ML Ops

Machine learning operations

Showing 1681-1704 of 1815 skills
pmco23

status

by pmco23

Use at any time to check pipeline state and get next-step guidance. When no pipeline is active, shows available workflow options and paths. No gate — always available.

CI/CD 0 4mo ago
aroc

debate

by aroc

Orchestrate a debate between Claude and Codex to reach consensus. Use when the user asks for a "second opinion", "debate", "consensus", "crosscheck", or wants another model to review a proposal or diff.

CLI Tools 0 5mo ago
kandadavid36

oss-investment-scorecard

by kandadavid36

Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle. ALWAYS use this skill when the user asks any of the following: - "evaluate [project] for investment" - "can we invest in [project]" - "score this open source company" - "投资评估 [项目]" - "这个开源项目值得投吗" - "给 [公司] 打分" - Any request to assess, rate, or rank an open source startup's investability - Any comparison of two or more open source companies from an investment perspective The skill produces a structured 5-dimension weighted scorecard (max 10 pts), a pass/recommend/watch verdict, and an IC-ready one-paragraph thesis. It also flags one-vote-veto conditions that cause an immediate Pass regardless of total score.

Finance 0 4mo ago
tparrin

triplo-ai-expert

by tparrin

Provides comprehensive guidance on installing, configuring, and mastering Triplo AI features (SmartPrompts, Training, Knowledge Bases, Automations, Agents, models, local models, etc.). Triggers whenever user asks how to use, configure, debug, or design workflows in Triplo AI.

Code Gen 0 4mo ago
ehtbanton

jenkins-pipeline-generator

by ehtbanton

Generate Jenkins pipeline files (Jenkinsfile) with declarative or scripted syntax. Triggers on "create jenkinsfile", "generate jenkins pipeline", "jenkins ci config", "jenkins build pipeline".

CI/CD 0 7mo ago
MildTomato

supabase-environments

by MildTomato

Internal guide for building the Supabase CLI environments system. Covers three-environment model, variable resolution, pull/push workflows, secret handling, branch overrides, and local file conventions. For Supabase internal development - use when implementing the env CLI subsystem or environment variable infrastructure.

CLI Tools 0 5mo ago
sovr610

Meta-Learning Suite (MAML/FOMAML/Reptile + MAML++ Enhancements)

by sovr610

This skill should be used when the user asks to "implement meta-learning", "add MAML inner loop", "implement FOMAML", "add Reptile", "implement MAML++", "add per-layer per-step learning rates", "implement LSLR", "add multi-step loss", "implement episodic sampling", "add few-shot learning", "implement inner-loop optimizer", "add second-order meta-gradients", "implement torch.func inner loop", "add higher library support", "implement adaptation curves", "add AUAC metrics", "implement meta-checkpoint format", "add derivative-order annealing", "implement episode sampler", "add Omniglot dataset", "add mini-ImageNet splits", "implement Phase 7 runner", "add meta-training loop", "implement fast adaptation", "add batch norm handling for meta-learning", "implement differentiable inner loop", or mentions MAML, FOMAML, Reptile, meta-gradients, episodic few-shot, inner-loop optimization, MAML++ enhancements, or Phase 7 meta-training in the cognitive pipeline.

ML Ops 0 4mo ago
Nomik94

domain-layer

by Nomik94

Domain Layer 설계 및 구현 가이드. Use when: Entity/Value Object/Aggregate Root 설계, 도메인 이벤트 구현, 비즈니스 로직 배치 판단, Repository Protocol 정의, Domain vs Application Service 구분, 상태 전이 로직, 도메인 예외 설계, 서비스 비대화 해결, 로직 분리. NOT for: 단순 CRUD (비즈니스 규칙 없으면 domain layer 불필요), SQLAlchemy 모델 작성, 단순 dataclass 문법.

Code Gen 0 4mo ago
RSHVR

cohere-java-sdk

by RSHVR

Cohere Java SDK reference for chat, streaming, embeddings, reranking, and tool use. Use when building Java/Kotlin applications with Cohere APIs.

API Dev 0 5mo ago
jamelna-apps

pricing-strategy

by jamelna-apps

When the user mentions "pricing", "price", "monetization", "subscription", "tiers", "freemium", "revenue model", or asks about how to price a product or service.

ML Ops 0 5mo ago
marozz1k2

SKILL: Документирование PuzzleAI

by marozz1k2

документация docs.pxsto.re

API Dev 0 4mo ago
htooayelwinict

deepagent

by htooayelwinict

Expert guidance for DeepAgents framework - simplified agent creation with tool integration for LangChain/LangGraph workflows.

