ML Ops
Machine learning operations
visionos-design-guidelines
by ehmo
Apple Human Interface Guidelines for Apple Vision Pro. Use when building spatial computing apps, implementing eye/hand input, or designing immersive experiences. Triggers on tasks involving visionOS, RealityKit, spatial UI, or mixed reality.
cosmosdb-best-practices
by AzureCosmosDB
Azure Cosmos DB performance optimization and best practices guidelines for NoSQL, partitioning, queries, and SDK usage. Use when writing, reviewing, or refactoring code that interacts with Azure Cosmos DB, designing data models, optimizing queries, or implementing high-performance database operations.
business-model-canvas
by flpbalada
Design and analyze business models using the Business Model Canvas framework.
business-model-canvas
by melodic-software
Business model design using Osterwalder's Business Model Canvas and Lean Canvas. Creates 9-block canvases with structured analysis for business model innovation and startup validation.
local-llm-router
by hoodini
Route AI coding queries to local LLMs in air-gapped networks. Integrates Serena MCP for semantic code understanding. Use when working offline, with local models (Ollama, LM Studio, Jan, OpenWebUI), or in secure/closed environments. Triggers on local LLM, Ollama, LM Studio, Jan, air-gapped, offline AI, Serena, local inference, closed network, model routing, defense network, secure coding.
causal-inference-root-cause
by lyndonkl
Use when investigating why something happened and need to distinguish correlation from causation, identify root causes vs symptoms, test competing hypotheses, control for confounding variables, or design experiments to validate causal claims. Invoke when debugging systems, analyzing failures, researching health outcomes, evaluating policy impacts, or when user mentions root cause, causal chain, confounding, spurious correlation, or asks "why did this really happen?"
dspy-bootstrap-fewshot
by 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.
openai-security-threat-model
by trailofbits
Repository-grounded threat modeling that enumerates trust boundaries, assets, attacker capabilities,
Cron Manager Skill
by aAAaqwq
Telegram æ¨é: ~/clawd/skills/telegram-push/telegram-push.sh
mlflow-onboarding
by mlflow
Onboards users to MLflow by determining their use case (GenAI agents/apps or traditional ML/deep learning) and guiding them through relevant quickstart tutorials and initial integration. If an experiment ID is available, it should be supplied as input to help determine the use case. Use when the user asks to get started with MLflow, set up tracking, add observability, or integrate MLflow into their project. Triggers on "get started with MLflow", "set up MLflow", "onboard to MLflow", "add MLflow to my project", "how do I use MLflow".
AgentDB Learning Plugins
by Microck
"Create and train AI learning plugins with AgentDB's 9 reinforcement learning algorithms. Includes Decision Transformer, Q-Learning, SARSA, Actor-Critic, and more. Use when building self-learning agents, implementing RL, or optimizing agent behavior through experience."
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]".
gitlab-webhooks
by hookdeck
Receive and verify GitLab webhooks. Use when setting up GitLab webhook handlers, debugging token verification, or handling repository events like push, merge_request, issue, pipeline, or release.
deepchem
by jimmc414
"Molecular machine learning toolkit. Property prediction (ADMET, toxicity), GNNs (GCN, MPNN), MoleculeNet benchmarks, pretrained models, featurization, for drug discovery ML."
geniml
by jimmc414
This skill should be used when working with genomic interval data (BED files) for machine learning tasks. Use for training region embeddings (Region2Vec, BEDspace), single-cell ATAC-seq analysis (scEmbed), building consensus peaks (universes), or any ML-based analysis of genomic regions. Applies to BED file collections, scATAC-seq data, chromatin accessibility datasets, and region-based genomic feature learning.
codex-subagent
by am-will
Spawn Codex subagents via background shell to offload context-heavy work. Use for: deep research (3+ searches), codebase exploration (8+ files), multi-step workflows, exploratory tasks, long-running operations, documentation generation, or any other task where the intermediate steps will use large numbers of tokens.
mcp-chaining
by parcadei
Research-to-implement pipeline chaining 5 MCP tools with graceful degradation
stanford-vibe-coding-course
by z1993
斯坦福 CS146S "The Modern Software Developer" AI开发课程学习系统。Use when: 用户提到 cs146s, stanford课程, vibe coding, AI开发学习, 或"开始学习"。
piper-tts-training
by sammcj
Train custom TTS voices for Piper (ONNX format) using fine-tuning or from-scratch approaches. Use when creating new synthetic voices, fine-tuning existing Piper checkpoints, preparing audio datasets for TTS training, or deploying voice models to devices like Raspberry Pi or Home Assistant. Covers dataset preparation, Whisper-based validation, training configuration, and ONNX export.
invokeai-image-gen
by sammcj
Generate images using InvokeAI's local API. Use when asked to generate, create, or make images with InvokeAI, FLUX.2 Klein, Z-Image Turbo, FLUX, or SDXL models. Supports text-to-image generation, automatic model detection, image download, and parameter selection based on model architecture.
charlie
by EveryInc
Your AI CFO for bootstrapped startups, named after Charlie Munger who embodied the principle that capital discipline is a competitive advantage. Provides financial frameworks for cash management, runway calculations, unit economics (LTV:CAC), capital allocation, hiring ROI, burn rate analysis, working capital optimization, and forecasting. Use for questions like "should we make this hire?", "how much runway do we need?", "what metrics should I track?", "how do I forecast revenue?", or any strategic financial decision at a self-funded company.
plot-points-analyzer
by GongLingRui
分析故事情节点，识别关键情节与转折点。适用于深度分析情节结构、评估情节发展有效性
olore-codex-latest
by olorehq
Local Codex documentation reference (latest). Use when asked about Codex CLI features, configuration, skills, slash commands, AGENTS.md, MCP integration, or rules.
openai-jupyter-notebook
by trailofbits
Use when the user asks to create, scaffold, or edit Jupyter notebooks (.ipynb) for experiments,