MLOps

模型部署、评估与运维

显示 1849-1872 / 共 2094 个技能
pluginagentmarketplace

data-ai-guide

pluginagentmarketplace

Comprehensive data science, machine learning, and AI guide covering Python, deep learning, NLP, LLMs, prompt engineering, and MLOps. Use when building AI models, data pipelines, or machine learning systems.

数据处理 1 9个月前
galligan

test-skill

galligan

A test skill for validating the packager

CI/CD 1 10个月前
drillan

mixseek-debug

drillan

MixSeek-Plusのデバッグ機能を有効化し、ログ出力を制御します。「デバッグモードを有効化」「verbose」「ログを出力」「ログレベル」「デバッグ設定」といった依頼で使用してください。

CLI 工具 1 8个月前
neuradex

langfuse-observation-view

neuradex

View Langfuse observation (Generation/Span) details. Use when checking specific LLM call input/output, debugging issues, or analyzing costs.

CLI 工具 1 8个月前
drillan

mixseek-team-config

drillan

MixSeekのチーム設定ファイル(team.toml)を生成します。「チームを作成」「エージェント設定を生成」「Web検索チームを作って」「分析チームを設定」といった依頼で使用してください。Leader AgentとMember Agentの構成を定義します。

学术 1 8个月前
shimo4228

cost-aware-llm-pipeline

shimo4228

"Use when building an LLM-powered app that needs cost control via model routing, budget tracking, retry, and prompt caching."

金融 1 8个月前
jakerains

onnx-webgpu-converter

jakerains

Convert HuggingFace transformer models to ONNX format for browser inference with Transformers.js and WebGPU. Use when given a HuggingFace model link to convert to ONNX, when setting up optimum-cli for ONNX export, when quantizing models (fp16, q8, q4) for web deployment, when configuring Transformers.js with WebGPU acceleration, or when troubleshooting ONNX conversion errors. Triggers on mentions of ONNX conversion, Transformers.js, WebGPU inference, optimum export, model quantization for browser, or running ML models in the browser.

自动化 1 8个月前
Changhochien

oh-my-pi

Changhochien

"Multi-agent orchestration for PI: team coordination, autonomous execution, persistence loops, and requirements gathering. USE FOR: multi-agent development, parallel execution, code implementation, architecture design, security review, test automation, project planning. Commands: /skill:team, /skill:autopilot, /skill:ralph, /skill:deep-interview, /skill:plan, /skill:verify"

智能体 1 6个月前
elliottrjacobs

bench-new-skill

elliottrjacobs

Create new skills for the bench-skills repo following all conventions. Use when the user says "create a new skill", "add a skill", "new slash command", or wants to extend bench-skills with additional capabilities.

代码生成 1 8个月前
pluginagentmarketplace

mongodb-aggregation-pipeline

pluginagentmarketplace

Master MongoDB aggregation pipeline for complex data transformations. Learn pipeline stages, grouping, filtering, and data transformation. Use when analyzing data, creating reports, or transforming documents.

CI/CD 1 9个月前
sxg

code-analyzer

sxg

Analyze GitHub repository to extract methodology and generate the Methods section. Fourth step of writer workflow. Requires scope.md and cloned code/ repository.

代码评审 1 9个月前
simnova

anny-asset-pipeline

simnova

Use when working on OpenClinXR Anny or Anny-compatible humanoid generation, source import, Blender rigging/cleanup, provenance, preflight reports, or promotion gates for case-defined humanoid actors. Keeps Anny output as a candidate source until license, provenance, rig, actor-role mapping, WebXR evidence, and false-readiness gates are satisfied.

CI/CD 0 4个月前
diskd-ai

together-api

diskd-ai

Together AI API integration for building AI-powered applications with open-source models. Use when working with Together's Chat Completions API, Python SDK (together), TypeScript SDK (together-ai), CLI tool, tool use/function calling, vision/image understanding, image generation (FLUX, Stable Diffusion), video generation (Veo, Sora, Kling), audio transcription (Whisper), text-to-speech, streaming responses, embeddings, reranking, fine-tuning, or any Together AI API integration task. Triggers on mentions of Together AI, Together API, GroqCloud, open-source LLM inference, FLUX image generation, or Whisper transcription via Together.

CLI 工具 0 9个月前
maxgent-ai

image-gen

maxgent-ai

AI image generation and editing. Use when users ask to generate, create, or draw images with AI, or edit and modify existing images.

Docker 0 8个月前
HangYu8123

train-robot-loop

HangYu8123

Discover and run the authoritative controller-style robot policy train, evaluate, and improve flow. Use when asked to train a robot until a metric target is met, keep improving a policy, or run a long autonomous training loop.

MLOps 0 3个月前
williamwg2025

skill-marketplace

williamwg2025

技能市场,发现、安装、管理 OpenClaw 技能。支持评分、评论、排行榜。

CLI 工具 0 7个月前
javimosch

tinybrain

javimosch

Train tiny neural networks in pure machin (MFL) and ship them as JSON artifacts any MFL app embeds — MLP + SGD backprop for labeled data (classifiers/regressors, incl. bag-of-words intent routing), neuroevolution (GA + fitness closure) for control tasks (game AI), a deterministic PRNG for reproducible runs, and an agent-first CLI (train/predict/eval/guide). Use when an MFL program needs a learned controller, classifier, or scorer — NOT for generative text.

数据处理 0 3个月前
wilfred-dore

wandb-experiment-memory

wilfred-dore

Query Weights & Biases experiment history to retrieve past optimization runs, compare configurations, and inform the next optimization decision. Use this skill when asked to review past AI optimization experiments, find the best configuration tried so far, understand what has already been explored, or suggest the next experiment to run based on W&B history.

数据处理 0 7个月前
shuliuzhenhua-sys

ecommerce-images

shuliuzhenhua-sys

电商商品图生成工作流技能。接收用户提供的商品原图,按模式生成主图、详情图或两者;详情图按套生成并在执行前询问用户需要几张;默认调用 banana-proxy,失败时回退到 baoyu-image-gen;仅支持用中文风格名选择主图/详情图风格。

Docker 0 8个月前
Haruk1y

strict-json-output-hardening

Haruk1y

Improve strict JSON generation reliability for fine-tuned language models using parser-based evaluation, prompt alignment, and targeted retraining loops. Use when outputs are malformed, have extra text, or violate schema/range constraints.

数据处理 0 7个月前
martellevaliant19

grant-thinking-cn-biology

martellevaliant19

Use when evaluating biology grant ideas in the Chinese funding context (NSFC, MOST, etc.) — diagnosing project legitimacy, mechanism-centered scientific questions, reviewer-aware logic, innovation discipline, feasibility, and scope control across funding levels (youth, general, key).

MLOps 0 6个月前
nimeshgurung

senior-data-engineer

nimeshgurung

World-class data engineering skill for building scalable data pipelines, ETL/ELT systems, and data infrastructure. Expertise in Python, SQL, Spark, Airflow, dbt, Kafka, and modern data stack. Includes data modeling, pipeline orchestration, data quality, and DataOps. Use when designing data architectures, building data pipelines, optimizing data workflows, or implementing data governance.

数据处理 0 11个月前
RSHVR

cohere-streaming

RSHVR

Cohere streaming reference for real-time text generation, tool use events, and RAG citations. Covers all stream event types and async streaming patterns.

MLOps 0 8个月前
maxgent-ai

video-gen

maxgent-ai

AI video generation with text-to-video, image-to-video, and first/last frame control. Use when users ask to generate or create videos from text prompts or images.

Docker 0 8个月前