Agents 0 7mo ago
sovr610

Gradient Checkpointing (Activation Recomputation)

by sovr610

This skill should be used when the user asks to "enable gradient checkpointing", "reduce training memory", "activation checkpointing", "torch.utils.checkpoint", "memory-compute tradeoff", "checkpoint sequential layers", "selective checkpointing", "recomputation strategy", "activation memory profiling", "per-layer memory budget", "checkpoint_sequential", "checkpoint_wrapper", "SAC selective activation checkpointing", "SNN timestep checkpoint", "FSDP activation checkpointing", "checkpoint per timestep", "memory-efficient training", "recompute activations in backward", or needs guidance on trading compute for memory during training, per-layer memory profiling, selective recomputation strategies, or integration with distributed training wrappers.

Finance 0 4mo ago
diskd-ai

cerebras-api

by diskd-ai

Cerebras API integration for building AI-powered applications with ultra-fast LLM inference. Use when working with Cerebras's Chat Completions API, Python SDK (cerebras_cloud_sdk), TypeScript SDK (@cerebras/cerebras_cloud_sdk), tool use/function calling, structured outputs with JSON schemas, reasoning models with thinking tokens, streaming responses, or any Cerebras API integration task. Triggers on mentions of Cerebras, Cerebras Inference, Llama on Cerebras, Qwen on Cerebras, GLM, or fast LLM inference needs.

ML Ops 0 6mo ago
legout

data-science-notebooks

by legout

"Interactive notebooks for data science: Jupyter, JupyterLab, and marimo. Use for exploratory analysis, reproducible research, documentation, and sharing insights with stakeholders."

Processing 0 5mo ago
copyleftdev

fowler

by copyleftdev

Design systems using Martin Fowler's principles of refactoring, continuous integration, and patterns of enterprise application architecture. Emphasizes clean code, evolution over revolution, and writing code for humans first. Use when designing enterprise systems, planning refactors, or establishing engineering culture.

Processing 0 5mo ago
clous-ai

hreng-skills

by clous-ai

Use when the user wants to assess engineering team skills, build a skills matrix, identify gaps vs. roadmap, and design training or hiring plans.

Processing 0 5mo ago
pmco23

plan

by pmco23

Use after /review to transform the approved design into an atomic execution plan. Writes task groups with exact file paths, complete code examples, and named test cases with assertions. Build agents must never need to ask clarifying questions. Writes .pipeline/plan.md.

Automation 0 4mo ago
cuba6112

eval-frameworks

by cuba6112

Evaluation framework patterns for RAG and LLMs, including faithfulness metrics, synthetic dataset generation, and LLM-as-a-judge patterns. Triggers: ragas, deepeval, llm-eval, faithfulness, hallucination-check, synthetic-data.

ML Ops 0 6mo ago
progmichaelkibenko

pipeline-pattern-react

by progmichaelkibenko

Implements the Pipeline design pattern in React for data transformation. Use when the user mentions pipeline pattern, or when you need a fixed sequence of stages that each transform data and pass to the next—ETL-style processing in the UI, parsing, formatting pipelines, or any linear transformation flow that runs to completion.

CI/CD 0 5mo ago
wilfred-dore

ecostral-optimizer

by wilfred-dore

Optimize any HuggingFace model to minimize energy consumption, CO₂ emissions, and inference cost using real GPU measurements and Mistral Large reasoning. Use this skill when asked to quantize a model, reduce its carbon footprint, benchmark deployment configurations (datacenter GPU, Jetson Orin, edge devices), or generate an optimization report with W&B experiment tracking.

Processing 0 4mo ago
legout

data-science-interactive-apps

by legout

"Interactive web apps for data science: Streamlit, Panel, and Gradio. Use for prototyping ML models, creating data exploration dashboards, and sharing insights with non-technical stakeholders."

Processing 0 5mo ago
jprokay-counterpart

django-model

by jprokay-counterpart

Creating Django models following Counterpart's patterns. Use when building new models, working with audit fields, implementing relationships, or using PydanticJSONEncoder. Triggers: 'create model', 'new database table', 'audit fields', 'BaseModel inheritance', 'add foreign key', 'JSON field validation'

Processing 0 9mo ago
ncdevshiv

3d-web-experience

by ncdevshiv

"Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ..."

Processing 0 4mo ago