ML Ops
Machine learning operations
fashion-model-photography
by tara-shopos
Generate professional fashion photography with models wearing products, including pose direction, styling, lighting, and composition for editorial and commercial use. Use for garment shoots, accessory photography, and high-end fashion content.
garment-lifestyle-photography
by tara-shopos
Generate lifestyle photography of garments in real-world contexts with models in natural environments. Use when creating aspirational fashion content, social media imagery, or editorial-style product photography that shows garments in authentic lifestyle settings.
ml-engineer
by jgarrison929
Use when building ML pipelines, training models, deploying to production, implementing feature engineering, MLOps workflows, experiment tracking, model monitoring, or any machine learning engineering task.
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."
umbraco-development
by twofoldtech-dakota
Apply when working with Umbraco CMS, Composers, services, or content APIs
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.
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.
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。
learning-first-principles
by hexbee
"A cognitive framework based on learning first principles, providing learning method diagnosis, efficiency assessment, and optimization advice. Use when: (1) Diagnosing if current learning methods align with first principles, (2) Evaluating learning plan efficiency and time investment, (3) Analyzing learning behavior problems and providing improvement suggestions, (4) Determining if learning content is worth the time investment. Core principle chain: Self-learning → Induction → Self-output → Expression restructuring → Logical understanding → Practice."
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.
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.
cohere-streaming
by RSHVR
Cohere streaming reference for real-time text generation, tool use events, and RAG citations. Covers all stream event types and async streaming patterns.
video-gen
by 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.
V-JEPA 2 Self-Supervised Training
by sovr610
This skill should be used when the user asks to "train V-JEPA model", "implement JEPA pretext task", "set up EMA target encoder", "configure self-supervised training", "implement smooth L1 loss", "create training loop for V-JEPA", "optimizer configuration", "learning rate schedule", "warmup cosine decay", "EMA momentum schedule", "collapse prevention", "predictor architecture", "masked prediction loss", "DROID fine-tuning loop", "annealing phase", "cooldown training", or needs guidance on V-JEPA 2 self-supervised learning, training loops, predictor design, or optimization strategies.
data-science-model-evaluation
by legout
"Model evaluation and validation: cross-validation, metrics, hyperparameter tuning, and model comparison. Use when assessing model performance, selecting models, or diagnosing modeling issues."
Visualization & Interpretability
by sovr610
This skill should be used when the user asks to "visualize activations", "plot spike rasters", "show attention heatmaps", "visualize workspace", "plot reasoning traces", "create t-SNE embeddings", "interpret model decisions", "visualize HTM patterns", "show neuromodulator levels", "plot training curves", "create activation maps", "visualize feature maps", "explain predictions", "debug model behavior visually", or needs guidance on visualization, interpretability, or explainability tooling for the brain_ai system.