- Home
- /
- Categories
- /
- ML Ops
ML Ops
Machine learning operations
fuel-distribution
by kishorkukreja
When the user wants to optimize retail fuel distribution, manage gasoline and diesel delivery, or plan petroleum product logistics. Also use when the user mentions "gas station supply," "fuel delivery routing," "petroleum retail," "tank truck scheduling," "fuel terminal operations," "wholesale fuel distribution," or "retail fuel network." For upstream, see drilling-logistics. For midstream, see energy-logistics.
video-prompting
by Square-Zero-Labs
Draft and refine prompts for video generation models (text-to-video and image-to-video). Use when a user asks for a "video prompt" or a model-specific prompt such as Ovi, Sora, Veo 3, Wan 2.2, or LTX-2, including requests like "text-to-video prompt", "image-to-video prompt", or "write a prompt for [model]".
form-object-patterns
by ThibautBaissac
Creates form objects for complex form handling with TDD. Use when building multi-model forms, search forms, wizard forms, or when user mentions form objects, complex forms, virtual models, or non-persisted forms.
rails-model-generator
by ThibautBaissac
Creates Rails models using TDD approach - spec first, then migration, then model. Use when creating new models, adding model validations, defining associations, or setting up database tables.
celltypist-cell-annotation
by jaechang-hits
"Automated cell type annotation for scRNA-seq data using pre-trained logistic regression models. CellTypist ships 45+ models covering immune cells, gut, lung, brain, fetal tissues, and cancer microenvironments. Inputs a normalized AnnData; outputs per-cell predicted labels, majority-vote cluster labels, and confidence scores. Use when you want fast, reproducible, reference-model-backed annotation without manual marker inspection."
research
by tavily-ai
"Comprehensive research grounded in web data with explicit citations. Use when you need multi-source synthesis—comparisons, current events, market analysis, detailed reports. "
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.
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.
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.
surf
by w-winter
Control Chrome browser via CLI for testing, automation, and debugging. Use when the user needs browser automation, screenshots, form filling, page inspection, network/CPU emulation, DevTools streaming, or AI queries via ChatGPT/Gemini/Perplexity/Grok/AI Studio.
threat-model-generation
by Factory-AI
Generate a STRIDE-based security threat model for a repository. Use when setting up security monitoring, after architecture changes, or for security audits.
gitlab-skill
by Jamie-BitFlight
GitLab CI/CD pipeline configuration and GLFM documentation expertise. Use when modifying .gitlab-ci.yml, optimizing pipelines, testing with gitlab-ci-local, writing GitLab README/Wiki content, configuring Docker-in-Docker workflows, or implementing CI Steps composition.
development-harness
by Jamie-BitFlight
Language-agnostic development process orchestrator implementing SAM 7-stage pipeline with Voltron composition. Detects project language, resolves specialist roles from language plugin manifests, and orchestrates discovery through verification. Use when starting feature development, planning implementations, or running the full development workflow.
proposal-generation
by JoelLewis
"Investment proposal generation: risk profiling output, model portfolio recommendation, fee illustration, scenario projections, compliance review, and proposal delivery for advisory practices."
gemini
by softaworks
Use when the user asks to run Gemini CLI for code review, plan review, or big context (>200k) processing. Ideal for comprehensive analysis requiring large context windows. Uses Gemini 3 Pro by default for state-of-the-art reasoning and coding.
feedback-mastery
by softaworks
Navigate difficult conversations and deliver constructive feedback using structured frameworks. Covers the Preparation-Delivery-Follow-up model and Situation-Behavior-Impact (SBI) feedback technique. Use when preparing for difficult conversations, giving feedback, or managing conflicts.
ai-models
by alinaqi
Latest AI models reference - Claude, OpenAI, Gemini, Eleven Labs, Replicate
opencode-config
by serejaris
Use when configuring OpenCode CLI - changing default model, adding providers, setting baseURL, or troubleshooting model selection issues
appfactory-builder
by NeverSight
Build and deploy production apps using AppFactory's 7 pipelines (websites, mobile, dApps, AI agents, plugins, mini apps, bots). One prompt → live URL.
appfactory-builder
by NeverSight
Build and deploy production apps using AppFactory's 7 pipelines (websites, mobile, dApps, AI agents, plugins, mini apps, bots). One prompt → live URL.
megaeth-developer
by NeverSight
End-to-end MegaETH development playbook (Feb 2026). Covers wallet operations, token swaps (Kyber Network), eth_sendRawTransactionSync (EIP-7966) for instant receipts, JSON-RPC batching, real-time mini-block subscriptions, storage-aware contract patterns (Solady RedBlackTreeLib), MegaEVM gas model, WebSocket keepalive, bridging from Ethereum, and debugging with mega-evme. Use when building on MegaETH, managing wallets, sending transactions, or deploying contracts.
mcp-code-execution
by laurigates
Design and scaffold the code execution pattern for MCP-based agent systems. Use when building agents that interact with many MCP tools, when intermediate data is too large for model context, when you need loops/conditionals across tool calls, or when PII must stay out of the model context. Based on Anthropic's engineering guidance.
jupyter
by OpenHands
Read, modify, execute, and convert Jupyter notebooks programmatically. Use when working with .ipynb files for data science workflows, including editing cells, clearing outputs, or converting to other formats.
codex
by softaworks
Use when the user asks to run Codex CLI (codex exec, codex resume) or references OpenAI Codex for code analysis, refactoring, or automated editing. Uses GPT-5.2 by default for state-of-the-art software engineering.