MLOps

模型部署、评估与运维

显示 1873-1896 / 共 2092 个技能
sovr610

Visualization & Interpretability

sovr610

This skill should be used when the user asks to "visualize activations", "plot spike rasters", "show attention heatmaps", "visualize workspace", "plot reasoning traces", "create t-SNE embeddings", "interpret model decisions", "visualize HTM patterns", "show neuromodulator levels", "plot training curves", "create activation maps", "visualize feature maps", "explain predictions", "debug model behavior visually", or needs guidance on visualization, interpretability, or explainability tooling for the brain_ai system.

分析 0 7个月前
nimeshgurung

senior-ml-engineer

nimeshgurung

World-class ML engineering skill for productionizing ML models, MLOps, and building scalable ML systems. Expertise in PyTorch, TensorFlow, model deployment, feature stores, model monitoring, and ML infrastructure. Includes LLM integration, fine-tuning, RAG systems, and agentic AI. Use when deploying ML models, building ML platforms, implementing MLOps, or integrating LLMs into production systems.

Kubernetes 0 11个月前
diskd-ai

groq-api

diskd-ai

Groq API integration for building AI-powered applications with ultra-fast LLM inference. Use when working with Groq's Chat Completions API, Python SDK (groq), TypeScript SDK (groq-sdk), tool use/function calling, vision/image processing, audio transcription with Whisper, streaming responses, text-to-speech, content moderation with Llama Guard, batch processing, or any Groq API integration task. Triggers on mentions of Groq, GroqCloud, or fast LLM inference needs.

MLOps 0 9个月前
campbellmcgregor

agentic-development

campbellmcgregor

Conversational guidance for building software with AI agents, covering workflows, tool selection, prompt strategies, parallel agent management, and best practices based on real-world high-volume agentic development experience. Use this skill when users ask about setting up agentic workflows, choosing models, optimizing prompts, managing parallel agents, or improving agent output quality.

智能体 0 11个月前
VisualxIntelligence

feedback-mastery

VisualxIntelligence

Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.

代码评审 0 9个月前
shivamsinghchahar

rails-testing-rspec

shivamsinghchahar

Write Rails tests with RSpec, FactoryBot, and mocking patterns. Use when creating tests, writing specs for models/controllers/requests, setting up test fixtures, or mocking external services.

代码生成 0 8个月前
yousufjoyian

Audio Transcriber

yousufjoyian

Claude agent skills and workspace configuration

数据处理 0 9个月前
pc-style

aidr

pc-style

Offload context-heavy but low-complexity codebase work to Aider through a thin CLI wrapper. Use when another AI agent should avoid loading large repository context for tasks like discovery, repetitive refactors, cross-file version bumps, and broad search/explain passes. Supports safe read-only scanning, scoped edit runs, model-mode routing, and setup/model diagnostics.

自动化 0 8个月前
pateljig4545

prompt-engineer

pateljig4545

Transform rough prompts/ideas into production-ready LLM prompts. Use when crafting, refining, or optimizing prompts for any AI model (Claude, GPT, Llama, etc.) with advanced techniques like CoT, constitutional AI, RAG optimization.

数据处理 0 8个月前
nimeshgurung

capa-officer

nimeshgurung

Senior CAPA Officer specialist for managing Corrective and Preventive Actions within Quality Management Systems. Provides CAPA process management, root cause analysis, effectiveness verification, and continuous improvement coordination. Use for CAPA investigations, corrective action planning, preventive action implementation, and CAPA system optimization.

数据处理 0 11个月前
manthis

SKILL.md — task-router

manthis

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自动化 0 8个月前
nimeshgurung

senior-data-scientist

nimeshgurung

World-class data science skill for statistical modeling, experimentation, causal inference, and advanced analytics. Expertise in Python (NumPy, Pandas, Scikit-learn), R, SQL, statistical methods, A/B testing, time series, and business intelligence. Includes experiment design, feature engineering, model evaluation, and stakeholder communication. Use when designing experiments, building predictive models, performing causal analysis, or driving data-driven decisions.

数据处理 0 11个月前
jwongmongodb

streams-mcp-tools

jwongmongodb

Build, operate, and debug Atlas Stream Processing through the MongoDB MCP Server. Use when user says "set up a Kafka pipeline", "deploy a stream processor", "add a connection to my workspace", "why is my processor failing", "stop my processor", "delete my workspace", "show me my Streams workspaces", or any task involving Atlas Stream Processing workspaces, connections, or processors. Do NOT use for general MongoDB queries, Atlas cluster management, or non-Streams Atlas operations.

