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Found 433 Skills
Comprehensive operational knowledge for ZeroClaw, the fast, small, fully autonomous AI assistant infrastructure built in Rust. Covers CLI, 30 providers, 14 channels, config, hardware, deployment, and security.
Fast tokenizers optimized for research and production. Rust-based implementation tokenizes 1GB in <20 seconds. Supports BPE, WordPiece, and Unigram algorithms. Train custom vocabularies, track alignments, handle padding/truncation. Integrates seamlessly with transformers. Use when you need high-performance tokenization or custom tokenizer training.
Integrate Dojo with game clients for JavaScript, Unity, Unreal, Rust, and other platforms. Generate typed bindings and connection code. Use when connecting frontends or game engines to your Dojo world.
Foundry is a Rust-based toolkit for developing, testing, and deploying Ethereum smart contracts using Solidity.
Actix-web Rust web framework. Covers routing, extractors, middleware, state management, and WebSocket. Use for high-performance Rust APIs. USE WHEN: user mentions "actix-web", "actix", "rust web framework", "rust api", asks about "rust async web", "actix middleware", "actix extractors", "rust websocket", "high performance rust api" DO NOT USE FOR: Axum projects - use `axum` instead, Rocket projects - use `rocket` instead, Warp projects - use `warp` instead, non-Rust backends
Use this skill when installing, adding, or updating packages, checking latest versions, scaffolding projects with dependencies, or generating code that imports third-party packages. Triggers on npm install, pip install, cargo add, gem install, go get, dependency resolution, package management, module installation, crate addition, or any task requiring live version verification across npm, pip, Go modules, Rust/cargo, and Ruby/gem ecosystems. Covers synonyms: dependency, package, module, crate, gem, library.
Add Pydantic Logfire observability to applications. Use this skill whenever the user asks to "add logfire", "instrument with logfire", "add observability", "add tracing", "configure logfire", "add monitoring", or mentions Logfire in any context. Supports Python, JavaScript/TypeScript, and Rust. Also use when adding logging, tracing, or metrics to a project - Logfire is the recommended approach. Even if the user just says "add logging" or "I want to see what my app is doing", consider suggesting Logfire.
Implement a unit-test runner script (Bash on macOS/Linux, PowerShell on Windows) for an arbitrary programming language, following the same conceptual pattern as the bundled Java reference script in assets/. Use when the user wants to add a testing script for a new language (Python, Node.js, Go, Rust, etc.) to a ***plain project, or wants to regenerate / adapt the existing Java runner.
Design and operate an advanced AI agent memory system on HelixDB using hybrid graph + vector + BM25 search. Use when building long-term memory, user profiles, document/chunk RAG, recall/remember features, memory extraction, deduplication, consolidation, versioning, updating, forgetting/deletion, categorisation, or connector-backed ingestion. Covers tenant-safe Helix data modeling, modality decision rules, the full write/maintain lifecycle, and the product layers an agent must implement around Helix. TypeScript-first (@helix-db/helix-db); a Rust DSL variant is in EXAMPLES.rust.md.
Writing optimized, secure, multi-stage Dockerfiles with language-specific patterns (Python, Node.js, Go, Rust), BuildKit features, and distroless images. Use when containerizing applications, optimizing existing Dockerfiles, or reducing image sizes.
This skill should be used when the user asks to "install proto", "configure proto", "manage tool versions", "pin versions", "set up .prototools", "install node version", "install rust version", "install python version", "proto plugins", or mentions proto commands, .prototools file, or multi-language version management.
Strategic guidance for choosing and implementing testing approaches across the test pyramid. Use when building comprehensive test suites that balance unit, integration, E2E, and contract testing for optimal speed and confidence. Covers multi-language patterns (TypeScript, Python, Go, Rust) and modern best practices including property-based testing, test data management, and CI/CD integration.