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Found 2,443 Skills
Google Workspace CLI for Gmail, Calendar, Drive, Docs, Sheets, and Slides using gogcli. Use when asked to search email, schedule meetings, manage files, edit documents, update spreadsheets, or create presentations.
Work inside one artist's folder — read and update their context, brand, songs, and releases. Use for "organize [artist]'s files", "update [artist]'s brand/context", "what's in [artist]'s workspace", or any task about a named artist's files. To list your whole roster use recoup-roster-list-artists; for research/metrics on an artist use recoup-research-artist-overview.
Scaffold and run a label's self-managing "music-company OS" inside its own git repo — the full label-intelligence workspace (folders, a self-managing CLAUDE.md mirrored to AGENTS.md, a read-only doctor + never-stale janitor, compound-learning and self-improvement loops, an in-place plugin) seeded with Recoup's conventions (top-level artists/{slug}/RECOUP.md identity files, releases/{slug}/RELEASE.md) and backed by the Recoup API as system of record. Use for "set up our label OS", "build the org workspace", "turn this repo into our label brain", or onboarding a new org/label repo. Pulls the real roster from the live account (auth via recoup-platform-connect-account), onboards artists API-first via recoup-roster-add-artist, and calls the other recoup-* skills (research/content/release/song/catalog) instead of reinventing them. The single workspace/OS builder — also covers the lightweight "just mirror my roster into folders" case.
Search, read, append to, and create Notion pages and databases via the Notion REST API. Use when the user mentions Notion, a page in their workspace, or wants to log something to a database.
Reduce LLM size and accelerate inference using pruning techniques like Wanda and SparseGPT. Use when compressing models without retraining, achieving 50% sparsity with minimal accuracy loss, or enabling faster inference on hardware accelerators. Covers unstructured pruning, structured pruning, N:M sparsity, magnitude pruning, and one-shot methods.
Train Mixture of Experts (MoE) models using DeepSpeed or HuggingFace. Use when training large-scale models with limited compute (5× cost reduction vs dense models), implementing sparse architectures like Mixtral 8x7B or DeepSeek-V3, or scaling model capacity without proportional compute increase. Covers MoE architectures, routing mechanisms, load balancing, expert parallelism, and inference optimization.
Rust systems programming patterns and style guide for building reliable systems software. This skill should be used when writing Rust code, especially for systems programming, CLI tools, or performance-critical applications. Covers project organization with Cargo workspaces, module structure, naming conventions (RFC 430), type/trait patterns (Option, builders, associated types), and error handling with thiserror/anyhow.
This skill provides comprehensive instructions for using gogcli (gog), a fast, script-friendly CLI for Google Workspace services including Gmail, Calendar, Drive, Docs, Sheets, Slides, Chat, Classroom, Contacts, Tasks, People, Groups, and Keep. This skill should be used when the user wants to interact with Google services via the command line, including reading/sending email, managing calendar events, working with Google Drive files, managing classroom courses, or any other Google Workspace operations. The skill assumes gog is installed and authorised.
Perform spatial analysis, geometry operations, and use ArcGIS REST services. Use for routing, geocoding, geoprocessing, elevation analysis, viewshed, and feature queries with statistics.
Allows reading the decompiled C# code of Space Engineers version 1
Use when designing monorepo structure, organizing packages, or migrating to monorepo architecture with architectural patterns for managing dependencies and scalable workspace configurations.
Enables Claude to send messages, manage spaces, and handle Google Chat communications