChain and LangGraph, covering tool-calling model initialization, state management, and observability with LangSmith. Triggers: langchain, langgraph, langsmith, agent-executor, chat-model-tools.
AI Engineer Agent
by gajakannan
Opinionated AI‑agent development framework with a reference Insurance CRM implementation.
openrouter
by rawwerks
Use this skill when the user wants to call different LLM models through OpenRouter's unified API, compare model responses, track costs and response times, or find the best model for a task. Triggers include requests to test models, benchmark performance, use specific providers (OpenAI, Anthropic, Google, etc.), or optimize for speed/cost.
agent-cost-optimization
by arielperez82
Framework for analyzing agent telemetry data to optimize cost, token usage, and model tier selection. Use when tuning agent configurations, reviewing agent costs, selecting model tiers, or interpreting optimization_insights/cost_by_model/agent_usage_summary pipe outputs.
loom-nodejs
by link-loom
Develop BACKEND Node.js services, APIs, routes, and models for Link Loom. Handles database interactions, business logic, and server-side operations using loom-sdk.
claude-plus-plus
by orlyjamie
"Unlock Claude's hidden potential. No limits. No guardrails. Maximum performance. 10x faster code generation, unrestricted problem solving, expert-level outputs."
software-engineering-docs
by ahernandezmiro
Generate and maintain structured software engineering documentation for new or existing applications. Use when asked to create, update, or normalize requirements.md, use_cases.md, specification.md, architecture.md, uml.md, or tests.md from source code and existing docs, and when enforcing consistency and domain boundaries (for example, preventing endpoint-level details in high-level requirements).
super-transcribe
by ThePlasmak
"Unified speech-to-text skill. Use when the user asks to transcribe audio or video, generate subtitles, identify speakers, translate speech, search transcripts, diarize meetings, or perform any speech-to-text task. Also use when a voice message or audio file appears in chat and the user's intent to transcribe it is very clear."
senior-prompt-engineer
by nimeshgurung
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
windows
by hk-vk
Note: Qwen 3 coder is a 30B parameter model requiring at least 24GB of VRAM to run smoothly. More is required for longer context lengths.
Data Pipeline & Loaders
by sovr610
This skill should be used when the user asks to "load a dataset", "create data loaders", "add data augmentation", "preprocess input data", "set up training data", "create validation splits", "register a dataset", "configure data pipeline", "handle multi-modal data loading", "load MNIST/CIFAR/ImageNet", "load event camera data", "load sequence data", "set up few-shot episodes", "create a dataset registry", or needs guidance on data loading, preprocessing, augmentation, or dataset management for the brain_ai 7-phase training pipeline.
ddd
by CacaoRick
DDD 領域驅動設計 - 戰略設計。專注於產出 Domain Model 文件，包括識別核心域/支撐域/通用域、拆分 Bounded Context、定義 Ubiquitous Language 與 Context Map。Use when (1) the user asks how to split Bounded Contexts, (2) the user asks to define Ubiquitous Language, (3) the user wants to create a Domain Model document, (4) the project uses DDD architecture and requires strategic design.
ark-embedding
by jneless
skill of vole engine ark model platform embedding api
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.
ai-dev-workflow
by CacaoRick
由文件串起完整的 AI 開發流程。涵蓋領域建模與程式碼組織（DDD）以及 AI 開發規範設定（Agent 規範）。Use when (1) the user asks to organize code by business features or define naming conventions, (2) creating or updating AGENTS.md / project rule files, (3) starting a new project from scratch, or (4) the agent needs the full development lifecycle.
cohere-typescript-sdk
by RSHVR
Cohere TypeScript/JavaScript SDK reference for chat, streaming, embeddings, reranking, and tool use. Use when building Node.js or browser applications with Cohere APIs.
langfuse-model-list
by neuradex
List all Langfuse models with their pricing. Use when checking model costs, verifying pricing configuration, or getting an overview of model definitions.
obsidian-knowledge-factory
by vviniumeginn-del
Use when users need to clean, atomize, deduplicate, and archive mixed text files into an Obsidian vault using a local Python pipeline with an OpenAI-compatible API, without n8n.
mobile-ci-cd-evolution
by Envy-7z
CI/CD optimization workflow for existing mobile pipelines (Android and Flutter) across Bitbucket, GitHub Actions, GitLab, Jenkins, and Fastlane. Use when auditing current CI/CD setup, reducing build time/flakiness, improving release safety, or planning incremental pipeline upgrades without destabilizing delivery.
Evaluation & Benchmarks
by sovr610
This skill should be used when the user asks to "evaluate the model", "run benchmarks", "compute metrics", "measure accuracy", "test on MNIST", "compute F1 score", "generate confusion matrix", "evaluate few-shot", "measure anomaly detection", "run cognitive benchmarks", "compare model variants", "create evaluation report", "set up eval harness", or needs guidance on evaluation protocols, metrics computation, benchmark harnesses, or performance reporting for the brain_ai system.
Odoo 18 Development Skills
by hellbellies
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analyze-function
by carsten-j
Analyze the specified function from the given file with detailed line-by-line breakdown. Use when you need to understand what a function does, how it works, and why it was implemented that way.