ML Ops
Machine learning operations
realign-meta-framework
by akaszubski
Production-ready Claude Code 2.0 setup for autonomous development
data-ml
by baz-scm
Competence in data analytics and machine learning, enabling developers to build data-driven features and integrate AI/ML capabilities.
AppFactory Builder Skill
by 0xAxiom
Built by @AxiomBot and @meltedmindz. Ship something.
discovery
by joelhooks
"Capture interesting finds to the Vault via Inngest. Triggers when the user shares a URL, repo, or idea with signal words like \"interesting\", \"cool\", \"neat\", \"check this out\", \"look at this\", \"came across\", or when sharing content with minimal context that implies it should be remembered. Also triggers on bare URL drops with no explicit ask. Fires a discovery/noted event and continues the conversation — the pipeline handles everything else."
gateway-diagnose
by joelhooks
"Diagnose gateway failures by reading daemon logs, session transcripts, Redis state, and OTEL telemetry. Full Telegram path triage: daemon process → Redis channel → command queue → pi session → model API → Telegram delivery. Use when: 'gateway broken', 'telegram not working', 'why is gateway down', 'gateway not responding', 'check gateway logs', 'what happened to gateway', 'gateway diagnose', 'gateway errors', 'review gateway logs', 'fallback activated', 'gateway stuck', or any request to understand why the gateway failed. Distinct from the gateway skill (operations) — this skill is diagnostic."
Behavioral Modification
by pjt222
Agent Almanac — a curated reference of executable skills, specialist agents, and teams for AI-assisted development, with interactive visualization
megatron-memory-estimator
by yzlnew
Estimate GPU memory usage for Megatron-based MoE (Mixture of Experts) and dense models. Use when users need to (1) estimate memory from HuggingFace model configs (DeepSeek-V3, Qwen, etc.), (2) plan GPU resource allocation for training, (3) compare different parallelism strategies (TP/PP/EP/CP), (4) determine if a model fits in available GPU memory, or (5) optimize training configurations for memory efficiency.
slime-user
by yzlnew
Guide for using SLIME (LLM post-training framework for RL Scaling). Use when working with SLIME for reinforcement learning training of language models, including setup, configuration, training execution, multi-turn interactions, custom reward models, tool calling scenarios, or troubleshooting SLIME workflows. Covers GRPO, GSPO, PPO, Reinforce++, multi-agent RL, VLM training, FSDP/Megatron backends, SGLang integration, dynamic sampling, and custom generation functions.
evaluator
by SimHacker
Independent assessment without debate context — adversarial loop prevents gaming
leela-ai
by SimHacker
"Manufacturing Intelligence â Leela AI develops MOOLLM for practical use and industrial exploration"
multi-model-meta-analysis
by petekp
Synthesize outputs from multiple AI models into a comprehensive, verified assessment. Use when: (1) User pastes feedback/analysis from multiple LLMs (Claude, GPT, Gemini, etc.) about code or a project, (2) User wants to consolidate model outputs into a single reliable document, (3) User needs conflicting model claims resolved against actual source code. This skill verifies model claims against the codebase, resolves contradictions with evidence, and produces a more reliable assessment than any single model.
mineru-extract
by blessonism
Use the official MinerU (mineru.net) parsing API to convert a URL (HTML pages like WeChat articles, or direct PDF/Office/image links) into clean Markdown + structured outputs. Use when web_fetch/browser can’t access or extracts messy content, and you want higher-fidelity parsing (layout/table/formula/OCR).
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.
automotive-supply-chain
by kishorkukreja
When the user wants to optimize automotive manufacturing supply chains, manage tier suppliers, implement JIT production, or handle automotive-specific logistics. Also use when the user mentions "automotive manufacturing," "OEM supply chain," "tier 1/2/3 suppliers," "sequenced parts delivery," "just-in-time automotive," "vehicle assembly," or "automotive aftermarket." For general manufacturing, see production-scheduling. For lean principles, see lean-manufacturing.
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.
dojo-system
by dojoengine
Create Dojo systems that implement game logic, modify model state, and handle player actions. Use when implementing game mechanics, player commands, or automated logic.
dojo-review
by dojoengine
Review Dojo code for best practices, common mistakes, security issues, and optimization opportunities. Use when auditing models, systems, tests, or preparing for deployment.
dojo-model
by dojoengine
Create Dojo models for storing game state with proper key definitions, trait derivations, and ECS patterns. Use when defining game entities, components, or state structures.
pinecone:mcp
by pinecone-io
Reference for the Pinecone MCP server tools. Documents all available tools - list-indexes, describe-index, describe-index-stats, create-index-for-model, upsert-records, search-records, cascading-search, and rerank-documents. Use when an agent needs to understand what Pinecone MCP tools are available, how to use them, or what parameters they accept.
ba-orchestration
by melodic-software
Multi-technique business analysis orchestration using BABOK. Coordinates 14 techniques across strategic analysis, problem solving, planning, and design into comprehensive analysis packages.
azure-functions
by hainamchung
"Expert patterns for Azure Functions development including isolated worker model, Durable Functions orchestration, cold start optimization, and production patterns. Covers .NET, Python, and Node.js programming models. Use when: azure function, azure functions, durable functions, azure serverless, function app."
skill-from-masters
by GBSOSS
通过真实案例创建高质量skill。先找黄金案例和失败案例，归纳什么有效什么无效，再用理论解释为什么。skill是干活的，要从实践中学习，不是从书本中学习。触发词："帮我创建一个skill"、"我想做一个skill来..."
ai-ml-engineer
by nahisaho
Copilot agent that assists with machine learning model development, training, evaluation, deployment, and MLOps Trigger terms: machine learning, ML, AI, model training, MLOps, model deployment, feature engineering, model evaluation, neural network, deep learning Use when: User requests involve ai ml engineer tasks.
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.