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Found 905 Skills
Control Ghostty terminal emulator via CLI. Manage windows, tabs, splits, and configuration.
Implements Syncfusion Flutter Barcode Generator (SfBarcodeGenerator) for generating 1D and 2D barcodes in Flutter apps. Use when working with QR codes, Data Matrix, Code128, EAN, UPC, or other machine-readable barcode formats. This skill covers barcode types, customization, sizing, text display, and integration into product labels, ticketing, or inventory systems.
Implements Syncfusion Flutter Cartesian Charts (SfCartesianChart) for a wide range of 2D chart types in Flutter apps. Use when working with line, column, bar, area, spline, scatter, bubble, financial, stacked, or histogram charts. This skill covers axis types (NumericAxis, CategoryAxis, DateTimeAxis), zoom and pan, tooltip, trackball, legend, annotations, technical indicators, trendlines, and chart export.
Implements Syncfusion Flutter Gauge widgets (SfLinearGauge, SfRadialGauge) for data visualization and measurement displays in Flutter apps. Use when building speedometers, progress indicators, KPI dashboards, or radial/linear measurement UIs. This skill covers gauge axes, pointers, ranges, annotations, and customization for both linear and radial gauge types.
INVOKE THIS SKILL when building ANY retrieval-augmented generation (RAG) system. Covers document loaders, RecursiveCharacterTextSplitter, embeddings (OpenAI), and vector stores (Chroma, FAISS, Pinecone).
Detect and review name/content drift in code using `indexion identity audit`, then plan verified renames, moves, folder changes, or splits.
Split text into contextual chunks for RAG/embedding pipelines. Document segmentation and section extraction using window, tfidf, punctuation, or hybrid strategies chosen by intent.
Write-up support for qualitative interview research in sociology. Guides methods and findings drafting with emphasis on argument-driven narrative, not formulaic quote display.
Display project status, active tracks, and next actions
Retrieve and display GitHub Copilot usage metrics for organizations and enterprises using the GitHub CLI and REST API.
Train or fine-tune sentence-transformers models across `SentenceTransformer` (bi-encoder; dense or static embedding model; for retrieval, similarity, clustering, classification, paraphrase mining, dedup, multimodal), `CrossEncoder` (reranker; pair scoring for two-stage retrieval / pair classification), and `SparseEncoder` (SPLADE, sparse embedding model; for learned-sparse retrieval). Covers loss selection, hard-negative mining, evaluators, distillation, LoRA, Matryoshka, and Hugging Face Hub publishing. Use for any sentence-transformers training task.
Subscribe to Trigger.dev task runs in real-time from frontend and backend. Use when building progress indicators, live dashboards, streaming AI/LLM responses, or React components that display task status.