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Found 1,323 Skills
Expert in building Retrieval-Augmented Generation systems. Masters embedding models, vector databases, chunking strategies, and retrieval optimization for LLM applications. Use when: building RAG, vector search, embeddings, semantic search, document retrieval.
Retrieval-Augmented Generation - chunking strategies, embedding, vector search, hybrid retrieval, reranking, query transformation. Use when building RAG pipelines, knowledge bases, or context-augmented applications.
FORGE Vector Memory — Diagnostic tool for the vector memory index. Operations: sync, search, status, reset. Usage: /forge-memory sync | /forge-memory search "query" | /forge-memory status | /forge-memory reset
Build complete document knowledge bases with PDF text extraction, OCR for scanned documents, vector embeddings, and semantic search. Use this for creating searchable document libraries from folders of PDFs, technical standards, or any document collection.
Extracts frames at regular intervals from dashcam videos to create compact visual summaries of vehicle movement and location changes. This skill should be used when users need motion trajectory analysis, want to optimize dashcam storage by 90%+, need quick visual review of hours of footage, or want to create visual timelines of trips.
Semantic search for Marp presentations using vector embeddings. Use when finding relevant slides by topic, retrieving slide content, or exploring presentation materials. Triggers on "find slides about...", "search presentations for...", "get slide content", "what slides cover...", or any Marp/presentation search query.
Create professional SVG graphics powered by Gemini 3.1 Pro via the Gemini MCP server. Generates logos, icons, illustrations, infographics, patterns, animated SVGs, and UI elements with a dual-model refinement loop (Claude orchestrates + Gemini generates). Gemini 3.1 Pro has SOTA animated SVG capabilities and advanced reasoning. Use this skill when the user asks to: create an SVG, design a logo, make an icon, draw an illustration, create an infographic, design a pattern, make an animated SVG, generate vector graphics, create SVG art, or any request involving SVG creation or generation. Also triggers on: 'generate SVG', 'draw me', 'design graphic', 'create vector', 'SVG illustration', 'SVG icon', 'SVG animation', 'create badge', 'design emblem', 'make a diagram'.
Semantic and multi-modal search across documents using LanceDB vector embeddings. Use when searching knowledge bases, finding information semantically, ingesting documents for RAG, or performing vector similarity search. Triggers on "search documents", "semantic search", "find in knowledge base", "vector search", "index documents", "LanceDB", or RAG/embedding operations.
Creates a new album with the correct directory structure and templates. Use IMMEDIATELY when the user says 'make a new album' or similar, before any discussion.
Organize and synchronize session directory structure based on project architecture
This skill should be used when building data processing pipelines with CocoIndex v1, a Python library for incremental data transformation. Use when the task involves processing files/data into databases, creating vector embeddings, building knowledge graphs, ETL workflows, or any data pipeline requiring automatic change detection and incremental updates. CocoIndex v1 is Python-native (supports any Python types), has no DSL, and is currently under pre-release (version 1.0.0a1 or later).
Scaffold, status-check, and manage specification directories. Handles auto-incrementing IDs, README tracking, phase transitions, and decision logging in docs/specs/. Used by both specify and implement workflows.