ML Ops
Machine learning operations
apple-foundation-models
by jakerains
Build Apple Intelligence features with Foundation Models and Image Playground on iOS, iPadOS, macOS, and visionOS. Use when implementing or debugging SystemLanguageModel, LanguageModelSession, guided generation with @Generable, tool calling, custom adapters, model availability checks, context-window limits, local on-device inference, routing to larger-model paths (App Intents Use Model or custom backend fallback), and ImagePlayground or ImageCreator APIs.
load-topology
by nicholasf
Read the local system topology to discover available machines and models. Triggers on "load topology", "what models are available", "which machines are running", "start a model", "show me the topology", "sync topology", "refresh topology", "benchmark llm", "benchmark model", "test llm", "run benchmark", "help", "show help", "list subcommands".
transcript-pipeline
by PrakharMNNIT
This skill should be used when the user asks to "process this transcript", "convert lecture to notes", "run transcript pipeline", "generate class tutorial from Zoom captions", "validate transcript coverage", or "enrich class resources" (Notion/Canva/Drive links) for bootcamp notes.
@tank/opencode-agent-creator
by tankpkg
Create specialized OpenCode agents that assume specific roles — frontend architect, DevOps SRE, database specialist, code reviewer, or any domain expert. Covers agent anatomy (markdown and JSON formats), role design (persona, expertise, behavioral directives), system prompt engineering, tool permissions, oh-my-opencode integration (categories, skill injection, delegation wiring), and converting existing Tank skills into standalone agents. Synthesizes OpenCode source (sst/opencode), oh-my-opencode v3.x agent system, and production agent analysis. Trigger phrases: "create agent", "opencode agent", "new agent", "convert skill to agent", "make an agent", "agent from skill", "custom agent", "specialized agent", "agent template", "agent for", "agent configuration", "agent role", "create a specialist", "build agent", ".opencode/agent"
backend-principle-eng-python-ml-pro-max
by PrakharMNNIT
"Principal backend engineering intelligence for Python AI/ML systems. Actions: plan, design, build, implement, review, fix, optimize, refactor, debug, secure, scale ML services and pipelines. Focus: data quality, reproducibility, reliability, performance, security, observability, model evaluation, MLOps."
eld-debug
by CAPHTECH
ELD的デバッグ手法 - 法則（Law）視点でバグを分析・修正する。 バグを「法則からの逸脱」として捉え、証拠ループで系統的に解決する。 トリガー条件: - 「ELDでデバッグして」「法則視点でバグを調査して」 - 「証拠ベースでバグ修正して」「デバッグを体系的に進めて」 - バグ修正、障害調査、根本原因分析
langchain-chat-models
by evanfang0054
使用 LangChain 中的聊天模型集成指南，包括 OpenAI、Anthropic、Google、Azure 和 Bedrock
eld-model-law-card
by CAPHTECH
Deprecated: /eld-spec-card law を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-card law に転送されます。
langchain-structured-output
by evanfang0054
使用 Zod 模式、类型安全响应和自动验证从 LangChain 代理和模型获取结构化的验证输出
sam3
by jakerains
Create and work with Meta SAM 3 (facebookresearch/sam3) for open-vocabulary image and video segmentation with text, point, box, and mask prompts. Use when setting up SAM3 environments, requesting Hugging Face checkpoint access, generating inference scripts, integrating SAM3 into Python apps, fine-tuning with sam3/train configs, running SA-Co or custom evaluations, or debugging CUDA/checkpoint/prompt pipeline issues.
@tank/opencode-config-mastery
by tankpkg
Expert OpenCode configuration for any project. Covers opencode.json schema, MCP server setup (local STDIO, remote HTTP, OAuth), provider and model configuration (75+ providers, custom/local models), plugin management (oh-my-opencode, morph, wakatime), agent wiring in config, custom slash commands, rules/instructions files, keybinds, permission system, and security best practices for MCP servers. Includes trusted MCP server catalog and context budget management strategies. Synthesizes OpenCode source (sst/opencode), official docs, MCP specification, OWASP MCP security guidelines, and community ecosystem analysis. Trigger phrases: "opencode.json", "opencode config", "configure opencode", "MCP server", "mcp setup", "add mcp", "mcp config", "mcp oauth", "opencode provider", "add provider", "custom provider", "local model", "ollama opencode", "LM Studio", "opencode plugin", "oh-my-opencode", "opencode permission", "permission config", "bash permission", "slash command", "custom command", "opencode command", ".opencode", "instructions file", "rules file", "AGENTS.md", ".cursorrules", "opencode keybind", "keybinds", "context budget", "too many tools", "MCP security", "tool poisoning", "opencode setup", "configure model", "small_model", "enabled_providers", "disabled_providers", "opencode agent config", "watcher ignore", "opencode share", "opencode theme", "opencode lsp", "opencode formatter", "variable substitution", "{env:}", "{file:}", "/connect", "auth.json", "mcp-auth.json"
eld-model-term-card
by CAPHTECH
Deprecated: /eld-spec-card term を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-card term に転送されます。
eld-model-link-map
by CAPHTECH
Deprecated: /eld-spec-link を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-link に転送されます。
worktree
by HikaruEgashira
Planが承認/完了した直後に自律的に呼び出す必要があるスキルです。 Trigger: plan approved, plan completed, taskを開始します
eld-model-law-discovery
by CAPHTECH
Deprecated: /eld-spec-discover を使用してください。 このスキルは後方互換のためのエイリアスです。すべての呼び出しは /eld-spec-discover に転送されます。
gcp-batch-inference
by viktor-ferenczi
Running batch inference on Google Cloud (also known as Vertex AI)
onnx-webgpu-converter
by jakerains
Convert HuggingFace transformer models to ONNX format for browser inference with Transformers.js and WebGPU. Use when given a HuggingFace model link to convert to ONNX, when setting up optimum-cli for ONNX export, when quantizing models (fp16, q8, q4) for web deployment, when configuring Transformers.js with WebGPU acceleration, or when troubleshooting ONNX conversion errors. Triggers on mentions of ONNX conversion, Transformers.js, WebGPU inference, optimum export, model quantization for browser, or running ML models in the browser.
Model Serving Skill
by vivekgana
Model Serving Documentation
run-claude
by LostAbaddon
向助手发出协助请求，适用于需要在隔离的独立环境中执行复杂编程任务、任务规划、文稿撰写的场景。
delta-live-tables
by vivekgana
Delta Live Tables (DLT) pipeline patterns and examples for building declarative, self-healing data pipelines with automatic quality enforcement and lineage tracking.
transformation-workflow
by hummbl-dev
Practical application guide for HUMMBL's 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes when to use each transformation, combination patterns, analysis templates, output formats, real-world examples, and common pitfalls. Essential for applying mental models effectively in problem-solving and analysis.
run-gemini
by LostAbaddon
向助手发出协助请求，适用于长文阅读理解、网络搜索、网页读取、文章翻译、网页与前端界面制作等任务场景。
ML Monitoring Skill
by vivekgana
Lakehouse Monitoring
hummbl-framework
by hummbl-dev
Complete HUMMBL Base120 mental models framework with all 120 models across 6 transformations (Perspective, Inversion, Composition, Decomposition, Recursion, Meta-Systems). Includes model selection guidance, application methodology, and validation checklist. Version 1.0-beta definitive reference.