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Found 1,418 Skills
Android Debug Bridge (ADB) assistant for inspecting, debugging, and managing Android devices
Regular expression expert for crafting, debugging, and explaining patterns
Use this skill when managing Linux servers, writing shell scripts, configuring systemd services, debugging networking, or hardening security. Triggers on bash scripting, systemd units, iptables, firewall, SSH configuration, file permissions, process management, cron jobs, disk management, and any task requiring Linux system administration.
Runs .NET tests with dotnet test. Use when user says "run tests", "execute tests", "dotnet test", "test filter", "tests not running", or needs to detect the test platform (VSTest or Microsoft.Testing.Platform), identify the test framework, apply test filters, or troubleshoot test execution failures. Covers MSTest, xUnit, NUnit, and TUnit across both VSTest and MTP platforms. DO NOT USE FOR: writing or generating test code, CI/CD pipeline configuration, or debugging failing test logic.
Go-specific code review with 6-phase methodology: Context, Automated Checks, Quality Analysis, Specific Analysis, Line-by-Line, Documentation. Use when reviewing Go code, PRs, or auditing Go codebases for quality and best practices. Use for "review Go", "Go PR", "check Go code", "Go quality", "review .go". Do NOT use for writing new Go code, debugging Go bugs, or refactoring -- use golang-general-engineer, systematic-debugging, or systematic-refactoring for those tasks.
Use this skill to interactively debug Antithesis test runs using the multiverse debugger. Open a debugging-session URL, inspect container filesystems and runtime state, run shell commands, and extract evidence from inside the Antithesis environment. Supports both the simplified debugger (default) and the advanced notebook mode.
CrewAI task design and configuration. Use when creating, configuring, or debugging crewAI tasks — writing descriptions and expected_output, setting up task dependencies with context, configuring output formats (output_pydantic, output_json, output_file), using guardrails for validation, enabling human_input, async execution, markdown formatting, or debugging task execution issues.
Review and implement safe concurrency patterns in Go: goroutines, channels, sync primitives, context propagation, and goroutine lifecycle management. Use when writing concurrent code, reviewing async patterns, checking thread safety, debugging race conditions, or designing producer/consumer pipelines. Trigger examples: "check thread safety", "review goroutines", "race condition", "channel patterns", "sync.Mutex", "context cancellation", "goroutine leak". Do NOT use for general code style (use go-coding-standards) or HTTP handler patterns (use go-api-design).
Python and wxPython development reference patterns, common pitfalls, framework-specific guides, desktop accessibility APIs, and cross-platform considerations. Use when building, debugging, packaging, or reviewing Python desktop applications.
Production-first enterprise skill for The Composable Architecture (TCA) with SwiftUI (iOS 16+, TCA 1.7+). This skill should be used when building new TCA features with @Reducer macro, decomposing god reducers, implementing StackState/StackAction navigation or tree-based @Presents navigation, writing TestStore tests, migrating legacy TCA code to modern @ObservableState patterns, debugging TCA performance issues, managing side effects and dependencies with @DependencyClient, or reviewing TCA code for anti-patterns. Use this skill any time someone works with TCA reducers, stores, effects, or dependencies — AI tools consistently generate outdated pre-1.7 TCA patterns, so this skill is essential for correct code.
Turbopack expert guidance. Use when configuring the Next.js bundler, optimizing HMR, debugging build issues, or understanding the Turbopack vs Webpack differences.
Fine-tunes and evaluates OpenVLA-OFT and OpenVLA-OFT+ policies for robot action generation with continuous action heads, LoRA adaptation, and FiLM conditioning on LIBERO simulation and ALOHA real-world setups. Use when reproducing OpenVLA-OFT paper results, training custom VLA action heads (L1 or diffusion), deploying server-client inference for ALOHA, or debugging normalization, LoRA merge, and cross-GPU issues.