MLOps

Operacions d’aprenentatge automàtic

Skills: 1153–1176 de 2110
elementsix

seedance-storyboard

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。

MLOps 311 fa 8 mesos
YuniorGlez

ai-cost-optimizer

YuniorGlez

"Master of LLM Economic Orchestration, specialized in Google GenAI (Gemini 3), Context Caching, and High-Fidelity Token Engineering."

Processament de dades 13 fa 9 mesos
YuniorGlez

gemini-sdk-expert

YuniorGlez

"Senior Architect for @google/genai v1.35.0+. Specialist in Structured Intelligence, Context Caching, and Agentic Orchestration in 2026."

Processament de dades 13 fa 8 mesos
YuniorGlez

prompt-pro

YuniorGlez

"Senior Prompt Engineer & Agentic Orchestrator. Expert in Reasoning Models (o3), Tree-of-Thoughts, and Structured Thinking Protocols for 2026."

MLOps 13 fa 9 mesos
hainamchung

azure-functions

hainamchung

"Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app."

Núvol 54 fa 9 mesos
jackspace

cloudflare-workers-ai

jackspace

Complete knowledge domain for Cloudflare Workers AI - Run AI models on serverless GPUs across Cloudflare's global network. Use when: implementing AI inference on Workers, running LLM models, generating text/images with AI, configuring Workers AI bindings, implementing AI streaming, using AI Gateway, integrating with embeddings/RAG systems, or encountering "AI_ERROR", rate limit errors, model not found, token limit exceeded, or neurons exceeded errors. Keywords: workers ai, cloudflare ai, ai bindings, llm workers, @cf/meta/llama, workers ai models, ai inference, cloudflare llm, ai streaming, text generation ai, ai embeddings, image generation ai, workers ai rag, ai gateway, llama workers, flux image generation, stable diffusion workers, vision models ai, ai chat completion, AI_ERROR, rate limit ai, model not found, token limit exceeded, neurons exceeded, ai quota exceeded, streaming failed, model unavailable, workers ai hono, ai gateway workers, vercel ai sdk workers, openai compatible workers, workers ai vectorize

Processament de dades 16 fa 11 mesos
dojoengine

dojo-system

dojoengine

Create Dojo systems that implement game logic, modify model state, and handle player actions. Use when implementing game mechanics, player commands, or automated logic.

Operacions amb fitxers 53 fa 8 mesos
dojoengine

dojo-review

dojoengine

Review Dojo code for best practices, common mistakes, security issues, and optimization opportunities. Use when auditing models, systems, tests, or preparing for deployment.

Revisió de codi 53 fa 9 mesos
dojoengine

dojo-model

dojoengine

Create Dojo models for storing game state with proper key definitions, trait derivations, and ECS patterns. Use when defining game entities, components, or state structures.

Generació de codi 53 fa 8 mesos
dojoengine

dojo-test

dojoengine

Write tests for Dojo models and systems using spawn_test_world, cheat codes, and assertions. Use when testing game logic, verifying state changes, or ensuring system correctness.

Operacions amb fitxers 53 fa 9 mesos
liqiongyu

enterprise-sales

liqiongyu

"Create an Enterprise Deal Execution Pack (buying committee map + champion enablement, “no decision” prevention plan + mutual action plan, procurement/security packet, and POC-as-business-case plan + ROI model). Use for enterprise sales, procurement, security reviews, and enterprise pilots/POCs. Category: Sales & GTM."

Àmbit jurídic 52 fa 9 mesos
liqiongyu

building-team-culture

liqiongyu

"Build or refresh a team culture and produce a Team Culture Operating System Pack (culture snapshot, culture code, norms, rituals, rollout + measurement plan). Use for team culture, culture code, team values, team norms, psychological safety, and coaching culture. Category: Hiring & Teams."

Generació de codi 52 fa 9 mesos
liqiongyu

building-sales-team

liqiongyu

"Build an early sales team and operating cadence (readiness gate, hiring plan, role scorecards, interview loop, onboarding/ramp). Use for first AE/SDR hires, seed→Series A sales team build, and product-led sales pilot. Category: Sales & GTM."

