ML Ops
Machine learning operations
mistral-hidden-params-ft
by Haruk1y
Run end-to-end fine-tuning for request_text-to-hidden-params JSON prediction with Ministral-3-3B in this repository. Use when rebuilding train/validation/test splits from train-only data, converting data to prompt-completion format, launching TRL SFT on Hugging Face Jobs, validating strict JSON output behavior, merging LoRA adapters into full models, and reporting job/model status with links.
openscad-iterative-modeling
by fboldo
Iteratively generate OpenSCAD (SCAD) code, render PNG previews, visually critique the result, and refine in a tight loop until the model matches. Use when the user asks to create a 3D model, design a part, make a bracket/enclosure/mount, render in OpenSCAD, export STL, or any request that can be expressed as parametric CSG geometry. Requires the OpenSCAD MCP server tools (render_scad_png, export_scad_stl).
laravel-guidelines
by StefanMermans
When dealing with a Laravel project, these guidelines must always be followed.
alkosto-wait-optimizer
by broomva
Estimate optimal waiting time for Alkosto's "every 25/50 customers" promotion using either checkout-flow observations or winner announcement timestamps. Use when the user asks how long to wait, wants a probability-based cutoff, or needs a fast in-store decision rule with uncertainty handling.
veo3-1
by delneg
Generate videos with Google Veo 3.1 via grsai.com API. Use for any video creation, text-to-video, or motion content requests. Triggers on "generate video", "create a clip", "make a video of", "video of", "animate". Supports fast/pro quality tiers; 720p/1080p/4K; 4/6/8-second durations; 16:9 and 9:16 aspect ratios.
cohere-go-sdk
by RSHVR
Cohere Go SDK reference for chat, streaming, embeddings, reranking, and tool use. Use when building Go applications with Cohere APIs.
brief
by pmco23
Use when starting a new feature, project, or task - extracts requirements, constraints, non-goals, style preferences, and key concepts from fuzzy input through conversational Q&A. Output is a structured brief saved to .pipeline/brief.md. Always run this before /design.
ai-engineer
by ncdevshiv
"Build production-ready LLM applications, advanced RAG systems, and
audio-transcribe
by maxgent-ai
Speech-to-text transcription using Whisper with word-level timestamps. Use when users ask to transcribe audio or video to text, generate subtitles, or recognize speech.
oh-my-pi
by 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"
ai-engineering-skill
by odewahn
Practical guide for building production ML systems based on Chip Huyen's AI Engineering book. Use when users ask about model evaluation, deployment strategies, monitoring, data pipelines, feature engineering, cost optimization, or MLOps. Covers metrics, A/B testing, serving patterns, drift detection, and production best practices.
fabric-icons
by AlahmadiQ8
Search and fetch official Microsoft Fabric / Azure SVG icons for use in diagrams, documentation, and UI. Use when building architecture diagrams (HTML, PPTX, or any visual format) that need icons for Fabric concepts like Lakehouse, Data Warehouse, Pipeline, Eventhouse, Power BI, OneLake, Dataflow, Notebook, Semantic Model, KQL Database, and other Fabric items. Also use when the user asks for Microsoft Fabric or Azure data platform icons.
blecsd-3d
by Kadajett
Render 3D graphics in the terminal with @blecsd/3d. Covers software rasterizer, 3D math (vec3/mat4), multiple backends (braille/sixel/kitty), OBJ loading, scene graphs, and camera systems.
z-cheatsheet-add
by AutoFor
z-cheatsheet にエントリを追加する。
senior-computer-vision
by nimeshgurung
World-class computer vision skill for image/video processing, object detection, segmentation, and visual AI systems. Expertise in PyTorch, OpenCV, YOLO, SAM, diffusion models, and vision transformers. Includes 3D vision, video analysis, real-time processing, and production deployment. Use when building vision AI systems, implementing object detection, training custom vision models, or optimizing inference pipelines.
security-review
by pmco23
Use after build is complete to scan for OWASP Top 10 vulnerabilities. Checks injection, authentication, authorization, data exposure, and misconfiguration risks. Requires .pipeline/build.complete.