ML Ops
Machine learning operations
timecamp
by timecamp-org
Use when the user asks about time tracking, time entries, tasks, timers, or anything related to TimeCamp. Triggers on keywords like "timecamp", "time entries", "timer", "tracking", "hours", "timesheet", "tasks list", "start timer", "stop timer", "activities", "computer activities".
cost-aware-llm-pipeline
by shimo4228
"Use when building an LLM-powered app that needs cost control via model routing, budget tracking, retry, and prompt caching."
bench-new-skill
by 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.
backend-model-creation
by Workshop-Ventures
Create a new Mongoose model with proper typing, utilities, and patterns. Use when asked to "create a model", "add a data model", "create a schema", or "add a new entity".
experimenting-edge
by Git-Fg
"Optimizes AI models for edge deployment through quantization, lazy loading, and memory management. Use when deploying models to resource-constrained environments, mobile devices, or edge computing scenarios. Do not use for cloud deployment, model training, or data preprocessing."
css-fundamentals
by pluginagentmarketplace
CSS fundamentals - selectors, specificity, box model, positioning, units
ml-reviewer
by physics91
WHEN: Machine Learning/Deep Learning code review, PyTorch/TensorFlow patterns, Model training optimization, MLOps checks WHAT: Model architecture review + Training patterns + Data pipeline checks + GPU optimization + Experiment tracking WHEN NOT: Data analysis only → python-data-reviewer, General Python → python-reviewer
raydata
by SerendipityOneInc
Write, test, deploy, and troubleshoot Ray Data jobs for large-scale data processing with GPU/CPU coordination
data-architecture
by pluginagentmarketplace
Design data architectures with modeling, pipelines, and governance
fundamentals
by pluginagentmarketplace
TypeScript type system fundamentals and basic typing patterns
mongodb-aggregation-pipeline
by 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.
code-analyzer
by sxg
Analyze GitHub repository to extract methodology and generate the Methods section. Fourth step of writer workflow. Requires scope.md and cloned code/ repository.
codex
by abpai
Run Codex CLI for code analysis and automated edits. Use when users ask to run codex exec/codex resume, continue a prior Codex session, or delegate software engineering work to OpenAI Codex.
together-api
by 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.
image-gen
by 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.
train-robot-loop
by 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.
skill-marketplace
by williamwg2025
技能市场，发现、安装、管理 OpenClaw 技能。支持评分、评论、排行榜。
tinybrain
by 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.
wandb-experiment-memory
by 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.
alliance-ml
by ayushnangia
"Guide for running ML/AI workloads on Alliance Canada (formerly Compute Canada) HPC clusters. Use this skill whenever the user mentions Alliance Canada, Compute Canada, Narval, Cedar, Graham, Trillium, Niagara, Fir, Nibi, Rorqual, Killarney, Slurm job submission on Canadian clusters, sbatch for ML training, GPU jobs on HPC, virtualenv on clusters, or anything related to running deep learning on shared computing infrastructure. Also use when the user asks about CUDA on clusters, distributed training with DeepSpeed/PyTorch DDP on Slurm, managing datasets on parallel filesystems, HuggingFace on HPC, Apache Arrow or Parquet on clusters, ML best practices for shared computing, Apptainer, Singularity, containers on HPC, vLLM, inference serving on HPC, or LLM inference on clusters."
ecommerce-images
by 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。
strict-json-output-hardening
by 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.
grant-thinking-cn-biology
by 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).
senior-data-engineer
by 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.