MLOps
模型部署、评估与运维
AI Engineer Agent
gajakannan
Opinionated AI‑agent development framework with a reference Insurance CRM implementation.
openrouter
rawwerks
Use this skill when the user wants to call different LLM models through OpenRouter's unified API, compare model responses, track costs and response times, or find the best model for a task. Triggers include requests to test models, benchmark performance, use specific providers (OpenAI, Anthropic, Google, etc.), or optimize for speed/cost.
agent-cost-optimization
arielperez82
Framework for analyzing agent telemetry data to optimize cost, token usage, and model tier selection. Use when tuning agent configurations, reviewing agent costs, selecting model tiers, or interpreting optimization_insights/cost_by_model/agent_usage_summary pipe outputs.
wnba-oracle-corpus-status
cheeksmagunda
Audit the WNBA Oracle training corpus and model artifact. Verifies that the backups branch is current, the live model artifact SHA matches STATUS.md, and the game-log corpus covers the expected date range. Use before a training run, before promoting a new model artifact, or after a production incident to verify corpus integrity. Authoritative stores: Postgres (wnba_game_logs), GitHub backups branch, STATUS.md (artifact SHA pin).
loom-nodejs
link-loom
Develop BACKEND Node.js services, APIs, routes, and models for Link Loom. Handles database interactions, business logic, and server-side operations using loom-sdk.
regen-score-report
simnova
Headless-friendly regenerate → score → report loop for OpenClinXR factory/evidence work. Use for model-vetting, orchestrate_character, garment/skin regen, or any bounded regen-then-measure cycle under OPENCLINXR_WORKER=1.
super-transcribe
ThePlasmak
"Unified speech-to-text skill. Use when the user asks to transcribe audio or video, generate subtitles, identify speakers, translate speech, search transcripts, diarize meetings, or perform any speech-to-text task. Also use when a voice message or audio file appears in chat and the user's intent to transcribe it is very clear."
senior-prompt-engineer
nimeshgurung
World-class prompt engineering skill for LLM optimization, prompt patterns, structured outputs, and AI product development. Expertise in Claude, GPT-4, prompt design patterns, few-shot learning, chain-of-thought, and AI evaluation. Includes RAG optimization, agent design, and LLM system architecture. Use when building AI products, optimizing LLM performance, designing agentic systems, or implementing advanced prompting techniques.
windows
hk-vk
Note: Qwen 3 coder is a 30B parameter model requiring at least 24GB of VRAM to run smoothly. More is required for longer context lengths.
Data Pipeline & Loaders
sovr610
This skill should be used when the user asks to "load a dataset", "create data loaders", "add data augmentation", "preprocess input data", "set up training data", "create validation splits", "register a dataset", "configure data pipeline", "handle multi-modal data loading", "load MNIST/CIFAR/ImageNet", "load event camera data", "load sequence data", "set up few-shot episodes", "create a dataset registry", or needs guidance on data loading, preprocessing, augmentation, or dataset management for the brain_ai 7-phase training pipeline.
ddd
CacaoRick
DDD 領域驅動設計 - 戰略設計。專注於產出 Domain Model 文件，包括識別核心域/支撐域/通用域、拆分 Bounded Context、定義 Ubiquitous Language 與 Context Map。Use when (1) the user asks how to split Bounded Contexts, (2) the user asks to define Ubiquitous Language, (3) the user wants to create a Domain Model document, (4) the project uses DDD architecture and requires strategic design.
ark-embedding
jneless
skill of vole engine ark model platform embedding api
ai-dev-workflow
CacaoRick
由文件串起完整的 AI 開發流程。涵蓋領域建模與程式碼組織（DDD）以及 AI 開發規範設定（Agent 規範）。Use when (1) the user asks to organize code by business features or define naming conventions, (2) creating or updating AGENTS.md / project rule files, (3) starting a new project from scratch, or (4) the agent needs the full development lifecycle.
cohere-typescript-sdk
RSHVR
Cohere TypeScript/JavaScript SDK reference for chat, streaming, embeddings, reranking, and tool use. Use when building Node.js or browser applications with Cohere APIs.
ml-engineering
nludd25
Field-tested methodology and concrete recipes for training and operating large-scale LLM/VLM/multi-modal models end to end - choosing and benchmarking accelerators, storage and network; SLURM/Kubernetes orchestration; maximizing training throughput and fitting models in memory; diagnosing and surviving training instabilities, NaN/Inf, and hardware/job failures; checkpointing and fault tolerance; inference performance and memory; debugging multi-node/ multi-GPU hangs; and writing/running tests. Use when the user is training or fine-tuning large models, hits low TFLOPS/MFU, OOM, slow dataloading, a loss spike/divergence, a NCCL/InfiniBand or multi-node hang, node/GPU failures, checkpoint or preemption problems, storage/network bottlenecks, or needs to pick GPUs/cloud/file-systems or size inference latency/throughput. Distilled from "Machine Learning Engineering", the latest version of which can be found at https://github.com/stas00/ml-engineering The latest SKILL.md version can be found at https://github.com/stas00/ml-engineering/blob/master/SKILL.md
obsidian-knowledge-factory
vviniumeginn-del
Use when users need to clean, atomize, deduplicate, and archive mixed text files into an Obsidian vault using a local Python pipeline with an OpenAI-compatible API, without n8n.
mobile-ci-cd-evolution
Envy-7z
CI/CD optimization workflow for existing mobile pipelines (Android and Flutter) across Bitbucket, GitHub Actions, GitLab, Jenkins, and Fastlane. Use when auditing current CI/CD setup, reducing build time/flakiness, improving release safety, or planning incremental pipeline upgrades without destabilizing delivery.
Evaluation & Benchmarks
sovr610
This skill should be used when the user asks to "evaluate the model", "run benchmarks", "compute metrics", "measure accuracy", "test on MNIST", "compute F1 score", "generate confusion matrix", "evaluate few-shot", "measure anomaly detection", "run cognitive benchmarks", "compare model variants", "create evaluation report", "set up eval harness", or needs guidance on evaluation protocols, metrics computation, benchmark harnesses, or performance reporting for the brain_ai system.
Odoo 18 Development Skills
hellbellies
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analyze-function
carsten-j
Analyze the specified function from the given file with detailed line-by-line breakdown. Use when you need to understand what a function does, how it works, and why it was implemented that way.
status
pmco23
Use at any time to check pipeline state and get next-step guidance. When no pipeline is active, shows available workflow options and paths. No gate — always available.
debate
aroc
Orchestrate a debate between Claude and Codex to reach consensus. Use when the user asks for a "second opinion", "debate", "consensus", "crosscheck", or wants another model to review a proposal or diff.
oss-investment-scorecard
kandadavid36
Evaluate whether an open source project / company is investable by a USD-denominated VC fund in the current AI cycle. ALWAYS use this skill when the user asks any of the following: - "evaluate [project] for investment" - "can we invest in [project]" - "score this open source company" - "投资评估 [项目]" - "这个开源项目值得投吗" - "给 [公司] 打分" - Any request to assess, rate, or rank an open source startup's investability - Any comparison of two or more open source companies from an investment perspective The skill produces a structured 5-dimension weighted scorecard (max 10 pts), a pass/recommend/watch verdict, and an IC-ready one-paragraph thesis. It also flags one-vote-veto conditions that cause an immediate Pass regardless of total score.
triplo-ai-expert
tparrin
Provides comprehensive guidance on installing, configuring, and mastering Triplo AI features (SmartPrompts, Training, Knowledge Bases, Automations, Agents, models, local models, etc.). Triggers whenever user asks how to use, configure, debug, or design workflows in Triplo AI.