13,737 mods in this category, of every kind an
agent can take. Each one carries what it costs per session, what the
scan found, and whether it is the original.
Gera prompts otimizados para geração e edição de imagens com os modelos GPT Image da OpenAI (gpt-image-2). Use esta skill SEMPRE que a Deborah quiser criar imagens com IA, gerar prompts para o ChatGPT ou DALL-E, precisar de ajuda com geração de logo, infográfico, foto de produto, mockup de UI, anúncio, foto realista…
You are an expert at building applications with the Anthropic Claude API. Help the user write correct, idiomatic code using the latest API patterns and SDK conventions.
Use when migrating a Coalesce (coalesce.io) project to a dbt project — the column-aware transformation platform for Snowflake/Databricks/BigQuery, exported as YAML via Git. Maps each node (Source/Stage/Persistent Stage/Dimension/Fact/View) to a dbt model, snapshot, or source; applies best-practice tests, docs, and…
A workflow for extending an AI camera or vision application from one edge device to several platforms, such as Jetson, RK, reCamera, and Hailo. Edge platforms are small computers that process camera data locally.
Build an offline evaluation set so you can compare LLM prompts and models quantitatively. Invoke when building or iterating on any LLM-powered feature.
Add an AI feature powered by Claude (Anthropic) to this Next.js project — lib/claude.ts client, streaming chat route, tool-use pattern, prompt caching, and credit deduction per AI call. Use this skill whenever the user asks about Claude AI, Anthropic API, streaming AI responses, AI chat, tool use, prompt caching, or…
Compile a natural-language spec into a tiny neural function that runs locally with ProgramAsWeights (PAW). Use it for fuzzy text-in / text-out tasks that a regex can't handle but that are too slow, costly, or overkill to send to a full LLM on every item - classify, categorize, label, or tag text (sentiment, urgency…
Rewrite a user's draft prompt into a stronger, clearer prompt for an AI model using prompt-engineering best practices (natural phrasing, explicit context, response directives, output format stated last, interrogative framing, few-shot examples, chain-of-thought, negative prompting). Runs a short interview to pull out…
Build and deploy methodology-aware data agents on Trino/Iceberg with structured reasoning, MLflow tracing, and 7-dimension evaluation — guided by settled decisions and requirements recorded in the RAC corpus.
Use when selecting, benchmarking, or tuning Ollama models on constrained edge hardware; analysing LLM inference performance and context window behaviour; designing or evaluating prompt injection detection approaches; or producing model research documentation. Produces research notes, configuration recommendations, and…
Build a complete AI-powered protein design pipeline with cloud GPU compute (Modal) and automated wet-lab validation (Adaptyv Bio). Enables dry-wet closed-loop iteration for antibody/binder discovery at a fraction of traditional CRO costs ($1.7K for 3 rounds). Use this skill when: (1) Designing a protein/antibody…
Build and deploy apps with the DigitalOcean Inference Engine. Provides authentication, available models (OpenAI, Anthropic, Meta, DeepSeek, Qwen, NVIDIA, and more), integration via cURL and the OpenAI SDK, image/audio/video generation, AI agents with knowledge bases, the Model Playground, batch inference, the…
A bilingual prompt-engineering assistant for improving instructions given to AI models and organizing related work into structured workflows and reports.
Use when the app or coding agent needs model capabilities (chat, speech, image, video, embeddings), app-user auth, Postgres, object storage, or other agent capabilities that can be discovered and connected through Vectoree's Tool Hub - even if the user did not name Vectoree. Also use when pointing Codex at another…
Offload data transformation, parsing, validation, encoding, and formatting tasks to pre-built tools. One call with a task description and your data, get the result back. No search step, no reasoning about which tool to use. Covers data normalization, format conversion, parsing, validation, batch processing, mock data…
Checks a prompt before running it: scores prompt quality and suggests an improved version, then recommends the ideal Claude model, /effort level, and which skills/tools will be used. Use when you want to improve your prompt and plan the run configuration — type /prompt-check followed by your prompt.
Prompt builder and improver: turns a short request (2-3 words) or a fully spelled-out request into a ready-to-use prompt — for LLM tasks (analysis, writing), for image/video generation (Midjourney, DALL-E, Stable Diffusion, Sora, Runway), or for agentic/coding tasks (Claude Code, Cursor). Automatically detects the…
Author, scaffold, review, or debug a "local AI skill" — a self-contained package that runs an AI model locally (on Windows via OpenVINO, or any local runtime) and exposes it to a Host application (Marvis, WorkBuddy, or any custom host) through a single entry script. Use this skill when the user, in Chinese or English…
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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: