ML Ops
Machine learning operations
creating-financial-models
by ynulihao
This skill provides an advanced financial modeling suite with DCF analysis, sensitivity testing, Monte Carlo simulations, and scenario planning for investment decisions
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)
clickhouse-pydantic-config
by terrylica
Generate DBeaver config from Pydantic ClickHouse models. TRIGGERS - DBeaver config, ClickHouse connection, database client config.
deepagents-implementation
by existential-birds
Implements agents using Deep Agents. Use when building agents with create_deep_agent, configuring backends, defining subagents, adding middleware, or setting up human-in-the-loop workflows.
pydantic-ai-model-integration
by existential-birds
Configure LLM providers, use fallback models, handle streaming, and manage model settings in PydanticAI. Use when selecting models, implementing resilience, or optimizing API calls.
pydantic-ai-testing
by existential-birds
Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.
pydantic-ai-common-pitfalls
by existential-birds
Avoid common mistakes and debug issues in PydanticAI agents. Use when encountering errors, unexpected behavior, or when reviewing agent implementations.
bubbletea-code-review
by existential-birds
Reviews BubbleTea TUI code for proper Elm architecture, model/update/view patterns, and Lipgloss styling. Use when reviewing terminal UI code using charmbracelet/bubbletea.
letta-configuration
by letta-ai
Configure LLM models and providers for Letta agents and servers. Use when setting model handles, adjusting temperature/tokens, configuring provider-specific settings, setting up BYOK providers, or configuring self-hosted deployments with environment variables.
woodpecker-cli
by fred-drake
Reference for the Woodpecker CI command-line tool. Use when working with Woodpecker CI pipelines, managing repositories, secrets, registries, organizations, or users via the CLI. Covers pipeline operations (start, stop, approve, logs), repository management, secret/registry configuration, and local pipeline execution.
jupyter-to-marimo
by marimo-team
Convert a Jupyter notebook (.ipynb) to a marimo notebook (.py).
anywidget-generator
by marimo-team
Generate anywidget components for marimo notebooks.
security-audit
by cosmix
Performs comprehensive security audits identifying vulnerabilities, misconfigurations, and security best practice violations across applications, APIs, infrastructure, and data pipelines. Covers OWASP Top 10, compliance requirements (SOC2, PCI-DSS, HIPAA, GDPR), penetration testing, vulnerability assessment, risk assessment, security reviews, and hardening. Trigger keywords: security audit, vulnerability assessment, penetration test, pentest, OWASP, CVE, security review, risk assessment, compliance, SOC2, PCI-DSS, HIPAA, GDPR, security checklist, threat modeling, attack surface, security posture, vulnerability scan, security hardening, security baseline, security controls, security gap analysis, infrastructure security, API security, cloud security, container security, Kubernetes security, network security, application security, data security, ML model security.
python
by cosmix
Python language expertise for writing idiomatic, production-quality Python code. Covers web frameworks (FastAPI, Django, Flask), data processing (pandas, numpy, dask), ML patterns (sklearn, pytorch), async programming, type hints, testing with pytest, packaging (pip, uv, poetry), linting (ruff, mypy, black), and PEP 8 standards. Use for any Python development including data engineering and machine learning workflows. Triggers: python, py, pip, uv, poetry, virtualenv, pytest, pydantic, fastapi, django, flask, pandas, numpy, dataclass, type hints, asyncio, mypy, ruff, black, sklearn, pytorch, tensorflow, jupyter, pipenv, conda.
videocut-install
by zrt-ai-lab
环境准备。安装依赖、下载模型、验证环境。触发词：安装、环境准备、初始化
antigravity-balance
by sundial-org
Check Google Antigravity AI model quota/token balance. Use when a user asks about their Antigravity usage, remaining tokens, model limits, quota status, or rate limits. Works by detecting the local Antigravity language server process and querying its API.
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。
summarize
by smallnest
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
openscad
by zenobi-us
"Create and render OpenSCAD 3D models. Generate preview images from multiple angles, extract customizable parameters, validate syntax, and export STL files for 3D printing platforms like MakerWorld."
livekit-agents
by livekit
'Build voice AI agents with LiveKit Cloud and the Agents SDK. Use when the user asks to "build a voice agent", "create a LiveKit agent", "add voice AI", "implement handoffs", "structure agent workflows", or is working with LiveKit Agents SDK. Provides opinionated guidance for the recommended path: LiveKit Cloud + LiveKit Inference. REQUIRES writing tests for all implementations.'
vscode-custom-agents
by aktsmm
"VS Code カスタムエージェントの配置ルール・アクセス制御・マルチエージェント設計のベストプラクティス。Triggers on 'custom agent', 'agent not found', 'subagent', 'user-invokable', 'エージェント設計', 'ピッカー'."
langchain-use
by NanmiCoder
LangChain 1.0 使用指南。提供 Agent、Tool、Memory、Middleware 等核心概念的快速参考。当用户需要创建 AI Agent、集成 LangChain、或解决 LangChain 相关问题时激活。
realign-meta-framework
by akaszubski
Production-ready Claude Code 2.0 setup for autonomous development
data-ml
by baz-scm
Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.