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Found 21 Skills
Safe Rust refactoring with LSP analysis. Triggers on: /refactor, rename symbol, move function, extract, 重构, 重命名, 提取函数, 安全重构
Explore Rust trait implementations using LSP. Triggers on: /trait-impl, find implementations, who implements, trait 实现, 谁实现了, 实现了哪些trait
Start a new learning episode in the self-learning memory system with proper context. Use this skill when beginning a new task that should be tracked for learning from execution patterns.
Synchronize memories between Turso (durable) and redb (cache) storage layers. Use when cache appears stale, after failures, or during periodic maintenance.
Use when working on Solana Anchor programs, including Rust program files, TypeScript tests, and Anchor.toml configuration. Enforces coding guidelines like proper variable naming, avoiding magic numbers, using Array<T> syntax, and Anchor 0.32.1 best practices.
Guide for implementing formatting rules using Biome's IR-based formatter infrastructure. Use when working on formatters for JavaScript, CSS, JSON, HTML, or other languages. Examples:<example>User needs to implement formatting for a new syntax node</example><example>User wants to handle comments in formatted output</example><example>User is comparing Biome's formatting against Prettier</example>
General-purpose agent for researching complex questions, searching for code, and executing multi-step tasks. Use when you need to perform comprehensive searches across codebase, find files that are not obvious in first few searches, or execute multi-step tasks requiring multiple tools and approaches.
Runs Fastly Compute WASM applications locally with Viceroy, specifically for Rust and Component Model projects. Use when starting a local Fastly Compute dev server with Viceroy, configuring fastly.toml for local backend overrides and store definitions, running Rust unit tests with cargo-nextest against the Compute runtime, debugging Compute apps locally, adapting core WASM modules to the Component Model, or troubleshooting local Compute testing issues (connection refused, missing backends, store config). For non-Rust Compute work or understanding the Compute API, prefer the fastlike skill instead — its source code is easier to understand as a Fastly Compute API reference.
Log execution steps during episode execution for detailed tracking and learning. Use when recording tool usage, decision points, errors, or milestones during task execution.
Maintain high code quality through formatting, linting, and static analysis. Use code-quality skill and scripts for rustfmt, clippy, or cargo audit.
This skill MUST be used for semantic Rust navigation and analysis: resolving definitions across crate boundaries, finding all references to a symbol, inspecting inferred types or trait implementations, searching symbols by name, and renaming symbols safely. SHOULD be preferred over grep or file reads whenever the task requires Rust-aware understanding.
Visualize Rust function call graphs using LSP. Triggers on: /call-graph, call hierarchy, who calls, what calls, 调用图, 调用关系, 谁调用了, 调用了谁