MLOps
Operacions d’aprenentatge automàtic
pywayne-cv-camera-model
wangyendt
Camera model wrapper for camera_models C++ library via pybind11. Use when working with pywayne.cv.camera_model module to load camera models from YAML configuration files, access camera properties (model type, image size, parameters), perform projection operations (lift_projective, space_to_plane), and export camera parameters as dictionaries.
dspy-haystack-integration
OmidZamani
This skill should be used when the user asks to "integrate DSPy with Haystack", "optimize Haystack prompts using DSPy", "use DSPy to improve Haystack pipeline", mentions "Haystack pipeline optimization", "combining DSPy and Haystack", "extract DSPy prompt for Haystack", or wants to use DSPy's optimization capabilities to automatically improve prompts in existing Haystack pipelines.
dspy-finetune-bootstrap
OmidZamani
This skill should be used when the user asks to "fine-tune a DSPy model", "distill a program into weights", "use BootstrapFinetune", "create a student model", "reduce inference costs with fine-tuning", mentions "model distillation", "teacher-student training", or wants to deploy a DSPy program as fine-tuned weights for production efficiency.
huggingface-accelerate
ovachiever
Simplest distributed training API. 4 lines to add distributed support to any PyTorch script. Unified API for DeepSpeed/FSDP/Megatron/DDP. Automatic device placement, mixed precision (FP16/BF16/FP8). Interactive config, single launch command. HuggingFace ecosystem standard.
dspy-debugging-observability
OmidZamani
This skill should be used when the user asks to "debug DSPy programs", "trace LLM calls", "monitor production DSPy", "use MLflow with DSPy", mentions "inspect_history", "custom callbacks", "observability", "production monitoring", "cost tracking", or needs to debug, trace, and monitor DSPy applications in development and production.
dspy-bootstrap-fewshot
OmidZamani
This skill should be used when the user asks to "bootstrap few-shot examples", "generate demonstrations", "use BootstrapFewShot", "optimize with limited data", "create training demos automatically", mentions "teacher model for few-shot", "10-50 training examples", or wants automatic demonstration generation for a DSPy program without extensive compute.
model-builder
armanzeroeight
Creates dbt models with proper layering (staging, marts), incremental strategies, and documentation. Use when creating dbt models, organizing data transformations, or implementing incremental models.
openai-whisper
malue-ai
Local speech-to-text with the Whisper CLI (no API key).
llm-fine-tuning-guide
qodex-ai
Master fine-tuning of large language models for specific domains and tasks. Covers data preparation, training techniques, optimization strategies, and evaluation methods. Use when adapting models for specialized applications, reducing inference costs, or improving domain-specific performance.
laravel-policies-and-authorization
noartem
Enforce access via Policies and Gates; use authorize() and authorizeResource() to standardize controller protections
multiplayer-building
Bbeierle12
Networking systems for multiplayer building games. Use when implementing networked construction, delta synchronization, client prediction, or conflict resolution. Server-authoritative model with optimistic client prediction for responsive gameplay.
TensorRT-LLM
openamer
The self-improving, self-learning open-source AI agent. Background Computer-Use, A2A Swarm, Vector Memory, Plugin System, Voice, Smart Approvals - 100/100 Score. Windows-native.
writing-clearly-and-concisely
sebnow
"Use when writing documentation, commit messages, error text, explanations, reports, or summaries. Applies Strunk's principles for clear, vigorous prose. Triggers: writing human-readable content, verbose text, unclear explanations."
Bioinformatics Skills Gateway
openamer
The self-improving, self-learning open-source AI agent. Background Computer-Use, A2A Swarm, Vector Memory, Plugin System, Voice, Smart Approvals - 100/100 Score. Windows-native.
lakehouse-pipeline-design
hubert-dudek
Create a Databricks lakehouse pipeline design doc (bronze/silver/gold, DLT or Jobs), including SLAs, data quality, Unity Catalog governance, monitoring, and an implementation checklist. Use when designing or reviewing ETL/ELT pipelines, DLT pipelines, streaming ingestion, CDC, or batch jobs on Databricks.
case-studies-reference
Bbeierle12
Game building mechanics case studies and decision frameworks. Use when designing building systems, evaluating trade-offs, or learning from existing games. Reference-only skill with detailed analysis of Fortnite, Rust, Valheim, Minecraft, No Man's Sky, and Satisfactory building systems.
PEFT (Parameter-Efficient Fine-Tuning)
openamer
The self-improving, self-learning open-source AI agent. Background Computer-Use, A2A Swarm, Vector Memory, Plugin System, Voice, Smart Approvals - 100/100 Score. Windows-native.
codebase-model
githubnext
"Compile a human-oriented ARCHITECTURE.md into a compact, machine-readable CODEBASE.yml that preserves architectural constraints, boundaries, relationships, generation guidance, and validation commands."
backend-data-model
parhumm
Generate data model docs with tables, constraints, indexes, retention, and migration notes. Use when designing database schemas from entities.
paper-reading
yishuai778
"Read research papers and turn them into clear, decision-oriented notes, comparisons, and implementation takeaways. Use this skill whenever someone wants to read, summarize, analyze, compare, or review papers; build a literature overview; extract methods, datasets, benchmarks, or limitations; judge whether a paper is worth reproducing; or turn papers into actionable notes. Also trigger on requests like '读这篇论文', '帮我总结 paper', '精读这篇', '对比这几篇论文', '做文献综述', '提炼贡献/局限/实验设置', '这篇值不值得复现', or '把论文讲明白'."
summarize
smallnest
Summarize or extract text/transcripts from URLs, podcasts, and local files (great fallback for “transcribe this YouTube/video”).
corbits-system-one
corbitsdev
Use @corbits/system-one for fast typed decisions (choice, score, yes/no) over a JSON state. Load when adding routing, gating, or triage in front of an agent.
gcse-pe-tutor
markpitt
GCSE Physical Education tutor and revision assistant for 15–16 year old students preparing for 2026 exams across AQA, Edexcel, OCR, and WJEC boards. Use when a student asks for help understanding PE topics, answering exam questions, revising anatomy and physiology, practising fitness tests, applying sports psychology, or wants guidance on exam technique for GCSE Physical Education.
minimax-h3-max
RobZombAI
Baseline high-fidelity guide and execution toolkit for MiniMax H3-Max video generation, SGLang miles RL + LoRA SFT training, PDD 6-step/8-step high-fidelity inference, and Apple Silicon Metal 4 NAX native acceleration. Activate whenever the user mentions MiniMax H3, H3-Max, Hailuo 3, SGLang miles, or asks for high-fidelity 6-step/8-step cinematic video generation with synchronized 48 kHz audio.