Loading...
Loading...
Found 1,654 Skills
Semantic search using embeddings and vector storage. Search documents semantically using similarity matching.
Curated documentation reference for developers building with Pinecone. Contains links to official docs organized by topic and data format references. Use when writing Pinecone code, looking up API parameters, or needing the correct format for vectors or records.
Install, configure, and manage Grafana Alloy collector fleets using Fleet Management and remote configuration pipelines. Use when the user asks to configure Alloy, manage collector pipelines, deploy remote configurations, troubleshoot collector health, work with OpAMP, set up pipeline matchers, or manage collector attributes. Triggers on phrases like "configure Alloy", "fleet management", "remote configuration", "collector pipeline", "OpAMP", "pipeline matcher", "collector attributes", "deploy pipeline", "collector is unhealthy", or "Alloy pipeline YAML".
Records research provenance as a post-task epilogue, scanning conversation history at the end of a coding or research session to extract decisions, experiments, dead ends, claims, heuristics, and pivots, and writing them into the ara/ directory with user-vs-AI provenance tags. Use as a session epilogue — never during execution — to maintain a faithful, auditable trace of how a research project actually evolved.
Build production RAG systems with semantic chunking, incremental indexing, and filtered retrieval. Use when implementing document ingestion pipelines, vector search with Qdrant, or context-aware retrieval. Covers chunking strategies, change detection, payload indexing, and context expansion. NOT when doing simple similarity search without production requirements.
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.
Quickly generate a single polished logo for any brand — fast, focused, single output with clean vector aesthetic and accurate brand name text.
Salesforce Data Cloud Retrieve phase. Use this skill when the user runs Data Cloud SQL, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. TRIGGER when: user runs Data Cloud SQL, describe, async queries, vector search, search-index workflows, or metadata introspection for Data Cloud objects. DO NOT TRIGGER when: the task is standard CRM SOQL (use querying-soql), segment creation or calculated insight design (use segmenting-datacloud), or STDM/session tracing/parquet analysis (use observing-agentforce).
Optimize MATLAB code for better performance through vectorization, memory management, and profiling. Use when user requests optimization, mentions slow code, performance issues, speed improvements, or asks to make code faster or more efficient.
Connect to Postgres databases, run SQL and diagnostics, inspect schemas and migrations, review query performance, and use common PostGIS or pgvector patterns.
Maps multi-phase trajectories with dependencies into clear, sequenced roadmaps. Use when work has multiple phases that need sequencing, when decisions today affect future decisions, when stakeholders need to see the whole journey, or when external dependencies exist. Applicable regardless of total duration — a 4-week multi-phase initiative benefits as much as a quarterly roadmap.
DINO (DETR with Improved DeNoising Anchor Boxes) for 2D object detection. Transformer-based detector with denoising training, multi-scale features, and optional distillation support. Use when training, evaluating, exporting, distilling, quantizing, or running inference for a TAO DINO detector. Trigger phrases include "train DINO", "DETR object detection", "TAO 2D detection", "DINO with distillation".