Use when the user wants a real data analysis on a dataset — finding what drives a metric, testing whether a difference is real, building a predictive model, reducing many variables to a few, or interpreting what numbers mean for the business. Trigger phrases include "analyze this data", "what drives X", "is this…
Review and fix Gemini API usage against Google's official best practices. Use when modifying src/core/gemini.ts, adding new API calls, or auditing Gemini integration quality.
Use when the user wants to add a Markdown document to the knowledge base, ingest a whole directory of .md files, or initialize the knowledge base from a Git repo. Triggers on "ingest this doc", "add to knowledge base", "import these markdown files", "set up the knowledge base from this repo" — even when the user…
Develop AI-powered applications using Genkit in Node.js/TypeScript. Use when the user asks about Genkit, AI agents, flows, or tools in JavaScript/TypeScript, or when encountering Genkit errors, validation issues, type errors, or API problems.
A video-prompt writing skill that examines a video or a rough idea and turns it into instructions for an AI video generator. It can describe camera movement, timing, style, consistency between shots, and platform-specific settings.
Generates images and text via reverse-engineered Gemini Web API. Suitable for AI Pro and higher tier subscription users. Supports text generation, image generation from prompts, reference images for vision input, and multi-turn conversations. Use when other skills need image generation backend, or when user requests…
Atlas Cloud API integration skill — quickly call 300+ AI image generation, video generation, audio (TTS, music, speech-to-text), 3D generation, and LLM models through a unified API. Use this skill when the user needs to integrate AI image generation (e.g., Flux, Seedream, DALL-E), AI video generation (e.g., Kling…
Use when authoring, running, submitting, or viewing the NVIDIA Physical AI Data Factory blueprint on Nebius + SkyPilot (no OSMO) — annotate → Cosmos Transfer augment → Cosmos Evaluator gate → re-label → Cosmos Curator + FiftyOne curate → Rerun visualize — implemented as an npa.workflow that composes existing workbench…
Generate and improve prompts using best practices for OpenAI GPT-5 and other LLMs. Apply advanced techniques like chain-of-thought, few-shot prompting, and progressive disclosure.
Index and search code repositories, documentation, research papers, HuggingFace datasets, local folders, Slack workspaces, Google Drive, X (Twitter), and packages with Nia AI. Includes auth bootstrapping, Oracle autonomous research, GitHub live search, Tracer agent, dependency analysis, context sharing, code advisor…
Build game-ready 3D assets with Blender — props, modular kits, terrain, characters with rigs and animation, materials, LODs, collision, glTF export. Use whenever the task involves making, fixing, inspecting or exporting a 3D model, texture, environment piece or character for a game, or when someone says "make a…
Generate synthetic tabular datasets (CSV/JSON) for demos, tests, and dashboards — from a bundled business preset, a natural-language description, or a reference document. Validate generated data against its schema. Use when the user asks for fake/test/sample/demo/dummy data, a synthetic dataset, "rows of…
MLX Swift LM - Run LLMs and VLMs on Apple Silicon using MLX. Covers local inference, streaming, wired memory coordination, tool calling, LoRA fine-tuning, embeddings, and model porting.
A workflow for turning vague or conversational AI image and video requests into prompts suited to particular creative tools. It covers image tools such as Midjourney and DALL-E and video tools such as Sora, Runway, and Kling.
Sample, evaluate, and post-train Inkling and Inkling-Small from Pi. Use when the user mentions Inkling, tml-renderers, TMLv0, thinking effort, Inkling-Small, or Inkling audio/images. Load before writing Inkling training or eval code.
Compress images, long prompts, conversations, and RAG documents locally via Ollama before consuming LLM tokens. Reduces token usage by 80% on images and 85% on text. Use proactively when: the user uploads images, processes long context, works with multiple RAG sources, or when approaching token limits.
Comprehensive AI agent building skill merging Perplexity Computer's skill creation, webserver, and automation capabilities with Claude Code's agent orchestration, MCP server building, RAG system construction, subagent coordination, parallel agent dispatching, prompt optimization, and execution planning. Covers…
Use this skill when LoopAI needs dataset discovery, acquisition, web-page collection, DataMixer lakehouse operations, data processing, indexing, recipe planning, or production training-data export. In long-running Codex SDK loops, when Analyzer produces an analysis report, failure taxonomy, or user request that…
Use when the user wants to analyze their communication style with AI from Claude Code logs — asks for a "prompt warrior" profile, an "AI profile", "wrapped", a psychological portrait of how they prompt, statistics of their sessions/messages, or personalized prompt-engineering recommendations based on their chat…
Overview of all available Pinecone skills and what a user needs to get started. Invoke when a user asks what skills are available, how to get started with Pinecone, or what they need to set up before using any Pinecone skill.
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: