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Found 1,643 Skills
Use when building features that answer questions from private data, documents, policies, or time-sensitive information — RAG architecture, chunking strategies, hybrid search, re-ranking, vector databases, evaluation, agentic RAG, multimodal RAG...
StartupBase platform help — community-driven startup discovery directory with free dofollow backlinks (DR39). Covers submission process (social auth, tech startups only), review queue (2-3 months free, 24-hour premium), selection criteria (custom domain, public product, never previously featured), weekly Spark newsletter, market categories, and comparison with other directories. Use when your startup needs more visibility and early adopter traffic, you want the DR39 dofollow backlink from StartupBase, your submission keeps getting rejected, or the review queue is taking too long. Do NOT use for multi-directory launch strategy (use /sales-launch-directory). Do NOT use for Product Hunt launches (use /sales-producthunt).
Ingest and normalize market data into OHLCV vectors with HNSW indexing
Create and manage a DDD bounded context with standard directory structure
Open a named, traced browser session into an RVF cognitive container with a ruvector trajectory recording every action
Replay a recorded session trajectory against the same URL or a mutated variant; uses browser-selectors embedding similarity to recover from DOM drift
Professional workflow for creating bespoke vector and complex raster icons. Supports Design (visual), Path (vector-driven), Desire (conceptual), and 3D/complex chroma-key modes. Features AI prompt engineering, automated binarization, improved alpha cleanup, and SVG optimization.
Notion-style team dashboard rendered as a Live Artifact. A single-page, self-contained HTML dashboard with KPIs, a 7-day sparkline, a real-time activity feed and a linked-database task table — wired to Notion via the Composio connector catalog. Refreshes on demand and when the artifact is opened. Falls back to seeded mock data when no connector is bound, so it works offline / in screenshots / in the picker preview.
Professional workflow for creating bespoke vector and complex raster icons. Professional icon design workflow including Design (visual), Path (vector), Desire (conceptual), and 3D chroma-key modes. Features AI prompt engineering, automated binarization, alpha cleanup, and SVG optimization.
Bind the current directory to a MOM project so captured memories are scoped to it. Use when the user wants to set up project scoping, bind a repo, declare a project id, rebind a directory, or asks about .mom-project.yaml.
Build production-ready GenAI agents with stateful workflows, vector memory, deployment, and orchestration using LangGraph and LangChain
Refactor Pandas code to improve maintainability, readability, and performance. Identifies and fixes loops/.iterrows() that should be vectorized, overuse of .apply() where vectorized alternatives exist, chained indexing patterns, inplace=True usage, inefficient dtypes, missing method chaining opportunities, complex filters, merge operations without validation, and SettingWithCopyWarning patterns. Applies Pandas 2.0+ features including PyArrow backend, Copy-on-Write, vectorized operations, method chaining, .query()/.eval(), optimized dtypes, and pipeline patterns.