ML Ops
Machine learning operations
keda
by tylertitsworth
"KEDA — ScaledObject/ScaledJob CRDs, 60+ triggers, scale-to-zero for GPU inference, TriggerAuthentication. Use when configuring event-driven pod autoscaling. NOT for HPA basics or Kueue."
avoid-unnecessary-type-params
by marius-townhouse
Use when writing generic functions or types. Use when reviewing type signatures. Use when a type parameter only appears once. Use when tempted to add generics for "flexibility".
deepagents-overview
by christian-bromann
Understanding Deep Agents framework - what they are, how to create them with create_deep_agent/createDeepAgent, and the agent harness architecture with built-in middleware for planning, filesystems, and subagents.
discovery
by robzolkos
Quick user-centric interview to capture requirements from a time-poor stakeholder.
langchain-multimodal
by christian-bromann
Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities
langchain-embeddings
by christian-bromann
Guide to using embedding model integrations in LangChain including OpenAI, Azure, and local embeddings
langchain-tool-calling
by christian-bromann
How chat models call tools - includes bind_tools, tool choice strategies, parallel tool calling, and tool message handling
data-engineering
by pluginagentmarketplace
Data engineering, machine learning, AI, and MLOps. From data pipelines to production ML systems and LLM applications.
langchain-models
by christian-bromann
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
swiftui-development
by ProjAnvil
专注于使用 modern SwiftUI 构建用户界面，涵盖 NavigationStack, Observation 框架和 SwiftData 集成。
funsloth-runpod
by chrisvoncsefalvay
Training manager for RunPod GPU instances - configure pods, launch training, monitor progress, retrieve checkpoints
Skillsmatrix
by robdtaylor
Operator training and competency tracking for MNMUK machine shop. Supports IATF 16949 competency requirements and workforce planning. USE WHEN user asks 'who can run', 'training matrix', 'competency', 'skills matrix', 'operator certification', 'who is trained on', or workforce planning questions.
funsloth-upload
by chrisvoncsefalvay
Generate comprehensive model cards and upload fine-tuned models to Hugging Face Hub with professional documentation
funsloth-train
by chrisvoncsefalvay
Generate Unsloth training notebooks and scripts. Use when the user wants to create a training notebook, configure fine-tuning parameters, or set up SFT/DPO/GRPO training.
funsloth-hfjobs
by chrisvoncsefalvay
Training manager for Hugging Face Jobs - launch fine-tuning on HF cloud GPUs with optional WandB monitoring
funsloth-local
by chrisvoncsefalvay
Training manager for local GPU training - validate CUDA, manage GPU selection, monitor progress, handle checkpoints
@tank/typescript
by tankpkg
"Advanced TypeScript patterns for type-safe applications. Triggers: typescript, TS, type, interface, generic, union, discriminated union, branded type, utility type, conditional type, mapped type, template literal, infer, satisfies, as const, tsconfig, strict mode, type guard, type narrowing, type-safe."
langchain-models
by evanfang0054
Initialize and use LangChain chat models - includes provider selection (OpenAI, Anthropic, Google), model configuration, and invocation patterns
@tank/vector-graphics-gen
by tankpkg
Generate vector graphics (SVG) for websites and apps using AI APIs. Primary platforms: QuiverAI Arrow (highest quality, #1 SVG Arena) and fal.ai with Recraft V4 for native SVG generation, plus image-to-SVG conversion. Covers text-to-vector generation, image vectorization, prompt engineering for clean vector output, SVG optimization (SVGO), and web integration patterns (React, Vue, sprites, dark mode). Synthesizes QuiverAI documentation, fal.ai documentation, Recraft AI documentation, SVGO docs, and SVG specification. Trigger phrases: "vector graphic", "generate SVG", "SVG icon", "vector illustration", "AI vector", "fal.ai", "FAL_KEY", "recraft", "recraft v4", "text to SVG", "image to SVG", "quiver", "quiverai", "arrow model", "vectorize image", "SVG generation", "vector logo", "AI illustration", "icon generation", "SVG for web", "vector art API", "fal-ai/recraft", "generate icon", "web illustration", "SVG background", "vector pattern", "clean SVG", "production SVG", "text-to-vector"
langchain-multimodal
by evanfang0054
Work with multimodal inputs/outputs in LangChain - includes images, audio, video, content blocks, and vision capabilities
@tank/auth-patterns
by tankpkg
Authentication and authorization patterns for any language or framework. Covers JWT internals (structure, algorithms, attacks, validation), OAuth2 grant types (Authorization Code, PKCE, Client Credentials, Device Code), session management (cookies, expiry, fixation, distributed), RBAC/ABAC/ReBAC (role modeling, authorization policies, Zanzibar), OpenID Connect and social login (ID tokens, account linking, provider patterns), MFA (TOTP, WebAuthn/passkeys, backup codes, step-up auth), and authentication security (XSS/CSRF, token storage, credential stuffing, rate limiting). Synthesizes RFC 6749, RFC 7519, RFC 6238, W3C WebAuthn Level 2, NIST SP 800-63B, and OWASP Authentication/CSRF cheat sheets. Trigger phrases: "JWT", "OAuth2", "OAuth 2.0", "session management", "RBAC", "ABAC", "role-based access", "authorization model", "OpenID Connect", "OIDC", "social login", "MFA", "multi-factor authentication", "TOTP", "WebAuthn", "passkeys", "refresh token", "access token", "PKCE", "auth flow", "implement authentication", "implement auth", "sign in with", "cookie security", "HttpOnly", "SameSite", "token storage", "XSS auth", "CSRF protection", "credential stuffing", "account linking", "backup codes", "permission system", "login security", "password hashing"
distill
by corygabrielsen
Strip overspecified instructions from an artifact. Trust the model's intuition — prescribe intent, not format.
eld-model
by CAPHTECH
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lets_build_an_llm Skill
by 7Hu0v0
How does this technical point help me judge a candidate's real capability, team ownership, and talent value before a pre-talk?