Animació 52 fa 9 mesos
liqiongyu

organizational-design

liqiongyu

"Design or redesign an org structure and operating model by producing an Organizational Design Pack (design brief, current-state map, operating-model decision, target org blueprint, transition plan). Use for org design, reorgs, team topology, functional vs divisional structures, and centralized vs decentralized decision-making. Category: Leadership."

Animació 52 fa 9 mesos
liqiongyu

design-systems

liqiongyu

"Build or evolve a design system by producing a Design System Operating Pack: charter, token model (incl. depth/elevation), component inventory + roadmap, blockframe-to-component mapping, documentation plan, and governance/adoption plan. Use for design systems, component libraries, design tokens, UI kits, and pattern libraries."

Revisió de codi 52 fa 9 mesos
liqiongyu

fundraising

liqiongyu

"Plan and run an early-stage fundraising process and produce a Fundraising Pack (raise decision memo, round design brief, pitch narrative + deck outline, investor pipeline + tracker, outreach/follow-up scripts, diligence checklist). Use for fundraising, raising capital, venture capital, pitch deck, investor outreach, pre-seed, seed. Category: Career."

Correu electrònic 52 fa 9 mesos
10x-Anit

workout-program-designer

10x-Anit

Custom training plans by goal (strength, cardio, flexibility). Progressive overload programming, rest day optimization, home vs gym adaptations, deload weeks.

Desenvolupament d’API 11 fa 8 mesos
liqiongyu

organizational-transformation

liqiongyu

"Lead an organizational transformation toward a modern product operating model (not “framework adoption”). Produces an Organizational Transformation Pack (diagnostic, target operating model, pilot plan, roadmap, comms, governance). Use for org transformation, product operating model change, moving from feature teams to empowered product teams, and change management. Category: Leadership."

Generació de codi 52 fa 9 mesos
jforksy

cap-table

jforksy

Equity tracking, dilution analysis, option pool modeling, and cap table management

Processament de dades 2 fa 8 mesos
fefogarcia

business-model-auditor

fefogarcia

Use this skill when users need to stress test their business model, identify scale limitations, find bottlenecks, determine if they're trading time for money, or evaluate unit economics. Activates for "can this scale," "what breaks at 10x," or business model viability questions.

Depuració 2 fa 8 mesos
BjornMelin

ai-sdk-core

BjornMelin

Expert guidance for AI SDK Core: text generation, structured data, tool calling (tool/dynamicTool), MCP integration (createMCPClient, Experimental_StdioMCPTransport), embeddings/reranking, provider setup, middleware, telemetry, and error handling. Use when building with generateText/streamText, generateObject/streamObject, tools (needsApproval, strict, inputExamples, activeTools, toolChoice, experimental_context), embeddings (embed/embedMany/rerank), or MCP tools/resources/prompts/elicitation.

Depuració 8 fa 9 mesos
BjornMelin

ai-sdk-agents

BjornMelin

Expert guidance for building AI agents with ToolLoopAgent (AI SDK v6+). Use when creating agents, configuring stopWhen/prepareStep, callOptionsSchema/prepareCall, dynamic tool selection, tool loops, or agent workflows (sequential, routing, evaluator-optimizer, orchestrator-worker). Triggers: ToolLoopAgent, agent loop, stopWhen, stepCountIs, prepareStep, callOptionsSchema, prepareCall, hasToolCall, InferAgentUIMessage, agent workflows.

Agents 8 fa 9 mesos
Coowoolf

gamification-triad

Coowoolf

Use when designing retention mechanisms, habit loops, or auditing why users drop off despite engaging with core features, to structure gamification beyond superficial badges

Revisió de codi 2 fa 9 mesos
BjornMelin

notebook-ml-architect

BjornMelin

Expert guidance for auditing, refactoring, and designing machine learning Jupyter notebooks with production-quality patterns. Use when: (1) Analyzing notebook structure and identifying anti-patterns, (2) Detecting data leakage and reproducibility issues, (3) Refactoring messy notebooks into modular pipelines, (4) Generating templates for ML workflows (EDA, classification, experiments), (5) Adding reproducibility instrumentation (seeding, logging, env capture), (6) Converting notebooks to Python scripts, (7) Generating experiment summary reports. Triggers on: ML notebook, Jupyter audit, notebook refactor, data leakage, experiment template, ipynb best practices, notebook to script, reproducibility.

Generació de codi 8 fa 9 mesos