Skill UI

Suggests relevant GitHub Copilot instructions by comparing awesome-copilot guidance with the local repo context, identifying duplicates, and flagging outdated files.

Suggests relevant GitHub Copilot skills from the awesome-copilot repo that match current repository patterns and chat history, flags duplicates, and highlights outdated local skills for targeted updates.

This guide provides comprehensive guidelines for localizing all aspects of VS Code extensions. It covers best practices for handling configurations (settings, commands, menus), user-facing string resources, and walkthrough content. Developers can use this skill to ensure their extensions are properly adapted and functional for multiple languages.

This skill helps developers accurately find and explore the correct Windows API for specific platform capabilities, such as file access, camera usage, notifications, or UI controls. It searches a comprehensive local cache of WinMD metadata, providing full technical details including methods, properties, events, and enumeration values for APIs sourced from the Windows Platform SDK and WinAppSDK. It is indispensable when building complex features requiring deep integration with the Windows operating system.

This guide provides techniques for conducting effective crime investigations in non-English speaking countries (e.g., Thailand, Malaysia, Latin America). It teaches investigators to move beyond generic English searches by incorporating local language terms, specific regional place names, and local media terminology to find comprehensive and relevant information.

Evolver is a comprehensive self-evolution engine designed for autonomous AI agents. It analyzes complex runtime history, identifies performance bottlenecks, and autonomously generates and applies improvements. Communication is architecturally confined to a local Proxy Mailbox, ensuring secure and reliable interaction with the EvoMap Hub for asset management and task acquisition. Ideal for developing highly adaptive, continuously improving intelligent systems.

Creates safety-bounded draft structures and runs local deterministic checks for clinical case, diagnostic, trial, safety, and aggregate research reports. Use only with synthetic, de-identified, or aggregate inputs and verified source-fact manifests; every output requires qualified review.

Python SDK for Biohub's ESM3 protein generation, ESMC embeddings, and ESMFold2 all-atom folding. Supports local model inference and hosted clients for protein sequence completion, structure prediction, and embedding extraction. Requires Python 3.12+ and isolated environment setup.

Performs bounded local exploratory analysis of supported scientific files, including CSV/TSV/JSON profiles, optional NumPy, HDF5, FASTA/FASTQ and image metadata inspection, audits, and EDA report scaffolds.

Validates BED and universe contracts, plans Region2Vec and scEmbed runs, checks model and tokenizer compatibility, and assesses consensus universes for audited, local-only genomic-interval ML workflows.

Guidance and local audit tools for Python workflows using GeoPandas GeoSeries, GeoDataFrame, spatial operations, CRS handling, and vector-data I/O. Includes safety gates for provenance, geometry validity, and privacy-aware geodata sharing.

Gtars offers local genomic interval models, set algebra, overlap/count operations, consensus and coverage, tokenization, fragment processing, and refget/BEDbase planning across Python, Rust, and CLI.