Write, revise, and validate ML/AI research papers in LaTeX. Use for topic-to-paper planning, review papers, empirical papers, verified result backfill, citation audits, and academic prose refinement.
Plan and write a standard DataFlow pipeline from a target and representative JSONL data. Use when a user asks to select DataFlow operators, trace field dependencies, generate runnable pipeline code, or repair a pipeline with schema or field-flow errors.
QAI ModelBuilder. Tools and workflows for conversion, inspection, operator patching, quantization, and inference validation of custom ONNX/PyTorch models on Qualcomm platforms. Use this skill for ONNX/PyTorch-to-QNN or SNPE conversion; route direct .tflite and .pte execution to the matching runtime sub-skill. NOT for…
Inspect or show a local Codex task trajectory, including turns, approximate model steps, assistant messages, reasoning summaries, tool calls, failures, compaction, token usage, and timing. Use when the user asks for a trajectory, execution trace, task timeline, slow-tool analysis, current-task timing distribution…
Set up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch, and dstack services. Use when the user wants GPU profiling, tracing, or monitoring for inference, asks about graphsignal-run or graphsignal.watch(), or asks about CUPTI / Prometheus / OTLP setup.
Manages free AI models from OpenRouter for OpenClaw. Automatically ranks models by quality, configures fallbacks for rate-limit handling, and updates openclaw.json. Use when the user mentions free AI, OpenRouter, model switching, rate limits, or wants to reduce AI costs.
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. Triggers: 'Perforate my model' (start interactive setup), 'debug my perforated model' (debug/optimize existing integration), 'load my perforated model for inference' (deploy trained models), 'export my perforated model'…
Build a RAG (retrieval-augmented generation) pipeline using railtracks. Use when the user wants to ingest documents into a vector store and retrieve relevant passages to answer questions.
Use when writing or editing DataSQRL scripts (.sqrl) for data processing, transformation, aggregation, or serving logic. Use for any pipeline logic implementation. Contains SQRL language spec.
Primary entrypoint for coding agents using CAIRA as reference material to design and build generative AI solutions with Azure AI Foundry, Azure OpenAI-compatible endpoints, agent frameworks, APIs, and frontends tailored to a user's scenario.
GoAI is a Go SDK for AI applications. One unified API across 25+ LLM providers. Inspired by the Vercel AI SDK, adapted to Go idioms (generics, interfaces, channels).
Use for ALL Streamlit tasks: creating, editing, debugging, beautifying, styling, theming, optimizing, or deploying Streamlit apps. Also custom components, st.components.v2, HTML/JS/CSS work. Discovers and loads version-matched reference docs from the user's installed Streamlit (>=1.57). Triggers: streamlit, st.…
A Chinese-language learning assistant for MiniMind, a small language-model project, that records study notes and recognizes common machine-learning terms.
Self-improving prompt optimization using the Karpathy autoresearch pattern. Scans any repo, suggests optimization targets, auto-defines binary eval metrics, and runs an autonomous generate-eval-score-mutate loop to improve prompts over time. Use when the user asks to optimize, improve, or run autoresearch on anything…
A code-search skill for finding information in framework source code using retrieval and grep, a command-line text search tool. It is used when the agent needs to inspect backend framework code.
How to distill a large teacher MLIP into a small student with DistillationStrategy — teacher signals and offline dataset labeling, the teacher loss targets, the on-policy segment loop (propagator, replay buffer, mixed loader), checkpoints and restart, and accuracy/stability evaluation with acceptance thresholds. Use…
Catálogo de 14 patterns obrigatórios para app que integra LLM (Claude/GPT/Gemini) em produção. Use antes de shippar feature LLM pra produção, quando custo da API explode sem explicação, quando user reclama de "respostas demoram demais" ou "trava no meio", ao adicionar tool calling, agentes ou chat persistente. Cobre…
Develop Lakeflow Spark Declarative Pipelines (formerly Delta Live Tables) on Databricks. Use when building batch or streaming data pipelines with Python or SQL. Invoke BEFORE starting implementation.
Kaggle-first end-to-end competition workflow for scored submissions. Use when Codex must run Kaggle or competitive ML workflows through scored submission, including code competitions, validation, metrics, policy-safe public notebook/discussion intel, tabular/text/image modeling, tuning, ensembling/stacking, proactive…
Draft and refine prompts for video generation models (including text-to-video, image/keyframe-to-video, and reference-driven generation), and create character-sheet prompts for image models when the goal is character consistency before image-to-video. Use when a user asks for a "video prompt", a model-specific prompt…
Discover better ways to complete tasks. Proactively search SandBase (the sandbasediscover MCP tool, or sandbase discover in a shell) before writing a scraper, before using a generic web fetch for structured data, before telling the user something is inaccessible, and whenever a task needs a capability you do not have…
An art-design skill for turning character and scene lists into detailed prompts for image-generation tools. It covers visible character details, clothing, locations, objects, camera views, colour, and lighting.
★not rated 179 5mo agoA40 tokens
originalMIT
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: