MLOps
模型部署、评估与运维
content-modeling-best-practices
display-design-studio
Structured content modeling principles with Sanity-specific guidance. Use when designing or reviewing content schemas, document types, field structures, or content architecture — including decisions around references vs embedding, content reuse, taxonomy, page builders, multi-channel delivery, or refactoring existing schemas. Trigger when the user mentions schema design, content model, document types, content structure, headless CMS architecture, or asks how to model any content type.
everclaw
profbernardoj
Open-source first AI inference — GLM-5 as default, Claude as fallback only. Own your inference forever via the Morpheus decentralized network. Stake MOR tokens, access GLM-5, GLM-4.7 Flash, Kimi K2.5, and 30+ models with persistent inference by recycling staked MOR. Open-source first model router routes all tiers to Morpheus by default — Claude only kicks in as an escape hatch when needed. Includes Morpheus API Gateway bootstrap for zero-config startup, OpenAI-compatible proxy with auto-session management, automatic retry with fresh sessions, OpenAI-compatible error classification to prevent cooldown cascades, multi-key auth rotation v2 with proactive DIEM balance monitoring and reactive 402 watchdog, Gateway Guardian v5 with direct curl inference probes (eliminates Signal spam), proactive Venice DIEM credit monitoring, circuit breaker for stuck sub-agents, nuclear self-healing restart, always-on proxy-router with launchd auto-restart, smart session archiver, three-shift cyclic execution engine (v2 with 15-minute execution loops), 24/7 always-on power configuration for macOS, bundled security skills, zero-dependency wallet management via macOS Keychain, x402 payment client for agent-to-agent USDC payments, and ERC-8004 agent registry reader for discovering trustless agents on Base.
image-upscale
agntswrm
Upscales an image using AI super-resolution to increase resolution with detail generation. Use when you need to enlarge images, improve low-resolution photos, or prepare images for large-format display.
django-model-helper
Dexploarer
Generates Django models with proper field types, relationships, and migrations. Use when creating Django models or database schemas.
data-cleaning-pipeline-generator
Dexploarer
Generates data cleaning pipelines for pandas/polars with handling for missing values, duplicates, outliers, type conversions, and data validation. Use when user asks to "clean data", "generate data pipeline", "handle missing values", or "remove duplicates from dataset".
jupyter-notebook-assistant
Dexploarer
Organizes, cleans, and optimizes Jupyter notebooks - removes empty cells, adds structure, extracts functions, generates documentation. Use when user asks to "clean notebook", "organize jupyter", "refactor notebook", or "jupyter best practices".
MCP 工具集成专家
valkryhx
"集成 Model Context Protocol (MCP) 工具，通过 HTTP 连接与外部 MCP 服务交互，提供参数管理、工单生成等功能。"
参数 MCP 工具集成专家
valkryhx
"集成参数 Model Context Protocol (MCP) 工具，通过 HTTP 连接与外部参数 MCP 服务交互，提供参数管理、工单生成等功能。"
audio-to-text
lucas-acc
Transcribe audio files to text with automatic language detection (supports Chinese and English)
pydantic
jiatastic
Pydantic models and validation. Use when: (1) Defining schemas, (2) Validating input/output, (3) Generating JSON schema.
view-refactor
patrickserrano
Refactor SwiftUI view files for consistent structure, dependency injection, and Observation usage. Use when asked to clean up a SwiftUI view's layout, handle view models safely, or standardize how dependencies are initialized and passed.
model-thinking
kcchien
Mental models toolkit for clearer thinking, better decisions, and problem-solving. Use when users face complex problems, need decision support, want to analyze situations from multiple angles, organize information, understand systems, predict outcomes, or learn about specific mental models. Triggers include phrases like "help me think through", "analyze this problem", "what models apply here", "how should I decide", "evaluate options", or direct model references (e.g., "use second-order thinking", "apply inversion"). 中文觸發：「思維模型」、「幫我分析」、「決策分析」、「多角度思考」、「怎麼判斷」、「幫我想清楚」、「系統思考」、「風險評估」。
fermi-estimation
tumf
Solve user questions with defensible Fermi estimates using explicit assumptions, source-backed inputs, uncertainty ranges, and sensitivity analysis. Use when exact data is unavailable or too slow to collect but the user still needs a quantitative answer for counts, market size, demand, costs, revenue, capacity, timing, or operational scale. Autonomously gather accessible evidence, prefer current primary sources, and drive to a conclusion without asking for approval.
gemini
G1Joshi
Google Gemini AI models for multimodal tasks. Use for multimodal AI.
huggingface
G1Joshi
Hugging Face transformers library and hub. Use for NLP models.
claude
G1Joshi
Anthropic Claude AI models for analysis and coding. Use for AI assistants.
jupyter
G1Joshi
Jupyter notebooks for interactive computing. Use for data exploration.
ray
G1Joshi
Ray distributed computing framework. Use for scaling ML.
endurance-coach
shiv19
Create personalized triathlon, marathon, and ultra-endurance training plans. Use when athletes ask for training plans, workout schedules, race preparation, or coaching advice. Can sync with Strava to analyze training history, or work from manually provided fitness data. Generates periodized plans with sport-specific workouts, zones, and race-day strategies.
domain-driven-design
G1Joshi
DDD tactical and strategic patterns. Use for complex domains.
deepseek
G1Joshi
DeepSeek AI models for coding. Use for code AI.
pytorch
G1Joshi
PyTorch deep learning framework with dynamic graphs. Use for neural networks.
opencv
G1Joshi
OpenCV computer vision library. Use for image processing.
keras
G1Joshi
Keras high-level neural network API. Use for deep learning.