Loading...
Loading...
Found 9,243 Skills
Comprehensive iOS/SwiftUI code review with optional parallel agents
Verify documentation coverage and generate missing docs interactively
This skill analyzes meeting transcripts to extract decisions, action items, opinions, questions, and terminology using Cerebras AI (llama-3.3-70b). Use this skill when the user asks to analyze a transcript, extract action items from meetings, find decisions in conversations, build glossaries from discussions, or summarize key points from recorded meetings.
Control timeBuzzer hardware LED via MIDI — set color, effects (pulse, strobe, rainbow, fade), and semantic status signals. Use when the user asks to change the buzzer LED color, signal status through the buzzer, or sync the buzzer with other lighting.
gRPC service development in .NET for high-performance inter-service communication
Generate a dedicated Obsidian learning vault for any certification, course, or study goal. Creates structured notes with domains, concepts, lessons, scenarios, MoCs, dataview queries, action items, and multiple navigation paths. Inspired by the genome vault pattern. Use when the user wants to create a study vault, learning vault, certification prep vault, or structured knowledge base for a learning goal.
Techniques for writing effective fuzzing harnesses across languages. Use when creating new fuzz targets or improving existing harness code.
LibAFL is a modular fuzzing library for building custom fuzzers. Use for advanced fuzzing needs, custom mutators, or non-standard fuzzing targets.
Provides expertise for analyzing DWARF debug files and understanding the DWARF debug format/standard (v3-v5). Triggers when understanding DWARF information, interacting with DWARF files, answering DWARF-related questions, or working with code that parses DWARF data.
Provides Zig patterns for type-first development with tagged unions, explicit error sets, comptime validation, and memory management. Must use when reading or writing Zig files.
Reviews Go code for idiomatic patterns, error handling, concurrency safety, and common mistakes. Use when reviewing .go files, checking error handling, goroutine usage, or interface design.
Test PydanticAI agents using TestModel, FunctionModel, VCR cassettes, and inline snapshots. Use when writing unit tests, mocking LLM responses, or recording API interactions.