MLOps
模型部署、评估与运维
capa-officer
ovachiever
Senior CAPA Officer specialist for managing Corrective and Preventive Actions within Quality Management Systems. Provides CAPA process management, root cause analysis, effectiveness verification, and continuous improvement coordination. Use for CAPA investigations, corrective action planning, preventive action implementation, and CAPA system optimization.
clip
ovachiever
OpenAI's model connecting vision and language. Enables zero-shot image classification, image-text matching, and cross-modal retrieval. Trained on 400M image-text pairs. Use for image search, content moderation, or vision-language tasks without fine-tuning. Best for general-purpose image understanding.
mlflow
G1Joshi
MLflow ML lifecycle management. Use for ML experiment tracking.
weights-biases
G1Joshi
Weights & Biases ML experiment tracking. Use for ML monitoring.
mistral
G1Joshi
Mistral AI efficient open models. Use for efficient AI.
xgboost
G1Joshi
XGBoost gradient boosting library. Use for tabular ML.
openagent-embedding-resources
BANG404
Use for the bundled embedding model, provenance, versioned resource installation, checksum verification, packaging, or resource repair behavior.
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).
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.
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.