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Found 1,100 Skills
Clones, analyzes, plans, and migrates legacy codebases (C++, Fortran, Java, Python, C, Shell) from a GitHub URL or local directory to a modern, high-performance, deterministic, 100% Safe Rust architecture, tracking live telemetry across every task bucket, test failure/fix cycle, and Profile-Guided Optimization (PGO) stage, and producing a first-person AI storytelling report and interactive HTML infographic. Use when migrating a GitHub repository or local codebase to Rust, porting legacy C++, Fortran, Python, or Java workloads to memory-safe Rust, designing Struct-of-Arrays (SoA) or SIMD Rust architectures, or optimizing Rust ports with LLVM PGO. Don't use for unrelated non-Rust refactoring or single-line syntax questions.
Make Sentry stack traces readable — upload source maps for JavaScript/TypeScript, or debug files for native and mobile (dSYM, ProGuard/R8, NDK symbols, Dart obfuscation maps, .NET PDBs). Use when frames in Sentry show minified names, bundled paths, hex addresses, "unknown", or method names with no file/line, instead of your original source.
Set up, operate, tune, and troubleshoot Minecraft Java 26.x and legacy 1.21.x servers across Paper, Purpur, Folia, Velocity, Fabric, and NeoForge. Use for infrastructure, backups, proxies, and live operations, not plugin or mod development.
Stand up a NEW Bun/TypeScript, Next.js, or Java (Quarkus) repo to the atelier standard from zero — scaffold the Clean Architecture (or Atomic Design) layout, copy the gate assets, wire the git hooks, write the build scripts, lay a minimal green walking skeleton, and prove every gate passes before the first commit. Use when starting a fresh repo or a new monorepo package from scratch — say "scaffold a new Bun repo", "bootstrap a new project to the standard", "set up a new atelier repo / Next.js package", or "scaffold a new Java/Quarkus service". Greenfield only. NEVER use it for work inside an existing codebase (adding features, setting up lint or tooling, config changes) — those belong to the main atelier skill, or to atelier-review-me adopt mode for bringing a brownfield repo up to the standard.
Port code from C, C++, Python, Go, JavaScript, or TypeScript into idiomatic Rust that keeps the original behavior: ownership instead of manual memory, Result instead of error codes and exceptions, enums instead of flag ints and magic strings, and tests that prove the port matches. Use this whenever the user asks to port, translate, convert, migrate, or rewrite code in Rust ("rewrite this in Rust", "what would this look like in Rust", "move this module to Rust"), even if they don't say "port". Pairs with the rust-best-practices skill, which covers the target code's style.
Use when passing comments, context, messages, status, Markdown, generated text, or other data to CLI commands, including commands assembled in JavaScript.
Design, implement, and review Kotlin and Android APIs. Use when working on .kt files, Kotlin nullability, sealed classes/interfaces, coroutines, Android threading, Java interop, or Kotlin-backed React Native Nitro Module implementations.
Hunt Open Redirect — all types including low-impact, chained to OAuth token theft → ATO, phishing chains. URL parameter manipulation, JavaScript redirect, meta refresh, header injection. Use when hunting redirect bugs or building ATO chains.
Add particle effects (smoke, fire, sparks, magic, glow, dust, snow, drips, bubbles, bursts) to Blockbench models with MCP tools. Covers Bedrock/Snowstorm particle JSON, presets and design knobs, locators, particle keyframes on animations, Blockbench's Animate-mode preview, and delivery to Bedrock resource packs (client entity particle_effects) and GeckoLib, plus fallbacks for glTF, Java block and Hytale targets that cannot carry particles. Use when a model needs an emitter, VFX, particle effect, locator, Snowstorm file, particle_effects keyframe, or effect polish in a deliverable.
Provides comprehensive guidance for searching and retrieving Maven components from Maven Central Repository (https://repo1.maven.org/maven2/). This skill enables searching by groupId, artifactId, version, and other coordinates, retrieving component metadata (POM files, JARs, sources, Javadoc), querying version history, and analyzing dependencies. Use when the user needs to find, verify, or retrieve Maven dependencies, check component versions, analyze dependency trees, or work with Maven coordinates.
Creates, deploys, and troubleshoots BigQuery User-Defined Functions (UDFs) and Remote Functions across SQL, JavaScript, Python, and Cloud Run endpoints. Use when writing custom scalar or aggregate functions in BigQuery, installing PyPI packages or Cloud Storage libraries in a Python or JavaScript UDF, or calling Google Cloud and external APIs from a Python UDF (WITH CONNECTION) or Remote Function. Don't use for standard BigQuery table/dataset CRUD (use bigquery-basics), DataFrames client workflows (use bigquery-bigframes), or BigQuery ML models (use bigquery-ai-ml).
Monitor Java Virtual Machines running on IBM i including heap memory usage, garbage collection activity, thread counts, and JVM configuration. Use when user asks about: (1) active JVMs on the system, (2) JVM heap or memory consumption, (3) garbage collection performance, (4) Java thread counts, (5) JVM home directories or properties, (6) identifying JVMs at risk of OutOfMemoryError, or (7) replacing WRKJVMJOB command output.