ML Ops
Machine learning operations
eachlabs-video-edit
by eachlabs
Edit, transform, extend, upscale, and enhance videos using EachLabs AI models. Supports lip sync, video translation, subtitle generation, audio merging, style transfer, and video extension. Use when the user wants to edit or transform existing video content.
training-data-curation
by sundial-org
Guidelines for creating high-quality datasets for LLM post-training (SFT/DPO/RLHF). Use when preparing data for fine-tuning, evaluating data quality, or designing data collection strategies.
tinker
by sundial-org
Fine-tune LLMs using the Tinker API. Covers supervised fine-tuning, reinforcement learning, LoRA training, vision-language models, and both high-level Cookbook patterns and low-level API usage.
tinker-training-cost
by sundial-org
Calculate training costs for Tinker fine-tuning jobs. Use when estimating costs for Tinker LLM training, counting tokens in datasets, or comparing Tinker model training prices. Tokenizes datasets using the correct model tokenizer and provides accurate cost estimates.
mcp-memory-gateway
by IgorGanapolsky
The Agentic Feedback Studio & Veto Layer. Persistent agent memory, high-density context packs, and Agentic Guardrails (V2V) for Claude Code, Codex, and Gemini.
AI Core Skill
by markus41
Qdrant Documentation
Perception Pipeline Skill
by markus41
CompreFace
time-series-analyst
by organvm-iv-taxis
Analyzes time-series data for patterns, trends, seasonality, and anomalies, with forecasting using statistical and machine learning methods.
vscode-custom-agents
by aktsmm
"VS Code カスタムエージェントの配置ルール・アクセス制御・マルチエージェント設計のベストプラクティス。Triggers on 'custom agent', 'agent not found', 'subagent', 'user-invokable', 'エージェント設計', 'ピッカー'."
q-educator
by TyrealQ
Course content development skill. Produces lecture outlines, demo outlines, student emails, assignment prompts, and per-group feedback using an interview-driven, projects-first teaching philosophy with domain-specific analogies. Use when developing or iterating on university course materials.
aiconfig-update
by launchdarkly
Update, archive, and delete LaunchDarkly AI Configs and their variations. Use when you need to modify config properties, change model parameters, update instructions or messages, archive unused configs, or permanently remove them.
sdlc-user-deploy
by peterbamuhigire
"Generate User & Deployment documentation for SDLC projects. Covers Software User Manual (SUM), Operations/Deployment Manual, Training Materials, Release Notes, Maintenance Manual, and README File. Use when preparing software for end-users, system administrators, and operations teams who will use, deploy, and maintain the software."
q-topic-finetuning
by TyrealQ
"Fine-tune and consolidate topic modeling outputs (BERTopic, LDA, etc.) into a theory-driven classification framework for academic manuscripts. Use when processing topic modeling results that need topic consolidation, theoretical classification, domain-specific preservation, multi-category handling, data verification, or Excel updates with final labels."
3d-web-experience
by boisenoise
"Expert in building 3D experiences for the web - Three.js, React Three Fiber, Spline, WebGL, and interactive 3D scenes. Covers product configurators, 3D portfolios, immersive websites, and bringing ..."
Economy Faculty — Cognition
by acnlabs
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creating-dbt-models
by AltimateAI
Creates dbt models following project conventions. Use when working with dbt models for: (1) Creating new models (any layer - discovers project's naming conventions first) (2) Task mentions "create", "build", "add", "write", "new", or "implement" with model, table, or SQL (3) Modifying existing model logic, columns, joins, or transformations (4) Implementing a model from schema.yml specs or expected output requirements Discovers project conventions before writing. Runs dbt build (not just compile) to verify.
documenting-dbt-models
by AltimateAI
Documents dbt models and columns in schema.yml. Use when working with dbt documentation for: (1) Adding model descriptions or column definitions to schema.yml (2) Task mentions "document", "describe", "description", "dbt docs", or "schema.yml" (3) Explaining business context, grain, meaning of data, or business rules (4) Preparing dbt docs generate or improving model discoverability Matches existing project documentation style and conventions before writing.
refactoring-dbt-models
by AltimateAI
Safely refactors dbt models with downstream impact analysis. Use when restructuring dbt models for: (1) Task mentions "refactor", "restructure", "extract", "split", "break into", or "reorganize" (2) Extracting CTEs to intermediate models or creating macros (3) Modifying model logic that has downstream consumers (4) Renaming columns, changing types, or reorganizing model dependencies Analyzes all downstream dependencies BEFORE making changes.
model-router
by nguyenthienthanh
"Automatically select optimal Claude model (Haiku/Sonnet/Opus) based on task complexity to reduce costs while maintaining quality."
ci-cd-pipelines
by Logos-Liber
GitHub Actions, GitLab CI/CD, Jenkins, Azure DevOps, build and test strategies, and deployment patterns
chapter3-guide
by orientpine
"Chapter 3 (사업 목표 및 추진 전략) 작성 가이드 - 템플릿 및 요구사항 통합"
Wait — what?
by melodic-software
"Stop — that last message did not land. Re-pitch it: back up as far as needed, add the context that was missing, write in ASD-STE100 Simplified Technical English, and use the project's own ubiquitous language. Type /discipline:wait-what the moment you notice you are skimming; only you know when you stopped following."
industry-pe-ratios
by OctagonAI
Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.
earnings-analyst-questions
by OctagonAI
Identify key themes and concerns raised by analysts during earnings calls, including specific analyst attribution and topic categorization.