ML Ops

Machine learning operations

Showing 1225-1248 of 1816 skills
valkryhx

MCP 工具集成专家

by 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。"

API Dev 7 5mo ago
KentoShimizu

db-conceptual-modeling

by KentoShimizu

"Conceptual data modeling workflow for domain entities, relationships, and lifecycle boundaries. Use when teams must align on domain meaning before logical/physical schema decisions; do not use for index-only or migration-only tasks."

Database 7 5mo ago
valkryhx

参数 MCP 工具集成专家

by 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。"

API Dev 7 5mo ago
latestaiagents

chunking-strategies

by latestaiagents

Optimize document chunking for RAG performance and retrieval quality. Use this skill when splitting documents, choosing chunk sizes, implementing semantic chunking, or improving RAG retrieval accuracy. Activate when: chunking, split documents, chunk size, text splitting, document processing, RAG performance, semantic chunking, overlap.

Embeddings 5 5mo ago
front-depiction

the-vm-standard

by front-depiction

The VM Standard - inviolable covenants governing View Model architecture in this codebase. These covenants SHALL NOT be violated under any circumstance.

ML Ops 17 6mo ago
front-depiction

effect-ai-provider

by front-depiction

Configure and compose AI provider layers using @effect/ai packages. Covers Anthropic, OpenAI, OpenRouter, Google, and Amazon Bedrock providers with config management, model abstraction, and runtime overrides for language model integration.

Embeddings 17 6mo ago
wdavidturner

monetizing-innovation

by wdavidturner

Use when asked about "pricing strategy", "willingness to pay", "value metric", "packaging tiers", "good better best pricing", "subscription vs usage pricing", or "price before product". Helps design products customers will pay for and choose pricing models that capture value. Based on Madhavan Ramanujam's Monetizing Innovation framework from Simon-Kucher.

ML Ops 16 6mo ago
wdavidturner

hooked-model

by wdavidturner

Use when asked to "build habit-forming products", "Hooked model", "trigger action reward investment", "create sticky behavior loops", or "design habit loops". Helps design products that form unprompted user habits. The Hooked Model (created by Nir Eyal) explains how products create habits through Trigger, Action, Variable Reward, and Investment.

Code Gen 16 6mo ago
Przemocny

critical-business-brief

by Przemocny

Create critical business briefs through challenging dialogue that validates ideas and stress-tests assumptions. Use when user presents business ideas, wants to explore concepts, mentions starting a business, or needs business validation. Conducts realistic, skeptical conversations to expose weaknesses and creates structured business briefs in .ideas/ folder. Triggers include "I have a business idea", "business opportunity", "startup idea", or "validate this concept".

File Ops 16 6mo ago
wdavidturner

product-led-growth

by wdavidturner

Use when asked about "product-led growth", "PLG strategy", "self-serve growth", "freemium model", "free trial design", "product-led sales", "PQL", or "bottoms-up growth". Helps design and optimize product-led growth motions where the product drives acquisition, activation, and monetization. Based on frameworks from Elena Verna and Hila Qu.

Code Gen 16 6mo ago
wdavidturner

growth-loops

by wdavidturner

Use when asked to "growth loops", "build a growth engine", "design a viral loop", "create a content loop", "move beyond paid acquisition", or "why isn't growth compounding". Helps design self-reinforcing growth systems where output becomes input. The Growth Loops framework (from Brian Balfour / Reforge and Elena Verna) shifts thinking from linear funnels to compounding loops.

Code Gen 16 6mo ago
jackspace

cloudflare-workers-ai

by 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

Processing 15 8mo ago
tumf

fermi-estimation

by 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.

Processing 3 4mo ago
Agentient

vertex-ai-sdk

by Agentient

Vertex AI SDK patterns for configuring Gemini models including generation parameters, safety settings, streaming responses, and function calling. PROACTIVELY activate for: (1) model configuration and temperature settings, (2) safety controls and streaming implementation, (3) Vertex AI endpoint selection and function calling. Triggers: "gemini config", "model parameters", "streaming response"

API Dev 2 5mo ago
Agentient

agent-orchestration

by Agentient

Multi-agent orchestration patterns including coordinator agents, LlmAgent vs WorkflowAgent selection, agent-as-tool pattern, and inter-agent communication via session state. PROACTIVELY activate for: (1) multi-agent systems and agent coordination, (2) sub-agent delegation and agent-as-tool implementation, (3) workflow orchestration with LlmAgent and WorkflowAgent. Triggers: "multi-agent", "orchestration", "agent team"

Agents 2 5mo ago
alfredang

ai-avatar-video

by alfredang

Create AI avatar and talking head videos with OmniHuman, Fabric, PixVerse via inference.sh CLI. Models: OmniHuman 1.5, OmniHuman 1.0, Fabric 1.0, PixVerse Lipsync. Capabilities: audio-driven avatars, lipsync videos, talking head generation, virtual presenters. Use for: AI presenters, explainer videos, virtual influencers, dubbing, marketing videos. Triggers: ai avatar, talking head, lipsync, avatar video, virtual presenter, ai spokesperson, audio driven video, heygen alternative, synthesia alternative, talking avatar, lip sync, video avatar, ai presenter, digital human

CLI Tools 2 5mo ago
AnEntrypoint

spoint

by AnEntrypoint

"Build multiplayer physics games with the Spawnpoint engine. Use when asked to: create a game, add physics objects, spawn entities, build a map/level, handle player interaction, add weapons, respawn, scoring, create moving platforms, manage world config, load 3D models, add HUD/UI, work with the EventBus, or develop any app inside an apps/ directory."

Processing 2 4mo ago
wassname

vargdown

by wassname

Verified Argdown maps with credences and source quotes.

Processing 2 4mo ago
Agentient

c4-model-architecture-diagrams

by Agentient

[STUB - Not implemented] C4 model diagrams for layered architecture visualization (Context, Container, Component, Code). PROACTIVELY activate for: [TODO: Define on implementation]. Triggers: [TODO: Define on implementation]

ML Ops 2 5mo ago
openclaw-rocks

image-gen

by openclaw-rocks

Generate images via Fuel proxy. No API key needed on Pro plans.

Code Gen 6 4mo ago
eyadsibai

llm-inference

by eyadsibai

Use when "LLM inference", "serving LLM", "vLLM", "llama.cpp", "GGUF", "text generation", "model serving", "inference optimization", "KV cache", "continuous batching", "speculative decoding", "local LLM", "CPU inference"

ML Ops 6 6mo ago
spjoshis

process-modeling

by spjoshis

Master process modeling with BPMN, flowcharts, swimlane diagrams, and process optimization techniques for business process improvement.

Code Gen 6 6mo ago
spjoshis

statistical-analysis

by spjoshis

Master statistical analysis with hypothesis testing, A/B testing, regression, and statistical methods for data-driven decisions.

Processing 6 6mo ago
spjoshis

go-concurrency

by spjoshis

Master Go concurrency with goroutines, channels, select, sync primitives, and patterns for building concurrent applications.

ML Ops 6 6mo ago