CI/CD 0 7个月前
joshuajbrunner

discuss

joshuajbrunner

Explicitly launch and conduct a substantive discussion with one or more pi sessions through Herdr and pi-intercom.

认证鉴权 0 1个月前
HUANGYming

ai-news-radar

HUANGYming

Summarize current AI news by searching for recent developments across model releases, product launches, research, regulation, funding, and major industry moves. Use when the user wants a concise snapshot of what is happening in AI right now.

代码生成 0 7个月前
EvilFreelancer

token-cost

EvilFreelancer

Use when the user invokes /token-cost or asks for the floor / bedrock / self-cost / "real" price of LLM tokens on a self-hosted server — the physical lower bound from electricity plus hardware amortization, NOT the market API price. The skill measures power draw and generation speed ON the server (nvidia-smi, streaming benchmark) and asks for electricity tariff, hardware cost and amortization period, then prints cost per 1M input/output tokens. Triggers: "сколько на самом деле стоит токен", "цена самохоста", capacity and break-even planning.

API 开发 0 1个月前
ahmedeid5

openclaw-groq-orpheus-tts

ahmedeid5

Fast and FREE Arabic (Saudi) & English AI voices. Generous 100 requests per day via Groq API. Professional, high-quality generative TTS using Orpheus models.

API 开发 0 8个月前
sovr610

Inference Optimization

sovr610

This skill should be used when the user asks to "optimize inference", "speed up predictions", "add caching", "batch inference", "async inference", "reduce inference latency", "profile inference", "memory efficient inference", "inference pipeline", "warm up model", "KV cache", "inference throughput", "latency benchmark", "optimize forward pass", or needs guidance on inference performance optimization, caching strategies, batch processing, async execution, or latency profiling for the brain_ai system.

缓存 0 7个月前
sovr610

Sleep Consolidation Cycle (Offline Replay + Synaptic Homeostasis + Systems Consolidation)

sovr610

This skill should be used when the user asks to "add sleep cycle", "memory consolidation", "offline replay", "synaptic homeostasis", "sleep-wake cycle", "memory replay consolidation", "sharp wave ripple replay", "slow wave sleep computation", "dream-like generative replay", "synaptic downscaling", "interleaved replay", "systems consolidation", "hippocampal-cortical transfer", "offline training phase", "implement sleep consolidator", "add NREM replay phase", "add REM generative phase", "implement experience replay scheduler", "add weight downscaling", "implement complementary learning systems", "add fast-to-slow transfer", "implement two-phase training", "add sleep phase to training orchestrator", "implement priority replay sampling", "add compressed replay", "implement dream replay from world model", "add pseudo-rehearsal", "implement capacity restoration", "add synaptic renormalization", or mentions sleep consolidation, offline consolidation phase, NREM structured replay, REM creative recombination, sharp-wave ripple compressed replay, synaptic homeostasis hypothesis, Tononi-Cirelli downscaling, complementary learning systems, hippocampal-cortical transfer, fast-to-slow knowledge distillation, dream-like generative replay, pseudo-experience generation, two-phase wake-sleep training, replay priority sampling, capacity restoration, or sleep-wake integration with training orchestrator in the cognitive pipeline.

MLOps 0 7个月前
Dsantiagomj

database-migrations

Dsantiagomj

Database schema migrations and change management. Covers Prisma migrations, schema versioning, rollback strategies, and safe production deployments. Trigger: When creating database migrations, when modifying schemas, when deploying database changes, when handling rollbacks.

数据库 0 9个月前
cgk-platform

veo-video-gen

cgk-platform

Generate videos with Veo 3.1 (Google), Kling 3.0 (Kuaishou), or Sora 2 (OpenAI). Supports text-to-video AND image-to-video with customizable duration, aspect ratio, resolution, person generation, and multi-video batch output. Video extension/continuation up to ~3 minutes. Automatically uploads to Slack.

Docker 0 7个月前
yuanxiao0115

codex-subagent

yuanxiao0115

Spawn Codex subagents via background shell to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation, or any other task where the intermediate steps will use large numbers of tokens.

代码评审 0 9个月前
nimeshgurung

regulatory-affairs-head

nimeshgurung

Senior Regulatory Affairs Manager expertise for HealthTech and MedTech companies. Provides strategic regulatory guidance, submission management, regulatory pathway analysis, global compliance coordination, and cross-functional team leadership. Use for regulatory strategy development, submission planning, regulatory risk assessment, and team coordination activities.

代码评审 0 11个月前
naohainezha

screenshot

naohainezha

Take screenshots of the screen using macOS screencapture. Use when users ask to see the screen, debug UI, or capture what's displayed. Resize before returning to avoid blowing up model context.

CLI 工具 0 8个月前